Data Scientist

BT Group; Manchester; On-site; GBP 45,000 - 65,000; Full time

Job summary

A leading telecommunications company in Manchester is seeking a Machine Learning Engineer to join their AI team. The role involves developing innovative machine learning solutions, collaborating with product teams, and managing the full machine-learning lifecycle. The ideal candidate has at least 1 year of experience, proficiency in Python, and strong knowledge of cloud infrastructure. This position offers the chance to work in a dynamic environment with a focus on delivering high-impact technologies in the sports industry.

Qualifications

• At least 1 year of relevant industry experience in software engineering, machine learning, or data science.
• Hands-on experience building enterprise-grade machine learning and data platforms.
• Proficiency in at least one modern deep-learning engine such as TensorFlow or PyTorch.

Responsibilities

• Research, develop, and implement innovative machine learning techniques on sports data.
• Collaborate with partners to identify data-acquisition opportunities.
• Manage the full machine-learning lifecycle from data preparation to deployment.

Skills

Machine learning

Data science

Software engineering

Excellent communication

Cloud infrastructure

Education

Bachelor's, MS, or Ph.D. in Computer Science, Mathematics, Computational Statistics, Machine Learning, or related STEM fields

Tools

Python

TensorFlow

PyTorch

AWS

Google Cloud

Job description

The role is part of the AI Team with the purpose to bring new models & products to market at a fast pace. You will be part of a dynamic team which will work on solving complex problems by creating cutting edge models based on unique data sets, work with a team on launching the initial product, transition it into the product engineering function and move on to the next challenge.

Responsibilities

• Research, develop, and implement the most innovative machine learning techniques on Stats Perform's wealth of sports data (both structured and unstructured).
• Productize artificial intelligence based solutions alongside engineers and product teams.
• Provide technical guidance to product teams on appropriate AI (machine learning and computer vision) approaches for tasks.
• Patent innovative solutions.
• Manage the full machine‑learning lifecycle: data preparation, training‑data generation, feature engineering, optimisation, experimentation, reproducibility, deployment, and end‑to‑end workflow management.
• Collaborate with partners and stakeholders to identify data‑acquisition opportunities, create requirements, and transform large‑volume data into AI‑ready high‑quality relevant datasets.
• Accelerate velocity from idea to production.
• Ensure quality ML data using a triad of people, process, and technology.
• Act as a conduit between Product and Data Engineering to bring new models into production quickly and efficiently.
• Support, train, and mentor team members on best ML implementation practices.
• Enable products by delivering ML and Deep Learning capabilities at scale.

Qualifications

• At least 1 year of relevant industry experience in software engineering, machine learning, or data science.
• Hands‑on experience building enterprise‑grade machine‑learning and data platforms.
• Familiarity with common machine‑learning algorithms (e.g., random forest, XGBoost).
• Preferred knowledge of advanced ML techniques (neural networks/deep learning, reinforcement learning, active learning, data augmentation, GANs).
• Experience with high‑level programming languages such as Python and knowledge of big‑data tools.
• In‑depth working knowledge of cloud infrastructure such as AWS or Google Cloud.
• Proficiency in at least one modern deep‑learning engine such as TensorFlow or PyTorch (knowledge of using GPUs preferred).
• Experience integrating with internal and external complex systems that scale while demonstrating security, reliability, scalability, and cost efficiency.
• Track‑record of successfully launching ML projects in production on large‑scale, multi‑dimensional data stores and complex business infrastructures.
• Passion for creating new technologies with high product impact within sport.

Education

• Bachelor's, MS, or Ph.D. in Computer Science, Mathematics, Computational Statistics, Machine Learning, or related STEM fields.

Skills

• Excellent verbal and written communication and presentation skills, with the ability to effectively communicate with both business and technical teams, as well as internal and external stakeholders.
• Open‑minded, structured thinker who is detail‑oriented and passionate about research.