Junior Data Scientist

Junior AI Data Scientist – Master’s Graduate Role (High-Impact, Product-Focused)

Location: London (Hybrid)

Salary: £35,000 – £45,000 + Bonus + Benefits

Start Date: ASAP

The opportunity

If you’re a top Master’s grad who wants to work on real production problems (not endless dashboards), this is a chance to join a high-performing group delivering machine learning and applied AI into live environments.

You’ll work on projects like prediction, optimisation, anomaly detection, and intelligent automation—owning meaningful pieces of the pipeline and seeing your work drive outcomes.

Expect high standards, strong mentorship, and the space to move quickly.

What you’ll work on

• Build and improve ML/AI models that solve measurable business problems
• Take ownership of end-to-end workflows: data ingestion → feature engineering → modelling → evaluation → deployment
• Run experiments, quantify impact, and iterate fast (including A/B testing where appropriate)
• Partner with engineering and product to design scalable, reliable solutions
• Communicate clearly: turning complex modelling into decisions stakeholders can act on
• Contribute to internal R&D: new approaches, paper-to-production exploration, model performance reviews

What makes this role different

• Production mindset: you’ll learn how to deliver models that are monitored, reliable, and used
• High-calibre environment: collaborative, ambitious team with strong technical bar
• Ownership early: you’ll ship real work within weeks, not months
• Growth runway: mentorship, code reviews, clear progression, and exposure to modern ML tooling

What we’re looking for

• A recently completed Master’s degree (Russell Group preferred) in Data Science, Computer Science, Mathematics, Physics, Engineering, or similar
• Excellent Python skills and ML foundations (e.g. pandas, NumPy, scikit-learn; strong coding practices matter)
• Strong grasp of model evaluation, statistics, and experimentation
• Confident working with data at scale using SQL (and a practical approach to messy data)
• Curiosity, speed, and pride in quality—someone who enjoys digging into hard problems
• Strong communication skills and willingness to collaborate across teams
• Full right to work in the UK (no visa sponsorship available)

Nice to have (not required)

• Deep learning exposure (PyTorch / TensorFlow)
• Cloud experience (AWS/GCP/Azure)
• Familiarity with MLOps concepts (monitoring, CI/CD, Git, Docker)
• Experience with NLP, time series, recommender systems, or optimisation

Benefits

💰 £35,000 – £45,000 + bonus

🏡 Hybrid working (London)

📈 Mentorship + progression: structured development, training budget, regular feedback

🛠 Modern stack: current ML tooling, good engineering practices, and time to do things properly

✨ Perks: pension, private healthcare, wellbeing initiatives

How to apply

Send your most up-to-date CV and we’ll arrange an initial call ASAP.