• Own and manage the data pipeline for updating and adding records to our internal database of contact and company information • Complete data analysis requests for the engineering and product team • Evaluate and configure new data services • Own the overall improvement of our internal database of contacts and company records

• Design scalable data processing pipelines for streaming and batch processing using Big Data technologies like Databricks, Airflow and/or Dagster. • Contribute to the development of CI/CD and MLOps processes. • Develop applications to aggregate, process, and analyze data from diverse sources. • Collaborate with the Data Science team on Machine Learning projects, including text/image analysis and predictive model building. • Develop and organize data transformations using Databricks/DBT and Apache Airflow. • Translate business requirements into technical solutions and ensure optimal performance and quality.

• Develop and maintain a high-performance data processing platform for automotive data, ensuring scalability and reliability. • Design and implement data pipelines that process large volumes of data in both streaming and batch modes. • Optimize data workflows to ensure efficient data ingestion, processing, and storage using technologies such as Spark, Cloudera, and Airflow. • Work with data lake technologies (e.g., Iceberg) to manage structured and unstructured data efficiently. • Collaborate with cross-functional teams to understand data requirements and ensure seamless integration of data sources. • Monitor and troubleshoot the platform, ensuring high availability, performance, and accuracy of data processing. • Leverage cloud services (AWS) for infrastructure management and scaling of processing workloads. • Write and maintain high-quality Python (or Java/Scala) code for data processing tasks and automation.

Role Description Within the telecommunications domain, we are actively seeking a Senior Data Scientist to strengthen our team focused on building AI-driven solutions that enhance customer experience and operational efficiency. - You will be working on advanced Generative AI use cases, including conversational AI (chatbots and voice bots), as well as internal AI tools that support business teams in their daily operations. - The role involves designing and scaling solutions such as RAG-based systems and intelligent assistants, enabling both customer-facing and internal automation scenarios. Qualifications - Master’s degree in AI, Machine Learning, Data Science, or a related field - 3–6 years of experience as a Data Scientist (preferably at Senior level) - Strong expertise in AI/ML and practical experience delivering business-impacting solutions - Hands-on experience with Generative AI, especially LLMs - Experience with NLP use cases (e.g. chatbots, voice bots, text processing) - Solid programming skills in Python and experience working with APIs, SQL, and Git - Experience designing and implementing production-ready solutions - Ability to communicate complex technical concepts to non-technical stakeholders Requirements - Experience with telecom domain or customer-facing digital products (nice-to-have) - Knowledge of Agentic AI, RAG systems, vector databases, and chunking strategies (nice-to-have) - Familiarity with LLM frameworks such as LangChain, LlamaIndex, LangGraph, AutoGen, or similar (nice-to-have) - Experience with AWS and/or on-premise deployments (nice-to-have) - Knowledge of Docker, Airflow, CI/CD pipelines (e.g. GitHub Actions/Runners) (nice-to-have) - Experience with Google AI/NLP ecosystem (nice-to-have) Benefits - At Avenga, everyone matters. We provide equal opportunities in recruitment, career development, and leadership, regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. - We are committed to fostering a work environment where our diverse community of employees, candidates, and business partners actively shapes our growth. - By bringing together people from different backgrounds and experiences, we build a workplace where everyone feels free to be themselves while honoring the boundaries of others.