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

Head of Data Science

Head of Data Science, AI and Data Visualisation

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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.