Lead Data Scientist - PySpark, Microsoft Stack, DataBricks

Job Type:
Cloud & Infrastructure
Job reference:
5 days ago

Lead Data Scientist - PySpark, Microsoft Stack, DataBricks
Lead Data Scientist - PySpark, Microsoft Stack, DataBricks

The location of the role is Paddington, London (hybrid remote working).

The duration of the role is 5 months initially.

The pay rate on offer is £700 per day.

The client is a large, multinational high-street retailer.


Working on a model which helps the business identify products which will be put on sale at the end of a season. Development of a model which helps identify the best products for mid-season changes (e.g., promotions, price).

Key skills

  • Significant experience in landing data science capability, applying the most effective statistical / machine learning models on real world commercial problems
  • MSc or PhD in a STEM subject e.g. Computer Science, Statistics, Mathematics, etc.
  • Strong statistical background
  • Experience building productionised data science pipelines
  • PySpark, Azure, DataBricks, Microsoft stack
  • Retail or Consumer industry experience preferred, but not essential
  • Able to demonstrate innovation in approach and application
  • Development of collaborative relationships with colleagues across the business
  • Clear communication skills are essential as the role will require translating data science into actionable insight and influencing at different levels within the business

Key accountabilities and measures

  • Use expert knowledge of data science techniques and statistics to both lead and deliver complex projects into production, with a robust commercial approach, being mindful that operationalisation is a key success criteria
  • Implement a highly visual and commercial approach when delivering data science projects that engages and challenges the thinking of non-technical audiences
  • Build industrialized data science products by promoting correct software development standards and practices
  • Work with business and technology partners to establish a productive analytical and development environment
  • Work as a self-starter and hands-on technical expert, take the ownership of shipping code into production, and play a technical role model
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