Data Scientist

Sanderson
Staffordshire
7 months ago
Applications closed

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Data Scientist (Globally Renowned Retail Group)

🚀 Join a Leading Digital Transformation Team as a Technical Data Scientist

Are you passionate about leveraging cutting-edge AI and machine learning to drive real business impact? Our leading client is seeking aTechnical Data Scientistto spearhead their group-wide data science roadmap and elevate the data maturity of their Digital department.


This is a high-impact role where innovation meets execution. You’ll lead the development and deployment of scalable, production-ready data science solutions—from predictive models and AI-powered decision engines to automation frameworks—delivering measurable commercial value across the organization.


What You’ll Do:

  • Own and deliverthe data science roadmap, aligning with strategic business goals.
  • Design, build, and scaleadvanced AI/ML solutions that drive operational excellence.
  • Implement MLOps best practices, ensuring models are robust, explainable, and continuously optimized.
  • Champion ethical AI, promoting transparency, fairness, and compliance with evolving regulations.
  • Translate complex datainto compelling stories and visualizations that empower decision-makers.
  • Collaborate cross-functionallywith analytics, engineering, and business teams to embed AI into core processes.
  • Foster a data science community, sharing knowledge and best practices across departments.


What You Bring:

  • A degree in Mathematics, Statistics, Computer Science, or a related field.
  • Deep expertise in Python, SQL, and modern data science platforms.
  • Proven experience with Databricks and Lakehouse architectures.
  • Strong grasp of statistical modeling, AI/ML techniques, and cloud-based analytics.
  • Exceptional communication skills—able to simplify the complex for non-technical audiences.
  • A track record of solving complex problems and delivering commercial impact through data.
  • Experience managing stakeholders at all levels and driving data adoption across the business.

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