Careers at Blenheimchalcot

Fospha is the measurement system enterprise retail and ecommerce brands run their business on. We give marketing teams one clear, daily view of what's actually working — across every channel and everywhere they sell, from their website to Amazon and TikTok Shop — down to the level of a single ad or piece of creative. It replaces guesswork and gut feel with a number marketing, finance and agencies can all trust and act on. Brands including Dyson, Gymshark, Adanola and Huel use Fospha up to 25 times a day to decide where budget should move next. We've spent over a decade building this, with more than $40 billion in marketing spend now optimised through the platform — and we're scaling fast across London, Mumbai and Austin. About the role We're looking for a Data Scientist to join Fospha's Data Science team in London. Fospha builds marketing measurement products for ecommerce brands — attribution, marketing mix modelling, incrementality testing, and brand impact measurement. Our Data Science team owns the models behind all of it, from methodology through to production code. You will work across our technical stacks and own maintaining and growing the codebases that power our product and solutions. This role suits an established data scientist who wants to own things properly. You'll lead larger production projects, choose the modelling approach rather than being handed it, and talk to clients as the modelling expert in the room — supported by a team that reviews each other's work seriously, and a company that rewards high agency with ownership. Team: Data Science Level: Career (Data Science Career Development Framework) Location: London What you'll do Lead larger production projects end to end — scoping, building, and shipping production-level code, rather than working through tickets someone else has specified Choose the modelling approach — independently selecting and applying the right method within our suite, across attribution, marketing mix modelling, incrementality testing, and brand impact. You will be given time to keep up-to-date on the latest methodologies in the industry Resolve bugs and queries independently — including in parts of the codebase you didn't write, without needing to route them upwards Use AI as leverage, not as a crutch — solving coding tickets quickly, unblocking yourself on product and engineering dependencies, and building automation workflows that save the team time Work with QA properly — using our automated tooling efficiently and flagging the gaps in it rather than working around them Communicate as a modelling expert — confidently and independently, with clients and with colleagues, including when the message is that a number they like is wrong Help develop the people around you — code review, methodology critique, and hands-on support for less experienced colleagues. Breaking down tickets and helping those more junior is essential What we're looking for Essential 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 judgement to pick the right approach for the problem rather than the one you know best Strong Python and SQL , with the ability to lead on production-level code and set the standard others work to Able to debug and resolve issues independently across unfamiliar repositories, using AI tooling to accelerate rather than to guess, while still understanding the problem fully Strong AI fluency — you solve tickets quickly with it, you unblock cross-department dependencies with it, you build automation workflows with it, and you never send AI-assisted output without checking it Confident, independent communication with clients and stakeholders as the technical authority on the work Emerging mentorship — you're ready to develop junior colleagues, and you want to Initiative in accepting and planning your own work, rather than waiting to be allocated it Genuine attention to detail — much of this work involves noticing when a number is wrong Nice to have Bayesian modelling experience, particularly hierarchical models Experience with AWS or comparable cloud tooling Familiarity with automated QA tooling and test coverage practices Experience with marketing, ecommerce, or advertising data Not required Experience with attribution methodology, MMM, incrementality testing, or Bayesian modelling is genuinely an advantage at this level — but it isn't a filter. Our stack takes time to learn regardless of what you arrive with, and we'd rather hire strong modelling judgement and teach the domain. How you'll grow We run a published Data Science Career Development Framework with six levels. You'd join at Career, where the expectations are: AI Fluency & Tooling: Leverages AI to solve coding tickets quickly; consistently unblocks themselves on cross-department dependencies, especially product and engineering; never sends AI-assisted communication without checking quality; expert at using AI to build automation workflows. Machine Learning & Modelling: Strong ML knowledge across multiple algorithm families; independently chooses and applies the right modelling approach within Fospha's suite. Engineering & Codebase: Leads on larger coding projects and tickets with production-level code; resolves queries and bugs efficiently and independently; master at using supplied AWS tooling through AI; uses automated QA tools efficiently and flags gaps to the QA team. Stakeholder & Communication: Confidently and independently communicates with clients and colleagues as a modelling expert; assists with the development of junior members of staff. Job Complexity: Consistent contributor and respected knowledge holder, with emerging collaboration and mentorship abilities. Supervision: Demonstrates initiative in accepting and planning work. Progression to Advanced level is against explicit, published criteria — taking on almost any ticket efficiently, building and planning production repositories, collaborating with product on project outcomes and estimates, actively developing junior colleagues, and representing Fospha as a trusted external voice on modelling in senior client and partner conversations. You'll know what you're working towards from your first week. Throughout, we look for the same core behaviours: concise communication, collaboration, problem solving, critical thinking, growth mindset, attention to detail, time management, and initiative. Why Fospha Real methodological depth. Bayesian attribution, MMM, geo lift testing, and causal inference are our day job, not a side project. You'll be working on all of it, not adjacent to it. Ownership at the methodology level. At this level you're choosing the approach, not implementing someone else's choice. Published career framework. No guessing what the next level requires or when you'll get there. A team that reviews each other's work properly. Code review and methodology critique from people who care about getting the model right. Direct client impact. The models you build and maintain drive real budget decisions at brands you'll recognise. 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 .

Fospha is the measurement system enterprise retail and ecommerce brands run their business on. We give marketing teams one clear, daily view of what's actually working — across every channel and everywhere they sell, from their website to Amazon and TikTok Shop — down to the level of a single ad or piece of creative. It replaces guesswork and gut feel with a number marketing, finance and agencies can all trust and act on. Brands including Dyson, Gymshark, Adanola and Huel use Fospha up to 25 times a day to decide where budget should move next. We've spent over a decade building this, with more than $40 billion in marketing spend now optimised through the platform — and we're scaling fast across London, Mumbai and Austin. About the role Fospha's measurement products run on data pipelines that process marketing spend and performance data for brands you'll recognise. You'll get exposure across our core data engineering workstreams: large-scale SQL/dbt transformation pipelines, data ingestion services, and pipelines that turn aggregated data into insights served through APIs. You'll work alongside data engineers, analysts, and AI agents as part of our AI-first operating model, with senior engineers supporting you as you build real ownership. This role suits a recent graduate (or someone with a strong personal/academic project record) who's curious about data pipelines and wants to learn by shipping real, production code from day one. What you'll do Write and maintain dbt models and SQL as part of our production data engineering pipelines, learning the transformation patterns we build on Help build and maintain Python-based data ingestion services, with guidance from senior engineers Contribute to pipelines that move data from ingestion through transformation to the APIs that serve it Write clean, tested code and get comfortable with code review from both sides — giving and receiving feedback Debug data quality issues systematically, learning to trace problems back through the pipeline Get exposure to our cloud infrastructure and understand how it supports the pipelines you work on Work with AI agents as part of our AI-first operating model, learning to write clear specifications that shape high-quality, AI-assisted engineering work Collaborate with data engineers, analysts, and product stakeholders to understand what the data needs to support The Centre of Excellence The Centre of Excellence is Fospha's early-careers programme that develops ambitious, high-performing talent through focused training, hands-on experience and cross-functional exposure. Starting in Data Engineering, you'll gain foundational experience while being prepared for future opportunities across the organisation. The programme operates on the following principles: Individual Responsibility from the Get-go: You will quickly be responsible for the success of your work, able to make an individual impact early in your career Work alongside SLT at Leading Businesses: You will be engaging with Senior Leadership and C-Level executives at the leading retail brands, getting exposure to how the top companies operate Cross-Functional Exposure: we offer unique opportunities to learn from and collaborate with every department in the business — many daily Comprehensive Training: In addition to the extensive on-the-job learning opportunities, you'll receive a broad and blended in-person training curriculum covering essential topics such as Business Storytelling, Account Management, Market Research & Product and Financial Management Real Mentorship: Regular one-to-ones, feedback, and career conversations with people invested in your progression, not just your output Career Development: High performers have clear opportunities to quickly advance their careers at Fospha — whether progressing within Data Engineering toward senior technical and/or leadership roles or moving into other departments that align with their skills and interests Modern Tools: Hands-on exposure to Gen AI tooling and AI-assisted coding (we use Claude Code day-to-day), so you're building modern, AI-fluent ways of working rather than legacy processes What we're looking for Essential A relevant degree (Computer Science, Data Engineering, Mathematics, or similar), or equivalent experience through internships/placements/personal projects Some experience with SQL and Python Genuine curiosity about how data pipelines work end-to-end, not just the code but why the data looks the way it does Comfortable being reviewed and iterating quickly on feedback Confident asking questions and pushing for clarity rather than staying blocked Nice to have Exposure to dbt or another SQL transformation framework Familiarity with Git/GitHub and PR-based workflows Some exposure to AWS or another cloud environment Experience writing or maintaining automated tests Interest in AI-assisted coding tools (we use Claude Code day-to-day) Any exposure to marketing, ecommerce, or advertising data What we can offer you Salary: Competitive + bonus A £1,000/year flexible benefits allowance to put towards private medical insurance, dental cover, a health cash plan, gym membership, extra holiday, or a pension top-up — whatever suits you Access to Wellhub, giving you one membership across gyms, boutique studios, and wellbeing apps 25 days' annual leave plus 8 UK bank holidays, an extra day off for your birthday, and more holiday the longer you stay (26 days after 3 years, 27 after 6) Regular socials, free weekly snacks, and Lunch & Learn events at our Scale Space office, plus access to the wider Blenheim Chalcot community Opportunities to travel — including to our India and North America offices Life assurance worth 4x your annual salary Why Fospha Real production impact from day one. The pipelines you help build feed measurement products used to make real budget decisions. A published career framework. No guessing what the next level requires or when you'll get there. A team that reviews each other's work properly. Code review from people who care about getting the data right. An AI-first operating model where lean, high-autonomy teams ship fast and learn faster — with structured mentorship from senior engineers as you build that fluency yourself. Our Values and Principles You will be able to demonstrate examples of our core principles: Seek inclusion & diversity: We create an environment where everyone feels welcome, and people are encouraged to speak and be heard Work Hard, Work Well, Work Together: We take responsibility for making things happen, independently and together; we help colleagues in need and close loops, making sure our work is complete and has lasting impact Grow: We are proactive, curious and unafraid of failure Customer at the heart: We care about the customer, feel their pain and love building product that solves their biggest problems Candour with caring: We deliver candid feedback with kindness and receive it with gratitude 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 .

Fospha is the measurement system enterprise retail and ecommerce brands run their business on. We give marketing teams one clear, daily view of what's actually working — across every channel and everywhere they sell, from their website to Amazon and TikTok Shop — down to the level of a single ad or piece of creative. It replaces guesswork and gut feel with a number marketing, finance and agencies can all trust and act on. Brands including Dyson, Gymshark, Adanola and Huel use Fospha up to 25 times a day to decide where budget should move next. We've spent over a decade building this, with more than $40 billion in marketing spend now optimised through the platform — and we're scaling fast across London, Mumbai and Austin. About the role Fospha's measurement products run on data pipelines that process marketing spend and performance data for brands you'll recognise. You'll get exposure across our core data engineering workstreams: large-scale SQL/dbt transformation pipelines, data ingestion services, and pipelines that turn aggregated data into insights served through APIs. You'll work alongside data engineers, analysts, and AI agents as part of our AI-first operating model, with senior engineers supporting you as you build real ownership. This role suits a recent graduate (or someone with a strong personal/academic project record) who's curious about data pipelines and wants to learn by shipping real, production code from day one. What you'll do Write and maintain dbt models and SQL as part of our production data engineering pipelines, learning the transformation patterns we build on Help build and maintain Python-based data ingestion services, with guidance from senior engineers Contribute to pipelines that move data from ingestion through transformation to the APIs that serve it Write clean, tested code and get comfortable with code review from both sides — giving and receiving feedback Debug data quality issues systematically, learning to trace problems back through the pipeline Get exposure to our cloud infrastructure and understand how it supports the pipelines you work on Work with AI agents as part of our AI-first operating model, learning to write clear specifications that shape high-quality, AI-assisted engineering work Collaborate with data engineers, analysts, and product stakeholders to understand what the data needs to support The Centre of Excellence The Centre of Excellence is Fospha's early-careers programme that develops ambitious, high-performing talent through focused training, hands-on experience and cross-functional exposure. Starting in Data Engineering, you'll gain foundational experience while being prepared for future opportunities across the organisation. The programme operates on the following principles: Individual Responsibility from the Get-go: You will quickly be responsible for the success of your work, able to make an individual impact early in your career Work alongside SLT at Leading Businesses: You will be engaging with Senior Leadership and C-Level executives at the leading retail brands, getting exposure to how the top companies operate Cross-Functional Exposure: we offer unique opportunities to learn from and collaborate with every department in the business — many daily Comprehensive Training: In addition to the extensive on-the-job learning opportunities, you'll receive a broad and blended in-person training curriculum covering essential topics such as Business Storytelling, Account Management, Market Research & Product and Financial Management Real Mentorship: Regular one-to-ones, feedback, and career conversations with people invested in your progression, not just your output Career Development: High performers have clear opportunities to quickly advance their careers at Fospha — whether progressing within Data Engineering toward senior technical and/or leadership roles or moving into other departments that align with their skills and interests Modern Tools: Hands-on exposure to Gen AI tooling and AI-assisted coding (we use Claude Code day-to-day), so you're building modern, AI-fluent ways of working rather than legacy processes What we're looking for Essential A relevant degree (Computer Science, Data Engineering, Mathematics, or similar), or equivalent experience through internships/placements/personal projects Some experience with SQL and Python Genuine curiosity about how data pipelines work end-to-end, not just the code but why the data looks the way it does Comfortable being reviewed and iterating quickly on feedback Confident asking questions and pushing for clarity rather than staying blocked Nice to have Exposure to dbt or another SQL transformation framework Familiarity with Git/GitHub and PR-based workflows Some exposure to AWS or another cloud environment Experience writing or maintaining automated tests Interest in AI-assisted coding tools (we use Claude Code day-to-day) Any exposure to marketing, ecommerce, or advertising data What we can offer you Salary: Competitive + bonus A £1,000/year flexible benefits allowance to put towards private medical insurance, dental cover, a health cash plan, gym membership, extra holiday, or a pension top-up — whatever suits you Access to Wellhub, giving you one membership across gyms, boutique studios, and wellbeing apps 25 days' annual leave plus 8 UK bank holidays, an extra day off for your birthday, and more holiday the longer you stay (26 days after 3 years, 27 after 6) Regular socials, free weekly snacks, and Lunch & Learn events at our Scale Space office, plus access to the wider Blenheim Chalcot community Opportunities to travel — including to our India and North America offices Life assurance worth 4x your annual salary Why Fospha Real production impact from day one. The pipelines you help build feed measurement products used to make real budget decisions. A published career framework. No guessing what the next level requires or when you'll get there. A team that reviews each other's work properly. Code review from people who care about getting the data right. An AI-first operating model where lean, high-autonomy teams ship fast and learn faster — with structured mentorship from senior engineers as you build that fluency yourself. Our Values and Principles You will be able to demonstrate examples of our core principles: Seek inclusion & diversity: We create an environment where everyone feels welcome, and people are encouraged to speak and be heard Work Hard, Work Well, Work Together: We take responsibility for making things happen, independently and together; we help colleagues in need and close loops, making sure our work is complete and has lasting impact Grow: We are proactive, curious and unafraid of failure Customer at the heart: We care about the customer, feel their pain and love building product that solves their biggest problems Candour with caring: We deliver candid feedback with kindness and receive it with gratitude 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 .