At a Glance
- Tasks: Lead data science initiatives to enhance customer engagement and drive revenue growth.
- Company: Join one of the UK's largest digital consumer platforms in a transformative role.
- Benefits: Competitive salary, hybrid work model, and the chance to shape a new team.
- Other info: Work with cutting-edge tools and make a significant impact on business outcomes.
- Why this job: Be a founding member influencing the future of data science in a dynamic environment.
- Qualifications: 5+ years in Data Science, strong Python and SQL skills, and experience with large datasets.
The predicted salary is between 80000 - 100000 £ per year.
We're partnering with one of the UK's largest digital consumer platforms to hire a Lead Data Scientist into a newly formed Data Science capability. This is a genuine greenfield opportunity to help shape how machine learning influences customer engagement, subscriptions, retention and revenue growth across a business processing hundreds of thousands of events per second and managing petabytes of behavioural data. You’ll be joining at a pivotal stage as the organisation continues its transformation towards a subscription‑led model, with Data Science becoming a critical part of future growth.
What you’ll be working on:
- Subscription propensity modelling
- Churn prediction and retention analytics
- Customer segmentation and personalisation
- Dynamic pricing and offer optimisation
- Uplift modelling and causal inference
- Experimentation frameworks and A/B testing
- Model monitoring and performance optimisation
You’ll work closely with Product, Engineering, Editorial and Commercial teams to translate customer behaviour into actionable insight and measurable business outcomes.
What we’re looking for:
- 5+ years in Data Science or Machine Learning
- Strong Python and SQL
- Experience deploying production ML models
- Strong grounding in statistics, probability and machine learning theory
- Experience working with large‑scale customer data sets
- Background in subscription, consumer, media, gaming, e‑commerce, fintech or similar environments
Experience with recommendation systems, propensity modelling, retention, personalisation or monetisation challenges would be particularly valuable.
Additional Information:
- Founding hire into a growing Data Science capability
- Huge influence over future direction and tooling
- Opportunity to help build a future team
- One of the UK's largest consumer data sets
- Highly visible role with direct business impact
- Modern data environment including ClickHouse, Iceberg and Python‑based ML tooling
Location: London (Hybrid)
For a confidential conversation, get in touch directly.
Lead Data Scientist in London employer: Pulse Group
As a Lead Data Scientist at one of the UK's largest digital consumer platforms, you will be part of a transformative journey, shaping the future of customer engagement and retention through innovative data science practices. The company fosters a collaborative work culture, offering significant growth opportunities in a modern data environment, while also providing the chance to influence key business strategies and build a new team from the ground up. With a hybrid working model based in London, employees enjoy a dynamic workplace that values creativity and impactful contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Pulse Group!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Lead Data Scientist at Pulse Group.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Pulse Group.
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We think you need these skills to ace Lead Data Scientist in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Pulse Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Pulse Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Pulse Group
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Pulse Group!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
