Data Scientist

SR2
18 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
£ 52K

Job location

Tech stack

Decision-Making Software
Python
Machine Learning
TensorFlow
Unstructured Data
PyTorch
Deep Learning
Scikit Learn
Information Technology

Job description

Are you a data-driven problem solver who thrives on turning complex information into actionable insight? We're seeking a Data Scientist to join a growing, research-focused organisation developing innovative predictive models to assess and manage risk.

This is a fantastic opportunity to work on cutting-edge projects where your analytical and machine learning expertise will directly influence high-impact decision-making tools.

What You'll Do

  • Design, train, and validate machine learning models to predict and quantify risk using diverse, high-volume datasets.
  • Work closely with data engineers and domain specialists to prepare, clean, and analyse structured and unstructured data.
  • Apply advanced statistical, machine learning, and deep learning techniques to extract insights and improve predictive accuracy.
  • Present findings and model outputs clearly to technical and non-technical audiences.
  • Contribute to the ongoing development of ML workflows, tools, and best practices within the team.

Requirements

  • MSc or PhD in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • Proven experience building and deploying predictive models using Python and libraries such as scikit-learn, TensorFlow, PyTorch, etc
  • Excellent problem-solving skills and attention to detail.
  • Effective communicator with the ability to collaborate across disciplines.
  • Comfortable working on site in Cardiff three days per week as part of a dynamic, collaborative team.

Benefits & conditions

Why Join Them?

  • Play a key role in developing innovative data-driven solutions that address real-world challenges.
  • Be part of an ambitious, supportive, and multidisciplinary environment where innovation is encouraged.
  • Competitive salary and flexible working arrangements (hybrid model).
  • Opportunities for professional growth and contribution to impactful research.

Apply for this position