Data Scientist

Role :

The Data Scientist / Quant Developer will contribute to and help scale the growing project ecosystem within the Machine Learning – Predictive Data & Advanced Analytics team , with a strong emphasis on Generative AI .

The role requires deep quantitative and data science expertise combined with strong software engineering skills to design, prototype, and deploy scalable, cloud‑based analytics and AI solutions.

Key Responsibilities

• Design, develop, and deploy advanced data science and predictive analytics solutions , with a focus on Generative AI use cases
• Prototype and build custom analytics tools and data products using strong software development practices
• Work on end‑to‑end data science pipelines , including:
• Problem definition and scoping
• Data acquisition and preparation
• Exploratory data analysis (EDA)
• Model development and validation
• Insights generation, visualization, and storytelling
• Model deployment, monitoring, and maintenance
• Apply machine learning, data mining, NLP, and optimization techniques to correlate diverse datasets and extract business value
• Design and implement scalable, cloud‑based analytics architectures in collaboration with cross‑functional teams
• Work with streaming and batch data processing frameworks to support real‑time and large‑scale analytics
• Stay current with emerging technologies and best practices in Gen AI, ML, and advanced analytics , and apply them pragmatically to business problems
• Clearly articulate analytical findings, recommendations, and trade‑offs to both technical and non‑technical stakeholders

Required Skills & Experience

• E xperience in Data Science, Quantitative Analytics, Predictive Analytics, or similar advanced analytical roles
• Strong software development background with the ability to prototype and productionize analytics solutions
• Hands‑on experience in data analysis and exploration across large and diverse datasets
• Experience with streaming and/or batch analytics frameworks (e.g., Kafka, Spark, Flink )
• Solid experience in machine learning, statistical modeling, optimization, and numerical methods
• Practical exposure to Generative AI, NLP, and modern ML techniques in real business applications
• Strong analytical thinking, learning agility, and the ability to work independently as well as collaboratively
• Proven ability to form insights, develop opinions, and clearly communicate them to the team
• Strong English communication skills (written and spoken)