Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Data Scientist

Grosvenor Square
1 day ago
Create job alert

Senior Data Scientist (Optimisation)

Hybrid (2/3 office split) | London

£80k–£90k + Share options + Additional benefits

The business

This is a fast-growing AI technology company of around 15 people, building cutting-edge predictive and optimisation solutions for real-world operational challenges.

The data team you'll be joining is at the centre of their platform which powers smarter workforce planning, scheduling and supply chain decisions for the clients they support.

The role

They're looking for a Senior Data Scientist with a passion for optimisation and operations research to help take the platform to the next level. There is a strong focus on mathematical modelling and utilising ML and AI technologies to help further scale systems.

Key responsibilities

Design and improve optimisation algorithms for staff scheduling and warehouse workforce planning
Develop mathematical models and optimisers (beyond standard ML approaches)
Evolve the existing optimiser into a scalable, production-ready system
Write production-quality Python code and collaborate closely with engineers and other data scientists
What they're looking for

Strong Python skills (critical)
Hands-on experience with optimisation/operations research / mathematical modelling
Background in supply chain or workforce planning (desirable)
Ability to build and ship production-level components, not just analytical prototypes

If this sounds like you and you would like to know more details, please apply now

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist - Consumer Behaviour - exciting ‘scale up’ proposition

Senior / Lead Data Scientist - AI Agents - Outside IR35

Senior Data Engineer

Senior AWS Data Engineer - London - £125,000

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.