Data Scientist: ML for Customer & Pricing Insights

Halfords

Redditch

Hybrid

GBP 60,000 - 90,000

Full time

17 hours ago
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Benefits offered by this job

Hybrid working
Car allowance

Job summary

Halfords is seeking a Data Scientist to join its Data & Analytics team in Redditch. You’ll build and deploy machine learning models that drive pricing, personalization and customer experience, delivering measurable business value.

You’ll work end-to-end from data exploration and feature engineering to model development and deployment, using Python, PySpark, SQL and Azure Databricks, and communicate insights to both technical and business stakeholders.

Qualifications

  • Proven experience as a Data Scientist with production ML deployments.
  • Advanced Python skills and ML modelling in commercial environments.
  • Experience with Azure Databricks, SQL, and cloud data platforms.
  • End-to-end data science delivery from problem framing to deployment.
  • Strong analytical thinking and stakeholder communication.
  • Ability to work in a small, agile team with ownership.

Responsibilities

  • Develop and deploy ML and predictive analytics solutions.
  • Explore and analyse large datasets to identify trends and features.
  • Apply statistical techniques and feature engineering for models.
  • Collaborate with Data Engineers and ML Engineers to operationalise models.
  • Communicate findings clearly to technical and non-technical stakeholders.
  • Help grow data science capability and define best practices.

Skills

Python
Machine Learning
Data Analysis
Communication
Problem Solving

Tools

Azure Databricks
SQL

Job description

Halfords is seeking a Data Scientist to join its Data & Analytics team in Redditch. You’ll build and deploy machine learning models that drive pricing, personalization and customer experience, delivering measurable business value.

You’ll work end-to-end from data exploration and feature engineering to model development and deployment, using Python, PySpark, SQL and Azure Databricks, and communicate insights to both technical and business stakeholders.

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