380 Scientific Research & Development jobs in South Africa

Nedbank Johannesburg, Gauteng, South Africa

Join to apply for the Principal Data Scientist role at Nedbank

Nedbank Johannesburg, Gauteng, South Africa

3 days ago Be among the first 25 applicants

Join to apply for the Principal Data Scientist role at Nedbank

Requisition Details & Talent Acquisition Consultant

Requisition Details & Talent Acquisition Consultant

REQ 139015 - Keabetswe Modise

Closing Date: 09 May 2025

Job Family

Information Technology

Career Stream

Application Development

Leadership Pipeline

Manage Self Professional

Job Purpose

Apply deep domain-specific expertise in machine learning, data mining, and information retrieval to architect and build highly specialized and advanced analytic engines and services, pushing the boundaries of knowledge in the field and providing expert guidance to the enterprise.

Job Responsibilities

• Specialised in the development of best-in-class statistical models and algorithms, leveraging years of experience and expertise.
• Conduct advanced statistical analysis to uncover deep insights and patterns in complex datasets.
• Provide actionable insights and strategic advice to stakeholders, drawing from an extensive background in the field of AI/ML.
• Create significant value by harnessing the potential of enterprise-wide data and translating it into valuable business solutions.
• Apply comprehensive financial services domain knowledge to analyse datasets and develop statistical models and algorithms that cater to specific financial services use cases.
• Spearheaded the integration of AI/ML solutions into existing banking systems, optimizing processes, and driving operational efficiency while adhering to industry standards.
• Experienced in deploying or contributed to deployment of multiple end to end data science solutions that has yielded significant value in the organisation at an enterprise level.
• Implement cutting-edge AI and ML solutions, establishing robust system operations and maintenance structures under the purview of senior leadership.
• Play a key role in shaping the organization's AI/ML strategy, aligning it with current and future needs.
• Lead the transformation of data science prototypes into scalable machine learning solutions ready for production deployment.
• Design dynamic ML models and systems that possess the capability to adapt and retrain as necessary, guided by years of hands-on experience.
• Periodically assess the performance of ML systems, ensuring alignment with corporate and IT strategies.
• Demonstrate an end-to-end understanding of applications and machine learning algorithms, showcasing expertise at every step.
• Pioneering the use of machine learning algorithms and libraries, setting the standard for the enterprise.
• Oversee the software engineering and design aspects of projects, providing comprehensive end-to-end solutions.
• Extensive expertise in programming toolsets (such as Python, R, etc) for data preprocessing, advanced statistical analysis, machine learning, and developing complex data pipelines is required
• Produce end-to-end designs encompassing infrastructure, security, networks, and more, collaborating with other engineering leads to ensure a comprehensive data science solution.
• Effectively communicate complex processes to non-programming experts, utilizing years of experience to simplify understanding.
• Continuously research and implement best practices to enhance existing machine learning solutions, utilizing extensive domain knowledge.
  
  

• Design customized analytics approaches for diverse problem types, capitalizing on years of experience to drive innovation.
• Utilize a deep understanding of computer science fundamentals, including data structures, algorithms, computability, complexity, and computer architecture.
• Proven track record of successfully applying big data frameworks, such as Apache Spark, to solve complex business challenges.
• Stay at the forefront of the latest tools and techniques, keeping knowledge up-to-date through continuous learning.
• Evaluate variations in data distribution that impact model performance, leveraging seasoned judgment.
• Apply advanced analytical techniques, such as machine learning (ML) and artificial intelligence (AI), to derive substantial business value.
• Extensive expertise in cloud computing and a proven track record of successfully deploying large-scale data science solutions on cloud platforms, demonstrating the ability to architect and optimize cloud-based data pipelines and machine learning models
• Collaborate with industry leaders, conduct experiments, and research best practices to provide thought leadership in the field.
• Develop and prioritize ML roadmaps, drawing from a wealth of experience to chart the course for success.
• Foster personal growth and optimize performance by mentoring and sharing knowledge with team members and stakeholders during formal and informal interactions.
• Embrace agile thinking to identify opportunities for improving business processes, models, and systems, leveraging extensive expertise to make informed decisions.
• Support the achievement of the business strategy, objectives, and values, playing a pivotal role in driving the organization's success.
• Contribute to the establishment of the Nedbank culture and participate in corporate responsibility initiatives to align with business strategy.
  
  

• Advanced Machine Learning and AI Expertise: Demonstrated ability to develop, implement, and optimize complex machine learning models and AI algorithms.
• Strong Programming Skills: Proficiency in multiple programming languages such as Python, R, and SQL, with a deep understanding of data structures and algorithms.
• Experience with Big Data Technologies: Hands-on experience with big data tools Spark, or similar.
• Experience with Model Deployment: Proven experience in deploying machine learning models into production environments using tools like Docker, Kubernetes, or cloud services (AWS, Azure, GCP).
• Proficiency in MLOps: Knowledge of MLOps practices to streamline the deployment, monitoring, and maintenance of machine learning models.
  
  

• Matric / Grade 12 / National Senior Certificate
• Advanced Diplomas/National 1st Degrees
  
  

• A Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related field.
• Certifications in Machine Learning, Data Analytics, or Big data Technologies are highly desirable.
  
  

• MS/PhD in STEM or related technical discipline
• At least 10+ combined experience in data science or ML engineering role
• Expert knowledge of machine learning, statistics, optimization, ML Engineering or related field
• Experience with R, Python, Matlab is required, programming in C, C++, Java
• Experience working with large data sets, simulation/ optimization, and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, Gurobi, Arena, etc.)
• Excellent written and verbal communication skills along with strong desire to work in cross functional teams
• Attitude to thrive in a fun, fast-paced start-up like environment
  
  

• Data Mining
• Data Tools
• Data analysis
• Statistical Analysis
• data/ data structures
• Presentation Skills
• Problem solving skills
• Research and analytics
• Supervised Learning
• Big Data Technologies
• Strategic Thinking
• Unsupervised Learning
• NLP
• Deep Learning
• Re-inforcement Learning
• Feature Engineering/Selection
• programming
• Model Deployment/Monitoring
• Model Scaling
• Data Integration/Pipelines
• Data Modelling
• Data Visualisation
• Domain Knowledge
• Innovation at Enterprise Level
• AI Ethics and Fairness
• HyperParameter Tuning
  
  

• Influencing
• Coaching
• Facilitating Change
• Global Perspective
• Innovation
• Quality Orientation
• Customer Focus
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering and Information Technology

Referrals increase your chances of interviewing at Nedbank by 2x

Johannesburg, Gauteng, South Africa 3 days ago

Johannesburg, Gauteng, South Africa 5 days ago

Johannesburg, Gauteng, South Africa 4 days ago

Sandton, Gauteng, South Africa 3 weeks ago

Johannesburg Metropolitan Area 1 week ago

City of Johannesburg, Gauteng, South Africa 5 days ago

Johannesburg, Gauteng, South Africa 3 days ago

City of Johannesburg, Gauteng, South Africa 4 days ago

Johannesburg, Gauteng, South Africa 4 days ago

Johannesburg, Gauteng, South Africa 5 days ago

Johannesburg, Gauteng, South Africa 4 days ago

Johannesburg, Gauteng, South Africa 2 months ago

Johannesburg, Gauteng, South Africa 1 week ago

City of Johannesburg, Gauteng, South Africa 3 weeks ago

Johannesburg Metropolitan Area 2 days ago

Johannesburg, Gauteng, South Africa 1 month ago

Johannesburg, Gauteng, South Africa 2 days ago

Johannesburg, Gauteng, South Africa 4 hours ago

Johannesburg, Gauteng, South Africa 3 days ago

Johannesburg Metropolitan Area 5 hours ago

Midrand, Gauteng, South Africa 5 hours ago

Johannesburg, Gauteng, South Africa 6 days ago

Johannesburg, Gauteng, South Africa 1 week ago

Johannesburg, Gauteng, South Africa 1 week ago

Johannesburg, Gauteng, South Africa 2 months ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

LSEG Cape Town, Western Cape, South Africa

Join to apply for the Lead Research Analyst role at LSEG

LSEG Cape Town, Western Cape, South Africa

2 days ago Be among the first 25 applicants

Join to apply for the Lead Research Analyst role at LSEG

Get AI-powered advice on this job and more exclusive features.

We are seeking a Lead Research Analysts to join our International Sanctions Team, who are dedicated to the coverage of international sanctions and regulatory bodies.

Responsibilities:

• Monitoring of international sanctioning bodies worldwide.
• Addition of sanctions notices in our database (as soon as published by authorities and with outstanding attention to details and quality of the work).
• Conduct investigative research.
• Ensure accuracy of findings by staying in sync with guidelines, policies, and applicable laws.
• Ability to work independently, providing regular status updates on research projects to manager.
• Ability to successfully collaborate with teams across offices in multiple time zones, in a multicultural and multilingual environment.
• Must have availability and willingness to work overtime, if required due Sanctions publications.
  
  

• Must possess attention to details structured and methodical approach to work.
• Must have the ability to follow many guidelines and instructions successfully.
• Must have skills to perform high-quality in-depth research.
• Must be results oriented and proactive in finding topics, sources, trends, etc.
• Must be willing to collaborate with the team.
• Must be inventive, willing to look for innovative solutions and tools.
• Must have ability to prioritize effectively in a fast-paced environment.
• Must nurture a growth mindset.
  
  

• Proficiency in Microsoft Office (Word, Excel, PowerPoint) (sophisticated level).
• Previous experience in research and proficiency in research tools (e.g. search engines).
  
  

• Knowledge of Anti Money Laundering (AML) and Know Your Costumer (KYC)is an advantage.
• Previous work experience related to Sanctions (OFAC, UN, EU) and/or risk topics (terrorism, narcotics trafficking, etc.).
• Previous experience as speaker (e.g. training, guiding, as speaker, etc.).
• Previous experience working with databases and information.
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Research, Analyst, and Information Technology
• Industries IT Services and IT Consulting and Financial Services

Referrals increase your chances of interviewing at LSEG by 2x

Get notified about new Research Analyst jobs in Cape Town, Western Cape, South Africa .

Cape Town, Western Cape, South Africa 3 weeks ago

City of Cape Town, Western Cape, South Africa 3 hours ago

Cape Town, Western Cape, South Africa 2 months ago

Cape Town, Western Cape, South Africa ZAR21,000.00-ZAR21,000.00 3 days ago

Cape Town, Western Cape, South Africa 2 months ago

Cape Town, Western Cape, South Africa 2 weeks ago

Cape Town, Western Cape, South Africa 1 month ago

Cape Town, Western Cape, South Africa 1 year ago

Cape Town, Western Cape, South Africa 6 hours ago

Cape Town, Western Cape, South Africa 2 months ago

Cape Town, Western Cape, South Africa 20 hours ago

Stellenbosch, Western Cape, South Africa 1 day ago

Cape Town, Western Cape, South Africa 4 days ago

City of Cape Town, Western Cape, South Africa 6 days ago

Cape Town, Western Cape, South Africa 3 weeks ago

City of Cape Town, Western Cape, South Africa 3 hours ago

Cape Town, Western Cape, South Africa 23 hours ago

Cape Town, Western Cape, South Africa 4 days ago

Cape Town, Western Cape, South Africa 5 months ago

City of Cape Town, Western Cape, South Africa 5 days ago

City of Cape Town, Western Cape, South Africa 1 month ago

Cape Town, Western Cape, South Africa 2 weeks ago

Cape Town, Western Cape, South Africa 3 days ago

City of Cape Town, Western Cape, South Africa 3 weeks ago

City of Cape Town, Western Cape, South Africa 1 hour ago

Cape Town, Western Cape, South Africa 1 week ago

Cape Town, Western Cape, South Africa 3 days ago

Cape Town, Western Cape, South Africa 2 weeks ago

Cape Town, Western Cape, South Africa 1 week ago

Cape Town, Western Cape, South Africa 2 hours ago

Cape Town, Western Cape, South Africa $600.00-$800.00 2 months ago

City of Cape Town, Western Cape, South Africa 6 days ago

Cape Town, Western Cape, South Africa 2 weeks ago

Pinelands, Western Cape, South Africa 3 days ago

Pinelands, Western Cape, South Africa 3 days ago

Cape Town, Western Cape, South Africa 2 weeks ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Company :UK Clients working through The South Africa Software Development Hub Ltd.

Department: Data & Analytics

Reports To: (Head of Data Science / Director of Analytics / CTO)

About Us: SASDH supports UK and European businesses in the resourcing of remote projects. Our customers are forward-thinking and innovative companies committed to harnessing the power of data to drive strategic decisions and innovation. We are seeking an experienced Senior Data Scientist to join our customer’s team and lead their data analysis efforts

About the Role

We are seeking a highly motivated and analytical Data Scientist to join our customers growing team. In this role, you will leverage data to drive strategic decision-making, build predictive models, and uncover actionable insights that support business goals. You’ll work closely with cross-functional teams including engineering, product, and marketing to solve complex problems using data.

Key Responsibilities

• Collect, clean, and analyse large datasets from various sources.
• Develop and deploy machine learning models and statistical algorithms.
• Communicate findings through data visualizations, dashboards, and reports.
• Collaborate with stakeholders to identify opportunities for leveraging data.
• Design and implement A/B tests and other experiments.
• Monitor model performance and retrain as necessary.
• Stay current with the latest data science trends, tools, and best practices.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field.
• 2+ years of experience in a data science or analytics role.
• Proficiency in Python or R, and SQL.
• Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong knowledge of statistics and data modelling techniques.
• Excellent communication and data storytelling skills.

Preferred Qualifications

• Experience with cloud platforms (AWS, GCP, or Azure).
• Familiarity with big data tools (Spark, Hadoop).
• Knowledge of data visualization tools (Tableau, Power BI, or similar).

What We Offer

• Flexible work hours and remote work options.
• Opportunities for professional growth and development.
• A collaborative and inclusive team culture.

How to Apply: If you are a skilled Senior Data Scientist with a passion for cloud technologies and a desire to make an impact, we encourage you to apply. Please submit your resume and a cover letter detailing your relevant experience by clicking on the apply button

Listing reference: atns_000556

Listing status: Under Review

Apply by: 4 February 2025

Job category: Research and Development

Location: Bedfordview

Contract: Permanent

Remuneration: Market Related

EE position: No

Applications are invited for the position of Head of Research, Development & Innovation (RDI) (Peromnes Grade 5) based at Head Office, Bruma. The successful applicant will be reporting to the Chief Strategy OfficerTo advance the strategic business objectives of the company through diligent and focused research and innovation to support the long-term financial sustainability of the organisation. To establish an in-depth understanding and analysis of the macro air traffic control and navigation environment and ATNS strategic objectives to inform the research agenda and identify innovation opportunities. To lead and direct the establishment of an effective Research, Development and Innovation function for ATNS able to effectively support the company’s vision and mission of becoming the leading provider of safe and efficient Air Traffic Management solutions in Africa. To support the creation of an adaptive and innovative enterprise through the active promotion of digitalisation, technological innovation, diversification, and commercialisation of products and services. To drive the deployment of relevant and innovative technology that will meet the expectations of customers and the Air Traffic Management (ATM) community. To drive the development of an innovative product portfolio and commercialisation in support of future air traffic management concepts and systems with the lowest possible risk to the company

Strategy and Implementation - Establish and manage a strategic research and innovation agenda and framework within SRD&I aligned to business strategy which enables RD&I to seek opportunities for improvement and innovation in every area. Provide strategic leadership and guidance to the Research, Development & Innovation function to enable the successful achievement of required business objectives and deliverables. Provide input into the ATNS strategy based on research findings. Develop, implement and articulate the RD&I strategy and value proposition to the organization. Drive delivery of the required RD&I research and innovation project portfolio and initiatives within the agreed time, budget and standard/quality requirements. Analyze trends and metrics in partnership with the Chief SRD&I that will inform the development of current and future required solutions, programs, and policies aligned to business priorities

Manage the Research, Development & Innovation Agenda - Establish an in-depth understanding and analysis of the macro air traffic control and navigation environment and ATNS strategic objectives to inform the research agenda and identify innovation opportunities. Focus research, development and innovation on Air Traffic Management solutions and associated services that meet the needs and expectations of the ATM community and that will support the long-term financial sustainability of ATNS. Develop a research agenda that actively supports the company’s strategic objectives and business priorities. Provide plans and guidelines on the establishment of long-term ATM/cns systems to ensure system capacity that is aligned to stakeholder requirements. Prepare plans, processes, procedures and safety cases for introducing new technologies into the operations environment.

Operationalization of RD&I - Conduct or commission strategic market, industry and technology research. Develop and coordinate a roadmap for ATNS of the future in collaboration/partnership with all internal stakeholders. Manage and administer the end-to-end innovation management process from idea management to business case review. Provide RD&I thought leadership to the organization aligned to the vision and overall business strategies, and provide recommendations and advice on the research, development and innovation agenda. Develop and implement the RD&I operating model based on end-user requirements, benchmarking and strategic objectives. Conduct research and statistical analysis to identify opportunities for improving efficiency across the function. Benchmark service delivery of RD&I against global best practices. Provide specialist advice with regards to RD&I issues in the organization. Maintain, promote and continuously improve RD&I efficiency and related processes.

Governance, Risk, Compliance & Reporting - Manage and implement a robust governance framework for the RD&I function. Continuously monitor and measure compliance with all ATNS policies and procedures and relevant legislation. Manage the function’s performance against strategy and set targets and corporate objectives. Lead overall risk assessment of RD&I projects and issue management and develop and implement effective mitigation plans and actions. Develop product level risk analyses as appropriate. Ensure compliance with relevant legislation, policy and standards. Consolidate input from all relevant parties to prepare strategic level reports for the Chief SRD&I and other relevant stakeholders. Prepare formal and ad hoc reports as required

Stakeholder Relations Management - Build, maintain and nurture mutually beneficial relationships with relevant stakeholders. Develop, manage and maintain sound relationships with key stakeholders. Build and maintain effective collaborative relationships with all relevant business functions and teams within ATNS to enable alignment and optimal service delivery

Financial Management - Manage expenditure in line with business priorities and objectives, and within approved financial parameters. Develop and manage the RD&I budget in line with strategic business objectives and the ATNS mandate. Ensure compliance to company financial policies and procedures. Report on all costs incurred against the approved budget as well as any possible deviations thereto

People Management - Manage staff in accordance with HC policies, processes and practices. Ensure that new employees have been properly on-boarded prior to commencing work. Monitor the time and attendance of subordinates, take appropriate action in the case of absenteeism, and report issues to management and Human Capital. Ensure the availability of skilled and competent staff in the strategy function to meet the current and future needs aligned to the departmental and overall business strategies. Ensure that staff is managed in accordance with HC policies, processes and practices. Promote high levels of discipline and performance standards to achieve the ATNS strategies.

Interested applicants are requested to register their CV’s and apply on by no later than 4 February 2025.

If you have not been contacted within 3 weeks of the closing date of this advert, please accept that your application was unsuccessful.

ATNS is an equal opportunity employer that strives to achieve a diverse workforce broadly representative of our people. This position will be filled in line with the objectives of ATNS’ Employment Equity Plan and therefore candidates from designated groups as per the Employment Equity Act of 1998, are encouraged to apply. People with disabilities are encouraged to apply.

· Post graduate tertiary qualifications in Science, Business Management, Engineering or any relevant field

· Leadership Development qualification is advantageous

· Seasoned professional is required with a minimum of 8 years of experience in conducting and managing research, development and innovation in a technological environment, preferably air traffic services/ air traffic management, of which at least 5 years must be at a managerial level

· Must have done research and published

By clicking on the above you are agreeing to this site's Terms of Use .
Read our full Data Protection Policy here .

To ensure safe access to your data, your password needs to meet the below minimum requirements:

• Minimum of 6 characters long
• Minimum of 1 numeric character (0 - 9)
• Minimum of 1 lowercase character (a - z)
• Minimum of 1 uppercase character (A - Z)
• Minimum of 1 special character, for example @?#$%.

CV file *

We will parse your CV to make creating a profile as easy as possible

At AKQA, we imaginatively apply art and science to create transformative experiences, accelerate growth, and future-proof organisations. AKQA designs every touchpoint along the customer journey with unmatched native ability to define, find, connect, and inspire audiences across all brand interactions.

We believe in the power of data to drive decisions, creativity, and business transformation. As a Data Scientist, you’ll play a key role in turning data into strategic advantage—working with some of the world’s most ambitious brands and surrounded by a multi-disciplinary team that values rigour, curiosity, and innovation.

AKQA is seeking a business-oriented and technically adept Senior Data Scientist to lead and deliver advanced analytical solutions that uncover insights, predict performance, and inform strategy. This role bridges analytical depth with commercial impact, working closely with internal stakeholders and client teams to shape decision-making and deliver measurable results.

You will design and implement data science solutions across various projects, spanning customer segmentation, predictive modelling, performance optimization, and experimentation frameworks. You will also collaborate with data engineers, strategists, creatives, and technologists to shape data-informed marketing, product, and business strategies.

ROLE REQUIREMENTS

• Lead the end-to-end development of data science projects—from framing business problems to deploying solutions and interpreting results.


• Translate complex datasets into actionable insights through statistical analysis, machine learning, and visual storytelling.


• Build models and frameworks for forecasting, customer lifetime value, churn prediction, audience segmentation, recommendation engines, and conversion uplift.


• Partner with internal and client teams to shape learning agendas, A/B and multivariate testing frameworks, and optimization strategies.


• Deliver presentations and written documentation that communicate technical outcomes to non-technical stakeholders.


• Design KPI frameworks and create self-serve dashboards and reporting tools using platforms like Tableau or Google Looker Studio.


• Support automation and scaling of analytics workflows in collaboration with data engineers and developers.


• Advise on data collection strategies and infrastructure, ensuring robust pipelines and trustworthy analytics.


• Contribute to AKQA’s thought leadership and internal capability-building in analytics and data science.
  
  

QUALIFICATIONS AND CHARACTERISTICS

• Hands-on experience in data science, analytics, or a related quantitative field.


• Proficiency in Python or R for data analysis and modelling.


• Strong SQL skills and experience with querying relational databases.


• Solid understanding of machine learning techniques, model development, and statistical inference.


• Experience applying data science to business contexts such as marketing performance, e-commerce, media mix modelling, CRM, or customer experience.


• Fluency with data visualization tools (e.g. Tableau, Power BI, Google Data Studio).


• Experience working with cloud platforms (GCP, AWS, or Azure) is a plus.


• Comfort working with structured and unstructured data from varied sources (e.g. CRM systems, media platforms, web analytics tools, transactional databases).


• Excellent communication and stakeholder management skills, with the ability to translate data outputs into commercial impact.


• Experience with A/B testing platforms and methodologies (e.g. Optimizely, Google Optimize, custom frameworks).


• Familiarity with data engineering concepts (ETL, Airflow, BigQuery, Snowflake) is advantageous.


• Prior experience in a consultancy or agency environment is desirable.
  
  

Explore our extensive range of benefitshere.

We believe great work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach including required in-office days. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.

AKQA is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

Position Overview: We are seeking a Senior Data Scientist with a proven track record of success and a minimum of 5 years of experience in the field. The Senior Data Scientist will play a critical role in leading advanced analytics projects, developing cutting-edge machine learning models, and providing strategic guidance to drive business growth and innovation. This is an exciting opportunity for a seasoned data scientist to take on a leadership role and make a significant impact in a fast-paced and collaborative environment.

Key Responsibilities:

• Lead end-to-end data science projects, from problem formulation and data collection to model development, implementation, and evaluation.
• Apply advanced statistical techniques and machine learning algorithms to analyze large and complex datasets and extract actionable insights.
• Mentor and provide guidance to junior members of the data science team, fostering a culture of continuous learning and professional development.
• Collaborate with cross-functional teams to understand business objectives and translate them into data-driven solutions and actionable recommendations.
• Develop and maintain scalable and efficient data pipelines and infrastructure to support ongoing analytics and machine learning initiatives.
• Stay abreast of the latest advancements in data science, machine learning, and related fields, and evaluate emerging technologies for potential application in our projects.

Requirements:

• Bachelor's degree or higher in Computer Science, Statistics, Mathematics, or a related field.
• Minimum of 5 years of professional experience in data science or a related field, with a proven track record of leading successful data science projects.
• Expertise in machine learning techniques, statistical analysis, and predictive modeling, with proficiency in programming languages such as Python, R, or Java.
• Experience with advanced machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn) and cloud platforms (e.g., AWS, Azure, Google Cloud Platform).
• Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights and recommendations.
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and present technical concepts to non-technical stakeholders.
• Demonstrated leadership abilities, with experience mentoring junior team members and providing technical guidance and direction.

Join our team and be part of a dynamic and innovative company where your expertise and leadership in data science will drive impactful solutions and shape the future of our organization. Apply now to take the next step in your career as a Senior Data Scientist!

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:

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!

We’re making business banking fast, human, Lula!

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 .

Are you ready to engineer the data foundations of tomorrow and help drive a truly data-led organisation?

A dynamic and forward-thinking financial institution is seeking an experienced Data Engineer to play a pivotal role in transforming raw data into actionable insights. This is an exciting opportunity to join a high-performing data team and support mission-critical analytics, machine learning, and business intelligence initiatives.

1. Build and maintain secure, scalable, and high-performance data infrastructure across on-premise and cloud platforms (Azure, SAS, Hadoop, Ab Initio, Databricks, and more).
2. Design and develop data pipelines for ingestion, transformation, provisioning, streaming, and API integrations.
3. Ensure clean, consistent, and governed data flows into data lakes, data warehouses, and enterprise data marts.
4. Collaborate with cross-functional teams including data scientists, analysts, engineers, and modelers to deliver robust and usable data products.
5. Drive automation, monitoring, and performance tuning of pipelines and large-scale data systems.
6. Champion data quality, governance, and security in alignment with strategic data architecture goals.

1. A minimum of 6 years of experience in data engineering or a related field.
2. Proven ability to work independently and deliver end-to-end data solutions.
3. Proficiency in SQL, Python, Java, or other relevant programming languages.
4. Hands-on experience with cloud platforms (Azure, AWS, GCP) and big data tools (Hadoop, Spark, Kafka).
5. Deep understanding of relational and NoSQL databases, data modeling, and API development.
6. Relevant qualifications in Computer Science, Engineering, or similar fields. Cloud, DevOps, or Data Engineering certifications are highly desirable.

EE Disclaimer: All positions will be filled in accordance with the company's Employment Equity plan. We encourage people with disabilities to apply.

Application Unsuccessful Disclaimer: If you do not receive feedback within two weeks of your application, please consider it unsuccessful. Keep an eye on our website and other career sites for future opportunities.

Required Experience: Unclear Seniority

Key Skills: GIS, Computer Data Entry, Facilities Management, ADMA, Fleet, Key Account

Employment Type: Full-Time

Experience: years

Vacancy: 1