Data Scientist
At a glance
Mid-level Data Science role at Inven. Helsinki · full-time.
Pay not stated Data Scientist salary
dataroles summary, based on the employer's posting.
What you'll do
- Develop data-heavy product features that address entity resolution and document retrieval challenges
- Extract structured details from unformatted sources, and build methods for ranking and clustering documents
- Create machine-learning pipelines and product systems that cope with very large datasets and edge cases
- Apply Python and related tools to build machine-learning solutions for product needs
What you bring
- Strong math skills, with particular depth in linear algebra and statistics
- Foundational knowledge of natural language processing and large language models
- Hands-on experience with Python, NumPy, PyTorch or another listed tool
- You can communicate fluently in English
Who this fits
This role suits a driven, innovation-focused data scientist who enjoys complex problems and ownership within a product and engineering team. You’ll work from the Helsinki city-center office, with an in-office team culture.
From the employer
Machine Learning Engineer
We’re looking for an experienced Data Scientist to join our growing data team. You’ll be part of a high-energy product and engineering team where ownership is real.
At Inven, AI isn’t an add-on, it’s the foundation of how we deliver value to our users. As a Data Scientist here, you’ll get the chance to work on complex, data-heavy features and define what a great AI-first product looks like.
What are we looking for?
An exceptionally driven, startup-minded individual. We consider ourselves high-performers, you should be one too!
Strong math skills, especially linear algebra and statistics, are essential - Without foundational skills we would be constrained to copying ready-made solutions.
Hunger for innovation is required - Our product lives or dies based on whether it is the best product out there, so we don’t have the luxury of simply copying what has worked in the past.
Knowledge of how to make ML pipelines and products scale is crucial - We work with web-scale data, meaning data volumes are huge and all conceivable edge cases are encountered.
Some broad categories of problems we frequently address are e.g. entity resolution, extracting formatted information from unformatted sources as well as document retrieval, ranking and clustering. Past experience with similar problems is a plus, foundational knowledge of NLP and LLMs is a must.
Some tools we use are e.g. Python, NumPy, PyTorch, Hugging Face, Flyte, PySpark. You should have experience with these or similar tools.
Fluency in English
What we offer
A focus on building: minimal bureaucracy, no redundant overhead, no days lost to pointless meetings.
AI-first culture: front-row seat to building a truly AI-native product.
True autonomy over how you work, balanced with real accountability
A Helsinki city-center office with a strong in-office culture, gym access, and regular team events
Equity through our option plan. Help us build a unicorn, and the upside is yours too.
Some of the most ambitious, low-ego colleagues you'll work alongside
$12.75M Series A led by Ventech and Vendep Capital, with Lifeline Ventures and angel investor Risto Siilasmaa
Finland's AI Startup of the Year 2025, #10 fastest-growing early-stage startup in Europe, #3 fastest growing startup in Nordics
The Process
30 min phone screen with our recruiter
1h technical interview with members of our dev team
30 min meet-our-founders coffee chat
To apply, simply attach your CV or LinkedIn profile and fill in your basic info below.
📩 Sounds like something for you? Apply now!
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