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

Apply Now

Data Science Manager (Remote)

Switch Tech Talent
London
1 day ago
Create job alert

Senior Data Scientist Central London - remote first, meet up twice a month
70,000-80,000 + 10% bonus
Python, Cloud, Independent Model Creation

As the Senior Data Scientist , you will play a pivotal role in shaping how data-driven insights inform key commercial decisions across a dynamic and evolving business.

You will have full ownership over independent model ideation/creation, with the immediate focus being to help deliver pricing models (no prior experience needed), utilising guest data, and then will introduce the latest AI features/tools as well as other greenfield models/projects. You'll need experience creating a variety of models.

The position offers flexibility, with the team typically meeting in London twice a month . Applicants across the UK are welcome, provided they can travel to London for these collaborative sessions.

The Role
As the Senior Data Scientist, you will apply advanced data science techniques to enhance pricing strategies and forecasting accuracy. You will take ownership of developing, implementing and refining variable pricing models and forecasting tools , working closely with revenue management and other commercial teams.
This is a hands-on, creative role requiring both technical depth and commercial insight. You should be comfortable designing and building models independently , while also collaborating with a range of stakeholders to translate analytical findings into practical business solutions.

Senior Data Scientist Key Responsibilities
Design, develop, and refine data science models focused on pricing optimisation and demand forecasting.
Use statistical and machine learning techniques to support commercial and operational decision-making.
Create and maintain data assets that can be understood and applied across both technical and non-technical teams.
Collaborate with business and technical partners to embed data-driven methods into core processes.
Continually explore creative ways to use diverse data sources to improve model performance and business impact.

Senior Data Scientist Skills and Experience
Essential
Experience creating a variety of models, independently e.g. without support/approval.
Proficiency in Python and core data science libraries.
Experience working with large and varied datasets.
Excellent communication skills, able to explain technical work to non-technical stakeholders.
A creative, inquisitive mindset and the ability to innovate through data.
Comfortable working both autonomously and collaboratively in a fast-paced environment.

Related Jobs

View all jobs

Data Science Manager

Data Science Manager

Data Science Manager

Data Science Manager

Data Science Manager

Data Science Manager

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.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

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.

Jobs

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.