Data Scientist

• Provide analytical input and explain methods clearly to internal teams.
• Guide and support the development of proposals by providing methodological ideas and data science recommendations.
• Drive the integration of new tools, including GenAI, synthetic data models, and automation solutions, to meet client needs.
• Work closely with specialized data science teams across multiple countries to provide excellent service in a fast-paced environment.
• Lead the execution of day-to-day requests by writing clean, well-structured Python code to prepare data and run models.
• Support the setup, execution, and quality control of analytical pipelines, checking data and outputs thoroughly.
• Develop working knowledge of GenAI tools, APIs (e.g., LiteLLM, OpenAI, Langchain), and LLM-based workflows.
• Create analytical deliverables such as code, outputs, and documentation while continuously seeking improvements.
• Produce accurate, well-structured analytical outputs and write commentary to provide recommendations.
• Prepare, plan, and prioritize tasks effectively using tools like Jira to ensure deliverables are sent to schedule.
• Apply Ipsos’ quality, safety, and MRS Code of Conduct principles in all project work.

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Data Scientist