Data Scientist Manager

Our client is a UK digital technology and software consultancy.

Join our client and Shape the Future

Were problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether were transforming digital services for millions, delivering cutting-edge Workday solutions, or pushing the boundaries of technology, we do it together.

We believe in a people-first culture, where your ideas are valued, your growth is supported, and your contributions truly make a difference. Here, youll be part of a diverse, ambitious team that celebrates creativity and collaboration.

Ready to make your mark? Join us and be part of something bigger.

JOBPROFILE DESCRIPTION

OUR CLIENT is recognised as one of the UKs leading AI and data businesses, with a decade-longtrack recordof delivering impactful, production-grade AI solutions for clients across government, healthcare,defenceand commercial sectors. Our client is at the forefront of AI innovation,trusted by Microsoft, AWS,andothersto deliver advanced AIand datasolutions atcitizenscale.

Our 150-strong AI and DataPracticebringstogether deepexpertisein machine learning, generative AI, agenticAIand data. We are pioneers in responsible AI, having authored the UK governments AI Cyber Security Code of Practice implementation guideand we partner with leading organisations to ensure AI is deployed ethically, securely and with measurable business value. Our teams are at thecutting edgeof AI research, and delivery, it is truly an exciting team to join our client as we further grow our AI capability.

MAIN PURPOSE OF THE ROLE&RESPONSIBILITIES IN THE BUSINESS:

As a Data Scientist Manager at our client,youllbe responsible forsuccessful delivery of advanced AI solutionsleveragingstate-of-the-artmachine learning, generative and agentic AI technologies.You will drive the adoption of modern AI development and scalable cloud-native architectures. Your role will involve technical leadership, engaging with senior stakeholders to agree architectural principles, strategicdirectionand system architecture. As a technical leader within our client and wider industry, you will foster a culture of innovation, continuous learning,and engineering excellence.

You will manage,coachand develop a team, with a focus on development of standards and policies, enduring customer relationships and embedding commercial acumen.Youwillalso provide direction and leadership for your team as you solve challenging problems together.

MINIMUM(ESSENTIAL)REQUIREMENTS:

• A minimum of a 2.1 degree in Computer Science, AI, Data Science, Statistics or in a similar quantitative field.

• Proven experience of leading multi-disciplinary teams to deliverhigh qualityAI/ML solutions.

• Demonstrable experience oftechnical leadership for AI delivery including architecture, product designprinciplesand engineering excellence.

• Have a deep understandingand developingof AI/ML models, including time series, supervised/unsupervised learning, reinforcement learningand LLMs.

• Experience with the latest AI engineering approaches such asprompt engineering, retrieval-augmented generation (RAG)and agentic AI.

• Strong Python skills with a grounding in software engineering best practices (CI/CD, testing, code reviews etc).

• Expertisein data engineering for AI: handling large-scale, unstructured, and multimodal data.

• Understanding of responsible AI principles, modelinterpretabilityand ethical considerations.

• Strong interpersonal skills with the ability to lead client projects, manage C-level stakeholdersandestablishrequirements/architecture concepts.

• We are passionate about developing people, you will bring experience in managing,coachingand developing junior members of a team and wider community.

DESIRABLE:

• Demonstrable experience with modern deep learning frameworks (e.g.PyTorch, TensorFlow),fine-tuning or distillation of LLMs (e.g. GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn,XGBoost).

• Experience with data storage for AI, vector databases, semanticsearchand knowledge graphs.

• Actively contributes to open-source AI projects, researchpublicationsand industry events/websites.

• Familiarity with AI security, privacy, and compliance standards e.g. ISO42001.

Embracing our differences

We believe in the power of diversity, equity and inclusion. We are committed to building a team that is as diverse as the world we live in, where everyone is valued, respected, and given an equal chance to thrive. We actively seek out talented people from all backgrounds, regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other characteristic that makes them who they are. We also believe every candidate deserves a level playing field.

Our friendly talent acquisition team is here to support you every step of the way, so if you require any accommodations or adjustments, we encourage you to reach out.

We understand that everyone's journey is different, and by having a private conversation we can ensure that our recruitment process is tailored to your needs.