Data Scientist

We have exciting opportunities for the role Data Scientist

Location: Mumbai

Interested candidate can share resume on [Confidential Information] with Data Scientist subject line and share below details.

Current Salary

Expectation

Notice Period

Education (Full Time / part Time)

Experience: 2–5 years

Location: Mumbai

Department: Data Science

Employment Type: Full-Time

About the Role

We are seeking a seasoned Senior Data Scientist to join our dynamic Data Science & Analytics team in Mumbai. In this role, you will lead the end-to-end development and deployment of data-driven solutions, from problem definition to production monitoring. You will leverage your strong foundation in statistics, machine learning, and Generative AI to drive significant business impact and mentor junior team members. This is an opportunity to work on complex, real-world problems in a fast-paced, collaborative environment.

Key Responsibilities

End-to-End Project Leadership: Take ownership of data science projects, from initial research and experimentation to scalable deployment, monitoring, and ongoing optimization.

Model Development: Design, build, and optimize advanced statistical and machine learning models to solve complex business problems.

LLM & Generative AI: Research and implement innovative LLM/GenAI solutions, including advanced prompt engineering, Retrieval-Augmented Generation (RAG) frameworks, and parameter-efficient fine-tuning for specific business needs.

Cross-functional Collaboration: Partner with product, engineering, and business stakeholders to translate complex challenges into actionable data science solutions and communicate findings effectively to technical and non-technical audiences.

Mentorship: Guide and mentor junior data scientists and analysts, fostering a culture of technical excellence and continuous learning.

Infrastructure & Deployment: Work with data engineering teams to design scalable data models and robust, automated ML pipelines using MLOps best practices and cloud services (AWS/GCP/Azure).

Performance Monitoring: Implement monitoring frameworks to track and enhance the performance of deployed models.

Core Technical Skills

• Machine Learning & Statistics:
• Strong foundation in supervised & unsupervised ML algorithms, evaluation metrics, and feature engineering.
• Practical experience with hands-on modelling and experimentation.
• LLM & Generative AI:
• Conceptual and practical understanding of LLM architecture, prompt engineering, RAG, parameter fine-tuning, and LLM evaluation/monitoring.
• Exposure to vector databases
• Executed at least 1 impactful LLM/GenAI implementation in real-world settings.
• Programming:
• Proficiency in Python, R, and SQL for model development and data analytics.
• Deployment & Automation:
• Experience with cloud platforms (AWS/GCP/Azure)
• API integration and orchestration for scalable solutions.
• Practical experience with MLOps tools like MLflow, Docker, or Kubernetes for CI/CD pipelines.

Soft Skills

• Strong analytical thinking and structured problem-solving ability.
• Excellent interpersonal communication and stakeholder engagement.
• Ability to work in a fast-paced, collaborative environment and lead through influence.
• High ownership and drive to deliver measurable impact.
• Collaborate with product, engineering, and business stakeholders to translate complex AI solutions into business impact.

Educational Background

• Bachelor's/Master's degree in Computer Science, Data Science, Statistics, Mathematics
• Equivalent industry experience with strong hands-on contributions will be preferred.

Regards,

Saba