Lead Data Scientist

Riverstone Talent; Bengaluru; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

Riverstone Talent in Bengaluru seeks a data science professional to translate business problems into statistical framing, perform exploratory analysis, and build predictive models. The role emphasizes collaboration with data engineering and product teams and applying advanced ML techniques for performance improvements.

The candidate should have strong Python skills, experience in BFSI domain is beneficial, and be capable of conducting independent research to validate findings.

Qualifications

• Strong theoretical foundation in statistics and mathematics.
• Hands-on Python programming and ML model development.
• Experience with data exploration, preprocessing, and feature engineering.
• Familiarity with supervised/unsupervised learning and time-series forecasting.

Responsibilities

• Understand business problems from an analytical and statistical standpoint and define clear problem statements
• Identify data requirements and perform exploratory data analysis to discover trends and patterns
• Pre-process structured and unstructured data for modelling
• Build, evaluate, and improve predictive models and machine learning algorithms
• Collaborate with engineering and product development teams for product enhancement
• Identify statistical techniques to improve data engineering and model-building processes
• Conduct independent research to improve machine learning model performance

Skills

Python

Statistics

Mathematics

Time-series forecasting

Machine learning algorithms

Communication

Education

Master's in Statistics / Mathematics / Operations Research / Economics

Bachelor's in Engineering

MBA in Business Analytics / Data Science

Tools

PySpark

SQL

Job description

Role & responsibilities

• Understand business problems from an analytical and statistical standpoint and define clear problem statements
• Identify data requirements and perform exploratory data analysis to discover trends and patterns
• Pre-process structured and unstructured data for modelling
• Build, evaluate, and improve predictive models and machine learning algorithms
• Collaborate with engineering and product development teams for product enhancement
• Identify statistical techniques to improve data engineering and model-building processes
• Conduct independent research to improve machine learning model performance

Preferred candidate profile

• Master's in Statistics / Mathematics / Operations Research / Economics, or Bachelor's in Engineering, or MBA in Business Analytics / Data Science
• 58 years of work experience in the BFSI domain
• Strong hands-on experience in Python (must-have); PySpark and SQL preferred but not mandatory
• Solid applied statistics, mathematics, and algebra skills
• Strong understanding of machine learning algorithms including supervised and unsupervised ML, neural networks, deep learning, and time-series forecasting
• Research-oriented mindset with the ability to conduct independent research and validate findings
• Strong communication and presentation skills