Data Scientist

X, bigly labs; Johannesburg; On-site; ZAR 500 000 - 700 000; Full time

Job summary

A leading healthcare innovation firm in Gauteng, Johannesburg is seeking a Data Scientist to provide actionable insights and advanced analytics to enhance commercial decision-making. The ideal candidate will be experienced in data science, proficient in Python and PySpark, with a strong problem-solving mindset. Responsibilities include building predictive models, managing data pipelines, and collaborating with commercial teams. This role promises an exciting opportunity for those looking to impact healthcare positively.

Qualifications

• Bachelor’s degree in Mathematics, Statistics, Computer Science, or Engineering.
• Solid experience in data science or analytics roles.
• Proficient in Python and PySpark.
• Experience in the retail or consumer sector is advantageous.
• Exposure to Power BI or similar BI tools is a plus.

Responsibilities

• Build and deploy predictive models and analytics solutions.
• Design and manage scalable data pipelines.
• Collaborate with commercial teams to translate needs into analytical solutions.
• Track the business impact of pricing and promotional changes.
• Present insights and recommendations clearly.

Skills

Data Science

Python

PySpark

Critical thinking

Problem-solving

Education

Bachelor's degree in a quantitative field

Honours or Master’s degree

Tools

Power BI

Job description

We are X, bigly labs, Dis-Chem’s high-performance innovation hub; a place where bold ideas meet data, design, and radical customer focus to reimagine what healthcare can be.

Our mission is to power the future of healthcare by lowering costs, unlocking new possibilities, and improving access to healthcare for all South Africans. We do this through cutting‑edge digital solutions that deliver smarter, more human, and truly patient‑focused experiences. Here, your work is not limited to a whiteboard; it becomes real. It drives decisions, shapes experiences, and moves healthcare forward. We are driven by one big question: How do we use data and today’s technology to build breakthroughs to better health?

There’s only one question left: are you ready to make healthcare smarter, and actually mean it?

Purpose of role

From retail and pharmacy to clinics, insurance and beyond, we’re applying machine learning and smart systems to reimagine healthcare pathways and create personalised experiences at scale. Here, your work doesn’t sit in a notebook or on a whiteboard. It becomes real. It shapes decisions. It improves lives. And we do it all the Bigly way, questioning, challenging, and building audaciously, together.

As a Data Scientist you will deliver actionable insights and advanced analytics that enhance commercial decision‑making across pricing, promotions, and assortment planning in a retail environment.

What we’re looking for?

Essential

• Bachelor’s degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Engineering).
• Solid experience in data science or analytics roles.
• Proficient in Python and PySpark.

Advantageous

• Honours or Master’s degree.
• Experience in the retail or consumer sector.
• Exposure to Power BI or other BI tools.
• Background in pricing, promotion, or assortment optimization.

What you will be doing?

• Build and deploy predictive models and analytics solutions.
• Design and manage scalable data pipelines.
• Collaborate with commercial teams to translate business needs into analytical solutions.
• Track and measure business impact of interventions (e.g., pricing, promo, or assortment changes).
• Present insights and recommendations clearly and concisely.

Who you are?

• Strong problem‑solver with critical thinking abilities.
• Able to break down complex problems into solvable components.
• Curious and have a continuous improvement mindset.

Our values show up in how we think, build, and make choices that make an impact. We are building a culture that drives progress; one that fixes friction, chases what changes, and owns the outcome. We design with tomorrow in mind, ask sharper questions, and answer them with care, urgency, and systems that scale.

Think you’ve got energy, curiosity, and guts? Come hold the space, make it matter, and own a breakthrough.