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

Apply Now

Lead Data Scientist

City of London
4 days ago
Create job alert

Partnered with a global Legal Services orgnisation who are searching for Permanent Lead Data Scientist to play a key role within the Product Function leading the development of enterprise grade Data solutions and advanced analytics capabilities.

Scope of role:

Play a key role to developing firms AI strategy and roadmap.
Develop and implement Data Science and analytics use cases aligning Business priorities.
Design and deploy predictive models and AI/ML prototypes
Buils robustand interpretable models for forcasting, clustering and optimisation.
Act as the Lead on solution design and prototyping of advanced analytics solutions.
Enable good governance principles across analytics delivery.Experience required:

Experienced in delivering end to end Analytics Solutions.
Strong Python, SQL, PowerBI.
Legal or regulatory background preferred.
Stakeholder experience, comfortable dealing with various Senior level stakeholders.
Experience leading teams or technical projects.

If this opportunity aligns with your background and career aspirations please share your details to (url removed) , your latest CV and availability for a call

Related Jobs

View all jobs

Lead Data Scientist

Lead Data Scientist - Remote

Lead Data Scientist - Remote

Lead Data Scientist

Lead Data Scientist - Remote

Lead Data Scientist - Remote

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 Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.