Analytics and Data Science Lead

Heathrow
11 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Scientist

Lead Full-Stack Data Scientist (Hybrid London) - Equity

Machine Learning and AI Engineering Lead

Machine Learning and AI Engineering Lead

Managing Consultant - Transport - Data Science

Benefit Risk Management Center of Excellence Data Scientist

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 Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.