Data Scientist (Optimisation)

Vivo Talent; City Of London; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A fast-growing UK start-up is seeking a Senior Data Scientist to work on optimisation projects from end to end. Responsibilities include developing optimisation models and building scalable data pipelines. The ideal candidate has an MSc/PhD in a relevant field and proven experience in applying optimisation in production. This role offers a competitive salary of £70K-90K, hybrid working, private healthcare, and additional benefits.

Benefits

Private healthcare & wellbeing support

Learning & development budget

Equity options

Qualifications

• Proven experience applying optimisation in production.
• Strong engineering skills and cloud experience preferred.
• Ability to mentor junior scientists.

Responsibilities

• Develop and deploy optimisation models.
• Build scalable pipelines using engineering practices.
• Integrate optimisation models into live products.

Skills

Mathematical optimisation

Python engineering

Strong communication skills

ML frameworks understanding

Education

MSc/PhD in Operations Research, Applied Maths, Computer Science

Tools

Pyomo

Gurobi

PuLP

Job description

Senior Data Scientist / Optimisation / £70K 90K / London (Hybrid / 2 days in office)

A fast-growing UK start-up is looking for a Senior Data Scientist expertise in mathematical optimisation and strong engineering skills. This is a chance to own projects end-to-end, from framing complex business problems to deploying production-ready solutions that drive real-world impact.

What you ll be doing:

• Develop and deploy optimisation models (LP, MIP, heuristics, RL, etc.)
• Build scalable pipelines using best-in-class engineering practices (CI/CD, testing, containerisation)
• Integrate optimisation models into live products and client platforms
• Collaborate closely with engineers and product teams
• Mentor junior scientists and promote modelling best practices

What we re looking for:

• MSc/PhD in Operations Research, Applied Maths, Computer Science, or related field
• Proven experience applying optimisation in production (Pyomo, Gurobi, PuLP, etc.)
• Strong Python engineering background, ideally with cloud experience (GCP preferred)
• Solid understanding of ML frameworks to complement optimisation
• Strong communication and collaboration skills

The offer:

• Hybrid & flexible working (2 days per week in Central London)
• £70K - £90K base + equity options
• Private healthcare & wellbeing support
• Learning & development budget

This is a fantastic opportunity to join a growing start-up shaping the future of operational decision-making through advanced optimisation and AI.

If you re interested, reach out for a confidential chat or click apply!