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Lead Data Scientist

Job in City Of London, Central London, Greater London, England, UK
Listing for: CF
Full Time position
Listed on 2026-01-13
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst, Data Science Manager, AI Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 GBP Yearly GBP 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Location: City Of London

About us

CF is a leading consultancy dedicated to making a lasting impact on health and healthcare. We work with leaders and frontline teams to improve health, transform healthcare, embed life science innovation and boost growth through investment.

Our consultancy serves the entire healthcare sector, from healthcare systems and life sciences to health tech and sector suppliers. CF’s multi-disciplinary team provides end-to-end services, spanning strategy, finance, performance, organisational improvement, data and digital. We also create optimal policy conditions for healthcare advancements through evidence-based thought leadership, taking a proactive stance on key issues.

As an inclusive and values-driven organisation, we are committed to excellence and are honoured to have received multiple industry awards. With unmatched access to UK healthcare data and specialist data science expertise, our consultants are a driving force for delivering positive and meaningful change.

About the role

The Lead Data Scientist is a senior technical leader at CF, responsible for driving data science strategy and innovation in line with company goals. The Lead Data Scientist oversees the development and implementation of data-driven solutions that enhance our service offerings and ways of working. They apply evaluation approaches and ensure these solutions deliver quantifiable impact, drive efficiencies and optimise value for money for our clients and for CF.

These solutions are required for our clients directly, for the management consulting team to leverage in their client service delivery, and for the corporate operations of the business. The Lead Data Scientist collaborates with clients, CF team members (both technical and non-technical), and partner organisations to understand requirements and develop highly effective solutions.

The Lead Data Scientist leads and manages technical components of blended projects, offering oversight, mentorship, and quality assurance to junior employees in the Data Innovation team. They proactively identify and solve challenges in client projects and corporate initiatives while supporting business development efforts relating to technical services. The Lead Data Scientist also contributes to proposal development, technical bid writing, and resource planning to drive business growth.

Being agile and unfazed by rapidly evolving and emerging priorities will be critical in this role as will being open to new ideas and entrepreneurial to enable CF to grow and capitalise on new opportunities.

As a senior member of the CF team, clear communication and strong interpersonal skills are essential, role modelling the leadership behaviours we are committed to at every level of the company. When working with colleagues in CF, clients, suppliers, and people seeking to engage CF, professionalism, kindness, diplomacy and professionalism are essential qualities.

Responsibilities

Theresponsibilitiesanddutiesoftherolewillinclude,butarenotlimitedto:

Data Strategy and Innovation

  • Work with the Data Innovation Team to develop and implement data science solutions that align with CF's corporate strategy.
  • Identify and apply emerging technologies, such as AI and machine learning, to enhance our consulting services and drive business growth.
  • Collaborate with clients to understand their data challenges and develop innovative solutions to address their needs.
  • Stay ahead of healthcare sector trends and leverage data to provide insights that support strategic decision-making.

Technical Development and Implementation

  • Develop and deploy advanced analytics models, including machine learning algorithms and statistical techniques, to solve complex healthcare challenges.
  • Ensure the robustness, scalability, and accuracy of data models and solutions.
  • Work with data engineers to design and maintain scalable data pipelines and infrastructure.
  • Develop and maintain data visualization tools to communicate insights effectively to non-technical stakeholders.

Business Development

  • Support business development activities by providing data-driven insights and contributing to proposals and client pitches.
  • Work with Partners and consultants to…
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