Pulse Group
Lead Data Scientist
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Lead Data Scientist
Location: London (Hybrid - 2 days per week)
We're supporting a leading consumer digital business as they continue to invest in Data Science, Machine Learning and Personalisation.
This is an opportunity to join a business sitting on one of the UK's largest behavioural datasets, helping to shape how machine learning is used to drive customer acquisition, engagement, retention and subscription growth.
Working at the intersection of Product, Data, Engineering and Commercial teams, you'll build models and generate insights that directly influence customer experiences and business performance.
Responsibilities Build and deploy machine learning models focused on customer acquisition, retention and engagement Develop customer segmentation, propensity and lifetime value models Design and improve recommendation and personalisation systems Optimise conversion journeys, pricing strategies and promotional effectiveness Design and analyse A/B tests and experimentation frameworks Apply statistical and machine learning techniques to large-scale behavioural datasets Partner with stakeholders across Product, Commercial and Engineering teams to drive data-led decision making Monitor and improve model performance in production environments
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Requirements 5+ years' experience in Data Science or Machine Learning Strong Python and SQL skills Experience building and deploying production machine learning models Strong grounding in statistics, experimentation and predictive modelling Experience working with large-scale customer, product or behavioural datasets Ability to translate technical findings into clear commercial recommendations Proven track record of delivering measurable business impact through data science
Experience in any of the following environments would be particularly relevant: Consumer Technology Gaming Streaming Subscription Businesses Media & Publishing E-commerce FinTech Experience working on retention, churn, personalisation, recommendation systems, customer growth, monetisation or subscription challenges would be highly advantageous.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Technical Environment Python, SQL, Scikit-Learn, XGBoost, LightGBM, PyTorch, TensorFlow, ClickHouse, BigTable and Apache Iceberg.
Technology experience is less important than your ability to solve complex business problems and deliver measurable outcomes.
Why Apply? Opportunity to work with one of the UK's largest behavioural datasets Significant autonomy and ownership High-profile role with direct business impact Complex machine learning challenges at scale Opportunity to help shape the future direction of Data Science within the organisation Hybrid working with a central London office
For a confidential discussion, please apply or get in touch directly.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location