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Data Scientist

2 months ago

Fulham, Greater London, United Kingdom causaLens Full time
About causaLens

causaLens is a leading provider of Causal AI solutions, empowering data scientists and business analysts to go beyond correlation-based predictions and have a real impact on strategic business decisions. Our platform is trusted and used by data science teams in leading organizations across various industries.

Job Description

As a Data Scientist at causaLens, you will:

  • Develop causal-AI-driven models and decision applications using our technology to solve high-impact challenges in industries like retail, marketing, supply chain, manufacturing, and finance.
  • Collaborate directly with business stakeholders to integrate domain knowledge into the modeling process and demonstrate how insights can enhance business workflows.
  • Craft long-term visions and plans to successfully implement causal models and insights into customers' business strategies.
  • Work closely with the product and research teams to shape the development of our platform.
Requirements

To be successful in this role, you will need:

  • At least 2 years of commercial data science experience with time series or tabular use-cases, preferably using Python.
  • Strong academic record in a quantitative field (MEng, MSci, EngD or PhD).
  • Excellent and proven communication and teamwork skills.
  • Previous experience in high growth technology companies or technical consultancy is a plus.
  • Previous experience in sales, pre-sales, and/or other technical evangelism is a plus.
  • Experience in supply chain, demand forecasting, retail/cpg, manufacturing, marketing, financial services, or public sector is a plus.
What We Offer

We offer a competitive salary and benefits package, including:

  • Access to mental health support through Spill.
  • 25 days of paid holiday, plus bank holidays.
  • Share options.
  • Pension scheme.
  • Happy hours and team outings.
  • Referral bonus program.
  • Cycle to work scheme.
  • Friendly tech purchases.
  • Office snacks and drinks.
Logistics

Our interview process consists of a few screening interviews and a 'Day 0' which is spent with the team. We will always be as transparent as possible so please don't hesitate to reach out if you have any questions.