At a Glance
- Tasks: Design and deploy ML models to optimise user engagement and conversion.
- Company: Join a fast-growing, profitable company revolutionising marketing in Europe.
- Benefits: Competitive salary up to £220k, mentorship opportunities, and a dynamic work environment.
- Other info: Work from the London office and enjoy excellent career growth potential.
- Why this job: Be a foundational leader shaping data strategy and driving real business outcomes.
- Qualifications: 5+ years in ML model deployment, strong Python and SQL skills required.
The predicted salary is between 70000 - 90000 £ per year.
This role is with one of Dex's trusted partner companies. They are bootstrapped, profitable from day one, and have scaled to tens of millions of users, disrupting how major brands acquire customers. They're one of Europe's fastest-growing companies, building the future of marketing by rewarding a massive community for engaging with products.
As a Staff Data Scientist, you won't just be building models; you'll be a foundational leader in a growing team, shaping the product and data strategy. This is a high-impact seat where you'll combine hands-on technical depth with cross-functional leadership to optimize user incentives and build scalable, data-informed decision-making systems. It's not a siloed research role; it's about driving measurable business outcomes.
The work:
- Design and deploy ML models for user personalization, optimizing engagement and conversion within a high-scale user acquisition context.
- Architect and refine incentive reward systems to drive user motivation, retention, and improve in-app ROI.
- Define and implement technical best practices for data product ownership, experimentation, and measurement across the team.
- Drive the definition and implementation of key performance indicators, ensuring data science initiatives directly align with business outcomes.
- Mentor and elevate junior data scientists and analytics engineers, fostering a culture of high standards and scalable practices.
What You Bring:
- 5+ years deploying ML models in a product-driven environment, ideally within high-scale user acquisition, AdTech, or incentive systems.
- Expertise in advanced statistical modeling, including complex experimentation design, uplift modeling, and causal inference.
- Strong command of Python and SQL, with practical experience in cloud platforms (GCP preferred) and modern data engineering workflows (e.g., DBT, Airflow).
- Proven ability to lead cross-functional initiatives, communicate complex technical concepts clearly, and influence product strategy.
- Must be eligible to work in the UK and willing to work from the London office.
Why apply through Dex:
This isn't a role you'll find easily. High-impact, rapidly growing companies like this often fly under the radar, making them hard to discover and even harder to get into. Dex helps you cut through the noise, get properly briefed on the company and role, and apply with an unfair advantage. Skip the cold application process and ensure your profile stands out for this rare opportunity.
Staff Data Scientist (up to £220k) employer: Dex
This company is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. With a focus on employee growth, they provide opportunities for mentorship and leadership within a rapidly expanding team, all while being located in the vibrant city of London. Their commitment to rewarding creativity and driving impactful business outcomes makes this role not just a job, but a meaningful career path for data science professionals.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Data Scientist (up to £220k)
✨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 Dex!
✨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 Staff Data Scientist (up to £220k) at Dex.
✨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 Dex.
✨Apply Directly through Our Website
When you find a suitable opening like Staff Data Scientist (up to £220k) at Dex, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Staff Data Scientist (up to £220k)
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 Dex, 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 Dex. 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 Dex
✨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 Dex!
✨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.
