Senior Data Scientist

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At Tink, we’re creating the foundations that a new world of finance will be built on. By constantly challenging ourselves to go further and do better, we’re developing the ground-breaking services that businesses will use, to revolutionise the way millions of people manage their money. The world of financial services is changing fast, and we will continue to be at the forefront of it.

How you'll challenge an industry:

You will be working in a team of highly collaborative data scientists and backend engineers, working on ML-based solutions that enrich basic financial data, transforming it into highly valuable information. Being a cross-functional team we own our products end to end including data pipelines, model development, productionizing of the model, and all backend services needed to serve our customers.

We develop models for customers with millions of users and customers with hundreds of users. We work on text data in over 10 languages and experiment with technologies ranging from transfer learning to named entity recognition.

Some of the challenges you’ll be working on are:

  • Transaction categorization
    • Using transaction descriptions (a text feature) and other transaction data, we automatically infer a transaction’s category.
  • Transaction enrichment
    • Transactions come into Tink with lots of noise attached and the noise is unique in every market. We currently use regex cleanup to address this but are transitioning towards a more ML based approach.
  • Metadata creation
    • We want to infer multiple pieces of metadata from transactions. Where did this transaction take place? Was this part of an autopay subscription? Is this transaction associated with high carbon emissions?

You’ll contribute to the team with your analytical, statistical, and model development abilities. You will also be a cultural leader both within the team and within Tink’s data science community. You will continuously iterate on the team’s and Tink data science’s ways of working, experimenting with initiatives and getting buy-in from those around you. You will also keep all of Tink up to date on updates in your and others’ data science work.

We believe in autonomy and the team has ample freedom to make technical decisions to make their products great and run flawlessly in production.

What we look for:

We believe that you’ll be a great fit for this position if you’re passionate about data science and interested in helping hundreds of thousands of people understand their spending. There are also some technical things we need:

  • A leadership mentality: the buck stops with you.
  • Experience in Python and SQL.
  • Knowledge of machine learning and statistics: you can talk a junior data scientist out of running a T-test on a binomial distribution.
  • Experience working with text data: you’ve used text embedding techniques more advanced than a bag of words.
  • Strong communication skills with both technical and business-facing folks.

Life at Tink

In an environment that’s filled with skilled and creative colleagues, and a culture that encourages people to make their ideas happen, you can have an impact like nowhere else. We all help each other to build new skills and best practices through the diversity of our backgrounds and opinions – while having a lot of fun in the process. Do you want to be part of our story and join one of the leading fintechs in Europe?

We're looking forward to your application!

Additional information

  • Remote status

    Flexible remote

Or, know someone who would be a perfect fit? Let them know!


Vasagatan 11
111 20 Stockholm Directions 08-50 90 89 00 View page

The values that guide us

Not everyone can be everything all the time, but we all do everything we can to live our values - because that's how we keep pushing the envelope. 

Challenging: We are here to challenge the industry as well as ourselves.

Exceptional: We always strive to be the best version of ourselves.

Sincere: We are true in our actions and say what we believe.

Responsible: We step up, take initiatives and make things happen.

Friendly: We are in this together, we are one team.


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