Senior Data Science Consultant - Life Sciences

McGregor Boyall; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Job summary

McGregor Boyall in London is seeking a Senior Data Science Consultant to join the Life Sciences practice. Hybrid working, client-facing role developing data science and AI solutions for major pharmaceutical and Life Sciences clients.

The role combines technical delivery with strategy, stakeholder engagement and pre-sales activity, leveraging strong Python/SQL skills and a deep Life Sciences background. A Master’s or PhD is preferred.

Qualifications

• Strong background in Data Science, ML or AI, with Life Sciences/pharma experience.
• Consulting background with client relationships and senior stakeholder engagement.
• Experience delivering commercial Data Science solutions across sales, marketing or customer analytics.

Responsibilities

• Lead the design and delivery of DS, ML and AI solutions across Life Sciences.
• Develop analytics solutions supporting commercial functions (sales, marketing, customer insights, market strategy).
• Advise senior stakeholders on DS/AI strategy and opportunities to improve business performance.
• Translate business challenges into practical technical solutions and oversee projects end-to-end.

Skills

Data Science

Machine Learning

AI

Life Sciences

Python

SQL

GenAI

Stakeholder management

Pre-sales

Consulting

Education

Master's degree or PhD

Job description

Senior Data Science Consultant - Life Sciences

Location: London

Working: Hybrid

Salary: £#removed#k + bonus & benefits

The Role

• Joining a leading global technology consultancy within a growing Data & AI practice, working with major pharmaceutical and Life Sciences organisations.
• You’ll combine strong Data Science and AI expertise with Life Sciences industry knowledge to develop solutions that deliver measurable business value.
• A senior, client-facing consulting role focused on commercial applications of Data Science and AI, alongside technical delivery, strategy and stakeholder engagement.

Key Responsibilities

• Lead the design and delivery of Data Science, Machine Learning and AI solutions across the Life Sciences sector
• Develop advanced analytics solutions supporting commercial functions, including sales, marketing, customer insights and market strategy
• Advise senior stakeholders on Data & AI strategy, identifying opportunities to improve business performance
• Translate business challenges into practical technical solutions, overseeing projects from concept through to implementation
• Lead client engagements and contribute to pre-sales activities, proposals and new business opportunities
• Work closely with technical teams to ensure successful delivery of scalable Data & AI solutions

Key Requirements

• Strong background in Data Science, Machine Learning or AI, with significant experience within Life Sciences or pharmaceuticals
• Proven experience delivering commercial Data Science solutions, particularly across sales, marketing or customer analytics
• Consulting background preferred, with experience managing client relationships and engaging senior stakeholders
• Strong understanding of ML, advanced analytics and emerging AI technologies, including GenAI
• Good technical knowledge of Python, SQL and modern Data & AI platforms
• Experience leading technical projects from initial strategy through to implementation
• Previous involvement in pre-sales, solution design or business development
• Excellent communication, stakeholder management and problem-solving skills
• Experience across drug discovery, clinical trials or other Life Sciences applications
• Strong STEM academic background preferred, ideally educated to Master's or PhD level

No sponsorship available.