We invite you to join the UAB „LTG Link“ team – a motivated and action- driven group of people

We care about achieving high results while staying true to our values. We welcome and appreciate everyone, because a diversity of ideas enables us to realize even the most ambitious business goals.

We grow continuously by seeking feedback proactively, not waiting for it to be given, because we believe learning is a lifelong journey.

We strive to be open, as we want collaboration to be built on trust.

Main responsibilities:

• Design, develop, and improve Machine Learning and AI models
• Analyze large datasets to identify trends, insights, and business opportunities
• Apply Deep Learning, forecasting, and optimization techniques to solve business challenges
• Design, execute, and evaluate A/B tests
• Work with Python, PyTorch, TensorFlow, Scikit-learn, Pandas, and NumPy
• Develop Power BI dashboards and data visualizations
• Collaborate closely with product, IT, and business teams to deliver data-driven solutions
  
  

What do we expect?

• Experience in Data Science
• Strong Python and data analytics skills
• Hands-on Machine Learning and Deep Learning experience
• Knowledge of statistics, experimentation and A/B testing
• Ability to communicate complex insights clearly

Benefits for employees:

• We open the doors to contribute to the activities of a strategically important company for Lithuania
• We offer a flexible work schedule and the possibility to work in a hybrid mode
• You can enjoy free train travel
• Opportunities for internal career development and professional growth await
• We provide additional health insurance
• We ensure accident insurance coverage
• We encourage taking advantage of additional paid leave days
• We promote saving together with partner discounts in the MELP app
• We cultivate a strong culture based on trust, collaboration, and meaningful values

Monthly salary: €2,980.00 - €4,470.00 (before taxes). The specific salary offered depends on work experience and competencies.

The selection process may end sooner, regardless of the advertisement's validity period, so we recommend applying as early as possible.