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Data Scientist for Supply Chain Optimization
1 month ago
Data Scientist for Supply Chain Optimization
Company OverviewHalfords is a leading provider of automotive products and services, with a strong commitment to leveraging data-driven insights to drive business growth.
SalaryThe estimated salary for this role is between £60,000 - £80,000 per annum, depending on experience.
Job DescriptionIn this exciting new role, you will be working closely with the Group Supply Chain Analytics Manager to unlock the valuable business insight within our Azure Databricks data lake. You will be responsible for analyzing and interpreting large amounts of data from internal and external sources, using algorithmic, data mining, artificial intelligence, machine learning, and statistical tools to make it available to Merchandise Planners and wider Supply Chain teams for decision-making.
You will create and maintain weekly KPI dashboards and actionable insights using statistical and analytical methods, as well as AI tools to automate specific processes within Supply Chain and develop smart solutions to business challenges.
This role aims to ensure Halfords can leverage competitive advantage through the deployment of best-in-class analytics across planning and the end-to-end supply chain, driving continuous efficiency and effectiveness through automation and informed decision-making.
Key Responsibilities- Work closely with Supply Chain stakeholders to understand business goals and determine how data can be used to achieve these goals.
- Synthesize information from multiple internal and external sources to solve problems critical to the Supply Chain.
- Influence the ingestion of new data sources into the Group Data Platform, support the testing of new data, and creation of Supply Chain measures for the business to use.
- Use machine learning tools and statistical techniques to produce solutions to problems and enable managers to make proactive decisions.
- Create clear dashboards and reports that provide compelling insights about our Group Supply Chain performance and highlight opportunities for improved customer service and business efficiencies.
- Interpret analytical results and clearly communicate findings, translating technical data insights into actionable strategies for non-technical stakeholders.
- Facilitate embedding a self-service capability for operational business users, including automating as far as possible to reduce manual intervention and drive efficiency.
- Stay up to date with the latest Data Science technology, techniques, and methods.
- Proven experience as a Data Scientist or Data Analyst.
- Experience in data mining and data wrangling.
- Experience in open-source big-data technologies and cloud (Microsoft Azure).
- Experience of data warehouse and data lake structures (Azure Databricks, Snowflake) as well as data visualization tools (Microsoft Power BI, Tableau).
- Knowledge of statistical programming and database query languages (SQL, Python, R, Scala).
- Strong applied statistical and probability skills, including knowledge of statistical tests, distributions, and regression.
- Understanding of machine-learning methods, such as k-nearest neighbors, naive Bayes classifiers, support vector machines, random forests, and operations research.
- Strong problem-solving aptitude.
- BSc/BA in computer science, mathematics, statistics, or relevant field; graduate degree in data science or another quantitative field is essential.
As a member of the Halfords team, you will enjoy a range of benefits, including access to training and development programs, flexible working arrangements, and a comprehensive benefits package.
