Job Title - S&C GN - Data Science Analyst
Team: Global Network Data & AI
Practice: Health Analytics
Location: Bengaluru, Gurugram, Mumbai, Kolkata, Pune, Chennai, Hyderabad
Experience: 1-4 years of experience in Health Analytics
Educational Qualification:
- Master's degree in computer science, statistics, applied mathematics, or a related field with 2+ years of experience, OR
- Bachelor's degree in computer science, statistics, applied mathematics, or a related field with 3+ years of experience.
We are an innovative Data Science team specializing in the Contact Center domain, dedicated to transforming customer interactions through data-driven intelligence. As part of the Marketing Analytics team, we focus on optimizing contact center operations by leveraging machine learning, natural language processing (NLP), generative ai, and advanced analytics.
Our work involves analyzing customer conversations, predicting user behavior, and enhancing self-service capabilities to reduce call transfers and improve satisfaction. We build conversational AI models, real-time recommendation systems, and predictive analytics solutions that drive meaningful business impact. By integrating AI-driven insights with marketing strategies, we enable proactive customer engagement, personalized experiences, and operational efficiencies across various touchpoints.
This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions.
If you're passionate about applying data science to solve real-world customer experience challenges, this is the team for you!
Who are we looking for
- Strong ability to extract strategic insights from large data sets.
- Adept with using Statistical (like forecasting/modeling, optimization models), Machine Learning (GBM, Decision Trees etc.), AI techniques (Deep Learning)
- Proficient in data handling suites PYTHON, Spark, SQL, or similar packages
- Excellent written and oral communication skills with ability to clearly communicate ideas and results to non-technical businesspeople.
- Strong aptitude, ability, motivation, and interest in placing quantitative analysis in the context of marketing and business economics.
- Adept with knowledge & working on Visualization tools like Tableau, POWER BI, etc.
