Senior Data Scientist

Hiring: Data Scientist – Contract (Inside IR35)

Location: Waterside, UK

Role Type: Contract

Role Title: Data Scientist

Role Overview

We are looking for a Data Scientist to join a full-stack product squad delivering operations decision-support software. This role focuses on building industrialised optimisation and machine learning models, working end-to-end from problem definition to production deployment.

You will collaborate closely with product, engineering, and business stakeholders to deliver high-impact, data-driven solutions.

Key Responsibilities

• Develop data pipelines, machine learning, and optimisation models in Python
• Build and industrialise ML/optimisation algorithms using best-practice software engineering principles
• Implement automated data cleaning pipelines and workflow orchestration (e.g. Dagster)
• Integrate ML/optimisation models into full product stacks (data ingestion, UI, orchestration)
• Deploy solutions using CI/CD in a cloud environment
• Build robust logging, testing (unit/regression), and error-handling frameworks
• Analyse adoption, performance, and business value of deployed models
• Engage with business stakeholders to gather requirements and feedback
• Contribute to Agile squad ways of working, code reviews, and technical documentation

Required Skills & Experience

• Strong knowledge of machine learning and/or optimisation techniques
• (Regression, Tree methods, Clustering, Linear / Mixed-Integer Programming, Heuristics)
• Strong Python experience (scikit-learn, pandas, numpy, optimisation libraries)
• Experience building production-ready ML or optimisation solutions
• Solid understanding of CI/CD, Git version control, and cloud platforms (AWS preferred)
• Strong data engineering skills in Python and SQL
• Experience with automated testing (unit, integration, end-to-end)
• Ability to communicate complex technical concepts to non-technical stakeholders

Nice to Have

• Experience with MLflow, DVC, SageMaker
• Workflow orchestration tools (Dagster / Airflow)
• Containerisation (Docker, ECS)
• Domain experience in transportation, airlines, operations, or network optimisation

Qualifications

• Master’s degree in Data Science, ML, Operational Research OR
• 2+ years of highly relevant industry experience
• 0–2 years experience working on production ML/optimisation products at scale