Data Scientist

Harnham; Liverpool; On-site; GBP 45,000 - 55,000; Full time

Benefits offered by this job

Salary £45k-£55k

Job summary

Harnham is hiring a Data Scientist to join a growing Data Science function in Liverpool. You will work with senior stakeholders to deliver machine learning solutions that drive customer and commercial impact, shaping how analytics is used across the business.

Responsibilities include building and deploying predictive models, customer segmentation and lifetime value, forecasting, churn/propensity modelling, and translating findings into clear business recommendations.

Qualifications

• Strong commercial experience in Data Science and machine learning.
• Advanced Python and SQL skills.
• Experience using statistical modelling and predictive analytics techniques.
• Knowledge of machine learning algorithms such as XGBoost and related ensemble methods.
• Experience delivering projects across the full Data Science lifecycle, from problem definition through to deployment.
• Ability to communicate technical concepts clearly to non-technical audiences.
• Experience working with customer analytics, segmentation, churn, propensity modelling, forecasting, or related use cases.
• Exposure to cloud environments such as Azure or GCP is beneficial.
• Experience with Azure ML, Vertex AI, or similar machine learning platforms is advantageous.

Responsibilities

• Building and deploying predictive machine learning models
• Developing customer segmentation and customer lifetime value models
• Creating forecasting solutions to support business planning
• Delivering propensity and churn models to improve customer engagement
• Translating complex analytical findings into clear business recommendations
• Collaborating with engineering teams to support model deployment and operationalisation
• Supporting the development of a modern Data Science platform
• Working with cloud-based machine learning tools and technologies
• Engaging directly with stakeholders to understand challenges and define analytical solutions

Skills

Python

SQL

Machine learning

XGBoost

Model deployment

Customer analytics

Communication

Azure/GCP cloud

Tools

Azure ML

Vertex AI

Job description

This is an excellent opportunity to join a growing Data Science function at a business investing heavily in its data and AI capabilities. You'll work on high-impact customer and commercial projects, helping to shape how machine learning is adopted across the organisation while gaining exposure to cutting-edge tools and a rapidly evolving data environment.

THE COMPANY

This organisation is investing heavily in its Data and AI capabilities, with a focus on building a scalable Data Science function that delivers real business impact. As Data Science becomes increasingly central to decision-making, you'll have the opportunity to work on high-profile customer and commercial projects with strong backing from senior leadership. They foster a collaborative, pragmatic culture where Data Scientists are encouraged to move beyond experimentation and deliver solutions that create measurable value. The focus is on deploying models into production and embedding data-driven thinking across the business.

THE ROLE

As a Data Scientist, you will work closely with senior stakeholders, analysts, engineers, and fellow Data Scientists to deliver machine learning solutions across a range of customer and commercial use cases.

Specifically, you can expect to be involved in the following:

• Building and deploying predictive machine learning models
• Developing customer segmentation and customer lifetime value models
• Creating forecasting solutions to support business planning
• Delivering propensity and churn models to improve customer engagement
• Translating complex analytical findings into clear business recommendations
• Collaborating with engineering teams to support model deployment and operationalisation
• Supporting the development of a modern Data Science platform
• Working with cloud-based machine learning tools and technologies
• Engaging directly with stakeholders to understand challenges and define analytical solutions

SKILLS AND EXPERIENCE

The successful Data Scientist will have the following skills and experience:

• Strong commercial experience in Data Science and machine learning
• Advanced Python and SQL skills
• Experience using statistical modelling and predictive analytics techniques
• Knowledge of machine learning algorithms such as XGBoost and related ensemble methods
• Experience delivering projects across the full Data Science lifecycle, from problem definition through to deployment
• Ability to communicate technical concepts clearly to non-technical audiences
• Experience working with customer analytics, segmentation, churn, propensity modelling, forecasting, or related use cases
• Exposure to cloud environments such as Azure or GCP is beneficial
• Experience with Azure ML, Vertex AI, or similar machine learning platforms is advantageous

BENEFITS

The successful Data Scientist will receive the following benefits:

• Salary between £45,000 - £55,000 - depending on experience