Data Science Manager

ADLIB Recruitment | B Corp
Bristol
4 days ago
Create job alert

AI Innovation, Leadership role

  • Lead real-world AI projects in healthcare
  • Blend hands-on coding with team leadership
  • Work across GenAI, ML & commercial strategy


We’re working with a market-leading health-focused organisation that’s using cutting-edge data science and AI to reshape how people access and experience healthcare. They’ve built a strong data science function that’s now growing again—this time with a key leadership role.


What you’ll be doing:

They’re looking for a Data Science Manager to lead a small but strong team across a range of live and upcoming projects spanning traditional AI, GenAI and machine learning. The environment is genuinely collaborative, with a healthy investment in tools, learning, and innovation. This role offers the rare opportunity to stay hands-on with the tech while also stepping into a strategic leadership position with strong support from above.


You’ll be responsible for managing and mentoring a team of four data scientists working on complex data challenges with real-world impact. You’ll be involved in projects across multiple domains—ranging from pricing optimisation and claims management to customer behaviour modelling and new GenAI initiatives.


Day to day, you’ll split your time between technical delivery, people leadership, and cross-functional collaboration. You’ll be the person who can understand the scientific complexity but communicate its value clearly to non-technical stakeholders, helping drive commercial outcomes from data insights. The role will report into an experienced leader who’s happy to give you room to lead while offering support as needed.


There’s also a strong emphasis on upskilling and internal learning. Think regular hackathons, dedicated learning time (two hours every week), and a real culture of investing in the team.


What experience you’ll need to apply:

  • Currently working as a Data Science Manager, Lead Data Scientist or similar
  • Proven experience leading or mentoring data scientists within a commercial environment
  • Experience working on GenAI/MLOps and similar projects
  • Solid background delivering AI/ML projects end-to-end, with real business impact
  • Hands-on Python skills including libraries like Scikit-learn, TensorFlow, Keras, and PySpark
  • Strong understanding of model deployment and MLOps best practices
  • Ability to work with real-world, unbalanced and messy datasets
  • Skilled in translating technical work into insights for non-technical stakeholders
  • Experience working across cross-functional teams (engineers, architects, analysts)
  • Sector experience in healthcare, finance or insurance is beneficial but not essential


What you’ll get in return:

  • Up to £90,000 basic salary depending on experience
  • Annual bonus linked to company and personal performance
  • Great pension, life assurance and more!
  • Hybrid working – typically 2–3 days per week


What’s next?

Apply with your updated CV and we’ll be in touch to talk through the opportunity in more detail. Any questions in the meantime? Drop Tegan a message – happy to chat it through!

Related Jobs

View all jobs

Data Science Manager

Data Science Manager – Gen/AI & ML Projects - Bristol

Data Science Manager - Insurance (Propensity models)

Data Science Manager (Metaheuristics)

Data Science Manager – Gen/AI & ML Projects

Manager (Data Science)

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.

Jobs

AI Jobs in the Public Sector: MOD, NHS & Gov Digital Service Opportunities

Artificial intelligence (AI) has rapidly evolved from a niche field of computer science into a transformative force reshaping industries across the globe. From healthcare to finance and from education to defence, AI-driven tools and techniques are revolutionising how we approach problems, improve efficiency, and make data-driven decisions. Nowhere is this transformation more apparent than in the United Kingdom’s public sector. Key government entities, including the Ministry of Defence (MOD), the National Health Service (NHS), and the Government Digital Service (GDS), are increasingly incorporating AI into their operations. Consequently, AI jobs within these bodies are growing both in number and strategic importance. In this comprehensive blog post, we will explore the landscape of AI jobs across the UK public sector, with a close look at the MOD, the NHS, and the Government Digital Service. We will delve into the reasons these organisations are investing heavily in AI, the types of roles available, the essential skills and qualifications required, as well as the salary ranges one might expect. Whether you are a new graduate keen to make a meaningful impact through your technical skills or a seasoned professional looking for your next career move, the public sector offers a wealth of opportunities in AI. By the end of this article, you will have a clearer understanding of why AI is so crucial to the public sector’s success, which roles are in demand, and how you can tailor your application to stand out in a competitive and rewarding job market.

Jobs

Contract vs Permanent AI Jobs: Which Pays Better in 2025?

n the ever-evolving world of technology, the competition for top talent in artificial intelligence (AI) is intense—and the rewards are significant. By 2025, AI roles in machine learning, natural language processing, data science, and robotics are expected to be among the highest-paid professions within the UK technology sector. As an AI professional, deciding between contracting (either as a day‑rate contractor or via fixed-term contracts) and permanent employment could drastically impact your take‑home pay, job security, and career trajectory. In this article, we will delve into the various types of AI roles in 2025—particularly focusing on day‑rate contracting, fixed-term contract (FTC) roles, and permanent positions. We will compare the earning potential across these three employment types, discuss the key pros and cons, and provide practical examples of how your annual take‑home pay might differ under each scenario. Whether you are already working in AI or looking to break into this booming field, understanding these employment options will help you make an informed decision on your next move.

🍪 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.