Senior Data Scientist

Investigo; East Midlands; On-site; GBP 90,000 - 130,000; Full time

Job summary

Investigo is seeking a Senior Data Scientist to join a global brand and drive the development and deployment of advanced machine learning models and AI solutions. This hands-on role is ideal for an experienced data scientist who thrives on solving complex business problems with scalable, data-driven approaches.

You will mentor junior team members and contribute to data science best practices while collaborating with stakeholders to deliver measurable business impact.

Qualifications

• Proficiency in Python or R with ML libraries.
• Strong experience in ML, statistical modelling and feature engineering.
• Experience deploying models to production environments.
• Knowledge of MLOps, model validation and monitoring.
• Excellent communication and client-facing skills.
• Experience mentoring team members and guiding data science best practices.

Responsibilities

• Lead the design, development and deployment of advanced ML models and AI solutions.
• Tackle complex business problems with scalable, data-driven approaches.
• Mentor junior data scientists and contribute to team best practices.
• Collaborate with cross-functional teams to translate business needs into ML solutions.

Skills

Python

R

ML libraries

Statistical modelling

Data mining

Feature engineering

Production deployment

MLOps

Communication

Mentoring

Cloud platforms

AI governance

Tools

TensorFlow

PyTorch

scikit-learn

Spark

Job description

A Senior Data Scientist is required to join a global household name, taking a leading role in the development and deployment of advanced machine learning models and AI solutions.

This is a hands‑on role suited to an expereinced Data Scientist who enjoys solving complex business problems, delivering scalable, data‑driven solutions. You will also have the opportunity to mentor junior team members and contribute to the development of data science best practices.

• 3+ years' experience in data science or a related field, with strong proficiency in Python or R and machine learning libraries such as scikit-learn, TensorFlow or PyTorch
• Extensive experience in machine learning, statistical modelling, data mining and feature engineering
• Experience working with large, complex datasets and deploying models into production environments
• Knowledge of MLOps practices, model validation and performance monitoring
• Strong communication skills, with experience managing client relationships and presenting technical insights to diverse audiences
• Experience mentoring junior team members, with knowledge of cloud platforms, big data technologies and AI governance advantageous