Data Scientist

Understanding Recruitment
14 days ago

Role details

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

Job location

Tech stack

Artificial Intelligence
Data analysis
Cloud Computing
Python
Machine Learning
SQL Databases
Information Technology
Data Pipelines
Databricks

Job description

Data Scientist - Applied AI with Real-World Impact

Location: Nottingham (Hybrid - 2 days per week on-site)

I'm partnering with a fast-growing AI company that was founded out of leading academic research and now works with major brands, including Boots. They're looking for an experienced Data Scientist to help design and deliver data-driven AI solutions that make a real impact across healthcare, mobility, and retail.

You'll work across the full data science lifecycle, from exploration and modelling through to deployment and performance tracking. This role is ideal for someone who wants to apply advanced analytics and machine learning to real-world problems and see their work make a visible difference.

Key Responsibilities:

  • Analyse and model large-scale behavioural and time-series datasets
  • Build, validate, and deploy machine learning models for forecasting, classification, and behavioural prediction
  • Design and maintain scalable data pipelines in collaboration with engineers and product teams
  • Translate technical insights into clear, actionable findings for technical and non-technical audiences

What They're Looking For:

  • Strong academic background in Data Science, Statistics, Computer Science, or a related field (Master's or PhD preferred)
  • Proven experience developing and deploying ML models in real-world applications
  • Strong technical skills with Python, SQL, Databricks, and cloud platforms
  • Solid understanding of the full data science workflow, from data exploration to productionisation
  • Ability to communicate complex findings clearly and influence decisions through data

Why Join:

  • Work with a modern, cloud-first AI/ML stack on real applied challenges
  • Be part of a team that bridges advanced research and real-world business impact
  • Join a collaborative, high-performing environment where your input shapes direction
  • 30 days holiday, flexible working, and a culture built on curiosity and innovation

If you're looking for a role where your data science expertise can drive meaningful change and help build AI that delivers measurable results, this is a great opportunity to do it.

Requirements

  • Strong academic background in Data Science, Statistics, Computer Science, or a related field (Master's or PhD preferred)
  • Proven experience developing and deploying ML models in real-world applications
  • Strong technical skills with Python, SQL, Databricks, and cloud platforms
  • Solid understanding of the full data science workflow, from data exploration to productionisation
  • Ability to communicate complex findings clearly and influence decisions through data

Benefits & conditions

  • Work with a modern, cloud-first AI/ML stack on real applied challenges
  • Be part of a team that bridges advanced research and real-world business impact
  • Join a collaborative, high-performing environment where your input shapes direction
  • 30 days holiday, flexible working, and a culture built on curiosity and innovation

If you're looking for a role where your data science expertise can drive meaningful change and help build AI that delivers measurable results, this is a great opportunity to do it.

About the company

I'm partnering with a fast-growing AI company that was founded out of leading academic research and now works with major brands, including Boots. They're looking for an experienced Data Scientist to help design and deliver data-driven AI solutions that make a real impact across healthcare, mobility, and retail. You'll work across the full data science lifecycle, from exploration and modelling through to deployment and performance tracking. This role is ideal for someone who wants to apply advanced analytics and machine learning to real-world problems and see their work make a visible difference.

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