Expert, Data Scientist

We are seeking an Expert Data Scientist with strong experience in AI solution development with a focus on Generative AI, / agentic AI systems.

Join us as a Senior Data Scientist and turn complex data into transformative business solutions.

You'll lead the development of predictive models that drive strategic decisions and create measurable impact across the organization.

About the Role

You have a proven expertise in Data Science and Machine Learning, and in generative AI and agentic AI.

In this role, you will lead the design and delivery of scalable, production-ready solutions using a Python and LangChain-based stack, including LangSmith and LangGraph.

You will also work closely with business teams to uncover insights from data and translate them into measurable impact, with a strong commitment to Responsible AI and focus on observability and monitoring of the solutions.

Responsibilities

Solution Development


* Design, Implementation, Deliver, and Support AI solutions to be incorporated in products, systems and


* solutions


* Build and deploy LLM-powered applications, including RAG pipelines, multi agentic AI Solutions, relying on the LangChain ecosystem, including tool-using agents, multi-agent orchestration, and memory-enabled systems.


* Ensure observability on genAI/agenticAI solutions and optimal trade-off between accuracy, latency, and cost.Build reusable frameworks, APIs, and components that accelerate AI adoption across the organisation.


* Ensure reproducibility, traceability, and quality through disciplined engineering practices, including GitHub, and Markdown.


* Lead code reviews and maintain high standards for coding, testing, and documentation.

Quality and Observability


* Define robust evaluation frameworks, including A/B testing, benchmarking, and offline/online performance metrics.


* Establish scalable MLOps and LLMOps practices covering model lifecycle management, monitoring, governance, and deployment.


* Drive adoption of LangSmith for observability, tracing, experiment tracking, and prompt/version management.

Reserach and Innovation


* Stay current on advances in LLMs, agentic AI, and the broader AI landscape, and apply them to high-value enterprise use cases.


* Contribute to anticipation/upstream projects as well with technological & scientific watch, IP valorization (patents, publication)


* Promote a culture of experimentation, innovation, and responsible AI, with a focus on fairness, ethics, and trust.

Leadership and Stakeholder Management


* Technically lead a set of AI UC related to internal AI solutions development


* Contribute to the quarterly planning and load estimation


* Escalate the risks to the AI solution leadership team


* Provide technical leadership and mentorship to data scientists and ML engineers.


* Communicate complex AI and statistical concepts clearly to non-technical audiences through strong storytelling and visualis...