Lead Data Scientist - Causal AI
April 5
🔄 Hybrid – London
Description
• Develop causal AI-driven models and decision applications • Manage important deployments and engagements with major companies • Work with causal AI platform to add value and renew customer engagements • Collaborate with business stakeholders to enhance decision workflows • Craft long-term visions and plans for successful implementation of causal models • Shape platform development in collaboration with product and research teams
Requirements
• At least 4 years of commercial data science experience with time series or tabular use-cases, preferably using Python • 2 years experience managing successful deployment of data science projects • Strong academic record in quantitative field • Excellent communication and teamwork skills • Previous experience in high growth tech companies or technical consultancy is a plus • Previous experience in sales, pre-sales, or technical evangelism is a plus • Experience in relevant industries such as supply chain, demand forecasting, retail, manufacturing, marketing, finance, 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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