Lead AI Analyst

Impact Analytics; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Impact Analytics is seeking a Lead AI Analyst in Bengaluru, Karnataka, to spearhead a team of Data Scientists. This role focuses on translating business objectives into data science problems, ensuring high-quality prediction systems are developed and maintained. The ideal candidate has over 6 years of experience in Data Analytics and a solid understanding of predictive analytics. This position involves leadership responsibilities, innovative model development, and impactful business analysis.

Qualifications

• 6+ years of experience in Data Analytics, Model development, and deployment.
• Strong forecasting experience.
• Exposure to developing predictive analytics and machine learning algorithms.
• Knowledge of data management and visualization techniques.
• Hands-on experience of SQL, R, Python, Hadoop.
• Experience managing teams of at least 2-3 members.
• Strong organizational and leadership skills.

Responsibilities

• Understand business objectives and formulate the problem as a Data Science problem.
• Develop and maintain robust data processing and modelling pipelines.
• Explore data and communicate insights clearly.
• Manage a team of data scientists and senior data scientists.
• Analyze experimental results and refine models for business impact.
• Build analytic systems and predictive models.
• Test performance of data-driven products.
• Experiment with new models and techniques.

Skills

Data Analytics

Model development

Machine learning algorithms

Data management

Data visualization techniques

SQL

R

Python

Hadoop

Team management

Education

B Tech/BE degree in Computer Science, Data Science, Mathematics, or similar field

Job description

Overview

ImpactAnalytics™ (Series D Funded) delivers AI-native SaaS solutions and consulting services that help companies maximize profitability and customer satisfaction through deeper data insights and predictive analytics. With a fully integrated, end-to-end platform for planning, forecasting, merchandising, pricing, and promotions, ImpactAnalytics empowers companies to make smarter decisions based on real-time insights rather than relying on last year’s inputs to forecast and plan this year’s business. Powered by over one million machine learning models, Impact Analytics has been leading AI innovation for a decade, setting new benchmarks in forecasting, planning, and operational excellence across the retail, grocery, manufacturing, and CPG sectors. In 2025, Impact Analytics is at the forefront of the AgenticAI revolution, delivering autonomous solutions that enable businesses to adapt in real time, optimize operations, and drive profitability without manual intervention. Here’s a link to our website: www.impactanalytics.co.

Role

Lead AI Analyst will lead a team of Data Scientists / Senior Data Scientists and help us discover the information hidden in vast amounts of data, make smarter decisions to deliver even better products. The primary focus will be in leading the application of data mining techniques, doing statistical analysis, and building high-quality prediction systems integrated with our products.

Responsibilities

• Understanding business objectives and formulate the problem as a Data Science problem (Expert level proficiency in Forecasting)
• Develop and maintain robust data processing pipelines and reproducible modelling pipelines.
• Explore data and communicate insights clearly
• Manage a team of data scientists and senior data scientists
• Analyze experimental results, iterate and refine models to create significant business impact
• Build analytic systems and predictive models
• Test performance of data-driven products
• Experiment with new models and techniques

Qualifications

• 6+ years of experience in Data Analytics, Model development and deployment
• Strong forecasting experience
• Must have exposure to developing predictive analytics and machine learning algorithms for business applications
• Good knowledge of data management and visualization techniques
• Hands-on experience of working across SQL, R, Python, Hadoop
• Experience of managing teams of at least 2-3 members
• Strong organizational and leadership skills
• Understanding and exposure to business applications and integration of analytics with businesses
• B Tech/BE degree in Computer Science, Data Science, Mathematics or similar field