Senior Data Scientist

DiverseJobsMatter

Hounslow, UK

4 days ago

Apply on www.collegerecruiter.com

Prepare application

Role details

Contract type

Internship / Graduate position

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

4 years minimum

Compensation

£65,000.0 - £75,000.0

Working hours

Regular working hours

Job source

www.collegerecruiter.com

Tech stack

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

+2 more

Network Optimization Unsupervised Learning

Job 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.

Requirements

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.