Salary: £61,000 - 101,000 per year
Requirements
- Relevant work experience in data science, machine learning, and business analytics
- Practical coding experience with Python (preferred), R, Scala, or similar languages
- Strong proficiency in database technologies, including SQL, ETL, NoSQL, data warehousing, and big data technologies such as PySpark and Hive
- Experience working with structured and unstructured data, including text, PDFs, images, call recordings, and video
- Knowledge of machine learning modeling techniques and model tuning, such as XGBoost, deep neural networks, Transformers, ResNets, VAEs, GANs, and Markov chains
- Experience with machine learning libraries such as Fastai, Keras, TensorFlow, PyTorch, scikit-learn, and Hugging Face
- Ability to read, understand, and implement emerging machine learning techniques
- Experience using cloud technologies such as AWS, GCP, or Azure
- Experience with specialized visualization techniques such as D3.js or ggplot
- Strong verbal and written communication skills, including data presentation
- Ability to lead large projects and drive them through to completion
- Strong problem-solving and solutioning skills
- Proven background in statistics, mathematics, or macroeconomics
Responsibilities
- Lead, motivate, and inspire teams of data scientists
- Create bespoke machine learning solutions to model and solve problems, while supporting team development
- Solve challenging business problems using advanced machine learning methods, including deep learning and quantitative analytics
- Understand business requirements and support the development of business cases
- Conduct discovery analytics to identify new and innovative opportunities
- Partner with developers and engineers to deploy, embed, and scale machine learning models for complex and critical projects
- Create reusable assets, solutions, and best practices for current and future business problems
- Lead analytical discussions and influence the analytical direction of client teams
- Communicate with and provide guidance to senior client leaders and teams
- Contribute data science expertise to new sales activities
Technologies
- AI
- AWS
- Azure
- Big Data
- Cloud
- D3
- ETL
- GCP
- Hive
- Support
- Keras
- Machine Learning
- Network
- NoSQL
- PyTorch
- Python
- PySpark
- SQL
- Scala
- TensorFlow
More
We are a global professional services and technology consultancy offering services across strategy and consulting, interactive, technology, and operations, with digital capabilities. This Data Science Manager role is based in London and is part of our Applied Intelligence and Data & AI practice, which brings together expertise in strategy, data science, data architecture, AI engineering, and visual insights to support end-to-end business change. Our teams work with clients across more than 40 industries and over 120 countries, using advanced technology to address business challenges. We offer training, access to a global network of experts, opportunities to work with cutting-edge technologies and well-known brands, and a competitive salary with 30 days of annual vacation, a gym subsidy, private medical insurance, and three additional days of leave for charitable work. Flexibility and mobility are required, including time onsite with clients and partners. We value inclusion, diversity, shared success, and equal opportunity.
last updated 40 week of 2026
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Data Science Manager in Leeds employer: Hackajob Ltd
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