Data Scientist

About Ascendion

Ascendion is a leading AI-Native platform-driven software engineering company that focuses on outcome underwriting—helping businesses innovate faster, smarter, and with greater impact. We collaborate with Global 2000 clients throughout North America, the UK, Europe, and APAC to address complex challenges across data, experience design, software product engineering, and workforce transformation. With expert engineers, thousands of AI agents, and our Engineering to the Power of AI™ (EngineeringAI) method, we deliver measurable results that build trust, unlock value, and accelerate growth. More information is available at ascendion.com

Ascendion | Engineering to elevate life

We offer a culture grounded in opportunity, inclusion, and a collaborative spirit. Join us to help change the world:

• Build cutting-edge technology for the world’s leading brands
• Tackle complex problems—and grow with new skills
• Unlock the impact of transforming digital engineering for Fortune 500 clients
• Develop your expertise through leading training programs and hands-on experience
  
  

Join a community of change makers. Become part of a high-performing team of innovators with endless ideas and a strong passion for technology. Our culture shapes everything we do, making Ascendion a unique and diverse place. By how we share ideas, learning, experiences, accomplishments, and joy, everyone has the opportunity to be at their best at Ascendion.

About The Role

We are seeking strong data science talent with experience in statistical and ML modeling.

Job Title: Data Scientist

Key Responsibilities

• Demonstrate strong expertise in time-series forecasting and predictive modeling, with practical experience using statistical, machine learning, and deep learning methods to solve complex financial or business forecasting challenges.
  
  

Minimum Qualifications

• Experience creating cash flow, revenue, collections, working capital, or financial forecasting models, including identifying and modeling key business drivers, trends, seasonality, and external factors.
• Strong hands-on skills in Python and SQL, including experience with feature engineering, model validation, retro testing, and production-ready forecasting solutions.
• Ability to build multi-horizon forecasts with uncertainty estimates, perform scenario analysis, and provide explainability so business stakeholders can understand forecast drivers, risks, and deviations.
  
  

Location: Bangalore

Want to change the world? Share your experience, education, and ambitions with us. Bring your knowledge, unique perspective, and creativity to the table—let’s talk!