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

Apply Now

Analytics and Data Science Lead

Heathrow
9 months ago
Applications closed

Related Jobs

View all jobs

Data Science/Analytics Lead – Private Credit/Asset Based Finance/Securitization

Data Science/Analytics Lead – Private Credit/Asset Based Finance/Securitization

Data Science Lead

Head of Data Science

Head of Data Science

Head of Data Science Data Analytics Business Intelligence · London ·

Analytics and Data Science Lead
Negotiable to £70,000 DOE plus generous bonus potential + benefits
Full time/Hybrid working: 3 days inTW6, Middlesex offices & 2 days homer/remote
Job Reference J12908

Full UK working rights required/no sponsorship available

THE ROLE
Looking for a challenge in one of the world's largest airfreight logistics organisation and a FTSE 100 company?

A new role due to the growth of the use of, and influence of, analytics function within the business and the focus for this Analytics and Data Science Lead role being on commercial performance.

Become a vital part of a passionate team who are enabling the business to make critical business decisions using leading edge data analytics. Bring a new perspective on data and how it can be used to solve challenges across the organisation. Your output will be essential in enabling insight driven decision-making within the business.

The role involves managing a small team (c4) to deliver leading edge data exploitation, analysis and modelling. Your team will own a portfolio of reports, models and dashboards, provide analytical expertise and act as champions for data development needs. You will lead the team to deliver robust and reliable data and advanced analytical solutions for the business and maintain the quality of management information through continuous improvement.

The analytics and data science lead should have a strong enthusiasm for problem solving and a passion for data. They will be expected to provide analytical expertise, seek to identify data gaps and proactively develop the data agenda in line with business priorities as well as challenge business leaders to become truly data driven. A positive thinker with plenty of curiosity would be ideal for this role.

PERSON SPECIFICATION
Skills
• Effective at people management
• Highly analytical, logical, creative thinker
• Proven ability to structure problems
• Able to refine and clarify vague requirements
• Experienced in delivering metrics, analyses, visualisations, and statistical models
• Ability to lead the direction of analytical projects
• Can prioritise workloads and manage tight deadlines
• Strong stakeholder management, influencing and interpersonal skills
• Ability to communicate and present to all levels
• Interpretation and analysis of business performance to inform decision making
• Applies statistics to summarise data, identify trends, forecast, and predict outcomes
• Project management and planning
• Highly effective team worker
• Strong business acumen and commercial awareness
• Technical skills: Data analysis, visualisation, statistical modelling, predictive analytics.

Experience
Essential Experience
• Analysing complex issues, packaging findings and presenting effectively to stakeholders
• Managing databases and/or blending data
• Designing data for management information purposes
• Leading the direction of analytical projects
• Working knowledge of data engineering pipelines
• Hands on programming experience
• Visualising data and presenting trends and findings for broad audiences

Desirable Experience
• Creating and using numerical models and solving optimisation problems
• Tableau Certified
• Use of cloud-based data tooling e.g. AWS S3, Snowflake
• Working knowledge of Spanish
• Use of specific analytical tools: Tableau, SQL, Python, Business Objects

If you would like to hear more, please do get in touch.

Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.

Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website: (url removed)

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 to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.