Data Scientist (Gen AI)

Role Overview

This opening is for a Data Scientist focused on Generative AI and machine learning work in Noida, India. The position involves building data-driven solutions for business challenges, with an emphasis on advanced analytics, model development, and stakeholder collaboration.

What You Will Do

• Partner with business and data teams to shape, design, and build modern AI/ML and GenAI methods that address practical business needs.
• Work with both structured and unstructured datasets from multiple sources to answer business questions and solve process-related problems across functions.
• Present findings and recommendations in a clear way to non-technical audiences so they can act on the insights.
• Improve the quality, accuracy, and performance of existing machine learning and AI models through tuning and optimization.
• Maintain strong data privacy and security standards throughout the AI solution lifecycle.
• Build and support GenAI use cases for NLP using LLMs such as GPT, Flacon, and LLaMA, as well as computer vision use cases using GANs, diffusion models, and similar approaches.
• Apply SQL, Python, and data modeling techniques along with advanced analytics, machine learning, NLP, statistical analysis, data mining, and text mining methods.
• Create and maintain code standards, presentations, and other documentation based on stakeholder needs.
• Work closely with client teams to build stakeholder relationships, spot new opportunities, and identify areas for growth.
• Support project, client, and team management by tracking deliverables, monitoring progress, and resolving issues promptly.
• Investigate pain points, diagnose inefficiencies, and help find practical solutions to operational problems.
• Provide technical guidance on data modeling, data manipulation, visualization, predictive modeling, and reporting across insurance value chain projects.
• Facilitate client working sessions and lead recurring project status meetings.

Candidate Profile

• A bachelor’s or master’s degree in economics, mathematics, computer science, engineering, or a related discipline is expected; candidates with BA/BSc degrees from top-tier institutions in these fields are also considered. Professional certifications such as CFA, CA, or FRM are preferred.
• Experience of about 4 to 8 years in data science, ideally within finance-related work such as FP&A, forecasting, expenses, premiums, capital, or budgeting.
• Hands-on experience building large-scale machine learning or deep learning models, including LLM-based solutions.
• Practical exposure to Python and deep learning libraries such as TensorFlow, PyTorch, and Keras.
• Familiarity with integration tools such as APIs and cloud platforms such as Snowflake will be an advantage.
• Comfort with ambiguous requirements and the ability to carry out ad hoc analysis to solve loosely defined problems.
• Strong achievement orientation, sound analytical thinking, and a proactive, hands-on working style.
• Excellent written and spoken communication skills.
• Ability to thrive in a fast-moving, continuously changing environment and take on challenging work.
• Capacity to work effectively across cultures and collaborate with clients in different geographies.

Eligibility

Applicants should be any graduate, with the preferred academic background and experience described above.

Additional Information

This role is based in Noida, India, and is intended for experienced professionals with 3 to 9 years of total experience as indicated in the title, while the detailed candidate profile highlights 4 to 8 years in data science. The work includes client-facing coordination, project tracking, issue resolution, and technical leadership across analytics and AI initiatives.