304 Data Scientist jobs in South Africa

• Collect, extract, and compile data from multiple sources, ensuring accuracy and completeness.
• Clean and transform raw data into structured datasets for analysis.
• Identify and resolve data quality issues, inconsistencies, and anomalies.
• Work with SQL, Python, and BigQuery, while staying up to date with new trends and tools in data analytics.
  
  

• Perform exploratory and statistical analysis to identify patterns, trends, and relationships.
• Use data visualization techniques to interpret and present findings clearly.
• Analyse large datasets to deliver actionable insights and recommendations.
• Support scorecard development, maintenance, testing, and reporting.
• Provide input into credit policy proposals and client limit management through data-driven analysis.
  
  

• Collaborate with stakeholders to understand business requirements and translate them into analytical solutions.
• Provide analytical support for initiatives such as market analysis, customer segmentation, and performance tracking.
• Identify opportunities to improve processes, drive efficiencies, and optimize revenue.
  
  

• Keep up with best practices, emerging technologies, and industry trends in data science and analytics.
• Expand expertise in statistical analysis, data modeling, and visualization tools.
• Actively participate in professional development through training, workshops, and knowledge sharing.
  
  

• Bachelor’s or Master’s degree in Mathematics, Statistics, Computer Science, Data Analytics/Science, or a related field.
• 3+ years’ proven experience as a Data Scientist or in a similar role, ideally within credit or financial services.
• Proficiency in GCP (Google Cloud Platform), BigQuery, SQL, Python, R, and data visualization tools such as Google Looker.
• Strong analytical and problem-solving skills, with the ability to work with large datasets.
• Experience in statistical analysis and data modeling.
• Excellent communication and presentation skills.
• Solid working knowledge of Microsoft Excel and other data manipulation tools.
• Familiarity with data governance and awareness of data privacy regulations is advantageous.

As a Data Scientist you will have exposure to many aspects of the business, and make direct impact to the bottom line. You will be accountable for interfacing with various teams throughout the business to derive a deep understanding of underlying phenomena that impact portfolio performance, develop better features to improve the performance of our predictive models, and better understand the links between client interventions and behaviour. You will also innovate to improve processes, algorithms, methods, product constructs, designs, and analyse experiments to learn about our clients and explore opportunities for portfolio improvement such as growth, stability, and revenue.

You will

• Analyse, transform, augment and build datasets to convert financial and behavioural data into features and dimensions that allow us to more easily and accurately extract insights.
• Use your coding skills to contribute to our team tooling and automate processes as much as possible.
• Design and develop models of our real world systems and client behaviours to help inform our decision making. This includes, but is not limited to, forecasting, simulating products or systems, testing decline strategies, and optimising client experience.
• Analyse end user requirements to understand and communicate what our stakeholders (for example, fellow analysts, portfolio managers, or partners) need, and what we can deliver to match those expectations.
• Derive and communicate insights to our stakeholders.

You will need

• A bachelor's degree with a strong quantitative component (e.g. Economics, Physics, Engineering, Software engineering, etc.).
• Minimum 3-5 years of experience filling a similar role in Finance & Technology.
• Strong data wrangling skills using SQL and coding in python.
• An ability to interpret problems, and simplify them to their essentials.
• The desire to innovate, be creative and work on challenging problems.

Bonus if you have

• Experience working in fintech, specifically with lending products.
• Experience working with cloud computing.
• Personal projects you have worked on that you can showcase.
• Experience with software engineering.
• Experience in communicating complex concepts simply and clearly.

We ask a lot of each other at JUMO, but we give a lot too.

You will love

• Collaborating with smart, engaging people in an inspiring work environment
• Working for impact
• Growing and learning continuously, with loads of encouragement and support
• Boldly taking risks as we navigate new challenges
• Being autonomous and empowered to lead
• A stack of leading-edge technologies

Remote First

You will be based in South Africa. We operate on a remote first working approach where working remotely is our default way of working. Our environment is designed to foster innovation and enable collaboration. We have co-working spaces available in Cape Town for collaboration and connection and for the use of those who value and want to work out of an office. You have flexibility where to work from, as long as you have access to a reliable connection and are set up to work remotely.

Diversity and Inclusion

At JUMO, we firmly believe that diversity strengthens our teams. We are dedicated to fostering an inclusive recruitment process that cultivates an environment where all individuals can be authentic, collaborate, and thrive.

Job Details

Job Location : South Africa

Salary Range : Undisclosed

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!

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.

• 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.

• 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.

• 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.

Executive

Full-time

Information Technology

IT Services and IT Consulting

An enthusiastic and diligent Data Scientist with strong problem-solving abilities and a passion for impactful analysis. You will work at the intersection of data, strategy, and software to support the entrepreneurial journeys of over 50,000 Sales Force members while helping to launch and scale a new fintech business. This role is based in Johannesburg, offers a competitive salary, and provides a unique opportunity to use data to drive meaningful change.

As our Data Scientist, you will help us make sense of complex datasets by building robust data models, cleaning and consolidating data sources, and designing tools that unlock actionable insights across the organization. You will work across fintech and field sales domains to inform better decisions, optimize processes, and improve the performance of our tools and operations.

You’ll collaborate with engineers, product managers, and stakeholders from operations and strategy to surface insights that drive business outcomes. From creating dashboards to running statistical analyses and automating workflows, your work will directly contribute to helping our sales force earn better, work smarter, and grow faster.

• Extracting, transforming, and loading data from multiple sources into usable formats.
• Cleaning and consolidating data to create analysis-ready datasets.
• Building dashboards and visual reports supporting operations and strategic planning.
• Conducting exploratory data analysis to identify trends, anomalies, and opportunities.
• Responding to ad hoc business questions and surfacing insights for decision-making.
• Creating automation and optimization tools using Python and Excel.
• Collaborating with stakeholders to define analytical questions and interpret results.
• Improving data pipelines and supporting data quality initiatives.
• Integrating analytics into existing platforms and processes.

• Advanced SQL proficiency for querying structured datasets.
• Solid experience using Python for data manipulation and analysis.
• Proficiency in data visualization and dashboard creation.
• Strong working knowledge of Microsoft Excel.
• Understanding of ETL concepts and data pipeline fundamentals.
• Familiarity with cloud environments such as Google Cloud or AWS is a plus.
• Basic understanding of statistics and hypothesis testing.
• Strong critical thinking and problem-solving skills.

• Ability to translate complex business needs into analytical models and dashboards.
• Effective communication of insights to technical and non-technical stakeholders.
• Capability to handle multiple data requests and priorities systematically.
• Ability to identify gaps and opportunities in data sources.
• Experience in automation and reporting using code and tools.
• Strong collaboration skills with cross-functional teams.
• Adaptability to new datasets, technologies, and business questions.
• Ownership of projects and proactive learning attitude.

• Exploratory data analysis and visual storytelling.
• Building tools and reports that are actively used and provide value.
• Creating dashboards in tools like AWS QuickSight or Google Data Studio.
• Using Jupyter notebooks.
• Experience with version control systems.
• Supporting operational and performance analytics across sales, customer, and product data.

• A tertiary qualification in Data Science, Mathematical Statistics, Computer Science, Engineering, or related fields.
• Minimum of 2 years of experience in a data science or analytics role.
• Strong problem-solving skills and a willingness to challenge assumptions.
• Proficiency in English (reading, writing, speaking).

A BIT MORE ABOUT US

At Asuer, you’ll join a mission with real meaning, empowering thousands across Africa. Collaborate with smart, curious teammates who move fast and build purposefully, without legacy system constraints. We offer competitive pay, flexible work environment, and autonomy to build impactful systems. This is a place for growth, where you can scale meaningful products and make a tangible impact daily.

Founded over 16 years ago, with more recent investments from Accel-KKR, Entersekt is a leader in digital banking fraud prevention and

At Monocle, we believe work is more than a job. It is a chance to make a difference in the world of finance. An opportunity to fulfil your potential. To make friendships with ambitious, positive, likeminded people. To gain invaluable industry experience and learn critical skills that will make you a highly sought-after management consultant.

Monocle is a people-centric, independent consulting firm, specialising in banking and insurance. We understand that our greatest asset is our people and because of this, we do things a bit differently.

Monocle embraces an ongoing and active approach to amplifying the talents of our people, empowering them to unlock their full potential and feel fulfilled in their careers. Our vibrant culture thrives through our shared growth mindset, collaboration, support, and social connection, fostering a space where everyone can flourish. We are committed to continuous learning and provide ongoing technical training, industry certification support, and personal development opportunities through mentorship and executive engagement. Ultimately, we strive to create an environment that nurtures ambition, supports well-being, embraces diversity, upholds integrity, and inspires individuals to make a positive and lasting impact on the world around us.

Unlimited training and development - Investment in our peoples development is at the heart of Monocles company ethos. That is why we prioritise the upskilling of every employee.

Unparalleled growth and exposure - Monocle is uniquely positioned in the market to undertake projects across a wide spectrum of critical and exciting areas of the financial services industry. Our consultants deliver mission critical projects at the most prestigious banks and insurers in Johannesburg, Cape Town, London and Amsterdam.

Unique and vibrant company culture - At Monocle, we believe friends work better together than colleagues. We love nothing more than partaking in a wide variety of activities through our company sponsored clubs.

Ultra-competitive compensation - At Monocle, we want the best talent to join our team, so we understand that those individuals need to be recognised and rewarded for their true value.

We are seeking a highly skilled and motivated Data Scientist with a strong background in Generative AI and Machine Learning to join our team. The ideal candidate will play a critical role in developing, deploying, and scaling AI-powered applications, leveraging the latest advancements in generative AI and MLOps. This role requires proficiency in both backend and frontend development, deep understanding of vector databases, and hands-on experience with leading-edge GenAI tools and frameworks.

Design, develop, and deploy Generative AI applications using tools like Azure OpenAI Service , LangChain , and LangFuse

Build full-stack AI-powered solutions, including backend services and frontend interfaces

Work with Weaviate and other vector databases for storage and retrieval of embeddings

Implement and manage MLOps pipelines to support scalable model training and deployment

Create and optimize text and data embeddings for use in retrieval-augmented generation (RAG) and other NLP applications

Apply ML techniques to solve business problems, perform data analysis, and build predictive models

Collaborate with cross-functional teams including product, engineering, and business stakeholders to identify opportunities for AI-driven innovation

Monitor, evaluate, and continuously improve AI models and application performance

Stay up-to-date with advancements in AI/ML research and tools, especially in the GenAI space

Strong proficiency in Python programming

Demonstrated experience in building and deploying full-stack applications (both backend and frontend)

Hands-on experience with:

LangChain

LangFuse

Weaviate or similar vector databases

Solid understanding of embedding models and vector search concepts

Practical experience with MLOps tools and best practices for deploying and maintaining ML pipelines

Working knowledge of traditional machine learning algorithms and statistical modelling

Experience with cloud environments, especially Microsoft Azure

Excellent problem-solving skills and ability to work in an agile, collaborative environment

Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders

Bachelors in Mathematics, Mathematical Statistics, Computer Science, Electronic/Computer Engineering, Actuarial Science or related field.Strong preference for a post graduate qualification.

3+ years' experience in a similar role in Consulting, Banking or Financial Services.

The ideal Monocle Consultant also :

Has an enquiring mind and is eager to learn and improve their professional skillset.

Is able to work in a dynamic environment where one day never looks like another.

Is enthusiastic in their approach to their work.

Regards themselves as a high performer.

Is an excellent communicator with exceptional verbal and written communication skills.

Works well under pressure to meet client objectives.

Is sociable and enjoys interacting with others, both at work and at social events.

Works well independently and in a team.

During the interview process, you will meet with different Monocle representatives. A critical aspect of the interview process will be determining whether Monocle will be a good fit for you and your career aspirations, so please come prepared with any questions you may have.

A 45-Minute, 60-questions, online competency assessment test.

A personal meeting with People & Culture to get to know you and tell you more about Monocle.

To discuss your skills, business knowledge, experience, project fit and the role requirements.

A discussion with either our CEO, COO or CFO on various topics.

A final offer is made by the P&C team to the candidate.

*Please note that on clicking 'Apply Now' you will be redirected to our third-party career portal

Let's Write Africa's Story Together!

Old Mutual is a firm believer in the African opportunity and our diverse talent reflects this.

Job Description

Key Responsibilities

• Data Analysis & Interpretation:
  • Analyze large and complex data sets to identify trends, patterns, and insights that drive business decisions.
  • Develop and maintain dashboards, reports, and visualizations to effectively communicate findings to stakeholders.
• Predictive Modeling:
  • Design, build, and validate predictive models to support the Next Best Action engine and goal recommender.
  • Continuously refine models based on feedback and new data to ensure accuracy and relevance.
• Collaboration:
  • Work closely with cross-functional teams, including product owners, data engineers, and business stakeholders, to understand data needs and deliver actionable insights.
  • Provide mentorship and guidance to junior analysts within the team.
• Innovation & Improvement:
  • Stay up-to-date with the latest trends and technologies in data analytics and financial services.
  • Identify opportunities for process improvements and automation within the analytics workflow.
• Customer-Centric Approach:
  • Leverage data to enhance customer experiences and engagement through personalized recommendations and insights.
  • Contribute to the development of our chatbot to ensure it provides valuable, data-driven financial advice to customers.

Minimum Requirements

• Education:
  • Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
• Experience:
  • 5+ years of experience in data analysis, preferably within the financial services industry.
  • Proven experience in building and deploying predictive models.
  • Strong knowledge of data analytics tools and programming languages such as SQL, Python, R, and relevant data visualization tools (e.g., Tableau, Power BI).
• Skills:
  • Excellent analytical and problem-solving skills with a keen eye for detail.
  • Strong communication skills, with the ability to present complex data insights to non-technical stakeholders.
  • Ability to work collaboratively in a fast-paced, dynamic environment.
  • Experience with big data technologies (e.g., Hadoop, Spark) is a plus.
• Personal Attributes:
  • Self-motivated, proactive, and eager to learn and grow.
  • Customer-focused with a passion for improving financial wellness through data-driven insights.
  • Strong organizational skills and the ability to manage multiple projects simultaneously.

Skills

Competencies

Education

Closing Date

The appointment will be made from the designated group in line with the Employment Equity Plan of Old Mutual South Africa and the specific business unit in question.

The Old Mutual Story!

Let's Write Africa's Story Together!

Old Mutual is a firm believer in the African opportunity and our diverse talent reflects this.

Job Description

Key Responsibilities

• Data Analysis & Interpretation:
  • Analyze large and complex data sets to identify trends, patterns, and insights that drive business decisions.
  • Develop and maintain dashboards, reports, and visualizations to effectively communicate findings to stakeholders.
• Predictive Modeling:
  • Design, build, and validate predictive models to support the Next Best Action engine and goal recommender.
  • Continuously refine models based on feedback and new data to ensure accuracy and relevance.
• Collaboration:
  • Work closely with cross-functional teams, including product owners, data engineers, and business stakeholders, to understand data needs and deliver actionable insights.
  • Provide mentorship and guidance to junior analysts within the team.
• Innovation & Improvement:
  • Stay up-to-date with the latest trends and technologies in data analytics and financial services.
  • Identify opportunities for process improvements and automation within the analytics workflow.
• Customer-Centric Approach:
  • Leverage data to enhance customer experiences and engagement through personalized recommendations and insights.
  • Contribute to the development of our chatbot to ensure it provides valuable, data-driven financial advice to customers.

Minimum Requirements

• Education:
  • Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
• Experience:
  • 5+ years of experience in data analysis, preferably within the financial services industry.
  • Proven experience in building and deploying predictive models.
  • Strong knowledge of data analytics tools and programming languages such as SQL, Python, R, and relevant data visualization tools (e.g., Tableau, Power BI).
• Skills:
  • Excellent analytical and problem-solving skills with a keen eye for detail.
  • Strong communication skills, with the ability to present complex data insights to non-technical stakeholders.
  • Ability to work collaboratively in a fast-paced, dynamic environment.
  • Experience with big data technologies (e.g., Hadoop, Spark) is a plus.
• Personal Attributes:
  • Self-motivated, proactive, and eager to learn and grow.
  • Customer-focused with a passion for improving financial wellness through data-driven insights.
  • Strong organizational skills and the ability to manage multiple projects simultaneously.

Skills

Competencies

Education

Closing Date

The appointment will be made from the designated group in line with the Employment Equity Plan of Old Mutual South Africa and the specific business unit in question.

The Old Mutual Story!