Data Science Manager

Hackajob Ltd; Leeds; Hybrid; GBP 61,000 - 101,000; Full time

Benefits offered by this job

Gym subsidy

Private medical insurance

30 days vacation

Charity leave (3 days)

Flexible mobility onsite with clients

Job summary

Hackajob Ltd. seeks a Data Science Manager to lead teams of data scientists and deliver bespoke ML solutions for complex business challenges. You will model and solve problems using deep learning and quantitative analytics while aligning with client requirements and strategic goals.

You will guide discovery analytics, collaborate with engineers to deploy models, and drive the analytical direction across client engagements, contributing to sales and long-term value creation.

Qualifications

• 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.

Skills

Python

SQL

Pandas

Machine Learning

Deep Learning

Cloud platforms

Data Visualization

Leadership

Communication

Statistics

Team Leadership

Tools

PySpark

Hive

Hugging Face

PyTorch

TensorFlow

Keras

Job description

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