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For Companies At a Glance
- Tasks: Drive product innovation by turning customer insights into actionable data.
- Company: Join Mention Me, a leader in authentic marketing solutions.
- Benefits: Enjoy hybrid working, private medical insurance, and 25 days annual leave.
- Why this job: Make a real impact with cutting-edge data science in a dynamic environment.
- Qualifications: 4+ years in data science, strong Python and SQL skills required.
- Other info: Collaborative culture with regular social events and excellent career growth opportunities.
The predicted salary is between 36000 - 60000 ÂŁ per year.
About Mention Me
Mention Me amplifies the authentic human voice in a world of AI marketing noise to drive profitable brand growth. We help brands identify true promoters, activate authentic recommendations and UGC, and align teams around a single source of Voice of Customer insights so real brand love compounds into performance across channels.
The opportunity
Become one of the top contributors to bring the new product vision live. Work end to end across metric design, data and modeling, experimentation, and product integration.
What you’ll do
- Build components of new products that turn real customer signals into timely actions and measurable outcomes allowing customers to amplify consumer voice for LLM visibility advantage.
- Partner across Product, Engineering, CS, and Commercial to make the human signal visible, actionable, and compounding in the product.
- Establish experimentation and measurement foundations: design how we test, learn, and prove impact; embed sound statistical practice; and turn results into simple, trusted narratives that guide product and commercial decisions.
- Productionize and scale thoughtfully: ship durable data and model workflows in collaboration with the engineering team, ensure quality and monitoring, and document decisions so the system is reliable, explainable, and easy to evolve.
What you’ll bring
- Track record, typically 4+ years, in applied data science for product or marketing in consumer or SaaS.
- Continuous learning mindset: you stay current with generative AI advances, prototype with new models and frameworks, evaluate them critically, and translate useful innovations into practical product improvements. You share learnings and raise the bar for the team.
- Hands‑on ML skills: feature engineering, propensity or uplift modeling, model evaluation, monitoring.
- Strong Python and SQL with the ability to move from notebooks to production code.
- Practical data engineering instincts: event schemas, batch jobs, orchestration, data quality guardrails.
- Clear communication that translates complexity into actionable narratives for non‑technical audiences.
- Bias for action and ownership in ambiguous, fast‑moving environments.
Nice to have
- LLM applications for agentic solutions.
- Graph modeling.
- Personalization: propensity/uplift modeling, bandits, causal inference.
- Libraries: scikit‑learn, XGBoost, LightGBM, CatBoost, CausalML, Keras, DoWhy.
- Experience with dbt, Airflow, Looker or Metabase, AWS services such as S3 and Lambda.
- Experience in designing and implementing model/metric endpoints as part of a platform ecosystem with clear contracts and SLOs (e.g., FastAPI/Flask, OpenAPI), deploying via AWS Lambda/API Gateway or containers.
How we work
- Hybrid with in‑person collaboration at our Vauxhall HQ and flexibility for focused work.
- Cross‑functional by default with close partnership across Product, Engineering, CS, and Commercial.
- Outcome‑driven with small releases, fast validation, and scaling what works.
Benefits
- Hybrid working.
- Private medical insurance with Vitality, including enhanced mental wellbeing support, dental and vision policies and a range of lifestyle benefits and great incentives.
- Life insurance.
- Two Celebration Days; additional time off for you to celebrate religious days, cultural events, birthdays, anniversaries, or any other significant day that’s important to you.
- Enhanced parental leave.
- 25 days annual leave (plus public holidays), increasing over your time as a Mentioneer.
- Regular social events, from chocolate‑tasting and pottery‑making to poker nights and picnics.
- Up‑to‑date tech you’ll need (we love Macs).
Senior/Lead Data Scientist in London employer: Mention Me Ltd
Contact Detail:
Mention Me Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior/Lead Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We all know that confidence is key, so the more you rehearse, the better you'll perform!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are keen to join us directly!
We think you need these skills to ace Senior/Lead Data Scientist in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior/Lead Data Scientist role. Highlight your experience in applied data science, especially in product or marketing, and showcase how your skills align with our mission at Mention Me.
Showcase Your Projects: Include specific examples of projects where you've used hands-on ML skills, like feature engineering or model evaluation. We want to see how you've turned complex data into actionable insights, so don't hold back on the details!
Communicate Clearly: Remember, we value clear communication! When writing your application, aim to translate any technical jargon into simple narratives that anyone can understand. This will show us you can bridge the gap between data and non-technical audiences.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to join our team at Mention Me!
How to prepare for a job interview at Mention Me Ltd
✨Know Your Data Science Stuff
Make sure you brush up on your hands-on ML skills, especially in feature engineering and model evaluation. Be ready to discuss specific projects where you've applied these skills, as well as any experience with Python and SQL. This will show that you can move from notebooks to production code seamlessly.
✨Understand the Company’s Vision
Dive deep into Mention Me's mission of amplifying authentic voices in marketing. Familiarise yourself with their products and how they leverage customer insights. Being able to articulate how your experience aligns with their goals will set you apart and demonstrate your genuine interest.
✨Prepare for Collaboration Questions
Since the role involves partnering across various teams, think of examples where you've successfully collaborated with product, engineering, or commercial teams. Highlight your clear communication skills and how you've translated complex data into actionable insights for non-technical audiences.
✨Show Your Continuous Learning Mindset
Mention any recent advancements in generative AI or new frameworks you've been exploring. Discuss how you've prototyped with these innovations and how they could translate into practical improvements for Mention Me. This will showcase your proactive approach and commitment to staying current in the field.
