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# Senior Data Scientist

- **Company:** DiverseJobsMatter
- **Location:** Hounslow, UK
- **Experience:** Expert
- **Salary:** £65,000.0 - £75,000.0
- **Contract:** Internship / Graduate position
- **Skills:** Airflow, Amazon Web Services, Unit Testing, Continuous Integration, Data Cleansing, Github, Python (Programming Language), Machine Learning, SQL Databases, Workflow Management Systems, Machine Learning Operations, Docker, Network Optimization, Unsupervised Learning
- **Published:** September 8, 2026
- **Apply:** https://www.collegerecruiter.com/job/2840571569-senior-data-scientist

## About the Role

* Expert-level fluency in Python, with experience in libraries such as scikit-learn, pandas, numpy, and Gurobi.
 * Deep understanding of machine learning and operational research techniques (supervised, unsupervised learning, optimisation).
 * Proven ability to deploy production-grade solutions with practices such as unit testing, CI/CD (GitHub Actions), containerisation (Docker), and orchestration tools (Airflow, Dagster).
 * Skilled in SQL and cloud platforms (AWS preferred), and familiar with tools like DVC, MLflow.
 * Experience in delivering industrialised data science products at scale.
 * Strong communication skills with a proven ability to influence across technical and business domains., * Master's degree (or above) in Data Science, Machine Learning, Operational Research, or a related field.
 * Minimum 4-6 years' experience in developing and deploying ML/optimisation products.
 * Domain experience in transport, operations, or network optimisation is advantageous.
 * Generous travel benefits, including unlimited standby flights and up to 30 discounted fares annually.
 * Career progression opportunities within a dynamic and growing technology function.
 * Supportive culture fostering collaboration, innovation, and development.

## Description

* Lead the end-to-end development of machine learning and optimisation modules embedded in real-world decision-support software.
 * Collaborate with software engineers and product teams to operationalise models using modern development practices.
 * Design and manage data cleaning pipelines and orchestrate workflows (e.g., Dagster) within cloud CI/CD frameworks.
 * Make critical system and modelling architecture decisions to balance scalability, complexity, and business impact.
 * Engage with business stakeholders to understand operational problems and integrate data products into workflows.
 * Conduct exploratory analysis and visualisation to support insight generation and value quantification.
 * Clearly articulate technical decisions and modelling outcomes to technical and non-technical audiences.
 * Mentor junior data scientists, promoting technical excellence and agile collaboration.


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