Lead Data Scientist

JR United Kingdom; United Kingdom; Hybrid; GBP 60,000 - 80,000; Full time

Job description

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Lead Data Scientist | Advanced Process Modelling | Pharma/Biotech

Salary: Up to £80,000

Technology: Python, MATLAB, MVA, SIMCA

Location: Hybrid, London (Flexible)

We’re partnering with an innovative and fast-scaling company that’s transforming how pharmaceutical and biotech organisations optimise their manufacturing processes. They combine cutting-edge data science with deep domain expertise to deliver model-driven solutions that enhance product quality, reduce batch failures, and improve operational efficiency. As demand for their expertise grows, they're expanding their global team to take on some of the industry’s most complex and high-impact challenges.

They are looking for a Lead Data Scientist who sits at the intersection of advanced analytics, strategic project execution, and pharmaceutical process knowledge. You’ll be responsible for guiding client engagements, leading multi-regional teams, and developing innovative solutions that directly impact drug manufacturing outcomes on a global scale.

Key Responsibilities

1. Lead and deliver global data science projects in pharma manufacturing.
2. Manage timelines, risks, and client communications.
3. Design ML models for process monitoring and predictive analytics.
4. Integrate ML to boost efficiency and reduce batch loss.
5. Build mechanistic, hybrid, and data-driven models for optimisation.
6. Ensure regulatory compliance and deploy models using SIMCA.
7. Mentor data scientists and support knowledge sharing.
8. Produce clear documentation and client-facing reports.

Required Experience

1. 5+ years in data science, with expertise in process monitoring and control.
2. Proven track record managing global, cross-functional projects.
3. Experience with OSI-PI, SAP, MES, or similar systems (preferred).
4. Strong background in ML for process monitoring and anomaly detection.
5. Skilled in MVA and tools like SIMCA, plus Python and/or MATLAB.
6. Able to integrate diverse data sources into analytical workflows.
7. Strong leadership and client-facing communication skills.
8. Highly organised, with a results-driven, problem-solving mindset.

This is a unique opportunity to take on a technical leadership position at the forefront of data-driven manufacturing in the life sciences sector. You’ll play a key role in delivering impactful global projects, shaping the future of advanced analytics in pharma and biotech. The role offers a flexible, remote-first work environment with strong support for professional growth and development.