Ready to redefine how millions of users find information?

Our client operates large-scale digital platforms that are used daily across websites, applications, and internal tools. To continuously improve the user experience, our client is building next-generation search solutions that go beyond traditional keyword-based search. These solutions combine semantic search, embeddings, and generative AI to deliver faster, more relevant, and more intuitive access to information.

This role sits at the core of innovation. As a Data Scientist, you will design and deploy AI-driven search solutions while ensuring transparency, explainability, and compliance with enterprise AI governance standards.

Your Team & Environment:

You will join a multidisciplinary product team consisting of experienced developers, a Scrum Master, and a Product Owner. The team is technically strong, highly collaborative, and eager to deepen its understanding of data science and AI-driven decision-making.

Together with this team, you will build scalable, production-ready solutions that responsibly integrate generative AI into real-world search systems. Your work will directly impact digital platforms used by a large and diverse user base.

Key Responsibilities:

• Develop, train, and deploy machine learning models for semantic search and personalization
• Fine-tune and evaluate embedding models and hybrid retrieval logic within Elasticsearch-based search architectures
• Research, design, and implement LLM-based solutions for summarization, metadata generation, and related use cases
• Translate business and user needs into scalable data products and actionable insights
• Design clear dashboards and apply strong data storytelling to communicate insights and enable data-driven decision-making
• Collaborate closely with developers, Product Owner, and Scrum Master to scale AI solutions effectively
• Support enterprise AI governance processes, including privacy impact assessments, model documentation, and approval workflows
• Monitor, evaluate, and continuously improve model performance, robustness, and explainability
• Actively coach and guide the team in working effectively with data and establishing strong, sustainable data science processes

Must-Have Qualifications:

• 3+ years of experience in machine learning and natural language processing (NLP)
• Strong hands-on experience with semantic search, embeddings, and LLM integration
• Proven experience working with Elasticsearch and hybrid search architectures
• Solid experience with Python, including data engineering and ML pipelines
• Hands-on experience with PyTorch, spaCy, or similar NLP frameworks
• Experience with model explainability, monitoring, and performance evaluation
• Knowledge of CI/CD pipelines and software development best practices
• Experience creating dashboards and applying data storytelling techniques
• Strong communication skills, with the ability to explain complex AI concepts to non-technical stakeholders
• Experience working in agile, multidisciplinary teams
• Ability to balance innovation with compliance, governance, and responsible AI practices