Data Scientist SQL/python in London

Data Scientist - Consumer BehaviourCentral London / Hybrid - 3 days per week in the office (Tuesday to Thursday)Salary range 45,000 - 60,000 depending on skills & experience Ref: J13181A fantastic opportunity for a Data Scientist looking for the opportunity to work on genuinely interesting problems, apply rigorous statistical thinking to large-scale behavioural data and have a real impact. This is a chance to join a small, high-performing Data Science team where you'll have significant exposure to interesting projects, experienced colleagues and real client challenges. Working for one of the world's largest consumer behavioural data companies, providing deterministic behavioural data to many of the world's leading brands and platforms, including Google, Meta, Netflix and the BBC.The Data Science team works with billions of consented consumer events across search, browsing, AI, social, retail, web, app and purchase activity, turning complex data into findings that clients can act on. You'll also have the opportunity to contribute to the data products and pipelines that underpin the organisation's behavioural datasets and client reporting. Define cohorts and datasets using SQL, including complex aggregations, CTEs and window functions
Apply statistical methods including hypothesis testing, confidence intervals and experimental analysis
Work with causal inference techniques such as A/B testing, difference-in-differences and matching
Develop and maintain data aggregation pipelines and datasets used across the business
Validate analytical results against source data and investigate unexpected findings
Write clear, maintainable Python code that can be understood and reused by others
Use AI and coding assistants effectively while taking full responsibility for reviewing and validating their output
Contribute to the development of analytical and data products as the team evolvesSkills &
1-3 years' Data Science experience, or equivalent demonstrated experience through graduate work, projects or competitions
~ Strong Python skills, particularly pandas and NumPy
~ Strong SQL skills, including CTEs, window functions and aggregation
~ A solid understanding of applied statistics, including hypothesis testing and confidence intervals
~ Some knowledge of causal inference techniques such as A/B testing, difference-in-differences or matching
~ A habit of validating results against the underlying data rather than simply trusting that code has executed successfully
~ Experience using AI or coding assistants, alongside the judgement to verify their output before using itApply today for a confidential conversation and find out more. Alternatively, you can refer a friend or colleague through our excellent referral scheme. For every suitable candidate you introduce who is successfully placed, you'll be eligible for our standard gift/voucher reward - with no limit on the number of referrals you can make. Datatech is one of the UK's leading specialist recruitment agencies, focusing exclusively on analytics and data. We are also the team behind the critically acclaimed Women in Data event.