Data Scientist

• Partner with Product and BI to turn business goals into well-scoped ML problems with clear success criteria and guardrails
• Build and productionize models for segmentation, churn, LTV, and recommendations
• Design evaluation frameworks including offline benchmarks and online feedback loops to ensure models are measured, not assumed
• Collaborate with Engineering on production design considerations like latency, payload structure, fallbacks, and failure modes
• Monitor model performance over time, detect drift, and own retraining and iteration cycles
• Use product telemetry and user feedback to drive continuous model and feature improvements
• Work alongside AI coding agents to accelerate development (pipelines, tests, refactoring, exploration) while maintaining human oversight
• Communicate results, trade-offs, and recommendations clearly across technical and non-technical teams

• Collect and validate data from various sources to train our LLM.
• Analyze, review, and accurately label text data based on predefined guidelines.
• Ensure the consistency and quality of labeled data by following established protocols.
• Provide feedback on labeling guidelines and suggest improvements.
• Work closely with data science and engineering teams to meet project goals.
• Participate in daily standups and collaborate on projects.

Data Scientist Intern

• Lead commercial analytics activities for the local market and support cluster/regional needs as required
• Translate sales, market, and performance data into clear commercial insights that support decision‑making
• Develop and maintain reports, dashboards, and performance trackers to monitor sales effectiveness, portfolio performance, and key KPIs
• Act as a thought partner to Sales and Commercial leaders , providing data‑driven perspectives and recommendations
• Coordinate data collection and ensure data accuracy, consistency, and reliability
• Collaborate closely with commercial data specialists and other internal stakeholders
• Support the development and continuous improvement of analytics tools and processes
• Build deep business understanding of channels, customers, and market dynamics

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Data Scientist

Data Scientist Intern

Commercial Analytics Lead – Pharmacy, Modern Trade