Senior Data Scientist - CPG/Pharma experience

Job Type

Contract/Temporary

Location

London

Job Ref

BBBH50

Date Added

February 12th, 2026

Consultant

Louis Poynter

Role Overview

We are seeking a highly skilled and hands on Senior Data Scientist for Supervised and Unsupervised Learning, Time Series Forecasting + Optimisation to lead the development, scaling and operationalisation of advanced data science models across pricing, promotion, forecasting and optimisation. This role blends deep technical expertise (80% hands on) with cross functional leadership, working closely with commercial stakeholders to translate analytics into actionable commercial strategies.

The Senior Data Scientist for Supervised and Unsupervised Learning, Time Series Forecasting + Optimisation is required to shape next generation pricing, promotion and pack architecture tools for the CPG environment while also contributing to broader machine learning solutions across forecasting, recommender systems, and Next Best Action initiatives.

Key Responsibilities

• Actively contribute (hands on technical work) and lead a team of DSs to create, evolve, and scale data science models for solutions which may span rule-based logic, supervised and unsupervised learning methods, forecasting and recommender systems.
• Support the deployment of machine learning models on our infrastructure and manage the whole lifecycle of our machine learning models, including monitoring, gathering data for retraining, and redeployments.
• Contribute to a highly collaborative team with a culture of openness and ownership. Manage & mentor data scientists & apprentices.
• Work closely with key stakeholders and influence them on business objectives.
• Build a culture of responsible AI, good governance, and ethics.

Qualifications & Skills

• Relevant industry experience in CPG/Consumer/Retail with developing traditional machine learning models and creating software pipelines to build and make predictions with those models.
• Expert in Python programming for Data Science.
• Have general knowledge of ML methods for supervised and unsupervised learning and especially deep understanding of time series forecasting and optimisation.
• Proven attention to detail, critical thinking, and the ability to work both independently and collaboratively within a cross functional team.
• Experience coordinating projects across diverse teams.
• Experience with Databricks is desirable.

Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.