Data Scientist

Posted Yesterday
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Johannesburg, Gauteng, ZAF
In-Office
Mid level
Financial Services
The Role
Develop advanced analytical methodologies, quantitative models, and consumer research insights to solve business challenges. Analyze large consumer datasets to uncover behavioral trends, identify growth opportunities, and support commercial strategy. Translate complex findings into actionable recommendations, dashboards, and compelling presentations for corporate clients and stakeholders. Collaborate with multidisciplinary teams while exploring new data sources and analytical techniques.
Summary Generated by Built In
Job Description

To plan, build, optimise and implement innovative quantitative analytical methodologies, procedures, products and advanced mathematical models that provide analytical support and interpret insights, to address business opportunities and problems and implement business strategy, with minimal guidance.
  • Hello Future Data Scientist

    Job Profile Summary

    Are you fascinated by understanding why consumers behave the way they do?

    We are looking for a Data Scientist who is passionate about solving real business challenges through data, consumer research and behavioural analytics. In this role, you will work alongside leading South African corporates to uncover hidden consumer trends, identify growth opportunities and translate complex data into meaningful commercial insights.

    You will combine advanced analytics with consumer understanding to answer critical business questions: Why are customers changing their behaviour? What drives loyalty and spend? Which consumer segments represent the greatest opportunity? How can businesses make better decisions based on evidence rather than assumptions?

    This is a unique opportunity to work at the intersection of data science, consumer research, strategy and client engagement.

    Are You Someone Who Can:

  • Translate complex business challenges into analytical and consumer research questions
  • Uncover hidden behavioural patterns, motivations and trends within large consumer datasets
  • Combine data science techniques with commercial thinking to generate actionable insights
  • Develop analytical models that help clients understand consumer behaviour and market dynamics
  • Transform data into compelling stories that supports strategic decision-making
  • Engage with clients and stakeholders to deeply understand their business challenges
  • Explore new data sources, research methodologies and analytical techniques to answer difficult questions
  • Present findings clearly and confidently to both technical and non-technical audiences
  • Collaborate with multidisciplinary teams to solve complex business problems
  • Challenge conventional thinking and bring fresh perspectives to client opportunities
  • You Will Be An Ideal Candidate If You Have:

  • A degree in Data Science, Statistics, Mathematics, Economics, Actuarial Science, Engineering or a related quantitative field
  • 2 to 5 years of experience in analytics, data science, consumer insights or market research
  • Experience working with large and complex datasets
  • Experience using SAS, SQL, Python, R or similar analytical tools
  • Experience using Power BI or similar dashboarding and visualisation tools
  • Strong analytical and problem-solving skills
  • An interest in consumer behaviour, behavioural economics and market dynamics
  • The ability to connect analytical outputs to real commercial outcomes
  • Strong communication and storytelling skills
  • You Will Have Access To:

  • Some of South Africa's richest consumer spending datasets
  • Opportunities to work directly with major corporate clients across multiple industries
  • Challenging business problems that require innovative thinking
  • Exposure to consumer research, behavioural analytics and commercial strategy
  • Opportunities to innovate, learn and grow within a highly analytical team
  • A collaborative environment where curiosity and experimentation are encouraged
  • We Can Be A Match If You Are:

  • Curious and constantly asking "why?"
  • Motivated by turning data into action
  • Interested in data wrangling, data analysis and data visualisation using large datasets
  • Energised by solving business problems and not just simply producing analysis
  • Passionate about understanding consumer behaviour and decision-making
  • Comfortable navigating ambiguity and exploring unstructured questions
  • Obsessed with uncovering insights that others miss
  • Confident engaging with stakeholders and discussing business strategy
  • Are you interested to take the step? We look forward to engaging with you further. Apply now!

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#RMB

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Important Closing Date Note

Take note that applications will not be accepted on the below date and onwards, kindly submit applications ahead of the closing date indicated below.

03/10/26

All appointments will be made in line with FirstRand Group’s Employment Equity plan. The Bank supports the recruitment and advancement of individuals with disabilities. In order for us to fulfill this purpose, candidates can disclose their disability information on a voluntary basis. The Bank will keep this information confidential unless we are required by law to disclose this information to other parties.

Skills Required

  • Degree in Data Science, Statistics, Mathematics, Economics, Actuarial Science, Engineering, or a related quantitative field
  • 2 to 5 years of experience in analytics, data science, consumer insights, or market research
  • Experience working with large and complex datasets
  • Experience using SAS, SQL, Python, R, or similar analytical tools
  • Experience using Power BI or similar dashboarding and visualization tools
  • Strong analytical and problem-solving skills
  • Interest in consumer behavior, behavioral economics, and market dynamics
  • Ability to connect analytical outputs to commercial outcomes
  • Strong communication and storytelling skills
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The Company
49,989 Employees
Year Founded: 1998

What We Do

FirstRand is a portfolio of integrated financial services businesses offering transactional, lending, investment and insurance products and services. The group seeks to build long-term franchise value and deliver superior, sustainable returns within acceptable levels of volatility. Its corporate centre houses key functions—including risk, compliance, governance, internal audit, treasury, finance and tax—that support the broader group and its operating businesses.

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