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Junior​/Graduate Data Scientist

Job in Manchester, Greater Manchester, M9, England, UK
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
Salary/Wage Range or Industry Benchmark: 35000 GBP Yearly GBP 35000.00 YEAR
Job Description & How to Apply Below
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 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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