Lead Data Scientist

Farringdon, Greater London
1 month ago
Applications closed

Related Jobs

View all jobs

Lead Data Scientist

Lead Data Scientist / Tech Scale Up / £120,000

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

HIRING: Lead Data Scientist, London Hybrid £90,000 > Tech for Impact & Consultancy focus 🩺

I'm looking for a Lead Data Scientist to join my client to shape and deliver high impact data science and AI solutions across healthcare and consultancy. This is a senior, hands on leadership role for someone who thrives in a consulting environment, works confidently with clients, and enjoys turning complex data into real world impact.

Requirements of the role:

🩺 Lead the design and delivery of advanced analytics, ML and AI solutions for healthcare clients and internal teams;
🩺 Partner with consultants and clients to translate business challenges into data driven solutions;
🩺 Drive data science strategy and innovation, spotting new opportunities and emerging technologies;
🩺Provide technical leadership, mentoring and quality assurance within a growing data team; and
🩺Support business development, proposals and client pitches

Your skillset:

🩺 Senior data scientist with consultancy experience;
🩺 Strong python and statistics skills;
🩺 Experience deploying models using cloud platforms and containerisation
🩺 Clear understanding of data privacy, governance and GDPR (ideally in healthcare); and
🩺 Ability to communicate to non-technical audiences

Desirable:

🩺 Experience in healthcare or life sciences;
🩺 Knowledge of AI and/or big data technologies

If you're looking for a Lead role working on meaningful healthcare challenges with real impact, with a flexible working structure within a collaborative high performing culture, then this could be the role for you! 💯

Salary: £90,000 - £100,000
3 Days in office 2 days from home 🏅

If you're keen to discuss further, then drop me your CV AND contact number to (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.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.

Data Science Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Thinking about switching into data science in your 30s, 40s or 50s? You’re far from alone. Across the UK, businesses are investing in data science talent to turn data into insight, support better decisions and unlock competitive advantage. But with all the hype about machine learning, Python, AI and data unicorns, it can be hard to separate real opportunities from noise. This article gives you a practical, UK-focused reality check on data science careers for mid-life career switchers — what roles really exist, what skills employers really hire for, how long retraining typically takes, what UK recruiters actually look for and how to craft a compelling career pivot story. Whether you come from finance, marketing, operations, research, project management or another field entirely, there are meaningful pathways into data science — and age itself is not the barrier many people fear.