Applied Data Scientist - Causal AI
May 23
🏢 In-office - London
Description
• Develop causal-AI-driven models and decision applications using our technology to solve high-impact challenges • Use causal AI framework to build causal models and decision applications • Collaborate with business stakeholders to integrate domain knowledge into modeling process • Craft long-term visions and plans with clients to successfully implement causal models and insights • Work closely with product and research teams to shape platform development
Requirements
• 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
Benefits
• Access to mental health support through Spill • Competitive salary • 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
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