Senior Data Scientist – Optimisation Engineering

Location: London (Hybrid): 1–2 days per week in Central London office

Company: Predyktable Ltd

About Predyktable

Predyktable is a UK-based AI startup transforming workforce and operational planning across logistics, retail, and hospitality. Our platform combines demand forecasting with advanced optimisation to help organisations cut costs, boost resilience, and enhance employee performance. By integrating real-time external signals with client data, we deliver foresight and actionable recommendations at scale - enabling smarter, faster decisions in dynamic environments.

The Role

We’re looking for a Senior Data Scientist with deep expertise in mathematical optimisation and strong engineering skills to design, build, and deploy production-grade solutions. You’ll own projects end-to-end - from framing complex business problem, to embedding algorithms into live systems, to mentoring junior team members. This is a unique opportunity to make a tangible impact in a fast-moving UK startup environment.

What You’ll Do

• Develop and deploy optimisation models (LP, MIP, Genetic, Heuristics, Metaheuristics, RL).
• Build scalable, production-ready pipelines with robust engineering practices (CI/CD, testing, containerisation).
• Collaborate with engineers and product teams to integrate optimisation into client-facing platforms.
• Use ML/DL/RL selectively (e.g. forecasting, clustering) to support optimisation.
• Mentor junior scientists and ensure best practices in modelling and coding.
• Translate outputs into clear business insights for stakeholders.

What We’re Looking For

• MSc/PhD in Operations Research, Applied Mathematics, Computer Science, or related field.
• Proven experience with optimisation methods (LP, MIP, Genetic, Heuristics, Metaheuristics, RL) in production environments and tools such as Pyomo, Gurobi, PuLP and custom solver integrations.
• Strong Python engineering skills; experience with cloud (GCP preferred) and containerisation.
• Familiarity with ML frameworks (scikit-learn, XGBoost, TensorFlow) as a complement to optimisation.
• Experience in logistics, retail, or hospitality a plus.
• Strong leadership, mentoring, and communication skills.

Right to Work

Candidates must have the legal right to work in the UK. Unfortunately, we are unable to provide visa sponsorship for this role.

Benefits

• Hybrid & Flexible Working: Work remotely with 1–2 days per week in our Central London office.
• Competitive Compensation: Salary package aligned with experience and impact.
• Equity Options: Opportunity to share in the company’s growth.
• Learning & Development: Budget for training, conferences, and personal growth.
• Health & Wellbeing: Private healthcare, mental health support, and wellness allowance.
• Generous Leave: 25 days annual holiday plus bank holidays.

Our Values

Empathy

People are complex; every single one of us is different and has different needs at work and home. We encourage and embrace a workplace which is tolerant. A place where people listen to one another's needs, a place of understanding and a safe place which promotes positive mental health. Well-being at work and home is non-negotiable.

Diversity

We love building our team of amazing humans from all different backgrounds. We know diversity and inclusivity strengthens our proposition, brings new angles, introduces fresh thinking and enriches us all.

Creativity

Innovative data science businesses are driven by creative thinking. All the data in the world is pointless without the ideas and creative skillset to identify how it could benefit organisations or people. Creativity fuels new ways of working, problem solving and ensures we remain relevant.

Fairness

At Predyktable we want every single decision made by every single person in the company to be done with honesty and fairness at its heart. Being fair with each other and all those we engage with in business is often overlooked but is hugely powerful. We all want fairness in life. Fairness drives ethical decisions and has truthfulness and integrity at its core. Being fair builds trust.