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About The Company
LITIT, a joint venture between NTT DATA and Reiz Tech, is a company with deep-rooted industry know-how, dedicated to innovation within the IT sector. Its primary focus is delivering high-quality solutions in the DACH region. With a commitment to excellence, LITIT combines the best of German precision, Japanese work ethics, and Lithuanian talent to provide unparalleled IT service and support to its clients.
About The Client
The client is a large, established European insurance group with a strong international presence, providing insurance and risk solutions to private and corporate customers, and actively investing in data, analytics, and AI-driven transformation.
About The Role
The client is setting up dedicated teams to develop AI solutions for targeted business opportunities in the underwriting and claims domain. The Data Scientist / Data Engineer will be embedded in a delivery team and assigned to specific AI use cases based on their expertise. The role requires deep engagement with each use case, a strong understanding of the business context, and a results-oriented mindset to identify and implement the most effective AI solutions through iterative development.
Responsibilities
LITIT, a joint venture between NTT DATA and Reiz Tech, is a company with deep-rooted industry know-how, dedicated to innovation within the IT sector. Its primary focus is delivering high-quality solutions in the DACH region. With a commitment to excellence, LITIT combines the best of German precision, Japanese work ethics, and Lithuanian talent to provide unparalleled IT service and support to its clients.
About The Client
The client is a large, established European insurance group with a strong international presence, providing insurance and risk solutions to private and corporate customers, and actively investing in data, analytics, and AI-driven transformation.
About The Role
The client is setting up dedicated teams to develop AI solutions for targeted business opportunities in the underwriting and claims domain. The Data Scientist / Data Engineer will be embedded in a delivery team and assigned to specific AI use cases based on their expertise. The role requires deep engagement with each use case, a strong understanding of the business context, and a results-oriented mindset to identify and implement the most effective AI solutions through iterative development.
Responsibilities
- Develop scalable data and analytics infrastructures to support the development and deployment of GenAI solutions.
- Develop and refine (Gen)AI models, prompts, and associated analytical components.
- Understanding how (Gen)AI meets business requirements and translating this into technically feasible, value-oriented solutions.
- Leading data integration activities and ensuring robust operational deployment of (Gen)AI pipelines.
- Ensuring data quality, compliance, and risk control across all workflows—from data ingestion and transformation to model development and deployment.
- Work to identify capacity and competency requirements to support the overall AI roadmap.
- Support cross-functional teams in implementing scalable patterns, reusable components, and well-managed AI assets across the enterprise.
- Responsibility for data acquisition, transformations, and evaluation metrics for (Gen)AI workflows.
- Deliver high-quality agent logic and performance insights to improve (Gen)AI workflows.
- Proficiency with big-data tools (e.g., Spark, Hadoop) and modern data architectures.
- Strong experience in ML models with corresponding frameworks (e.g., sklearn, etc.) and how to test and monitor these.
- Experience with (Gen)AI, LLM frameworks (e.g., LangChain) and methods (e.g., Transformers, RLHF, fine-tuning).
- Strong programming skills (especially Python, SQL, and at least one additional language).
- Experienced in using visualization/dashboard frameworks from the Python universe (e.g., streamlit, plotly, bookeh).
- Experience deploying (Gen)AI pipelines (prompt chains, embeddings, retrieval systems, vector databases) into production environments.
- Familiarity with cloud (Gen)AI platforms (Azure OpenAI, AWS Bedrock, GCP Vertex AI).
- Experience with analytics or visualization tools (e.g., Power BI, Tableau).
- The role includes an initial on-site presence in Hanover (only during the first weeks).
- Willingness and readiness to travel as required by project or client needs is expected. This may include occasional domestic or international travel, sometimes on short notice.
- Learning opportunities with compensated certificates, learning lunches, and language lessons.
- Chance to switch projects after one year.
- Team building twice a year.
- Office in Vilnius, Lithuania that offers themed lunches and a pet-friendly environment.
- Remote work opportunities.
- Flexible time off depending on a project.
- Seasonal activities with colleagues.
- Additional health insurance and loyalty days for Lithuanian residents.
- Referral bonuses.
- Recognition of important occasions of your life.
Key Skills
Ranked by relevance
ai
python
streamlit
embedded
power bi
hadoop
cloud
spark
sql
aws
gcp
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- Posted
- Jan 29, 2026
- Type
- Full-time
- Level
- Not Applicable
- Location
- Lithuania
- Company
- LITIT
Industries
IT Services
IT Consulting
Categories
Information Technology
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3 roles aligned with this opportunity
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