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

Apply Now

Head of Data Science

London
1 year ago
Applications closed

Related Jobs

View all jobs

Head of Data Science

Head of Data Science

Head of Data Science

Head of Data Science Technology (Product, Engineering, Design) · London ·

Head of Data Science

Head of Data Science

Role: Head of Data Science
Location: London (Hybrid)
Salary: £115,000-£120,000 (+bens +bonus)

83DATA are partnered with a fast growing scale-up consultancy focused on building the best AI applications for their clients across multiple industry verticals, They are currently building out their healthcare, telco and utilities domain.

They are offering a competitive salary, an attractive bonus package, and hybrid working. They are growing rapidly, and this role is vital to their further growth. You will be a significant member of the SLT, and be joining at the fore front of their continuous successes.

Responsibilities:

Collaborate hands-on with teams to solve complex problems, efficiently.
Provide visionary leadership to the analytics team, setting strategic
goals, and driving the development of innovative analytics solutions for our clients in the booming industry.
Collaborate with cross-functional teams to integrate data science and machine learning.
Work with clients and the commercial team to build and maintain a roadmap for new data products. Collaborate with product managers and stakeholders to define the technical strategy and product roadmap
Oversee the analysis of large-scale datasets, leveraging machine learning and statistical techniques to identify trends, patterns, and insights
Build and manage a high-performing team of data scientists, analysts, and consultants, fostering a collaborative and innovative work environment that encourages professional growth and excellenceRequirements:

Minimum of 8 years of experience in DS and analytics,
Experience in leadership role, successfully building dynamic, high performing teams.
Strong proficiency in statistical analysis, machine learning, data mining, and predictive modelling techniques.
Proficiency in programming languages such as Python or R is required.
In-depth understanding of the one of the relevant industry
Passion for driving technical excellence and innovation.
Advanced degree in a relevant field. If you are interested and qualified for this role, please click apply and submit your most up-to-date CV

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.

Jobs

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.

Jobs

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.

Jobs

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.