Data Scientist-3
Zensar Technologies · Pune · onsite · Posted 29d ago
Undisclosed1–7 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
The ideal candidate should have hands-on experience across the complete data science lifecycle, including data exploration, feature engineering, model development, evaluation, deployment, monitoring, and optimization .
- Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, Artificial Intelligence, Machine Learning, Engineering , or a related discipline.
- 5+ years of relevant experience in Data Science, Machine Learning, or advanced analytics.
- Strong analytical and problem-solving capabilities.
- Excellent communication and stakeholder-management skills.
- Ability to translate business problems into appropriate data science and AI/ML solutions .
- Experience working in Agile and enterprise development environments.
- Banking, payments, financial services, or other large-scale enterprise experience is preferred.
- Analyze large structured and unstructured datasets to identify patterns, trends, and actionable insights.
- Develop and implement machine learning and statistical models for business use cases.
- Perform data cleaning, preprocessing, exploratory data analysis, and feature engineering.
- Build predictive models using supervised and unsupervised learning techniques.
- Develop solutions for classification, regression, clustering, forecasting, anomaly detection, and recommendation use cases.
- Use Python and SQL for data manipulation, analysis, and model development.
- Develop and optimize ML models using libraries such as Scikit-learn, Pandas, NumPy, TensorFlow, or PyTorch .
- Design appropriate model validation and evaluation strategies using relevant performance metrics.
- Build reusable data science pipelines and production-ready ML solutions.
- Collaborate with Data Engineers, ML Engineers, Software Engineers, Product Owners, and business stakeholders.
- Work with large-scale data processing platforms and cloud environments.
- Deploy machine learning models through APIs, batch processing, or real-time inference pipelines.
- Implement MLOps practices covering model versioning, deployment, monitoring, retraining, and governance.
- Develop prototypes and proof-of-concepts for new AI/ML use cases.
- Present complex analytical findings to both technical and non-technical stakeholders.
- Ensure data quality, security, privacy, explainability, and responsible AI practices.
Disclaimer: This job posting and location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
AgileapisMLOpsregressionmathematicsclusteringclassificationdata scientiststatisticsAnalyticsBankingPytorchTensorflowdeploymentPythoncloudSQLPandasNumpyArtificial IntelligenceMachine LearningForecasting
About Zensar Technologies
Zensar Technologies
IT Services & Consulting
10.0k+
employees
2001
25 years old
Pune, Maharashtra
India
About
Zensar is a global organization that conceptualizes, builds, and manages digital products through experience design, data engineering, and advanced analytics for leading companies.
Industries
IT Services & Consulting
Employee ratings
2,994 reviews
3.7/ 5
Culture
3.5
Career growth
3.0
Work-life
3.8
Employees rate it well for
Work Life Balance442Work Culture366Senior Management300Salary295Job Security229
Find them on