Analytics Director - Data Science

DATAHEAD

London

3 months ago

Applications closed

Related Jobs

View all jobs

Director/Snr Director, Data Science Consulting - Machine Learning/Artificial Intelligence (ML/AI)

Senior Data Scientist

Associate Director, Data Science - Market Access

Director, Data Science - Measurement & Optimization

Engineering Manager - MLOps & Analytics

Data Scientist II, PLS Analytics

Claims Analytics Senior Manager (Fortune 500 FS/Insurance Firm) Location: London (Hybrid 2 days in office)
Salary: Up to 125,000 base + 20% bonus + excellent benefits

Be the architect of a new Claims Analytics function.

Were partnered with a Fortune 500 financial services firm seeking an experienced Claims Analytics Senior Manager to design and establish a best-in-class analytics capability that transforms how claims and underwriting decisions are made.

In this newly created position, youll work closely with claims leadership to build an analytics framework from the ground up delivering insights that drive performance, operational efficiency, and smarter strategic decisions across the international portfolio.

Lead the design and development of the Claims Analytics framework, defining key performance and operational metrics.
Deliver actionable insights through claims portfolio and operational analytics to inform underwriting and process improvement.
Partner with in-house data science teams to develop predictive models and advanced analytics tools.
Collaborate with underwriting, actuarial, and claims operations teams to enhance MI reporting and KPI dashboards.
Ensure robust data governance and integrity across all claims datasets.
Strong background in data science and analytics, with experience developing and deploying statistical or machine learning models.
Advanced skills in Python or R and SQL, with experience using Power BI or Tableau for data visualisation.
Proven ability to translate complex data into clear, actionable business recommendations.
Prior exposure to insurance or claims environments, ideally within the London Market or specialty lines.
Experience building or scaling analytics functions is highly desirable.

Work for a global Fortune 500 organisation known for empowering innovation in data and analytics.
Lead a high-impact initiative with direct visibility at executive level.
Enjoy a collaborative, hybrid environment with world-class benefits including 25 days holiday (plus bank holidays), pension, private medical, and a 20% performance bonus.

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

Industry Insights

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

Feb 9, 2026

Careers

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

Feb 2, 2026

Jobs

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

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

Jan 23, 2026

Education

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.