Senior Data Scientist

Ftse-listed Global Fintech
Charing Cross, United Kingdom
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote
Charing Cross, United Kingdom

Tech stack

A/B testing
Data analysis
Information Engineering
Python
Machine Learning
Recommender Systems
SQL Databases
Unstructured Data
Text Analysis

Job description

An FTSE-listed global FinTech company is looking to hire a Senior Data Scientist in their Trading & Operations function, with deep experience leading high-impact data science projects end-to-end, from problem framing and exploratory analysis through modelling, experimentation and working with MLE. You'll collaborate with data engineering, platforms, web, messaging, analytics, marketing, risk and product. This is a key senior hire, driven by strong and growing demand for data science across the business. What you'll be doing:Lead end-to-end data science projects: problem framing, EDA, modelling, experimentation, and working with MLEs to deploy into productionApply statistics, A/B testing and causal inference to inform product, growth, commercial and risk decisionsWork with diverse structured and unstructured data across client behaviour, operations and financial domainsBuild advanced models and data products, including customer and growth models, recommendation systems, gradient boosting & ensemble methods, NLP / text analytics, time-series forecasting, & generative AI use casesMonitor model performance and design experiments tied to clear hypothesesTranslate ambiguous business questions into measurable, actionable solutionsCoach and mentor junior data scientists, raising the bar on technical quality, delivery and communication

Requirements

What we're looking for:5+ years' experience applying data science and ML to real-world business problemsStrong grounding in statistics, experimentation and analytical reasoningProven experience building predictive models and taking them to productionAbility to communicate complex analysis clearly to non-technical stakeholdersComfortable working with imperfect, large-scale data in a fast-moving environmentStrong Python and SQL skillsCloud experience (ideally GCP, but transferable skills welcomed) Nice to have:Experience in financial services (not essential - support and training provided)Exposure to marketing analytics or MMM projectsMaster's level education in Data Science, Machine Learning or a related field

Benefits & conditions

What's in it for you:Competitive base salary + 12% flexible benefitsPrivate medical cover (including family)Life insuranceGym contribution25 days holiday + birthday off + 2 volunteering days (28 total)Buy/sell holiday optionsUnlimited access to an online learning platform

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