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

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.

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.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.