Data Scientist
Listed on 2026-01-06
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IT/Tech
Data Scientist, Machine Learning/ ML Engineer
Data Scientist - Change the Game with Data!
Location: Sandton, Johannesburg, SA Hybrid |
Salary: Competitive (because you're worth it!)
You live for data. Numbers, patterns, and algorithms don't just talk to you, they practically sing. If you have experience wrangling data, uncovering insights, and building advanced models from traditional ML to generative AI then this is your opportunity to make a real impact.
Our client is a specialist in change management projects, bridging the divide between business stakeholders needs and complex systems. We are on the hunt for a Data Scientist who isn't just about the numbers, but about making real impact.
What you’ll be up to:- Solving complex industry specific problems.
- Crunch, clean, and conquer: process and analyse complex data sets.
- Predict the future: build machine learning models that drive business decisions.
- Data storytelling: translate insights into clear, actionable strategies.
- Experiment, iterate, innovate: test hypotheses and improve model performance.
- Collaborate: work with business and tech teams to turn data into gold.
- Work with senior stakeholders and cross-functional teams to turn complex challenges into smooth solutions.
- Bringing fresh ideas to the table and challenging the status quo.
- Relevant bachelors degree, with strong preference for a post graduate qualification.
- 3+ years of hands‑on experience in data science, analytics, or machine learning.
- Relevant software and programming skills with tools such as SQL, SAS, Python and data visualisation tools.
- Strong grasp of statistics, AI, and predictive modelling.
- Proficiency in machine learning frameworks (e.g., Tensor Flow, PyTorch, scikit‑learn, Lang Chain).
- Hands‑on Data Engineering & MLOps experience—Moving models from concept to production.
- Certifications in machine learning, AI, or cloud‑based analytics bonus points!
- A strategic thinker who knows when to follow the rules and when to rewrite them.
- The ability to speak both business and tech fluently.
- Strong stakeholder management skills aka, you can talk process without putting people to sleep.
This is your chance to step outside your comfort zone and level up your career. If you're ready to turn raw data into real impact, lets talk!
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