Data Scientist

We are looking for a Data Scientist at Elo, a Finnish insurance company based in Espoo. This role involves analyzing data, developing machine learning models, and using artificial intelligence to support customer acquisition and care, as well as improving the overall customer experience. The successful candidate will work closely with business teams, data engineers, architects, and contribute to the design of new analytics solutions on Azure, Fabric, and Databricks platforms. They should have a higher university degree in Data Science or related fields, strong Python skills, machine learning expertise, visualization tools proficiency (e.g., Power BI, Streamlit), and experience with cloud environments like Azure, Fabric, and Databricks.

What We Offer

The benefits, resources, and opportunities we offer to support a positive work experience and long-term growth are listed below:

• An interesting role at the interface of insurance business, data, and new technologies.
• Modern tools and opportunities for developing your analytics, modeling, and AI skills.
• Comprehensive orientation towards supporting Elo's insurance business development.
• A work community that values competence, development, and well-being with flexible remote work options.

What We Expect

The qualities, work ethics, and standards we expect to maintain a productive and respectful workplace are listed below:

• Applicable higher university degree.
• Experience as a data scientist.
• Experience with analytics cloud environments and platforms such as Azure, Fabric, and Databricks.
• Strong Python skills.
• Experience with machine learning models and using artificial intelligence.
• Experience with visualization and analytics tools (e.g., Power BI, Streamlit).

Responsibilities

This opportunity is for motivated, responsible individuals eager to learn and thrive in a team-oriented environment, who possess the qualities mentioned below:

• Analyze data, make predictions, develop machine learning models and artificial intelligence solutions.
• Visualize results and build analytics applications.
• Type of employment.

How to Apply?

If you are interested in joining the team and taking the next step in your professional journey, please follow the instructions below to submit your application.

Please provide your updated resume, relevant documents, and any other requested information. Applications will be reviewed carefully, and suitable candidates will be contacted for the next steps in the selection process.

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