Principal Data Scientist - Remote

JR United Kingdom; London; Remote; GBP 52,000 - 72,000; Full time

Job description

Principal Data Scientist - Remote, London

Client:

Location:

London, United Kingdom

Job Category:

Other

EU work permit required:

Yes

Job Views:

8

Posted:

18.04.2025

Expiry Date:

02.06.2025

Job Description:

Principal Data Scientist - Remote

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

£52,737 - £66,197 (National 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 upskill 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 demonstrable experience of Python coding and cloud computing is required, coupled with fantastic communication skills to problem solve and influence across all levels of the organisation. This is a leadership role and proven experience of leading a team to deliver is required.

Key Responsibilities:

• Lead the delivery of AI and Data Science programme across the organisation.
• Lead and develop the Data Science Team.
• 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.
• Experience of leading a team to deliver Data Science solutions.
• Promote excellence and innovation in data science methods for measuring the quality of health and social care services, learning from best practice (national/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 diversity and inclusion strategy.

Skills and Experience:

• Post-graduate qualification in relevant subject or equivalent professional experience.
• In-depth understanding of a wide range of data science techniques, such as machine learning and natural language 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.
• 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.
• 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.
• Proven ability to anticipate problems, know how to prevent them and understand how problems fit into the larger picture. Can also develop problem-solving capabilities in others.
• 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.

If this role sounds like the challenge you are seeking, get in touch today to find out more!