National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

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

Bristol
2 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Lead Data Engineer

Data Engineer

Data Science Manager

Data Science Manager

Sr Data Science Manager, Professional Services...

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

Salary: Negotiable up to £90,000 Dependent on Experience
Hybrid working - Bristol (2-3 days per week in the office)

Ref No: Ref J12952

Please note we can only accept applications from those with current UK working rights for this role, this client cannot offer visa sponsorship.

Our client is seeking to recruit a new Data Science Manager to lead data science initiatives and drive innovation in the healthcare industry. You'll have the opportunity to leverage your expertise in advanced analytics and machine learning within a dynamic and forward-thinking team, to shape the future of healthcare. The successful applicant will work on exciting Gen/AI, predictive and customer behaviour projects to name but a few. Proven leadership and communication skills with the ability to deliver value from data will be required.

Responsibilities
·Lead a small team of Data Scientists in developing and implementing advanced data analytics, machine learning and traditional and generative AI solutions, to address complex business challenges within healthcare sector.
·Collaborate with cross-functional teams to identify business opportunities, define data science strategies, and drive the development of innovative products and services.
·Oversee the end-to-end process of data collection, pre-processing, analysis, and model development to derive actionable insights and improve decision-making.
·Drive the development and deployment of scalable and efficient machine learning models and algorithms to enhance healthcare services and optimize business operations.
·Mentor and coach junior data scientists, fostering a culture of continuous learning, innovation, and excellence in data science practices.

Experience Required
·Good stakeholder communication skills with proven ability to translate complex scientific findings to non-technical stakeholders.
·In depth experience coaching and leading Junior Data Scientists within a Senior Data Science role.
·Demonstrable experience of developing complex AI projects with minimal supervision, working in line with best practices.
·Prove experience of extracting business value from data science methods using both quantitative and qualitative metrics.
·Strong mathematical and statistical background.
·Deep knowledge of Python and data science packages such as Scikit learn, Keras, Tensor flow, and PySpark.
·Experience and understanding of mixed technical teams such as engineering, architects, business analysts.
·Familiar with MLOps industry best practices.
·Understanding of the financial industry, in particular insurance, would be advantageous.

If you are interested in this opportunity get in touch today to find out more.

Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.

Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed) <(url removed)

National AI Awards 2025

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.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.