National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Science Manager

KDR Talent Solutions
City of London
1 week ago
Applications closed

Related Jobs

View all jobs

Data Science Manager

Data Science Manager - Marketing & Customer Generative AI Enterprise Architect (Basé à London)

Data Science Manager - Marketing & Customer Generative AI Enterprise Architect

Data Science Manager - Marketing & Customer Generative AI Enterprise Architect (Basé à London)

Data Science Manager

Data Science Manager

Data Science Manager – Pricing
Location: Hybrid (1–2 days/week in London)
Salary: £90,000-£110,000 + 20% Bonus + £6,000 Car Allowance + 6% Pension +more

Are you an experienced Data Science Manager with a passion for pricing strategy , machine learning , and commercial impact ? We're hiring on behalf of a major UK-based automotive group seeking a Data Science Manager to lead pricing analytics and shape the future of their data products.

This is a high-profile opportunity to head up a dedicated Valuations & Pricing team, delivering cutting-edge machine learning solutions that influence decision-making across a large, fast-moving business. You'll have access to vast datasets, modern tooling, and the support of experienced MLOps and Data Engineering teams – freeing you to focus on model innovation , business impact , and team leadership .

Key Responsibilities
Lead and coach a team of data scientists focused on pricing and valuation products.
Develop and deploy machine learning models that drive pricing accuracy and business performance.
Own the pricing analytics roadmap, aligning with senior stakeholders to prioritise and deliver key initiatives.
Work cross-functionally with Marketing and Operations data teams to extend the reach of data science across the organisation.
Collaborate with MLOps and Engineering teams to ensure seamless product delivery and integration.
Promote the use and value of pricing models to non-technical stakeholders through clear and effective communication.
Continuously improve the product lifecycle, model pipelines, and development processes to enable rapid innovation.

What We're Looking For
Essential Skills & Experience:
Proven track record in pricing analytics , valuation modelling , or similar domains.
Strong hands-on experience developing ML solutions in Python .
Experience managing and growing high-performing data science teams.
Ability to build and communicate complex solutions to stakeholders across different levels and disciplines.
Proficiency working with modern cloud-based tools (e.g., Azure ML , Databricks , Snowflake , SageMaker , etc.).
Deep knowledge of machine learning techniques including predictive modelling, pattern recognition, and optimisation.
Strong stakeholder management and product ownership skills.
Experience with CI/CD tools such as Azure DevOps Pipelines or GitHub Actions.

Desirable:
Exposure to Marketing Data Science (e.g., Marketing Mix Modelling, Multi-Touch Attribution) or Operational Research .
Experience working in an Agile development environment.

What You'll Gain
The chance to lead a strategically critical function with high visibility across the organisation.
Dedicated time and support to grow your skills as a people manager and strategic leader.
A flexible hybrid work model (Reading or London) and a collaborative environment.
A role where your models directly shape pricing, influence profitability, and deliver real commercial outcomes.
Support from seasoned MLOps and engineering teams – letting you focus on research, modelling, and innovation .

If you’re passionate about pricing science and ready to step into a leadership role where your work has real business impact, we’d love to hear from you.

Apply now or get in touch for a confidential discussion.

National AI Awards 2025

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.

AI Jobs Salary Calculator 2025: Work Out Your Market Value in Seconds

Why your 2024 salary data is already outdated “Am I being paid what I’m worth?” It is the question that creeps in whenever you update your CV, see a former colleague announce a punchy pay rise on LinkedIn, or notice a recruiter slide into your inbox with a role that looks eerily similar to your current one—only advertised at £20k more. Artificial intelligence moves faster than any other hiring market. New frameworks are open‑sourced overnight, venture capital floods specific niches without warning, & entire job titles—Prompt Engineer, LLM Ops Specialist—appear in the time it takes most industries to schedule a meeting. In that environment, salary guides published only a year ago already look like historical curiosities. To give AI professionals an up‑to‑the‑minute benchmark, ArtificialIntelligenceJobs.co.uk has built a simple yet powerful salary‑calculation formula. By combining three variables—role, UK region, & seniority—you can estimate a realistic 2025 salary band in less than a minute. This article explains that formula, unpacks the latest trends driving pay, & offers concrete steps to boost your personal market value over the next 90 days.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.