331 Scientific Research & Development jobs in South Africa

Summary

We're looking for a talented Data Scientist II to join our FNB Connect Pricing and Portfolio team to shape the future of SIM pricing and telecommunications within Banking!

The role focuses on enhancing SIM pricing strategies, enabling the value of connectivity, optimizing SIM propositions, and driving deeper integration with banking services to deliver holistic customer value.

Are you someone who :

• Demonstrates strong analytical skills and applies mathematical and statistical concepts to business contexts, especially in pricing.
• Possesses knowledge or experience in quantitative analysis, financial modeling, or analytics.
• Has understanding of Income Statement elements (advantageous but not required).
• Has experience with data preparation such as collection, cleaning, and manipulation.
• Is a self-starter with problem-solving abilities.
• Can manage analytical projects from problem identification to implementation.
• Enjoys stakeholder management and can communicate complex concepts to non-technical stakeholders.
• Plans, builds, optimizes, and implements innovative quantitative methodologies and models to support business strategies.
• Participates in building statistical models and data analysis to inform decisions.
• Contributes to innovation by finding faster and more accurate work methods.
• Values teamwork and inclusivity.
• Reports on transactional and process activities to support decision-making.
• Has intermediate to advanced coding skills in SQL & SAS.
• Is proficient with Microsoft Word, Excel, and PowerPoint.

What you can expect from the role

• Ownership of the MVNO (SIM) Portfolio.
• Financial modeling and analysis within pricing (revenue, margins, profits, utilization, optimization).
• Applying statistics and analytics in telecommunications.
• Forecasting and optimization.
• Establishing and following pricing frameworks and principles.
• Supporting new product development and business casing.
• Portfolio management.
• Providing insights and analysis to guide business decisions.

Ideal candidate criteria:

• Minimum qualification: B Degree in Mathematical Sciences, Statistics, or Actuarial Science.
• Preferred qualification: Honours Degree in the same fields.
• Minimum 3 years of relevant data science or quantitative analysis experience.
• Strong analytical skills with a desire to apply statistical and mathematical techniques.
• Experience with data preparation, model building, and analysis.
• Intermediate to advanced SAS and Excel skills.

What you will have access to:

• Engagement with various teams across the

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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1 month ago Be among the first 25 applicants

This range is provided by Quanticate. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

As a Senior Statistician you will be managing projects, providing high quality statistical support to clients and leading statisticians in the team. This could be direct line management or from a mentoring position.

We are looking for technical candidates with a passion for statistics. You will have a key role in the company both for now and the future.

You will be working with a global team of experts to provide bespoke quality data to clients and bring new medicines to those who need it. You will have the opportunity to interact with international colleagues on a daily basis and be a part of an award-winning company that offers flexible and friendly working conditions, industry leading benefits and great opportunities for career development.

This is a fully remote position.

Key Responsibilities:

• Provide statistical consulting to clients across various therapeutic areas and phases of development.
• Develop statistical analysis plans and perform statistical analysis of clinical trial data.
• Interpret statistical analysis results and collaborate with cross-functional teams to ensure study objectives are met.
• Provide input into study protocols, CRFs, and statistical analysis plans.
• Perform quality control of statistical deliverables and ensure compliance with regulatory standards and guidelines.
• Conduct simulation or modelling studies to support decision making.
• Mentor junior team members and provide training on statistical methods.
  
  

Requirements

• M.S degree in statistics or related fields.
• Experience of statistical analysis in a pharmaceutical or CRO environment.
• Strong knowledge of statistical principals and clinical trial methodology.
• Experience with SAS programming and statistical software such as R or Python.
• Excellent communication and interpersonal skills.
• Ability to work effectively in a global, cross-functional team.
  
  

Benefits

• Competitive Salary (Open to discussion based on experience)
• Home working allowance
• Flexible working hours
• 25 days Annual leave plus

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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Full-time permanent post, commencing January 2026

United Herzlia Schools is a highly successful, independent, community Jewish Day School in Cape Town.

We seek a well-qualified, experienced, highly motivated candidate to lead a dynamic and professional department.

Responsibilities:

• Provide academic leadership and strategic direction to the Life Sciences Department.
• Oversee teaching, learning and assessment in line with curriculum.
• Teaching of allocated classes (Grades 7 – 12)
• Subject related administration.
• Enhance the curriculum by offering a broader extra-curricular programme (e.g expos, camps, outings).
• A teaching qualification with specialisation in Life Sciences.
• SACE registration.
• Have experience teaching Life Sciences up to Grade 12.
• Proven leadership experience in a High School
• Be a dedicated, inspirational and innovative educator who is passionate about Life Sciences
• A high level of organisational, managerial and administrative skills
• Be able to work in an environment calling for differentiated teaching including teaching pupils on an educational support programme.
• Be able to work with pupils in a nurturing way, in order to develop each one holistically.
• Be required to participate in the school’s extra mural programme.
• Be able to incorporate technology into their teaching practice.

Please note that only short-listed candidates will be contacted.

The submission of a CV will not automatically result in an interview. United Herzlia Schools reserves the right not to appoint anyone to this position. Herzlia is committed to safeguarding and promoting the welfare of children; applicants must be willing to undergo screening appropriate to the post, including checks with past employers.

United Herzlia Schools, in line with POPIA (Protection of Personal Information Act) will attempt to ensure the confidentiality of all applicants for this role. All reasonable measures will be in place to protect personal information but this will be used in the recruitment, selection, and reporting process. By submitting your application for this position, you are recognising and accepting this disclaimer.

Closing Date

03/09/2025

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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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Introduction

This position will be based at Head Office in Woodmead.

Description

The Senior Data Scientist will lead a dynamic team comprising data scientists, process engineers, and operational success engineers. The role will focus on driving the scoping, development, deployment, and adoption of various data solutions, machine learning (ML) models, and data-driven systems across mineral processing operational sites. This role will be instrumental in ensuring that data solutions and ML models are fit-for-purpose, scalable, and fully aligned with the operational challenges and goals of the business This is a strategic role that will play a critical part in improving operational efficiency through advanced data solutions and technologies. The successful candidate will collaborate closely with site operations, software development teams, and other senior leadership to ensure seamless integration and effective utilization of data-driven systems.

Duties and Responsibilities

• Lead and mentor a multidisciplinary team of data scientists, process engineers, and operational success engineers.
• Oversee the scoping, development, and deployment of machine learning models, data solutions, and analytical tools across various mineral processing sites.
• Collaborate closely with site operations teams to identify key business challenges and opportunities for data-driven solutions.
• Ensure the successful integration of ML models and systems into operational workflows, driving adoption and demonstrating value through measurable improvements.
• Provide technical oversight on the design, implementation, and maintenance of data pipelines and scalable data systems to support the organization’s digital transformation goals.
• Ensure continuous collaboration with other technical leads, including software development and systems integration, to ensure the smooth implementation of data solutions.
• Act as the main point of contact for internal and external stakeholders on all matters related to data science and machine learning.
• Stay up-to-date with advancements in data science, machine learning, and industrial applications, continuously recommending new tools, technologies, and methodologies.
• Provide strategic input to the broader technology and business strategy, ensuring that data science initiatives are aligned with business objectives.
• Monitor and evaluate the performance of data models and solutions, refining them as needed to ensure their effectiveness and accuracy over time.
• Drive a culture of innovation and continuous improvement within the data science team and the wider organization.

Experience and SkillsRequirements

• 5+ years of experience in data science, with a minimum of 2 years in a senior or leadership role.
• Proven track record in developing and deploying machine learning models and data solutions in an industrial or production environment, preferably in mining or mineral processing.
• Strong expertise in programming languages such as Python or R, as well as proficiency with SQL.
• Experience in managing multidisciplinary teams, including data scientists, engineers, and analysts.
• Deep understanding of the full lifecycle of machine learning models, from data collection and feature engineering to model deployment and monitoring in production environments.
• Strong knowledge of industrial processes and their intersection with data science in driving operational improvements.
• Familiarity with databases, data pipelines, and ETL processes, as well as experience with data visualization and business intelligence tools (e.g., PowerBI, Tableau).
• Experience in project management, including scoping, resource allocation, and timelines for successful execution of data science projects.
• Strong interpersonal and communication skills, with the ability to translate complex technical concepts to non-technical stakeholders.
• Proficiency in report writing andclientpresentations using MS Office Word, Excel, PowerPoint, MS Projects.
• Medically fit and be able pass medical examinations at mining sites.
• Fluent in English(Read, write, and speak)

Qualification Requirements

• Matric (Grade 12) or an equivalent qualification registered at NQF Level 4
• Bachelor’s Degree in Data Science, Engineering, Computer Science, or a related field.
• Postgraduate qualifications (MSc or PhD) in Data Science, Machine Learning, or a similar field will be advantageous.
• Experience in mineral processing and metallurgy will be advantageous.
• Professional certifications in data science, machine learning, or related technologies are desirable.

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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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