Data Scientist

Understanding Recruitment; Nottingham; Hybrid; GBP 51,000 - 60,000; Full time

Job summary

A leading data analytics company is seeking an AI/Data Science Engineer to work on designing and deploying advanced models for behavioural data. The position, based in Nottingham with hybrid working opportunities, offers a salary of up to £60,000 plus benefits. Responsibilities include building ML models and engineering scalable data pipelines. Candidates should have a strong background in Python, machine learning, and large dataset handling.

Benefits

Share Options

30 Days Holiday

Pension

Qualifications

• Proven experience handling large, behavioural datasets.
• Solid background in ML, deep learning, and applied data science.
• Passion for turning messy data into meaningful insight.

Responsibilities

• Develop and deploy machine learning and deep learning models for behavioural prediction.
• Engineer robust, scalable data pipelines to support training and inference.
• Manage and analyse large datasets using advanced SQL.

Skills

Python for building data pipelines

Machine Learning

Deep Learning

SQL

Job description

Data Science Engineer – Hybrid (1-2 Days in Nottingham Office)

Up to £60,000 + Share Options | 30 Days Holiday | Pension

Join a leading data analytics company transforming how businesses unlock value from behavioural data. They're hiring an AI/Data Science Engineer to help design, build, and deploy advanced models that turn large-scale, temporal data into actionable insights.

What You’ll Do

• Build ML/AI Models: Develop and deploy machine learning and deep learning models for behavioural prediction
• Engineer robust, scalable data pipelines to support training and inference
• Work with Big Data: Manage and analyse large datasets using advanced SQL (incl. window functions)

What You’ll Bring

• Python for building data pipelines
• Proven experience handling large, behavioural datasets
• Solid background in ML, deep learning, and applied data science
• Passion for turning messy data into meaningful insight

If you're an applied ML or data science engineer ready to work on real-world problems with a growing tech team — get in touch!