Junior/Graduate Data Scientist
Job in
Manchester, Greater Manchester, M9, England, UK
Listed on 2026-02-11
Listing for:
Adria Solutions Ltd
Full Time
position Listed on 2026-02-11
Job specializations:
-
IT/Tech
Data Analyst, Data Scientist, Machine Learning/ ML Engineer, Data Engineer
Job Description & How to Apply Below
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 Sage Maker) 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 Sage Maker 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 Sage Maker
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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