Data Scientist

Harnham
Liverpool, UK
9 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Starter
Compensation
£50,000.0 - £55,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Microsoft Azure Python (Programming Language) Machine Learning Standard Sql SQL Databases Build Management Machine Learning Operations

Job description

Join a growing Data Science team within a large UK organisation investing heavily in Data & AI. This is an opportunity to work on customer-focused machine learning projects, help scale Data Science capabilities, and deliver models that create real commercial impact., * Build and deploy predictive and statistical models

  • Develop customer segmentation, customer lifetime value, and churn models
  • Deliver forecasting and customer analytics solutions
  • Work across the full Data Science lifecycle from problem definition to deployment
  • Partner with analysts, engineers, and business stakeholders
  • Present insights and recommendations to non-technical audiences
  • Support the development of Data Science best practices and capabilities

Requirements

  • Strong commercial Data Science experience
  • Excellent Python and SQL skills
  • Experience with machine learning and statistical modelling
  • Proven experience deploying models into production
  • Strong stakeholder management and communication skills
  • Exposure to Azure or GCP is advantageous
  • Experience with customer analytics or forecasting is beneficial, If you’re a Data Scientist with strong Python, SQL, and machine learning experience looking to make a tangible business impact, please apply today.

Benefits & conditions

  • Salary up to £55,000, with flexibility for exceptional candidates
  • Hybrid working with 3 days per week onsite in Liverpool
  • Exposure to high-impact machine learning projects
  • Opportunity to help shape a growing Data Science function
  • Staff discount, pension, wellbeing support, life assurance, and additional benefits

About the company

They are building a modern Data Science function as part of a wider data transformation programme. With increasing investment in customer analytics and personalisation, the team is focused on developing scalable solutions that support business growth. The culture is collaborative, pragmatic, and centred on delivering value through production-ready machine learning.

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