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Junior / graduate data scientist

Manchester
Adria Solutions
Data scientist
€30,000 a year
Posted: 16 February
Offer description

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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