Data & ML Product Lead

Eden Smith Group
London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist - Optimisation

Data Analyst

Principal Data Analyst

Data Analyst

Data Analyst

Data Engineering Product Owner, Technology, Data Bricks, Microsoft

This is a fantastic opportunity to join a forward thinking Insurance business. My client is on a transformation journey to accelerate data driven decision making and AI capability and is looking to appoint a Data & ML Product Lead.


You will be responsible for leading the transformation of the data landscape through the implementation of the Enterprise Data Platform (EDP), ensuring modern, scalable data solutions are in place and deliver the expected benefits to business.


Job Opportunity: Data & ML Product Lead

Location: London / Horsham | Industry: Insurance

Are you passionate about driving innovation through data and machine learning? A leading organisation in the insurance industry is seeking aData & ML Product Leadto oversee the end-to-end lifecycle of transformative data and ML products. This is a unique opportunity to shape the future of data-driven decision-making within a dynamic and forward-thinking company.


Your Role

As theData & ML Product Lead, you will:

  • Define and Execute Strategy: Drive the vision and roadmap for data and ML products, aligning with business goals to deliver measurable value.
  • Oversee Product Lifecycles: Manage products from concept through deployment, ensuring continuous improvement and alignment with stakeholder needs.
  • Champion Governance: Establish governance frameworks to maintain data integrity, quality, and compliance across all products.
  • Collaborate Across Teams: Work with business stakeholders, data scientists, and technology teams to identify opportunities, launch impactful products, and foster adoption.
  • Measure Success: Develop KPIs and leverage feedback to refine and optimize product performance.
  • Standardise Delivery: Create frameworks to support efficient and scalable delivery of data products across the organization.


About You

We are looking for a visionary leader with:

  • Extensive Product Management Expertise: Proven success managing data and AI/ML products, preferably in financial services or insurance.
  • Technical Proficiency: Experience with tools like Azure and Databricks, and a strong grasp of data integration and advanced analytics.
  • Governance Leadership: Ability to implement robust frameworks that uphold regulatory and quality standards.
  • Collaborative Influence: Exceptional skills in engaging and inspiring senior stakeholders and cross-functional teams.
  • Agile Mindset: A track record of delivering in Agile environments, with a focus on iterative development and innovation.
  • Strategic Vision: The ability to define and execute a strategy that aligns with business priorities and drives meaningful outcomes.


Why Join Us?

This is your chance to lead a high-impact area at the intersection of data, machine learning, and business strategy. Be part of a team that values innovation, collaboration, and the transformative power of data.


Base Salary

£90k-£100k + Bonus & Benefits


Ready to shape the future of data in the insurance industry?Apply now to lead, innovate, and make a lasting impact.

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.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.