Track This Job
Add this job to your tracking list to:
- Monitor application status and updates
- Change status (Applied, Interview, Offer, etc.)
- Add personal notes and comments
- Set reminders for follow-ups
- Track your entire application journey
Save This Job
Add this job to your saved collection to:
- Access easily from your saved jobs dashboard
- Review job details later without searching again
- Compare with other saved opportunities
- Keep a collection of interesting positions
- Receive notifications about saved jobs before they expire
AI-Powered Job Summary
Get a concise overview of key job requirements, responsibilities, and qualifications in seconds.
Pro Tip: Use this feature to quickly decide if a job matches your skills before reading the full description.
Looking to leverage your expertise? Join us as a Data Scientist and drive strategic insights in a dynamic, growing team!
About The Role
Data Scientist plays a crucial role in guiding decisions related to both commercial and private customer journeys and their impact on business processes. This role provides valuable insights, enhance data analytics, test different hypotheses, and lead projects aimed at improving the efficiency of an organization.
You will be responsible for
- Serving as the advocate for customer and data insights within the organization, promoting the broader usage of findings.
- Utilizing advanced techniques like machine learning to analyse, predict, and provide insights into customer behaviour.
- Creating and maintaining churn models and recommendation systems.
- Predicting, experimenting, and doing statistical hypothesis testing such as A/B testing.
- Enhancing understanding of necessary data and data sources in the field of customer analytics.
- Investigating and proposing the usage of new data sources.
- Working with both structured and unstructured data, building datasets and generating reports for widespread organizational use.
- Engaging in projects, taking on leadership roles and collaborating with other units to enhance the efficiency of the organization.
What do we expect from you?
- Strong interest in the field of Data Science and Data Engineering.
- Passion for working with numbers and leveraging large amounts of data to make informed business decisions.
- Proven work experience in an analytical, actuarial, or data science position.
- Degree in mathematics, statistics, econometrics, or IT.
- Proficiency in SQL, data visualization tools, Azure Data Factory, Databricks, and Python.
- Fluency in English, with the ability to understand one of the Baltic languages.
Nice to have:
- Work experience in an Agile environment.
- Project management capabilities.
- Change management practices.
- Exceptional communication skills, with a passion for learning and knowledge sharing.
- Ability to work collaboratively across functions in an international setting.
Our promise to you
For stability
- Monthly salary: €3700-4500 gross, if you are employed in Lithuania; €2900-3700 gross, if you are employed in Latvia; €3600-4400 gross, if you are employed in Estonia*. Additionally, there is an annual bonus. (*Please note that the specific amount varies due to different employment taxation in Baltic countries.)
- We offer various financial benefits, including discounts on our products for both you and your family, special gifts for birthdays, among other perks.
- Our primary workplace is the office, but there is a possibility of hybrid work.
- Job location is in Vilnius, Riga, Tallinn.
For development
- Stimulating and exciting projects with the freedom to independently plan your tasks.
- Access to personal development and training opportunities.
- Experience a strong international company culture, including company events, captivating speakers, and other inspiring initiatives.
For wellbeing
- Prioritize your wellbeing with health insurance, additional vacation days, different activities in the office, and more.
Explore further details about our employee benefits program in Lithuania, Latvia, or Estonia.
Application deadline: February 8, 2026
In case you have any questions, you can contact your possible future leader – Head of Data Unit Ramunė Šabanienė.
Join us!
By submitting your application, you accept our privacy notice.
Key Skills
Ranked by relevanceReady to apply?
Join If Insurance Baltic and take your career to the next level!
Application takes less than 5 minutes

