Lead Data Scientist

Carnall Farrar Ltd; London; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A leading consultancy in London is seeking a Lead Data Scientist to drive data science strategy and innovation. The role involves overseeing the development of data-driven solutions, mentoring junior staff, and ensuring compliance with data governance standards. Ideal candidates will have experience in cloud deployment, excellent communication skills, and the ability to deliver analytical insights to clients. This position offers a hybrid working model with excellent benefits.

Benefits

Holiday entitlement: 25 days/year

Pension: 7% employer contribution

Flexible working

Employee assistance program

Qualifications

• Mandatory experience in containerisation and cloud deployment.
• Ability to translate business problems into technical solutions.
• Experience with cloud services and containerisation.

Responsibilities

• Develop and implement data science solutions aligned with CF's corporate strategy.
• Ensure compliance with data governance policies and regulations.
• Lead and manage technical components of blended projects.

Skills

Python

Communication and collaboration skills

Understanding of statistics

Cloud services

Containerisation

Tools

Relational databases

Natural language processing

Big data technologies

Job description

Overview

CF is a leading consultancy dedicated to making a lasting impact on health and healthcare. The Lead Data Scientist is a senior technical leader responsible for driving data science strategy and innovation, overseeing the development and implementation of data-driven solutions that enhance service offerings, and delivering quantifiable impact for clients and CF.

Responsibilities

• Data Strategy and Innovation: Develop and implement data science solutions aligned with CF's corporate strategy; identify and apply emerging technologies (e.g., AI/ML) to enhance consulting services; collaborate with clients to understand data challenges and deliver innovative solutions; stay ahead of healthcare sector trends to provide strategic insights.
• Technical Development and Implementation: Develop and deploy advanced analytics models; ensure robustness, scalability, and accuracy of models; work with data engineers on scalable data pipelines and infrastructure; develop and maintain data visualisation tools for non-technical stakeholders.
• Business Development: Support proposals and client pitches with data-driven insights; identify opportunities where data science adds value; build and maintain relationships with clients and industry partners to advance CF's data capabilities.
• Data Operations and Governance: Ensure compliance with data governance policies and regulations (including GDPR and healthcare standards); contribute to data management processes; collaborate with information governance teams for safe and ethical use of healthcare data.
• Team Collaboration and Knowledge Sharing: Collaborate with consulting and technical teams to integrate data science into client projects; mentor junior data scientists; share knowledge through presentations, workshops, and thought leadership.
• Leadership and Delivery: Lead and manage technical components of blended projects; provide mentorship, quality assurance, and proactive problem-solving; contribute to proposal development, technical bids, and resource planning.

Requirements

To be successful, the role requires a combination of the following:

• Mandatory experience: containerisation and cloud deployment of models; understanding of data privacy requirements; excellent communication and collaboration skills; ability to translate business problems into technical solutions and present outputs to clients; proficient in Python and standard DS toolkit; experience with cloud services and containerisation; proficiency with relational databases; strong understanding of statistics.
• Preferred: experience in healthcare or life sciences consulting; familiarity with healthcare data sources, standards, and regulatory requirements; knowledge of natural language processing and AI techniques; experience with big data technologies and frameworks.

Flexible Working

Hybrid model with remote work allowances. Up to 44 remote working days per year, with core in-person hours 10:00–16:00; option to work from home up to two days per week subject to client needs. Blocks available to manage holidays or commitments.

Diversity & Inclusion

Commitment to an inclusive culture; equal opportunity irrespective of gender, race, disability, religion, nationality, ethnicity, sexual orientation, age, or other characteristics. Disability Confident Accredited; reasonable adjustments available during recruitment.

Benefits

• Holiday entitlement: 25 days/year (30 for leadership) increasing with service to 35 max
• Pension: 7% employer, 3% employee contribution (or more)
• Flexible benefits program; annual leave purchase; income protection; enhanced sick pay; life insurance; enhanced family leave; various loans; nursery scheme; flexible working; employee assistance program; flu jabs; eye care vouchers; ride-to-work scheme; HSJ membership