Senior Data Scientist (Analytics) – Financial Services
• You will partner with product, design, and engineering teams to derive insights, design experiments, and drive key product decisions. • You will support strategic plans with data insights, performing deep-dives into user behaviour, segmented views and product efficacy. • You will provide tailored analysis for specific products and strategies, define critical business and product metrics, and make regular recommendations for continuous improvements. • You will design, measure, and recommend A/B tests and multivariate experiments, including layout optimisation, UI/UX efficacy, algorithm effectiveness, and API performance. • You will analyse clickstream and transactional data to uncover insights on user behaviour and drive product metrics. You will manage instrumentation for all feature releases within assigned tech families within GFin. • You will develop self-serve solutions for stakeholders that are scalable and automated to handle a product environment. You will drive plans involving Large Language Models or Generative Artificial Intelligence.
• You have at least 4 years of experience in Analytics, Business Intelligence, or Data Science, in a Tech (FinTech or E-Commerce) company. • You have a Bachelor’s Degree in Statistics, Analytics, Economics, Mathematics, Engineering, or related fields. • You are proficient in writing advanced SQL queries and querying large relational databases. • You have hands-on experience with data analysis and programming tools such as Python. • You are skilled in data visualisation platforms like PowerBI or D3.js to present findings. • You have experience designing, running, and analysing A/B tests and product experiments, with knowledge of hypothesis testing and the basic principles of Design of Experiments (DoE).
Data Science; Data Analytics; Business Intelligence; SQL; Python; PowerBI; D3.js; A/B Testing; Multivariate Testing; Hypothesis Testing; Design of Experiments
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