297 R And D Scientist jobs in South Africa

At Matter Labs, we believe freedom drives progress and prosperity. We don’t see ourselves as a company, but as a team aligned around a single mission: to advance personal freedom for all (see ZK Credo).

To achieve this goal, we’re building zkSync — a credibly neutral, fully open source technology stack and network on top of Ethereum, which is owned and governed by its community. We use advanced cryptography called zero-knowledge proofs to scale Ethereum infinitely without compromising on security or decentralization. With a world-class team, a community of over 1M supporters across Twitter + Discord, and hundreds of millions $ in funding, we have abundant resources to accomplish the mission.

The Role

We are looking for Research Scientists to join our Research Team. We are looking for accomplished researchers with a PhD in relevant areas of computer science interested in working on various aspects of the complex system that Matter Labs is building, including security, performance, networking, hardware, programming languages, program correctness, and various aspects of applied cryptography related to zero-knowledge proofs.

We expect you to have a track record of research in a relevant area and to be connected to both the academic community and industrial practice. Experience of working on other blockchain projects is a plus but not a requirement.

What You’ll Be Doing

• We expect you to be an expert in your field and to apply your knowledge and expertise to come up with solutions relevant to what Matter Labs is building.
• We expect you to work with both research scientists as well as engineers and engineering managers to get what you produce deployed.
• We expect you to be a member of the academic community and to read and possibly write papers, listen and possibly give presentations, in order to stay abreast of the most recent developments as they happen.

What We Look For In You

• Experience in one (or more) of the following areas: performance (distributed systems, runtimes, networking stack), security, verification and/or machine learning.
• A PhD in computer science or related discipline.
• A track record of research relevant to or deployed in an industrial setting.
• Ability and willingness to produce technical blogs, reports, and papers.
• Deep understanding of software engineering best-practices.
• Ownership mindset and a track record of successfully accomplished projects.
• In-depth knowledge of common algorithms, data structures, and their computational & memory complexities.
• Proven publication history.
• Experience implementing complex prototypes both from scratch and based on existing code bases.
• Ability to produce code that leads to industrial deployment.
• English is your native language or you are completely fluent.

Working at Matter Labs

At Matter Labs, you have the freedom to work how you want, when you want, and from where you want. All positions are 100% remote (with optional travel to team and/or industry events). We operate in lean and nimble teams, with no time tracking and minimum bureaucracy. We move fast. Only results matter. We will provide you with everything you need to learn, grow, and be productive.

Our results-only environment means anyone who believes in our mission can join us, regardless of background, sexual orientation, race, gender, and age. Both our team and community are made up of people from diverse backgrounds. That’s why, out of politeness and respect, we refrain from opinions on politics, religion, or sex at the workplace.

We designed our culture around the tenants of freedom and ownership. This ethos will underpin our positive-sum community as we evolve toward full decentralization.

If this role resonates with you, apply now for prompt feedback.

Important: We are remote-first, operating in the timezones between UTC-5 (Latam and Atlantic Coast) to UTC+7 (South-East Asia). While we’re currently not hiring in the US, we do consider US-based applicants willing to relocate.

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Zindi, based in Johannesburg, Gauteng, South Africa, is seeking a Product Research Scientist, Lelapa AI . Lelapa AI is building a localized African AI lab focused on language technologies for Africans, by Africans. Our team across Africa, Europe, and North America aims to advance AI research, product development, and innovation to benefit African communities.

About the Role

We face the challenge of developing NLP models for low-resourced African languages, which require data-efficient and resource-efficient solutions. The Product Research Scientist will research, build, and improve multilingual African language models for NLP tasks such as transcription and translation.

Responsibilities

• Design, develop, and optimize NLP models for African languages, including speech recognition, sentiment analysis, and machine translation.
• Perform error analysis and understand model failures with the help of language experts.
• Develop evaluation frameworks and monitor models in production.
• Collaborate with data teams and linguists for data collection, cleaning, and annotation.
• Translate research into practical NLP applications in collaboration with product teams.
• Document research findings and present to stakeholders.
• Stay updated with advancements in NLP and machine learning.

Skills & Qualifications

• Degree in Data Science, Computer Science, NLP, or related field (Masters preferred).
• 2-3 years experience in Data Science or AI products.
• Proficiency in Python, TensorFlow or PyTorch, and NLP libraries like HuggingFace.
• Experience working in fast-paced startup environments.
• Passion for addressing linguistic and cultural challenges in Africa.
• Strong problem-solving, communication, and collaboration skills.
• Knowledge of Responsible AI and ML limitations.

Preferred

• Knowledge of African languages and NLP projects in African contexts.
• Experience with MLOps tools and low-resource language techniques.
• Publications in NLP.

Benefits

• Remote-friendly work arrangements.
• Opportunity to innovate in AI for African languages.
• Medical aid, parental leave, 25 days vacation, and impact on product roadmap.

Remuneration

R 50,000 - R 80,000 per month, depending on experience.

Seniority Level

• Mid-Senior level

Employment Type

• Full-time

Job Function & Industry

• Other
• IT Services and IT Consulting

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Our Company:

At impact.com we are passionate about our people, our technology, and are obsessed with customer success. Working together enables us to grow rapidly, win, and serve the largest brands in the world. We use cutting edge technology to solve real-world problems for our clients and continue to pull ahead of the pack as the leading SaaS platform for businesses to automate their partnerships and grow their revenue like never before. We have an entrepreneurial spirit and a culture where ambition and curiosity is rewarded. If you are looking to join a team where your opinion is valued, your contributions are noticed, and enjoy working with fun and talented people from all over the world, then this is the place for you!

impact.com, the world’s leading partnership management platform, is transforming the way businesses manage and optimize all types of partnerships—including traditional rewards affiliates, influencers, commerce content publishers, B2B, and more. The company’s powerful, purpose-built platform makes it easy for businesses to create, manage, and scale an ecosystem of partnerships with the brands and communities that customers trust to make purchases, get information, and entertain themselves at home, at work, or on the go. To learn more about how impact.com’s technology platform and partnerships marketplace is driving revenue growth for global enterprise brands such as Walmart, Uber, Shopify, Lenovo, L’Oreal, and Fanatics, visit .

Your Role at Impact.com:

We are seeking a talented Senior Data Scientist / Data Scientist with a passion for working with generative AI models such as large language models (LLMs) to join our team. You will be with a Senior Data Scientist within a cross-functional squad on developing and fine-tuning AI models to support influencer marketing activities, providing actionable insights and recommendations through data analysis and modeling to enhance brand/partner discovery capabilities, contracting, content creation, and performance analysis. Your work will play a crucial role in enabling brands and partners to achieve their goals faster and better, proving that a data-driven approach, and the synergy of AI and human intelligence can drive exceptional results in the digital connected economy.

What You'll Do:

• AI Model Development: Design, develop, and fine-tune machine learning models and large language models (LLMs) specifically for targeted applications in digital marketing.
• Data Analysis: Analyze large datasets to extract actionable insights and trends relevant to the partnership landscape.
• Discovery: Develop algorithms for discovering and recommending suitable creators, influencers, and affiliates based on brand requirements, product offerings, and market trends.
• Process Optimization: Create models to streamline the contracting and negotiation process between brands and influencers.
• Content Creation: Assist in generating content ideas and strategies using AI-driven insights to enhance engagement and reach.
• Performance Analysis: Build predictive models to evaluate the success of marketing campaigns and provide recommendations for improvement.
• Collaboration: Work closely with product managers, marketers, and engineering teams to integrate AI solutions into the platform.
• Research and Innovation: Stay up-to-date with the latest advancements in AI and machine learning, and continuously explore new techniques and technologies to enhance our product offerings.

What You Have:

• Educational Background: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
• Technical Expertise:
• Working knowledge of Python
• Experience with machine learning frameworks/libraries such as TensorFlow, PyTorch, Apache MLlib, or Scikit-learn.
• Well-developed knowledge of machine learning generally, and deep learning specifically.
• Experience with the use of natural language processing (NLP) techniques for textual analysis.
• Experience with data visualization tools (e.g., Tableau, Power BI, Looker).
• Familiarity with SQL
• Knowledge with Big Data processing tech (e.g., BigQuery, Databricks, Spark, Snowflake, Redshift, Hadoop) will be an added advantage.
• Analytical Skills: Problem-solving abilities and exposure to modeling and analyzing large datasets to extract meaningful insights and inform decisions.
• Communication: Excellent written and verbal communication skills, with the ability to present complex technical concepts to non-technical audiences.
• Team Player: Ability to work collaboratively in a cross-functional team environment.
• Adaptability: Willingness to learn new skills and technologies, and to adapt to the evolving needs of the business.
• Experience: At least 2 - 4 years in data-related individual contributor roles.
• Previous experience in a startup or fast-paced environment is desirable.

Nice to have:

• Affiliate & Partnerships Industry Fundamentals Certification by PXA

Benefits:

• Unlimited PTO policy
• Take the time off that you need. We are truly committed to a positive work-life balance, recognizing that it is important to be happy and fulfilled in both.
• Training & Development
• Learning the advanced partnership automation products.
• Medical Aid and Provident Fund
• Group schemes with Discovery & Bonitas for medical aid.
• Group scheme with Momentum for provident fund.
• Stock Options
• 3-year vesting schedule pending Board approval.
• Primary caregiver leave
• Internet Allowance
• Flexible work hours
• Casual work environment
• Technology stipend

impact.com is proud to be an equal opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of their race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non-merit factors.

#LI-Hybrid

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Our Company:

At impact.com we are passionate about our people, our technology, and are obsessed with customer success. Working together enables us to grow rapidly, win, and serve the largest brands in the world. We use cutting edge technology to solve real-world problems for our clients and continue to pull ahead of the pack as the leading SaaS platform for businesses to automate their partnerships and grow their revenue like never before. We have an entrepreneurial spirit and a culture where ambition and curiosity is rewarded. If you are looking to join a team where your opinion is valued, your contributions are noticed, and enjoy working with fun and talented people from all over the world, then this is the place for you!

impact.com, the world’s leading partnership management platform, is transforming the way businesses manage and optimize all types of partnerships—including traditional rewards affiliates, influencers, commerce content publishers, B2B, and more. The company’s powerful, purpose-built platform makes it easy for businesses to create, manage, and scale an ecosystem of partnerships with the brands and communities that customers trust to make purchases, get information, and entertain themselves at home, at work, or on the go. To learn more about how impact.com’s technology platform and partnerships marketplace is driving revenue growth for global enterprise brands such as Walmart, Uber, Shopify, Lenovo, L’Oreal and Fanatics, visit .

Your Role at Impact.com:

We are seeking a talented Senior Data Scientist / Data Scientist with a passion for working with generative AI models such as large language models (LLMS) to join our team. You will be with a Senior Data Scientist within a cross-functional squad on developing and fine-tuning AI models to support influencer marketing activities, providing actionable insights and recommendations through data analysis and modeling to enhance brand/partner discovery capabilities, contracting, content creation, and performance analysis. Your work will play a crucial role in enabling brands and partners to achieve their goals faster and better, proving that a data-driven approach, and the synergy of AI and human intelligence can drive exceptional results in the digital connected economy.

What You'll Do:

• AI Model Development: Design, develop, and fine-tune machine learning models and large language models (LLMs) specifically for targeted applications in digital marketing.
• Data Analysis: Analyze large datasets to extract actionable insights and trends relevant to the partnership landscape.
• Discovery: Develop algorithms for discovering and recommending suitable creators, influencers, and affiliates based on brand requirements, product offerings and market trends.
• Process Optimization: Create models to streamline the contracting and negotiation process between brands and influencers.
• Content Creation: Assist in generating content ideas and strategies using AI-driven insights to enhance engagement and reach.
• Performance Analysis: Build predictive models to evaluate the success of marketing campaigns and provide recommendations for improvement.
• Collaboration: Work closely with product managers, marketers, and engineering teams to integrate AI solutions into the platform.
• Research and Innovation: Stay up-to-date with the latest advancements in AI and machine learning, and continuously explore new techniques and technologies to enhance our product offerings.

What You Have:

• Educational Background: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
• Technical Expertise:
• Working knowledge of Python
• Experience with machine learning frameworks/libraries such as TensorFlow, PyTorch, Apache MLlib, or Scikit-learn.
• Well-developed knowledge of machine learning generally, and deep learning specifically.
• Experience with the use of natural language processing (NLP) techniques for textual analysis.
• Experience with data visualization tools (e.g., Tableau, Power BI, Looker).
• Familiarity with SQL
• Knowledge with Big Data processing tech (e.g., BigQuery, Databricks, Spark, Snowflake, Redshift, Hadoop) will be an added advantage
• Analytical Skills: Problem-solving abilities and exposure to modeling and analyzing large datasets to extract meaningful insights and inform decisions.
• Communication: Excellent written and verbal communication skills, with the ability to present complex technical concepts to non-technical audiences.
• Team Player: Ability to work collaboratively in a cross-functional team environment.
• Adaptability: Willingness to learn new skills and technologies, and to adapt to the evolving needs of the business.
• Experience : At least 2 - 4 years in data-related individual contributor roles
• Previous experience in a startup or fast-paced environment is desirable.

Nice to have:

• Affiliate & Partnerships Industry Fundamentals Certification by PXA

Benefits:

• Unlimited PTO policy
• Take the time off that you need. We are truly committed to a positive work-life balance, recognising that it is important to be happy and fulfilled in both
• Training & Development
• Learning the advanced partnership automation products
• Medical Aid and Provident Fund
• Group schemes with Discovery & Bonitas for medical aid
• Group scheme with Momentum for provident fund
• Stock Options
• 3-year vesting schedule pending Board approval
• Primary caregiver leave
• Internet Allowance
• Flexible work hours
• Casual work environment
• Technology stipend

impact.com is proud to be an equal opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of their race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non-merit factors.

#LI-Hybrid

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Our Company: At impact.com we are passionate about our people, our technology, and are obsessed with customer success. Working together enables us to grow rapidly, win, and serve the largest brands in the world. We use cutting edge technology to solve real-world problems for our clients and continue to pull ahead of the pack as the leading Saa S platform for businesses to automate their partnerships and grow their revenue like never before. We have an entrepreneurial spirit and a culture where ambition and curiosity is rewarded. If you are looking to join a team where your opinion is valued, your contributions are noticed, and enjoy working with fun and talented people from all over the world, then this is the place for you! impact.com, the world’s leading partnership management platform, is transforming the way businesses manage and optimize all types of partnerships—including traditional rewards affiliates, influencers, commerce content publishers, B2 B, and more. The company’s powerful, purpose-built platform makes it easy for businesses to create, manage, and scale an ecosystem of partnerships with the brands and communities that customers trust to make purchases, get information, and entertain themselves at home, at work, or on the go. To learn more about how impact.com’s technology platform and partnerships marketplace is driving revenue growth for global enterprise brands such as Walmart, Uber, Shopify, Lenovo, L’Oreal, and Fanatics, visit . Your Role at Impact.com: We are seeking a talented Senior Data Scientist / Data Scientist with a passion for working with generative AI models such as large language models (LLMs) to join our team. You will be with a Senior Data Scientist within a cross-functional squad on developing and fine-tuning AI models to support influencer marketing activities, providing actionable insights and recommendations through data analysis and modeling to enhance brand/partner discovery capabilities, contracting, content creation, and performance analysis. Your work will play a crucial role in enabling brands and partners to achieve their goals faster and better, proving that a data-driven approach, and the synergy of AI and human intelligence can drive exceptional results in the digital connected economy. What You'll Do: AI Model Development: Design, develop, and fine-tune machine learning models and large language models (LLMs) specifically for targeted applications in digital marketing. Data Analysis: Analyze large datasets to extract actionable insights and trends relevant to the partnership landscape. Discovery: Develop algorithms for discovering and recommending suitable creators, influencers, and affiliates based on brand requirements, product offerings, and market trends. Process Optimization: Create models to streamline the contracting and negotiation process between brands and influencers. Content Creation: Assist in generating content ideas and strategies using AI-driven insights to enhance engagement and reach. Performance Analysis: Build predictive models to evaluate the success of marketing campaigns and provide recommendations for improvement. Collaboration: Work closely with product managers, marketers, and engineering teams to integrate AI solutions into the platform. Research and Innovation: Stay up-to-date with the latest advancements in AI and machine learning, and continuously explore new techniques and technologies to enhance our product offerings. What You Have: Educational Background: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. Technical Expertise: Working knowledge of Python Experience with machine learning frameworks/libraries such as Tensor Flow, Py Torch, Apache MLlib, or Scikit-learn. Well-developed knowledge of machine learning generally, and deep learning specifically. Experience with the use of natural language processing (NLP) techniques for textual analysis. Experience with data visualization tools (e.g., Tableau, Power BI, Looker). Familiarity with SQL Knowledge with Big Data processing tech (e.g., Big Query, Databricks, Spark, Snowflake, Redshift, Hadoop) will be an added advantage. Analytical Skills: Problem-solving abilities and exposure to modeling and analyzing large datasets to extract meaningful insights and inform decisions. Communication: Excellent written and verbal communication skills, with the ability to present complex technical concepts to non-technical audiences. Team Player: Ability to work collaboratively in a cross-functional team environment. Adaptability: Willingness to learn new skills and technologies, and to adapt to the evolving needs of the business. Experience: At least 2 - 4 years in data-related individual contributor roles. Previous experience in a startup or fast-paced environment is desirable. Nice to have: Affiliate & Partnerships Industry Fundamentals Certification by PXA Benefits: Unlimited PTO policy Take the time off that you need. We are truly committed to a positive work-life balance, recognizing that it is important to be happy and fulfilled in both. Training & Development Learning the advanced partnership automation products. Medical Aid and Provident Fund Group schemes with Discovery & Bonitas for medical aid. Group scheme with Momentum for provident fund. Stock Options 3-year vesting schedule pending Board approval. Primary caregiver leave Internet Allowance Flexible work hours Casual work environment Technology stipend impact.com is proud to be an equal opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of their race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non-merit factors. #LI-Hybrid #J-18808-Ljbffr

Job Description

Job Purpose :

The Data Scientist will be responsible for designing, developing, and deploying advanced analytics and machine learning solutions to address key business challenges. This role requires a deep understanding of data mining techniques, predictive modeling, AI / ML frameworks, and strong programming capabilities to build and implement scalable data science solutions.

Key Responsibilities :

• Identify and access both structured and unstructured data required to meet business objectives.
• Create usable data subsets from valuable data sources.
• Enhance data collection methods to capture critical variables required for analytics.
• Validate and ensure the integrity and quality of data for accurate analysis.
• Pre process and transform raw data to a usable format for modelling.
• Select and fine-tune appropriate Artificial Intelligence (AI) and Machine Learning (ML) models.
• Develop, test, and deploy ML algorithms to predict trends and business outcomes.
• Write efficient solution code and develop deployment packs for production environments.
• Select optimal features, optimize classifiers, and identify key patterns for improved predictive accuracy.
• Build and implement predictive models to solve business problems.
• Conduct feasibility studies, simulations, and experiments to test business hypotheses.
• Compile and maintain project schedules and work plans.
• Guide, mentor, and review the work of other data science team members.
• Collaborate with cross-functional teams, stakeholders, and external vendors.
• Communicate and present technical insights and proposed solutions to both technical and non-technical audiences.
• Provide technical leadership and guidance on data science best practices and standards.

Requirements

Minimum Qualifications & Experience :

Bachelor’s degree in Statistics, Applied Mathematics, Computer Science, or a related field.

Industry certification in Data Science or Machine Learning (e.g., Microsoft, IBM, Google Cloud, IIBA, etc.).

Minimum 6 years of experience in the application of AI / ML models and data science tools.

Extensive experience in programming languages and tools such as Python, R, T-SQL, etc.

Proficient in data mining, statistical analysis, and mathematics.

Experience using cloud platforms (e.g., Azure, AWS, Google Cloud) and Business Intelligence tools.

Hands-on experience with data wrangling, feature engineering, and model optimization.

Strong understanding of Data Visualization Tools such as matplotlib, ggplot, D3.js, PowerBI.

Proven ability to guide teams and manage the technical delivery of analytics solutions.

Excellent written and verbal communication skills – able to present findings clearly to both technical and business audiences.

Strong problem-solving aptitude and software engineering background.

Preferred Skills :

Familiarity with MLOps tools and lifecycle management.

Exposure to agile methodologies and working within Agile squads.

Experience with version control (e.g., Git), CI / CD pipelines, and containerization (Docker, Kubernetes).

Key Competencies :

Analytical thinking and innovation

Attention to detail and data accuracy

Collaboration and teamwork

Initiative and problem-solving

Technical leadership and mentoring

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Dynamics of the Role:

TransUnion is committed to finding innovative ways information can be used to help businesses and consumers make smarter decisions.

As a data scientist in our team, you’ll join a world class group of data scientists, statisticians and

mathematicians on a mission to derive insights from data and put them to good use. You’ll be responsible for developing credit risk, fraud and customer solutions through consulting engagements and research serving TransUnion’s clients across Financial Services, Telecommunications and Insurance Industries.

How you will contribute:

• You’ll collaborate with cross-functional teams and external partners both locally and internationally to drive the design and development of analytical products and solutions at TU Africa.
• You’ll provide guidance and contribute subject matter expertise in projects involving descriptive, predictive, and prescriptive analysis – leveraging a variety of advanced tools and techniques.
• You’ll deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers and an executive audience.
• You’ll foster a high-performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand.

What you will bring to the role:

Education:

• Bachelor’s degree in Statistics, Applied Mathematics, Computer Science, Engineering, or another highly quantitative field (Honors preferred).

Experience:

• 5-8 years of professional experience with analytics and client solutioning projects.
• Multiple examples of demonstrated success in internal and external client-facing analytical roles over a period of at least three (3) years.
• Experience in developing, interpreting and presenting credit risk and propensity models to internal and external clients.
• Strong written and verbal communication skills: ability to clearly articulate ideas to both technical and non-technical audiences, strong presentation skills with comfort presenting to multiple levels within the organisation.
• Strong analytical, critical thinking, and creative problem-solving skills.
• Must be comfortable with presenting generated insights and recommendations to clients.
• Mastery of a statistical programming languages such as R, and SQL; proficiency with Microsoft Office tools.
• Operates with little supervision in a complex, dynamic, matrixed environment. Able to handle multiple tasks at one time.
• Strong project management skills with the ability to manage multiple assignments effectively.
• An understanding of current industry challenges and trends at the level needed to proactively identify customers’ analytical needs and related business opportunities.
• Experience and familiarity with analytical consulting.
• Experience working with credit bureau data and solutions preferred.
• Experience with cloud service platform would be advantageous.

What we offer:

• A work environment that encourages collaboration and innovation at a global scale. We consistently explore new technologies and tools to remain on the forefront of analytical innovation.
• Best in class analytical platforms with proprietary TU analytical tools, shared services and a hybrid-cloud infrastructure
• Our culture encourages our people to hone current skills and build new capabilities, while discovering their genius.

Who we are:

A global leader in credit information and information management services, TransUnion gives businesses, consumers and the global community the power to achieve their goals. Businesses count on us to better manage risk and customer relationships. Consumers are able to better manage credit to achieve their financial goals. And in communities around the world, we help build strong economies and give people the power to achieve their dreams.

Exceptional opportunities are coming as we build on this strong foundation. Our ambitious growth strategy includes substantial new investment worldwide, a wide range of new solutions to help our clients succeed like never before, and new ideas for expanding our reach in every part of our dynamic and fastmoving industry. We’re on an exciting journey and you can be a part of it. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

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Are you a Data Scientist based in the Eastern Cape or willing to relocate, seeking a new and challenging opportunity? This may be the position you have been searching for!

Requirements :

• Proven track record of at least 5 years applied data science / machine learning
• Experience in leading agile product teams to achieve outstanding data solutions
• Implementation experience for data technology and automation of the data science work flow
• Must have worked on Python / R / Java with machine learning algorithms such neural nets and SVMs
• Experience in MS Azure Data Lake, Databricks and Synapse and Analysis Services
• Experience in MS Power BI, SQL Analysis Services, SQL Database Development

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A vacancy exists for a Data Scientist within the Data Insights Team, Kazang , in Cape Town .

We are looking for a curious, dependable, and impact-driven Intermediate Data Scientist to step confidently into a role that blends advanced analytics, stakeholder communication, and team contribution. This is an exciting opportunity to play a leading role in shaping our data science environment while delivering high-impact models and insights that inform real business decisions. You’ll work at the intersection of data and strategy—helping to define how data science is applied across the organization.

In this role, you’ll collaborate with Software Engineers, Data Engineers, Data Analysts, Product Owners and decision-makers to scope, build, and deliver solutions using advanced statistical and machine learning models. You’ll be responsible for turning complex data into actionable recommendations and contributing to the design and implementation of data science frameworks using cutting-edge technologies. With a strong passion for modeling and experimentation, you’ll bring a scientific approach to solving business problems in a fast-paced FinTech environment.

Beyond technical delivery, this role is about how you show up in the team - sharing knowledge, offering mentorship, fostering collaboration, and bringing energy and positivity to our day-to-day culture. As a trusted advisor and a core member of the Data & Analytics team, you’ll play a key part in building not just data solutions, but a data-driven, collaborative, and innovative way of working.

Key Responsibilities Include, But Are Not Limited To

• Problem Framing & Business Understanding
• Collaborate with stakeholders to understand business problems and translate them into data science opportunities.
• Define success criteria and hypotheses for modeling efforts.
• Proactively recommend data science applications that add business value.
• Model Development & Analysis
• Build, test, and deploy models for prediction, classification, clustering, or segmentation.
• Use appropriate techniques (e.g., regression, decision trees, time series, NLP, or unsupervised learning) with an understanding of trade-offs.
• Apply rigorous validation and performance testing to ensure robustness.
• Design and implement experiments and conduct A/B testing to evaluate hypotheses.
• Insight Generation & Communication
• Develop statistical models and algorithms to extract insights from complex datasets.
• Interpret model outputs in the context of the business and communicate results to non-technical audiences.
• Create clear, actionable summaries and data stories that drive decisions.
• Highlight not just results, but implications and recommended next steps.
• Collaboration & Culture Building
• Collaborate with cross-functional teams to identify and analyze business problems.
• Contribute positively to team culture through collaboration, energy, and willingness to help others.
• Actively participate in team ceremonies and learning opportunities.
• Support junior team members through code reviews, brainstorming, or informal mentoring.
• Model accountability, open communication, and psychological safety.
• Technical Development & Governance
• Follow reproducible workflows (e.g., version control, environment tracking, documentation).
• Ensure models and codebases are clean, well-documented, and scalable.
• Stay up to date with new techniques and apply relevant advances to your work.
  
  

In order to be considered for this position, the following requirements must be met:

• Bachelor's degree in Computer Science, Statistics, or a related field.
• 2-3 years’ experience working as a Data Scientist in the FinTech industry.
• Proficient in Python, with strong knowledge of key libraries
• Skilled in SQL and experience working with structured data in cloud-based environments (BigQuery exposure is advantageous).
• In-depth knowledge of statistical modelling, machine learning, and data mining techniques.
• Excellent problem-solving skills and the ability to work in a fast-paced environment.
• Ability to independently manage the lifecycle of a data science project from scoping to delivery.
  
  

Technical Skills

• Familiarity with data visualization tools such as Power BI.
• Strong programming skills in Python.
• Experience with cloud data tools (BigQuery and AWS).
• Experience with big data technologies such as Spark is a plus.
• Exposure to MLOps principles (e.g., model tracking, pipelines, CI/CD).
• Experience collaborating with BI teams and integrating data science into dashboards.
• Familiarity with Git, Jira, and Confluence.
• Understanding of experimentation and A/B testing design.
  
  

Behavioural Competencies

• Strong communicator who can simplify complex concepts for business audiences.
• Naturally collaborative, with a desire to support others and share knowledge.
• Detail-oriented but able to keep the bigger picture in mind.
• Brings a positive presence to the team—encouraging, empathetic, and respectful.
• Proactive and curious; always looking for ways to add value.
  
  

Performance Expectations

• Deliver models and insights that directly influence business outcomes.
• Communicate findings in a clear, structured, and compelling way.
• Take ownership of delivery timelines and project accountability.
• Contribute to a supportive, high-performing team environment.
• Share knowledge, support peers, and model a growth-oriented mindset.
• Be recognized by both the team and stakeholders as a reliable, collaborative, and positive contributor.

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