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About the Role
Fospha is seeking a Data Scientist to join their Data Science team in London. The role involves owning the models behind Fospha's marketing measurement products, including attribution, marketing mix modelling, incrementality testing, and brand impact measurement. This position is ideal for an experienced data scientist who wants to lead production projects, select modeling approaches, and act as a client-facing modeling expert.
Responsibilities
- Lead larger production projects end to end, including scoping, building, and shipping production-level code.
- Independently select and apply appropriate modeling methods within the company's suite.
- Keep up-to-date on the latest industry methodologies.
- Independently resolve bugs and queries, including in unfamiliar parts of the codebase.
- Utilize AI to solve coding tickets quickly, unblock dependencies, and build automation workflows.
- Work with QA properly, using automated tooling efficiently and flagging gaps.
- Communicate confidently and independently with clients and colleagues as a modeling expert.
- Assist in the development of junior colleagues through code review, methodology critique, and hands-on support.
- Break down tickets and support more junior team members.
Requirements
- Solid commercial data science experience, typically 3-5 years, with a track record of shipping models into production.
- Strong ML knowledge across multiple algorithm families and the judgment to select the appropriate approach.
- Strong Python and SQL skills, with the ability to lead on production-level code and set standards.
- Ability to debug and resolve issues independently across unfamiliar repositories.
- Strong AI fluency, including using AI for quick ticket resolution, unblocking dependencies, and building automation workflows.
- Confident, independent communication with clients and stakeholders as the technical authority.
- Emerging mentorship abilities, ready to develop junior colleagues.
- Initiative in accepting and planning own work.
- Genuine attention to detail.
Skills
- Python
- SQL
- Machine Learning
- AI
- Data Science
- Modelling
- Attribution
- Marketing Mix Modelling
- Incrementality Testing
- Brand Impact Measurement
- Bayesian Modelling
- Hierarchical Models
- AWS
- Automated QA Tooling
- Test Coverage Practices
- Marketing Data
- Ecommerce Data
- Advertising Data
Location
- London
Work Type
- Full-time
Experience Level
- Career Level
- 3-5 years
Benefits
- Published career framework
- Team that reviews each other's work properly
- Direct client impact
About the Company
- Fospha is a measurement system enterprise for retail and ecommerce brands, providing a clear, daily view of marketing performance across all channels and sales platforms.
- Brands like Dyson, Gymshark, Adanola, and Huel use Fospha to optimize marketing spend.
- The company has over a decade of development, with more than $40 billion in marketing spend optimized through the platform.
- Fospha is scaling rapidly across London, Mumbai, and Austin.
- The company offers real methodological depth in areas like Bayesian attribution, MMM, geo lift testing, and causal inference.
- Ownership at the methodology level is provided, allowing individuals to choose the approach rather than just implement.
- The company has a published career framework with clear expectations for advancement.
- A team that conducts thorough code review and methodology critique is in place.
- The models built and maintained directly drive real budget decisions for recognizable brands.
Equal Opportunity
- By submitting your CV you understand that we have a legitimate interest to use your personal data for the purposes of assessing your eligibility for this role. This means that we may use your personal data to contact you to discuss your CV or arrange an interview, or transfer your CV to the hiring manager(s) of the role you have applied for. You can ask us at any time to remove your CV from our database by emailing recruitment@blenheimchalcot.com – but please note that this means we will no longer consider you for the role you have applied for. You can review our privacy policy here.