WeDiscover was founded with the belief that when you combine performance marketing experts with data scientists and engineers, amazing things can happen.
Our mission is to build the most innovative and profitable performance marketing campaigns in the world using bespoke, custom-built technology.
We are a young company - founded in April 2020 - and are looking to make those crucial early hires that will set a solid foundation for years to come and ensure we achieve excellence.
As a Lead Data Scientist, you will play a pivotal role in shaping our data science function, ensuring we deliver best-in-class machine learning, optimisation, advanced & predictive analytics, and experimentation & measurement solutions. This is a unique opportunity to take ownership of our data science efforts, influence the direction of the team, and set new standards for excellence.
Reporting directly to the Director of Data, you will oversee the execution of high-impact projects, covering areas such as predictive modelling, customer lifetime value and segmentation, bidding optimisation, and advanced experimentation. You will act as a data lead for key clients, taking responsibility for technical delivery while collaborating with cross-functional teams, including performance marketing specialists, engineers, and analysts. Your role will evolve from primarily hands-on contributions to a more strategic leadership position, with the expectation that you will begin managing and mentoring our data science team (3 data scientists at the moment and forecast to grow to 5 within 12 months) within the first six months.
We are looking for someone who can bridge the gap between data science and digital marketing, applying technical expertise to real-world performance marketing challenges. Your work will directly impact how our clients allocate budgets, optimise bidding strategies, and drive measurable business outcomes.
Additionally, you will serve as a data lead for some of our biggest clients, ensuring that all tech and data-related projects are delivered effectively and drive meaningful results.
About you:
You are an experienced data scientist with a strong background in machine learning, statistical modelling, and optimisation techniques. You thrive in fast-paced environments and have a proven track record of delivering data-driven solutions that create real value. While prior management experience is not a requirement, you should demonstrate leadership potential through your ability to mentor colleagues, drive projects forward, and influence stakeholders.
You should apply if you:
- Have a strong technical background, including proficiency in Python (NumPy, Pandas, Scikit-Learn, etc.), SQL, and cloud platforms such as GCP or AWS.
- Have experience working with modern databases like BigQuery, Snowflake, or Redshift.
- Have successfully deployed machine learning models or optimisation algorithms in production environments.
- Have a solid understanding of digital marketing and marketing analytics, including platforms like Google Ads, Meta Ads, and Google Analytics.
- Have worked on projects such as:
- Customer Lifetime Value (CLV) modelling.
- Propensity modelling and lead scoring.
- Budget allocation and bidding optimisation.
- Experimentation frameworks, A/B testing, causal inference, and Marketing Mix Modelling (MMM).
- Advanced analytics, such as marginal diminishing returns curves and supply-demand modelling.
- Are comfortable acting as a data lead for major clients, taking ownership of their tech and data strategy and ensuring high-quality deliverables.
- Have strong project management skills and the ability to communicate complex technical findings to non-technical stakeholders.
- Can mentor junior data scientists and set best practices for data science workflows within the agency.
If you are excited by the prospect of leading our data science function, managing key client relationships, and mentoring a growing team, we’d love to hear from you.
Why work at WeDiscover:
We truly value your work, time and skills and in return will offer you a competitive salary and some additional benefits, including:
- Significant career advancement and learning opportunities.
- The opportunity to have a direct impact on the company and our clients.
- Top of the range equipment and the freedom to use the right tools and techniques for the job.
- The opportunity to gain more experience by mentoring and coaching, should you wish to.
- 28 days of holiday (excluding bank holidays).
- 2 volunteering days a year.
- Fully remote working for the foreseeable future.
- 5 weeks paid sabbatical after 5 years of service.
- £40 per month wellness subscription choice (Heights, Calm, Headspace, Huel, Thriva, Gym etc).
- £200 Annual learning fund (can be used for books, subscriptions, etc).
- Continuous training and development. In both technical and business skills.
WeDiscover is an equal opportunity employer. We are committed to ensuring equal opportunities regardless of race, colour, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability and gender identity. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know in your application.
