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

Nominate & Attend

Principal Data Scientist (Manager) - Remote

ZipRecruiter
Bolton
6 days ago
Create job alert

Job Description

Principal Data Scientist (Manager) - Remote

Remote Working - UK Home-based with very occasional travel into the office

£52,737 - £66,197 ( Framework) or £58,409- £71,869 (London Framework – if you are London office based or homebased and live within the boundary of the M25)

Plus an additional allowance (paid as a separate amount to salary) of up to £7000 for exceptional candidates.

There is also an additional homeworking allowance of £581 per annum for those working from home.

Job Ref: J12946

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

A new and exciting opportunity has arisen for a Principal Data Scientist with a strong background in Advanced AI (Artificial Intelligence) to lead, mentor and develop a team of Data Scientists. Collaborating cross-functionally, the role will focus on the delivery of AI and Data Science programmes across the organisation, driving Data Quality, Data Governance and Best Practice. Proven and demonstratable experience of Python coding and clouding computing is required coupled with fantastic communication and leadership skills to problem solve as well as influence across all levels of the organisation.

Key Responsibilities:

  • Lead the delivery AI and Data Science programme across the organisation
  • Lead and develop an existing Data Science Team to deliver Data Science solutions
  • Champion Data Science and Advanced Statistics, providing advice to colleagues on the delivery of complex analytic work.
  • Contribute to the development of the AI and Data science programme to drive high impact data science outcomes.
  • Promote excellence and innovation in data science methods for measuring the quality of health and social care services, learning from best practice(/international),both internally and externally.
  • Assess the effectiveness of different advanced statistical and data science modelling approaches and advise data scientists on best tools and approaches to support organisational commitments.
  • Manage competing demands for Data Science work within the Data & Insight unit, ensuring sufficient capacity to deliver while managing stakeholder expectations.
  • Build and drive relationships internally and externally in order to deliver the AI and Data Science programme.
  • Lead and facilitate multi-disciplinary teams from across the unit to deliver outcomes.
  • Assure that appropriate quality control and assurance is undertaken to ensure consistency, accuracy and relevance of unit outputs.
  • Stay abreast of internal and external developments in data, policy and structures of care delivery.
  • Promote a culture of respect and fairness and understand personal responsibilities around delivering against and strategy.

Skills and Experience

  • Post-graduate qualification in relevant subject or has equivalent professional experience.
  • In-depth understanding of a wide range of data science techniques, such as machine learning and natural processing, and able to apply them to a variety of analytic problems.
  • Previous experience in delivery of complex, advanced analytics and/or data science solutions.
  • Experience of delivering Data Science models into production at scale, and collaboration with architecture and engineering teams.
  • Proven experience in leading and developing data science or complex analytics teams.
  • Strong persuading and influencing abilities.
  • Proven experience in managing conflict and articulating coherent rationales for action.
  • Expert ability to manage stakeholder expectations and facilitate discussions across high risk and complexity or under constrained timescales.
  • Proven ability to tailor communication in a compelling way to both technical and non-technical audiences.
  • Expert working knowledge of a range of data science tools, especially Python, R, and SQL
  • Experience of cloud computing - Cloud Computing – Azure, AWS or GCP
  • Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure Machine Learning and Azure AI Foundry as well as experience helping others to use them.

If this role sounds like the challenge you are seeking, 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:www.datatech.org.uk


#J-18808-Ljbffr

Related Jobs

View all jobs

Principal Data Scientist (Manager) - Remote (Basé à London)

Principal Data Scientist

Principal Data Scientist (Manager) - Remote

Senior Principal Data Scientist

Senior Principal Data Scientist

Senior Principal Data Scientist

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.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.

Part-Time Study Routes That Lead to Data Science Jobs: Evening Courses, Bootcamps & Online Masters

Data science sits at the intersection of statistics, programming and domain expertise—unearthing insights that drive business decisions, product innovation and research breakthroughs. In the UK, organisations from fintech and healthcare to retail and public sector are investing heavily in data-driven strategies, fuelling unprecedented demand for data scientists, machine learning engineers and analytics consultants. According to recent projections, data science roles will grow by over 40% in the next five years, offering lucrative salaries and varied career paths. Yet many professionals hesitate to leave their current jobs or pause personal commitments for full-time study. The good news? A vibrant ecosystem of part-time learning routes—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn data science while working. This comprehensive guide explores every pathway: foundational CPD units and short courses, hands-on bootcamps, accredited online MScs, plus funding options, planning strategies and a real-world case study. Whether you’re an analyst looking to formalise your skills, a software developer pivoting into data or a manager seeking to harness data-driven decision-making, you’ll find the right route to fit your schedule, budget and career goals.

The Ultimate Assessment-Centre Survival Guide for Data Science Jobs in the UK

Assessment centres for data science positions in the UK are designed to replicate the multifaceted challenges of real-world analytics teams. Employers combine psychometric assessments, coding tests, statistical reasoning exercises, group case studies and behavioural interviews to see how you interpret data, build models, communicate insights and collaborate under pressure. Whether you’re specialising in predictive modelling, NLP or computer vision, this guide provides a step-by-step roadmap to excel at every stage and secure your next data science role.