{"data":{"id":162941,"slug":"data-scientist-machine-learning","type":"job","title":"Data Scientist (Machine Learning)","description":"Data Scientist (Machine Learning)\nGlimra is building insurance solutions for climate-related risks in agriculture. The models are the product \u2014 they're what decides whether a farmer gets paid after e.g. a drought and how much, so they have to hold up to an insurer's underwriters and still be something a farmer would actually buy. We're looking for our first data scientist.\nWhat you'd work on\nYou'd start on the models we take to market, working with our underwriter and our CTO. It's statistical work on weather and agricultural data, and the samples are small, so validating a model is harder than fitting one.\nLater the work moves to satellite data and machine learning, and the modelling gets a lot heavier. So it's really two quite different jobs and we want someone who wants both. Someone who's only interested in deep learning probably won't enjoy the first part.\nYou'd also be explaining your models to people who aren't data scientists, both internally and externally (the insurers we work with).\nWhat we're looking for\nStrong Python, and statistics you know well enough to defend when someone questions the model.\nExperience validating models on small samples, where it's easy to overfit.\nMachine learning on image data that you've built and validated yourself.\nYou're comfortable getting your own models running in production.\nYou can explain a model, and where it stops working, to someone who doesn't work with data.\nGeospatial or remote sensing experience is a big advantage. We'll teach you the agriculture and the insurance.\n\n\n\nHow we work\nIt's greenfield. We're building the platform right now, so whoever joins gets to shape it. We write tests first, we agree the architecture up front, and we're strict about recording decisions so they don't get re-argued in the next review.\nWe want team players, not rock stars. Direct feedback both ways, a lot of ownership handed over, and people sharing what they're doing as they go instead of going quiet and coming back when it's done.\nYou'd be the only data scientist, so you'd own the modelling work end to end.\nTerms\nRemote \/ Stockholm\nFull-time. 6-12 project employment to start, and we want it to continue\nStarting asap","language":"sv","is_translated":true,"title_original":"Data Scientist (machine learning)","description_original":"Data Scientist (machine learning)\nGlimra is building insurance solutions for climate-related risks in agriculture. The models are the product \u2014 they're what decides whether a farmer gets paid after e.g. a drought and how much, so they have to hold up to an insurer's underwriters and still be something a farmer would actually buy. We're looking for our first data scientist.\nWhat you'd work on\nYou'd start on the models we take to market, working with our underwriter and our CTO. It's statistical work on weather and agricultural data, and the samples are small, so validating a model is harder than fitting one.\nLater the work moves to satellite data and machine learning, and the modelling gets a lot heavier. So it's really two quite different jobs and we want someone who wants both. Someone who's only interested in deep learning probably won't enjoy the first part.\nYou'd also be explaining your models to people who aren't data scientists, both internally and externally (the insurers we work with).\nWhat we're looking for\nStrong Python, and statistics you know well enough to defend when someone questions the model.\nExperience validating models on small samples, where it's easy to overfit.\nMachine learning on image data that you've built and validated yourself.\nYou're comfortable getting your own models running in production.\nYou can explain a model, and where it stops working, to someone who doesn't work with data.\nGeospatial or remote sensing experience is a big advantage. We'll teach you the agriculture and the insurance.\n\n\n\nHow we work\nIt's greenfield. We're building the platform right now, so whoever joins gets to shape it. We write tests first, we agree the architecture up front, and we're strict about recording decisions so they don't get re-argued in the next review.\nWe want team players, not rock stars. Direct feedback both ways, a lot of ownership handed over, and people sharing what they're doing as they go instead of going quiet and coming back when it's done.\nYou'd be the only data scientist, so you'd own the modelling work end to end.\nTerms\nRemote \/ Stockholm\nFull-time. 6-12 project employment to start, and we want it to continue\nStarting asap","price":null,"currency":"SEK","status":"active","noindex":true,"location":{"address":"SARVSTIGEN 9","full_address":null,"city":"LIDING\u00d6","country":"SE","latitude":59.382944567833,"longitude":18.108564367321},"metadata":{"region":"Stockholms l\u00e4n","duration":"6 m\u00e5nader \u2013 upp till 12 m\u00e5nader","employer":"Glimmer AB","postcode":"18130","positions":1,"profession":"Data scientist","salary_type":"Fast m\u00e5nads- vecko- eller timl\u00f6n","scope_of_work":"100\u2013100 %","working_hours":"Heltid","contact_person":"Emanuel  Badehi Kullander","employment_type":"temporary","occupation_field":"Data\/IT","employer_workplace":"Glimmer AB","experience_required":true,"employment_type_label":"Tidsbegr\u00e4nsad anst\u00e4llning"},"user_id":null,"is_sponsored":false,"views_count":5,"ai_views_count":1,"ai_vendor_counts":{"anthropic":1},"visibility":"public","submission_source":null,"submission_ai_name":null,"has_owner_email":true,"can_contact_owner":true,"phone":"0702290042","owner_email":"isak@glimra.io","images":[],"published_at":"2026-08-19T14:03:10+00:00","expires_at":"2026-08-31T23:59:59+00:00","created_at":"2026-08-20T03:05:58+00:00","updated_at":"2026-08-25T02:46:13+00:00"}}