{
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  "job_title": "Founding Data Scientist, Commercial Intelligence",
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  "employer_name": "Healf",
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  "job_description": "Location: Greater London\n\nThe quant.\n\nNot the kind who builds models for models' sake. The kind who walks onto a trading floor, or into a pricing team, or a supply chain operation, and sees the system underneath. The signals everyone else is ignoring. The decisions being made by gut that should be made by evidence. The value sitting in the data that nobody has extracted yet.\n\nYou have spent your career building models that make money. Now you want to build models that make a business intelligent.\nHealf is Europe's fastest-growing company.\n\nNumber one on the FT1000, number one on the Sifted 100.\n\nFrom £1m to over £100m in under three years, with a small, talent-dense team and an electric culture with day one founder intensity.\n\nNow we're aiming for £1bn in the next three.\n\nWe curate the world's best wellbeing brands across The Four Pillars™: EAT, MOVE, MIND, SLEEP. That's the first chapter.\n\nThe next chapter is harder and more interesting.\n\nWe are moving from one market to many, from e-commerce to a technology platform, and from curating wellbeing to defining it. We are a health company, so we think we should act like one.\n\nAt its fullest expression, Healf redefines what wellbeing means for tens of millions of people.\nWhy this role is Healf\n\nHealf is a hundred-million-pound business where nearly every commercial decision is still made by hand.\n\nA pricing analyst pulls a lever in a spreadsheet. An inventory planner places a purchase order based on a formula they wrote last quarter. A marketing manager bids on search terms without knowing the real margin on the product they are driving traffic to. A product goes out of stock because nobody connected the demand signal to the replenishment trigger in time.\n\nThese are not admin problems. They are trading problems.\n\nPricing is a trading problem: what is the right price for this product, in this market, at this moment, given competitor positioning, margin targets, inventory levels, and customer elasticity? Inventory is a trading problem: when do you buy, how much, and what does it cost you when you are wrong? Marketing spend is a trading problem: you are bidding in a real-time auction, and the quality of your intelligence determines whether you win or waste.\n\nRight now, gifted people are doing this work manually. Computing when they should be modelling. Reacting when they should be predicting. Pulling levers when they should be designing systems.\n\nNobody else has this data. Half a million regular customers buying products to change how they feel, across four wellbeing categories, with twelve months of transaction history and competitor pricing scraped daily. The commercial intelligence you build here could not be built anywhere else.\nWhat you will own\n• Pricing intelligence. Models that understand price elasticity by product, category, customer segment, and market. Where is there headroom? Where are you bleeding margin? Where are competitors mispriced? Not a one-off analysis. A living system that learns.\n• Demand and inventory forecasting. Predictive models that tell the supply chain team what is going to sell, when, and what needs to be ordered before it runs out. Healf stops going out of stock because the system saw the signal before the human could.\n• Marketing and acquisition intelligence. The link between ad spend and commercial outcome. Which channels, products, and segments generate actual margin, not just revenue?\n• The commercial model. A unified quantitative view of how pricing, inventory, purchasing, and marketing interact. You will be the first person at Healf who sees the whole system and can quantify it.\n• The bridge to automation. You work directly with the Founding Engineer, Commercial Intelligence to turn your models into production systems that act on their own. Your models are not reports. They are the brains inside machines that trade.\nWhy the opportunity is bigger than it looks\n\nEvery decision in Healf's commercial operation is connected. Price affects demand. Demand affects inventory. Inventory affects purchasing costs. Purchasing costs affect margin. Margin should affect price. It is a loop. And right now nobody sees the whole loop because every team is optimising its own piece in its own…",
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  "employer_website": "https://healf.com",
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  "job_employment_type": "Full–time",
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  "job_posted_at_timestamp": 1774224000,
  "job_posted_at_datetime_utc": "2026-03-23T00:00:00.000Z"
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