DE&A - AIML - Data Science - Machine Learning
Zensar · Bangalore South, Karnataka, India
IT Services and IT Consulting · 10,001+ employees
About the role
The Data Scientist will design, build, and validate predictive and explanatory models to generate actionable business insights. They will collaborate with stakeholders to ensure model outputs are accurate, interpretable, and aligned with real-world decision-making.
What they look for
Requirements
Candidates must have 3-5 years of experience in data science, machine learning, or advanced analytics. Proficiency in Python and supervised machine learning frameworks like XGBoost, LightGBM, and scikit-learn is required.
Full description
Data Scientist
Role Overview Responsible for designing, building, and validating predictive and explanatory models that generate actionable business insights. Works closely with business stakeholders to ensure model outputs are accurate, interpretable, and aligned to real-world decision-making.
Experience Required: 3–5 years
Key Responsibilities
- Perform exploratory data analysis and feature engineering across multiple data sources
- Design, train, validate, and backtest supervised ML models for classification and regression tasks
- Build time-series and probabilistic forecasting models for demand and inventory signals
- Develop survival analysis models to predict time-to-event outcomes
- Build explainability pipelines (SHAP) to translate model outputs into business-readable root cause attribution
- Conduct causal analysis and process mining to identify workflow patterns driving business outcomes
- Validate model outputs with business SMEs and refine based on feedback
- Define and agree model performance thresholds, feature importance priorities, and acceptance criteria with client stakeholders
Required Skills
- 3–5 years of experience in data science, machine learning, or advanced analytics
- Strong experience in supervised ML (XGBoost, LightGBM, Random Forest, scikit-learn)
- Experience with time-series forecasting (Prophet, ARIMA) and survival analysis
- Proficiency in SHAP and other model explainability frameworks
- Strong Python skills (pandas, numpy, scikit-learn)
- Ability to communicate complex model outputs clearly to non-technical business stakeholders
- Experience in supply chain, retail, or inventory analytics preferred
At Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus.
Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself.
We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.
