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Manager, Research Development and Inclusive Excellence

Date Posted: 08/25/2025
Req ID: 44932
Faculty/Division: VP - Research
Department: Research Services Office
Campus : St. George (Downtown Toronto)

Description:

About us:

The Vice-President, Research & Innovation (VPRI) portfolio supports the University of Toronto as a top public research university in the world. Our mission is to create the most supportive environment possibleso that our researchers, innovators and learners can do what they do best —advance understanding and apply new knowledge. Our work supports, fosters and promotes the research and innovation culture and activities of our faculty, staff and students, alongwith our partner hospitals, funding sponsors, and partners in the public and private sector. VPRI provides a full range of services including guidance to faculty, staff and students on funding opportunities, research agreement negotiation, oversight and accountability services including research accounting, environmental health and safety, innovation and entrepreneurship, partnerships, policies and procedures, and institutional awards and honours.

Your opportunity:

The Manager, Research Development and Inclusive Excellence supports, and in some cases leads, the establishment, implementation, assessment and strategic research focusing on the integration and execution of EDI efforts within the Research Services Office (RSO) and, where appropriate, towards the priorities of the Division of the Vice-President, Research (VPRI), with a focus on ensuring EDI considerations are effectively integrated into research funding proposals, internal competitions, and funded projects. With a comprehensive understanding of a range of equity issues and resources related to the protected grounds as identified in the Ontario Human Rights Code, the incumbent educates, informs and advances principles of equity, diversity and inclusivity through outreach, drafting/editing documentation, and providing advice and information. The Manager also serves as a subject matter expert for VPRI leadership and academic divisions with respect to how EDI and research funding organizations criteria apply in the context of sponsored research.

The Manager also develops and implements strategies, tools and resources to increase and optimize the University’s participation and success in external funding opportunities, by coordinating and delivering editorial reviews, training, workshops, and proposal development plans. Additionally, the Manager will be a key contributor to institutional reporting, web materials, publications, presentations external & internal communications, on-campus events, and other knowledge dissemination channels to celebrate research successes and promote further opportunities for engagement.

To achieve both these institutional research development and EDI goals, the Manager will consult and collaborate regularly with University leadership including VPRI Assistant and Associate Vice-Presidents, Vice Deans, Research, Executive Director, EDI, divisional research administration and EDI leads, counterparts at other institutions, and other relevant stakeholders.

Essential Qualifications:
(MINIMUM)

EDUCATION:

Post Graduate Degree, or acceptable equivalent combination of education and experience. Equivalent qualifications would be relevant training/experience that demonstrates understanding of issues inherent to equity, diversity and inclusion and/or professional experience developing funding proposals.

EXPERIENCE:

Minimum six (6) years relevant experience in both research development and EDI principles as applied to academic research. Extensive knowledge of and experience in a research-intensive university environment. Experience coordinating the development of large, complex research funding proposals. Experience writing/editing research funding proposals and related documents, coordinating peer reviews, and promoting funding programs. Comprehensive knowledge of current best practices for promoting EDI and anti-racism in academic research settings. Experience developing, implementing, and evaluating institutional equity programs within a higher education environment. Proven experience as a project leader with a successful record of advancing EDI within a complex organization. Experience with complex report writing at a senior level. Clear evidence of direct or indirect people leadership and a record of working collaboratively with a wide range of constituencies with diplomacy, empathy, and tact. Demonstrated experience and competence in developing targeted training for diverse groups.

SKILLS:

Excellent oral and written communication skills. Strong staff management and leadership skills. Advanced interpersonal, facilitation and mediation skills, as well as the ability to exercise a high degree of diplomacy and discretion. Expert knowledge of Canadian research administration policies and practices and the Canadian funding landscape. Collaborative, open and creative approach to problem solving and a willingness to address challenging issues. Ability to understand and enable diverse viewpoints and approaches to achieve goals. An innovative and strategic thinker with a broad vision for the role of EDI in achieving institutional research excellence. Ability to introduce and implement change within an organizational structure, enable others, and to operate at the strategic, policy and operational levels.

OTHER:

Knowledge of societal inequities on local and global levels, and self-awareness of values, beliefs, stereotypes, prejudices, cultural conventions, language use, and any barriers and enablers to equity. Demonstrated analytical skills, including the ability to maintain databases and produce statistical reports/analyses to inform use initiative and good judgment in decision making.

Closing Date: 09/08/2025,11:59PM ET
Employee Group: Salaried
Personnel Subarea: PM
Appointment Type : Budget - Continuing
Schedule: Full-Time
Pay Scale Group & Hiring Zone: PM 4 -- Hiring Zone: $106,705 - $24,491 -- Broadband Salary Range: 106,705 - 177,843
Job Category: Administrative / Managerial

Diversity Statement

The University of Toronto embraces Diversity and is building aculture of belonging that increases our capacity to effectivelyaddress and serve the interests of our global community. Westrongly encourage applications from Indigenous Peoples,Black and racialized persons, women, persons withdisabilities, and people of diverse sexual and gender identities.We value applicants who have demonstrated a commitment toequity, diversity and inclusion and recognize that diverseperspectives, experiences, and expertise are essential tostrengthening our academic mission.

As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes. For more information, please see .

Accessibility Statement

The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission.

The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities.

If you require any accommodations at any point during the application and hiring process, please .

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Games Global Graduate Programme 2026

Are you a graduate or final-year student searching for a suitable career opportunity in an energetic IT company? If so, then look no further.

The Games Global Graduate Programme provides 12 months of valuable on-the-job training to graduates who are eager to initiate their careers within the IT industry. This experiential learning programme is an excellent opportunity for graduates to jump-start their career development while gaining valuable knowledge, skills, and experience in a fast-paced and dynamic work environment.

Duration:

12-month Graduate Programme starting from January 2026 to December 2026. At the end of the programme, there are opportunities for absorption into permanent roles at Games Global.

Salary:

Market-Related Salary and Company Benefits

Responsibilities

As a Graduate Data Scientist, you will get first-hand exposure to various data-centric career paths in Games Global. A view of the work the candidate will be engaged in within each department is given below.

Day to day responsibilities will include, but are not limited to the following:

• Game Performance analysis to find trends between key metrics.
• Working with stakeholders to investigate the relationship between Game Design and Game Performance.
• Communicate and present findings to the team.
• Data Visualization
• Hypothesis Testing
• Regression Analysis
• Market research on the latest industry trends and game releases.
• Artificial Intelligence projects.

Qualifications

• Bachelor of Science
• Bachelor of Data Science
• Bachelor of Data Analytics
• Bachelor of Science - Artificial Intelligence
• Bachelor of Science – Mathematics
• Bachelor of Science – Statistics
• Bachelor of Computer Science and Mathematical Science
• Bachelor of Computer Science and Applied Mathematics
• Related undergraduate or postgraduate qualification in a quantitative field such as Mathematics, Statistics, Data Science, Computer Science, Physics, Finance, Economics or Engineering
• Related undergraduate or postgraduate qualification in Artificial Intelligence

Requirements:

• Be a Graduate or Final-Year Student when applying
• Have an average of 70 % and above in marks from first year to final year
• Matric Mathematics score – 70% and above
• South African Citizen
• Under the age of 35 years
• Interest in the world of gaming
• Willingness to learn new technologies

For more information, contact:

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Business Segment: Corporate & Investment Banking

Location: ZA, GP, Johannesburg, 5 Simmonds Street

We are seeking an experienced Senior Data Scientist to lead the design, development, and deployment of advanced analytical and machine learning solutions. The ideal candidate will be responsible for solving complex business problems through data-driven insights, predictive modelling, and AI solutions.

This role requires strong expertise in statistical modelling, machine learning, and deep learning, along with proven experience deploying models into production within hybrid cloud environments (Azure and AWS). The Senior Data Scientist will collaborate with stakeholders across business and technology teams, ensuring solutions are scalable, explainable, and deliver measurable value.

Qualifications

Type of Qualification: First Degree
Field of Study:

• Computer Science, Statistics, Applied Mathematics, or related
• Advanced degree (MSc/PhD) preferred.
• Certifications in Azure Machine Learning, AWS Sagemaker, or related platforms advantageous

Experience Required
5-8 years

• Minimum 5–8 years’ experience in Data Science and Machine Learning
• Proven track record of deploying ML models into production (Azure ML, AWS Sagemaker, or Databricks)
• Strong expertise in Python (Pandas, Scikit-learn, TensorFlow, PyTorch) and SQL
• Solid understanding of statistics, time series analysis, NLP, and deep learning
• Experience with MLOps, CI/CD pipelines, and model monitoring
• Exposure to big data ecosystems (Spark, Databricks, Hadoop) is advantageous
• Experience working in financial services or large-scale enterprise environments (preferred)

Additional Information

• Adopting Practical Approaches
• Articulating Information
• Challenging Ideas
• Empowering Individuals
• Making Decisions
• Producing Output
• Pursuing Goals
• Resolving Conflict
• Showing Composure
• Upholding Standards
• Machine Learning & Deep Learning (Supervised, Unsupervised, NLP, GenAI)
• Statistical Modelling & Advanced Analytics
• Data Wrangling & Feature Engineering
• MLOps & Model Lifecycle Management
• Business Problem-Solving & Value Creation

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Job Details

Job Location : South Africa

Salary Range : Undisclosed

Please apply on our website:

About Us : Love Justice International (LJI) is a Christian nonprofit organization and our mission is sharing the love of Jesus Christ by fighting the world’s greatest injustices. We do this in two primary ways: through our expanding anti-human trafficking work and by caring for orphaned and abandoned children. We are seeking faithful, compassionate, thoughtful problem-solvers who are able to think deeply and carefully about how we can share Christ's love by fighting injustice. You can make more money elsewhere, and probably find better ways to live an easier, more comfortable life. We see this work as more than just a job, but as a calling to that mission. If you are called to our mission and want to find out how you can fit into our work, apply today!

Love Justice International is a certified Best Christian Workplace in 2021 - 2024. Clickhere for more information about us.

Position Overview : LJI adopts a data-centric and evidence-based approach to all aspects of our work. For our anti-trafficking program, we collect, verify, and analyze data about victims and suspected traffickers, using our own software, which helps to provide insight into traffickers’ strategies and to evaluate our work. For our children’s ministry, we implemented a comprehensive assessment strategy, aimed at measuring 14 different developmental outcomes in our children, including academic performance, emotional stability, and pro-social behavior, comparing them to control groups in Nepal.

The primary duty of the Data Scientist is to bring scientific and statistical methodologies to bear on the evaluation and execution of key program strategies. The Data Scientist will report to the President. The position is based in South Africa. All candidates should be willing to travel one to two months per year (spread over multiple shorter trips).

Primary Duties and Responsibilities :

• Help build and continually improve predictive assessments used for hiring in a variety of positions
• Finding ways to objectively measure the positive outcomes in children in our homes against the wider population.
• Helping us maximize the effective and intelligent use of statistical tools in analyzing our anti-trafficking data and migration survey data in order to help us more effectively prevent human trafficking and lead people toward safe and prosperous foreign employment.
• Using scientific and mathematical tools to optimize decision-making and policy formulation in all areas of our work.

The duties listed above are conducted within a work culture that is striving to emulate Christ and make him first and central. Staff should agree with the following ideas included in what it means to us to Abide in Christ (our first Global Value):

• Our Primary Identity is in Christ
• We Believe God Is Sovereign Over Injustice
• We Are Made, Called, and Led By Christ
• We Commit to Connect with Jesus
• Prayer Should Be Central To Our Work
• Our Conduct Is Our Testimony

Qualifications :

• Mature Christian faith and agreement with our Global Value to “Abide in Christ”
• Knowledge, understanding, and agreement with how the Christian Gospel ministers to “the least of these” (Matthew 25:40) and guides us in our mission
• Agreement with our Core Value “Be the Kingdom”(both in the execution of our mission and in our personal lives)
• Acknowledgement of ourStatement of Faith
• Excellent oral and written communication skills
• Strong analytical and problem-solving skills, capable of assessing complex issues and finding systematic solutions
• Ability to multi-task and manage various projects simultaneously
• A master's degree or higher (doctoral degree preferred) in data science, research methods, statistics in the social sciences, or a related field
• Proficiency in Python, R or an equivalent programming language

Application Process: We will continue to invite applications for this position until a new Data Scientist has been hired. We welcome applications continuously, as we actively seek exceptional candidates for this position. Candidates will submit a letter of interest and CV when they submit their applicationhere . Nominations, inquiries, and questions concerning this search may be directed to

Please allow us 1-2 weeks to process your application. Thank you for your interest!

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Lead Research Analyst with Portuguese London Stock Exchange Group Cape Town, South Africa

YOU AND YOUR TEAM
The job of a Research Analyst in World-Check is one where we appreciate language skills, journalistic approach, and critical thinking proficiency. Our core is to provide search and analysis through reputable sources related to publicly exposed persons (PEP), companies, and institutions. The information collected and analyzed supports our clients align with Know Your Customer (KYC) regulations and reduce financial or reputational risk of a missed investment.

We are multinational and multilingual team working closely with peers across other locations. We're now growing the size of our department.

SOME OF THE TASKS YOU WILL PERFORM

• Researching reputable media, government, regulatory and law enforcement sources to build and maintain relevant data in LSEG applications
• Using open-source research methods to gather information in the public domain
• Identifying regulatory and financial risk such as money laundering, fraud, organized crime, narcotics trafficking, and corruption
• Becoming familiar and staying up to date with guidelines and regulations to ensure accuracy and high quality of delivered work
• Collaboration with globally based teams on shared projects

WHAT DO YOU NEED TO BRING

• Proficiency in English and Portuguese essential (French an advantage)
• Any additional language is helpful.
• Critical thinking, analytical skills, and attention to details
• Organization skills
• Very good use of Microsoft Office applications
• Good written and verbal communication skills

ADDITIONAL DESIRABLE SKILLS

• Awareness of the socio-political context of the countries matching your language skills
• Know Your Customer / Anti-Money Laundering / Financial Crime knowledge and experience would be an advantage

HOW TO GET PREPARED FOR AN INTERVIEW
Please do the research. Even if you don't have experience in any AML or KYC field, you can source plenty of available information and make your effort to understand the general purpose of this growing industry. We recommend you look through information related to AML, KYC, PEP, Financial Crime, World-Check (a Refinitiv product).

Why Join Us?
A Diverse and Inclusive Workforce: an ability to work within a global, diverse and inclusive company with 300 years heritage and 25,000 people; We have a variety of Inclusion Networks who are a powerful lever of belonging, Plus an Employee Referral Bonus Scheme
Constant Learning: 90 Day Sales On-Boarding Program, e-learning platform, a range of workshops, Access to real-time economic data
Professional Development: Quarterly Connects to ensure you meet your Goals & Objectives
Focus on Wellbeing ; A hybrid working model, we promote physical health and provide access to Mental Health Support, private medical healthcare, corporate pension plan, Daily "Me Hour", Annual wellness allowance
Make An Impact: 2 Volunteer Days a Year to Help Make the World a Better Place, Matched Fundraising

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership , Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it's used for, and how it's obtained, your rights and how to contact us as a data subject .

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership , Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it's used for, and how it's obtained, your rights and how to contact us as a data subject .

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

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Discovery Health

Senior Data Scientist

About Discovery

Discovery’s core purpose is to make people healthier and to enhance and protect their lives. We seek out and invest in exceptional individuals who understand and support our core purpose, and whose own values align with those of Discovery. Our fast-paced and dynamic environment enables smart, selfdriven people to be their best. As global thought leaders, Discovery is passionate about innovating in order to not only achieve financial success, but to ignite positive and meaningful change within our society.

About (Data Science Lab)

The Group DS Lab is growing and positions are available. The lab applies predictive analytics, machine learning, big data and operations research skills, to run and to support key projects for the Group and for the individual Discovery business units. We work across clinical, wellness, financial, sales, operational, people and behavioural theme areas, using modern analytics tools on terabytes of structured and unstructured data within a big data architecture. We are also mandated to find opportunities to use new data sets and in areas not typically accustomed to using data science.

Key Purpose

The Data Science Lab is a highly specialised and expanding team that tackles challenges in the health, life, and short-term insurance businesses, as well projects that cut across the whole of the Discovery Group. We are looking for individuals with 2-5 years of experience, for projects related to:

- risk management through behavioural science and intervention (next best action) design

-combining traditional data (eg: wearable device, web & app logs, health & life insurance claims) with novel data sources in new ways

-assisting with experimental design for product, rewards, marketing, communications, engagement etc

-advising partner markets on how to customise and deploy locally built models

They will have the opportunity to work with cutting edge technology and advanced techniques to see their models used in real business applications. The innovative work environment means there are opportunities to shape new projects with a focus on helping insurance customers to lead healthier lives.

Areas of responsibility may include but not limited to

• Identify and build appropriate models to predict risk, sales and savings
• Present data insights and model findings in a way that provides actionable insights for business stakeholders and senior executives
• Mining and visualising large structured and unstructured datasets throughout the businesses to inform product design, risk management, customer interaction strategies, etc.
• Following model implementations through to business adoption
• Monitoring model performance and using feedback for improvement
• Improving processes and data collections where opportunities arise
• Running scientific experiments to evaluate different models in a reproducible way
• Produce analytical work that is customer, business and staff focused

Personal Attributes and Skills

• A creative and enthusiastic attitude to unearthing valuable insights and generating value for Discovery clients
• Ability to balance multiple priorities and to step back and see how analytics work fits into the wider business context
• Results driven, curious and able to work autonomously or within teams
• Good time and task management skills
• Ability to communicate results of analyses in a clear and effective manner
• Aligned to Discovery values and core purpose

Education and Experience

• Master’s or PhD degree in either Data Science, Actuarial Science, Statistics, Operations Research, Computer Science,Applied Mathematics or Engineering fields.

• Ability to formulate a clear problem statement, develop a plan for tackling it, and clearly communicate findings verbally, visually, and in writing
• Demonstrableworking experience in an analytics position, where the focus was onbuilding and implementing machine learning models to solve business problems
• Experience accessing and analysing data using language/tools/databases such as Python, R, SQL, etc.
• Experience using Gradient Boosting Machines, Random Forests, Neural Networks or similar algorithms.
• Good knowledge of Microsoft Office tools.

Advantageous:

• Some experience in working with big disparate sets of data and exposure to big data tools
• The ideal candidate will possess a deep interest in the healthcare industry, particularly in leveraging behavioral science to promote disease management and prevention. Additionally, they should demonstrate a strong understanding of strategic risk management principles and their application across the healthcare value chain.

EMPLOYMENT EQUITY

The Company’s approved Employment Equity Plan and Targets will be considered as part of the recruitment process. As an Equal Opportunities employer, we actively encourage and welcome people with various disabilities to apply.

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As a Senior Data Scientist within our Marketing Intelligence team, you will play a key role in the development and implementation of advanced data services and solutions, leveraging machine learning (ML) and artificial intelligence (AI) to drive profitability and value for our clients. You will possess a deep understanding of data science principles, advanced analytics techniques, and machine learning engineering and be proficient in utilising a range of programming languages, tools and machine learning frameworks

You will be required to collaborate effectively with cross-functional teams - including internal & external stakeholders - to understand clients' data needs and translate them into effective technical solutions. They will lead on advanced data projects, and develop data science approaches that can be adopted across the team.

Your achievements will lead to recognition as a thought leader, actively contributing to the company's reputation and brand through your expertise and insights.

Key Responsibilities

Your tasks and responsibilities will include but are not limited to:

• Apply advanced statistical modeling and techniques to solve complex business challenges.
• Develop and implement advanced data solutions using machine learning (ML) and artificial intelligence (AI) to drive profitability and value for clients.
• Design and build machine learning pipelines and models, optimising their performance and efficiency
• Develop and maintain machine learning infrastructure.
• Track and document model lineage, model versioning and model transitioning.
• Independently design experiments, build algorithms, and apply machine learning tools to manage, interrogate, and extract value from large data sets for the benefit of media & digital marketing strategy
• Lead advanced data projects and develop data science approaches that can be adopted across the team.
• Demonstrate a willingness to learn and teach. Provide technical guidance and mentorship to junior data scientists, fostering their growth and ensuring the quality of their work.
• Collaborate effectively with cross-functional teams, including internal & external stakeholders, to understand clients' data needs and translate them into effective technical solutions.
• Proactively share information on the latest updates, new products, and evolving processes with the team.
• Demonstrate data knowledge and expertise through training materials and address clients' data challenges in senior-level discussions.
• Lead training sessions & workshops with clients on technical data topics within your expertise.
• Cultivate a strong relationship with clients and suppliers, which results in Incubeta being seen as a trusted partner and technical expert in the solutions offered.
• Deliver code and solutions that are well documented and understandable by other data scientists.
• Take responsibility for security in PII data, code management, and deployment.
• Proactively identify improvement opportunities for existing and new solutions across the business based on GP opportunity, customer feedback and industry needs.
• Improve on modeling techniques in our existing solutions and suggest new products through learning and development

KPI & Performance Management

• Achieve utilisation and GP targets.
• Achieve 100% success criteria within assigned tasks, or with justifiable rationale shared in advance where not achieved.
• Achieve 100% of deadlines within assigned tasks, or with justifiable rationale shared in advance where not achieved.
• Receive consistently positive client feedback in post-project reviews and post-training reviews.

Place within Organisation

The Senior Data Scientist reports directly to the EMEA Director of Data Science. This role is based in our Cape Town office and operates within the EMEA Marketing Intelligence team. You will be an integral part of a dynamic and collaborative team, working alongside marketing intelligence professionals across EMEA, including:

• Data Analysts
• Data Engineers
• Analytics Implementation Specialists
• Data & Analytics Consultants
• Technical Project Managers

You will also collaborate closely with:

• In-market teams in Cape Town, across various disciplines
• Commercial & client service teams across EMEA
• Operations personnel
• Other marketing intelligence resources globally

Qualifications and Skills

In order to successfully perform this role, you will need the following hard and soft skills:

Hard Skills

• 8+ years of experience in data science, with a focus on machine learning, artificial intelligence, and advanced analytics.
• Advanced expertise in data analysis, statistical modeling, and developing machine learning models for analysis and predictions
• Experience in designing and building machine learning pipelines and deploying ML models to production environments.
• An expert in programming languages SQL, Python, R
• Advanced experience with cloud platforms GCP (Essential), AWS, Azure (Advantageous) and cloud based ML services (e.g. Vertex AI).
• Demonstrable competency in propensity modelling, churn analysis, causal impact analysis, pLTV and MMM
• Familiarity with ML frameworks like TensorFlow, PyTorch, scikit-learn, and others
• Experience in pipeline orchestration tools such as Dataform, DBT and Apache Airflow
• Experience in developing and implementing advanced measurement solutions for digital marketing activation including MMM, Incrementality Testing, Causal impact Analysis & Attribution modelling
• Experience in customer and audience modelling solutions including propensity modelling, predictive lifetime value, churn analysis or similar
• Knowledge of industry trends and the ability to apply this knowledge to technical client solutions.
• Understanding of Analytics platforms & impact of data within - in particular Google Analytics 4
• Knowledge of Key Metrics and Dimensions for GMP Platforms (DV360, CM360, SA360), Google Ads and Facebook
• Knowledge of Digital Media Strategy
• Can confidently deal with breadth of enquiries around analytics & data
• Skilled in utilising Google Workspace for communication, presentations and reporting (e.g. Gmail, Google Slides, Google Docs, Google Sheets)
• Google Cloud Platform certified (Advantageous)
• ETL tooling experience (FiveTran, Supermetrics) (Advantageous)

Soft Skills

• Excellent communication and presentation skills
• Demonstrable expertise in strong client relationship management, and experience of building and managing key partner relationships
• Strong technical storyteller - able to turn complex technical concepts into simple and easy to understand concepts for both internal teams and clients
• Excellent problem-solving abilities
• Ability to work in a fast paced, dynamic, pro-learning environment on multiple priorities simultaneously
• Relentless enthusiasm and highly reliable
• Accountable, driven, and proactive in development and making progress
• Display a hunger for knowledge and a willingness to learn for any situation
• Ability to think and act independently as well as collaboratively
• Can establish influential relationships with both internal and external stakeholders
• Exceptional attention to detail and pride in any work produced
• Strong ability to prioritise and manage own time as well as assisting teams where needed
• Display honesty and integrity at all times
• Accountable for actions even when making mistakes
• Organised and detail oriented
• Be approachable and open to constructive feedback

Incubeta Company Values:

• Earn Trust: Focused on maintaining and increasing customer focus, works with the customer in mind earning trust along each step with clients and colleagues
• Help Others Succeed: Makes an active contribution to a joint result (organizational target) or to resolving problems or conflicts. Think in terms of possibilities. Is able to solve issues and problems in a timely and effective manner, working as a team.
• Dare to Lead: Is willing to improve individual performance and stimulate others to act accordingly. Setting the standard and example. Being solution driven.
• Exceed Expectations: Carries out tasks without help from others; takes command of problem situations and aims to achieve more than the basic requirements

Equal Opportunity Employer:

Incubeta is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Application Process:

If you feel you meet the criteria please kindly submit your resume, cover letter, and portfolio of relevant work. Applications will be reviewed on a rolling basis until the position is filled.Please take note that if you do not receive a response within 2 weeks of applying, you should consider your application as unsuccessful.

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This is a remote position.

Ringier Data Technology Department is looking for a Data Scientist to join our team.

Our team leverages the latest models to predict financial figures or the best price for an advertisement, create user-facing chatbots and much more applications. We’re also working with cutting-edge technologies, like LLMs, trying to create applications that will drastically increase the visibility of Ringier’s brands.

Role and Responsibilities

• You work with various datasets from different Ringier companies in different business divisions across publishing and marketplaces and in different regions across continents.
• You choose, improve, and apply various methods from statistics, machine, and deep learning technologies in order to solve business problems.
• You model the data of our users, their interests and online behaviour as well as the data of the different Ringier’s business units in order to serve the business demands, and enable the future business models.
• You work closely with cross-functional teams to develop prototypes and products for cross-portfolio use cases.
• You communicate and visualise the value of data by describing the findings or the way how techniques work to both technical and non-technical audiences.
• You keep closely following research and engineering developments mostly in the NLP field, like HuggingFace, LLMs roll in the relevant technologies and methodologies to keep our modern technology landscape up to date.

Requirements

• You have a degree (MS, Ph.D.) in computer science, statistics, mathematics or a comparable degree program or equivalent work experience.
• You have a strong record in applying Machine Learning to real-world datasets in a productive environment and are familiar with the main ML frameworks (TensorFlow, Torch, XGBoost, LightGBM, …) and have strong experience in Python.
• You have worked with LLMs and frameworks like Langchain. You know the best practices and keep following the field so that you use the latest ones.
• You have deep knowledge of the latest advances in the NLP domain.
• Experience with Palantir Foundry is a plus.
• Experience in software development and confidence in developing the full ML model lifecycle from research to production ensuring aspects such as reproducibility and scalability (git, dvc, Docker, Amazon Web Services) is a plus.
• You have full professional proficiency in English.
• You’re a team player and at the same time can be independent and take responsibility for your tasks. Structured way of working and creativity complete your profile.

Benefits

• We are fully remote! Work from anywhere in the world within a 3 hour SAST time zone.
• We have co-working spaces in Cape Town, Mauritius, Kenya & Nigeria.
• A cutting-edge development stack is waiting for your code contribution.
• You will be working with over 80+ highly skilled technical minds (and expanding).
• Backing of the international media powerhouse Ringier AG, which allows us to access world class development resources, shared knowledge and a wealth of international business insights.
• Our teams work with a wide range of tech stacks.
• We are committed to the future growth prospects of our employees by allowing autonomy, flexibility and an opportunity to master your respective skill.

Seniority level

Executive

Employment type

Full-time

Job function

Information Technology

Industries

IT Services and IT Consulting

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Lula City of Cape Town, Western Cape, South Africa

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Join to apply for the Senior Data Scientist - Credit role at Lula

Lula City of Cape Town, Western Cape, South Africa

2 days ago Be among the first 25 applicants

Join to apply for the Senior Data Scientist - Credit role at Lula

Job title: Senior Data Scientist - Credit

Reporting to: Head of Credit Data Science

Location: Cape Town, South Africa

ALL STAFF APPOINTMENTS WILL BE MADE WITH DUE CONSIDERATION OF THE COMPANY’S EE TARGETS

WHAT WE DO

Lula is an innovative and human-focused FinTech company on a mission to help small businesses optimise their cash flow. Our purpose is to help SMEs manage their businesses better, faster, and more simply, so they can spend more time doing what they love.

If you’re looking for a new place to call ‘home’ that believes in the potential of the broader SME landscape in South Africa and a place where you’ll work with awesome people - then Lula’s the place for you!

CULTURE CODE

• We Embrace Curiosity- We continuously seek better ways to deliver value with a solutions-over-problems mindset.
• We win as One - We collaborate, build strong relationships and value diverse perspectives
• We’re Driven by Purpose - We are passionate and committed to delivering the best products and services for SMEs
• We Execute with Ambition - We set ambitious goals, embrace challenges, and deliver with focus and determination.

OVERALL PURPOSE

The Lead Credit Strategy Analyst is responsible for the analytical execution of the definition of credit risk policies, credit risk strategies and credit risk optimisation. This role is the analytical lead defining Lula’s risk appetite, return hurdles, credit risk policies, affordability assessment, strategy design, test frameworks, offer terms and ultimately profit optimisation across the credit lifecycle.

The successful candidate will work closely with cross-functional teams, including the Credit Modelling Lead, Credit Underwriting, Portfolio Management, Collections, Business Development, Finance, and Data Engineering, to ensure that credit policies and strategies are optimised for both performance and compliance.

Responsibilities will include:

• Identifying expansion opportunities to grow the portfolio profitably / profit optimisation opportunities.
• Leading analytical projects to define credit policies, strategies, affordability assessments, offers (terms of business) and test frameworks across the credit lifecycle.
• Executing data driven profit optimisation decisions across the credit lifecycle.
• Working with the Data Science, Credit Underwriting, Collections and Portfolio Management teams to execute data-driven insights / strategies.
• Accountability for the implementation and performance of automated credit decisioning strategies (across multiple products, including Merchant Cash Advance and revolving credit for SMEs) in line with KPIs and Business Strategy.
• Continuously evaluating and developing data driven strategies to support funding decisions (credit risk, affordability, pricing, delinquency, and fraud detection).
• Providing input to enhance existing processes, identifying new opportunities within credit and collections teams.
• Staying updated with AI/ML trends and methodologies to identify emerging credit risks and opportunities.
• Working closely with Data Engineering to ensure required data for credit modelling, data driven strategy development and reporting is available.
• Collaborating with the Product team to prioritise and implement strategy changes.
• Leading and mentoring analysts within the Credit Data Science team, for assigned projects.

THE COMPETENCIES WE’RE AFTER

• Strategic thinker with the ability to align model development to business goals.
• Strong analytical leadership and team-building capabilities.
• Excellent communication skills, with the ability to present complex data insights to non-technical stakeholders.
• High attention to detail.
• Passion for innovation and staying ahead of emerging trends in data science and credit risk strategy design.
• A self-starter, able to take initiative and drive analytical projects from concept to implementation while ensuring usability across teams.

THE SKILLS AND EXPERIENCE WE’RE LOOKING FOR

• Bachelor’s or Master’s in Commerce, Data Science, Statistics, Mathematics, or a related quantitative field.
• 4+ years of experience in data science, credit risk strategy analytics, or related roles within financial services, ideally in lending or fintech.
• Proven experience leading credit risk strategy analytics projects to implementation in a data-driven environment.
• Proficiency in programming languages like Python, R, and SQL.
• Experience working with credit risk and decisioning platforms.
• Knowledge of cloud-based environments and large data systems (AWS, Azure, etc.).

Please note that all appointments are subject to our background checking process, which may include Credit, Criminal and any other job inherent checks .

Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Science, Analyst, and Finance
• Industries Banking, Financial Services, and Software Development

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