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Salary
$50k – $89k per year (gross)
Location
In office (Vilnius)
Seniority
Senior
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 24, 2026. First seen by Alion on Oct 21, 2026. Artea scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Bankas su plačiu skyrių tinklu visoje šalyje. Skiriame dėmesį žmogiškajam ryšiui, suprantame klientų poreikius, sprendimus priimame greitai ir vietoje.

At Artea, we believe that data can help us better understand our customers and make smarter decisions.

We are looking for aSenior Data Scientist - Marketing to join our Data Science team and help us turn customer and business data into actionable insights and data-driven solutions.

In this role, you will work at the intersection of Data Science, customer behaviour and marketin g, solving complex analytical problems and developing models that help us better understand our customers, personalise their experience and improve the effectiveness of our marketing activities.

You will collaborate closely with Marketing, Customer Experience, Product, Data and Technology teams, taking data science solutions from identifying a business problem through modelling, experimentation and implementation.

Every day, you’ll be #closer and:

  • Develop marketing attribution models to measure the impact of different channels and customer touchpoints.

  • Build LTV and payback models to support marketing investment decisions.

  • Develop Marketing Mix Models (MMM) to optimise marketing effectiveness and budget allocation.

  • Analyse customer, transactional and marketing data to identify growth opportunities and actionable insights.

  • Build the data and measurement setup needed for high-scale expansion.

  • Work closely with Marketing, Data, Product and Technology teams to turn business questions into scalable data science solutions.

  • Design and evaluate experiments and A/B tests to measure the impact of marketing and customer initiatives.

To be #closer, you’ll need:

  • Solid professional experience in Data Science, Machine Learning, Advanced Analytics or a related field.

  • Strong hands-on experience with Python and relevant data science libraries.

  • Strong SQL skills and experience working with large datasets.

  • Strong understanding of statistics, probability and machine-learning methods.

  • Experience with at least some of the following:

customer segmentation;

propensity modelling;

churn prediction;

recommendation models;

experimentation / A/B testing;

customer lifetime value;

behavioural analytics.

  • Strong analytical and problem-solving skills.

  • Ability to translate business questions into data science problems and practical solutions.

Being #closer means you’ll get:

  • The green light for your ideas. Your suggestions will be heard - we value independence, curiosity, and initiative.

  • A manager who helps you grow. You’ll get clear direction and support while having plenty of freedom to act, learn, and develop.

  • An organisation that is changing. Joining Artea means more than just a new name - it means new ideas, perspectives, and opportunities to help shape our culture from within.

  • Achievements rooted in Lithuania. We’re especially proud to be a Lithuanian bank. We believe our country and our people are unique, and we do everything we can every day to help them realise their potential.

  • A personal benefits package. Health insurance, a pension savings programme, additional days off, flexible working hours, modern infrastructure - and that’s far from the complete list of benefits!

  • Competitive compensation. Your salary will depend on your experience and competencies, so we’re providing an indicative range ofEUR 3,700.00 - 6,600.00 gross per month.

  • Performance bonuses. Our employees can earn bonuses based on the performance of the bank, their team, and their own individual performance.

What else is important?

Want to experience what it means to work at Artea bank? Fill in the form and send us your information by 30 November 2026, and let’s talk.

We can’t wait to show you what it’s like to be #closer!

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