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Do you want to be part of a purposeful and value-driven company on a mission to empower consumers to make smarter financial decisions? Take the opportunity to join Lendo, a leading Scandinavian marketplace for loans and Swedens biggest comparison service for private loans, business loans and mortgages.

Lendo is seeking a talented and motivated Data Scientist to join our Data & Machine Learning team.. As a Data Scientist at Lendo, you will play a key role in accelerating our value-creation from data & AI. You will work closely with other data scientists, ML engineers, and business stakeholders (marketing, product etc.) to develop models that solve Lendos most important business challenges.

Key responsibilities:

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Model development: Design, build, deploy and maintain state of the art machine learning models that support strategic ML use cases across all Lendo markets.

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Advanced and statistical analysis: Conduct in-depth analysis on datasets to identify and interpret meaningful patterns, derive actionable insights, and enhance decision making. Utilise advanced statistical techniques to validate hypotheses and draw meaningful conclusions from experiments. Communicate findings and insights to stakeholders through clear and compelling visualisations and presentations.

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Data pipelines: Design and implement data pipelines for data collection, preprocessing, and model deployment.

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Collaboration: Work closely with cross-functional teams, including marketing, data analytics etc. to define requirements for models and leverage domain knowledge in modelling.

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Continuous Learning: Stay updated on the latest developments in data science, machine learning, and AI.

Qualifications:

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Bachelor's/Master's/Ph.D. in Computer Science, Statistics, Mathematics, or a related field.

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Proven experience as a Data Scientist, with a strong portfolio of initiatives that have generated measurable results.

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Deep expertise in statistical modelling and machine learning techniques.

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Proficiency in Python and SQL.

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Experience with data visualisation tools, such as Tableau

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Strong problem-solving skills and attention to detail.

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Excellent communication and collaboration skills.

What we offer: ** **

- Collaborative and inclusive work environment.
- Career growth and development opportunities.
- Flexible work hours.
- A team of specialists in different areas to learn from (machine learning, data science, data engineering, BI architecture, Google Analytics implementation).
- The position is based in Stockholm where we offer hybrid work options (you are however expected to be in the office at a minimum 2 days per week)

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Important note: A Swedish work permit is required for this position.

The interviews will be held on an ongoing basis, so please apply as soon as possible!

Lendo, part of Lendo Group, is a leading marketplace for loans. On our marketplace people seek guidance, browse, get and manage consumer loans, car loans, credit cards, business loans and mortgages. Today we operate in Scandinavia including 250+ employees working each day to empower people to make smart financial decisions that actually make a difference in their lives. Since our humble beginning back in 2007, we have helped thousands of people get a fair price on loans, get in control and let the lenders compete for their business.

Since the launch, we have worked hard to make the market for loans more transparent and digital. After the success in Sweden, we expanded into the Scandinavian countries of Norway and Denmark.

Since 2009 Lendo is also a part of the Schibsted family of brands.

Lendo has always been about helping people keep control over their personal finances and lenders finding quality customers. As a leader in our category, we have made it easier for people to get a fair price on loans, often reducing their interest substantially.

We believe in a market built on trust and transparency. This is why we strive for openness between our customers and partners.

Detta är en jobbannons med titeln "Data Scientist" hos företaget Schibsted Sverige AB och publicerades på webbjobb.io den 11 april 2024 klockan 11:14.

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