Junior / Graduate Data Scientist

Adria Solutions
Manchester, Greater Manchester, United Kingdom
7 months ago
Applications closed

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Junior / Graduate Data Scientist

Our client, a fast-growing and innovative organisation, is looking for a Junior / Graduate Data Scientist to join their expanding data function.

This is an excellent opportunity for an early-career data professional to gain hands-on experience across the full machine learning lifecycle in a regulated, real-world environment. You’ll work closely with Senior Data Scientists, Data Engineers, and Analysts to develop, test, and support production-ready models using modern cloud technologies.

The Role

You will work primarily with Python, SQL, and AWS (including Amazon SageMaker) to:

Extract, transform, and analyse data from AWS data platforms

Perform exploratory data analysis and communicate insights clearly

Build and evaluate baseline machine learning models (classification & regression)

Support model experimentation in Amazon SageMaker Unified Studio

Contribute to model deployment, monitoring, and safe rollout practices

Follow best practices in Git, code review, testing, and Agile delivery

Support data governance, documentation, and privacy-by-design principles

This role offers structured mentorship and exposure to data science beyond modelling — including productionisation, compliance, and engineering collaboration.

Essential Requirements

Degree in a quantitative discipline (Data Science, Computer Science, Maths, Statistics, Physics, Engineering) or equivalent experience

Early career stage (graduate, placement, bootcamp, or personal projects)

Strong Python skills (pandas, scikit-learn)

Solid SQL skills (joins, aggregations, relational data)

Understanding of ML fundamentals (train/test splits, overfitting, evaluation metrics)

Clear communication skills

Strong learning mindset and interest in AWS/cloud technologies

Comfortable working in a regulated environment

Desirable

Exposure to Amazon SageMaker

Experience with Jupyter Notebooks

Git and basic software engineering practices

Data visualisation tools (e.g., Power BI)

Financial services data exposure (risk, fraud, payments)

What’s on Offer

Structured development and mentorship

Hybrid working model

Company pension

23–28 days holiday + bank holidays

Birthday leave, charity day, wellbeing day, wedding leave

Interested? Please Click Apply Now!

Junior / Graduate Data Scientist

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