multiverse - Senior Data Scientist
Requirements
• 5+ years of data science/machine learning experience, with a proven track record building and deploying models that drive real business decisions • Deep expertise in predictive modelling, forecasting and/or optimisation - with strong command of the underlying statistical principles • Strong proficiency in Python and core ML libraries (e.g., NumPy, Pandas, Scikit-Learn, xgboost, shap) • Advanced working knowledge of SQL • Hands-on experience with data pipelines and ML infrastructure • Experience working within AWS (ideally using Sagemaker) and/or Azure • Comfort working across our data stack - inc Airflow, Snowflake • Experience with version control and CI/CD practices (ideally using GitHub) • Rigorous attention to statistical validity - comfortable challenging assumptions and defending methodology • Understanding of best practices in data protection and information security • Experience with causal inference methods (e.g., diff-in-diff, instrumental variables, propensity score matching) • Experience with dbt for data transformation • Knowledge of infrastructure as code tools (e.g. Terraform) • Strong professional and/or academic background within a highly quantitative discipline (e.g. statistics, mathematics, physics or economics)
Benefits
• Time off - 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company-wide wellbeing days (M-Powered Weekend) and 8 bank holidays per year • Health & Wellness- private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Wellhub and access to Spill - all in one mental health support • Hybrid work offering - for most roles we collaborate in the office three days per week with the exception of Coaches and Instructors who collaborate in the office once a month
Apply in one click
Upload My Resume
Drop here or click to browse · Tap to choose · PDF, DOCX, DOC, RTF, TXT