LTIMindtree Hiring for Data Scientist- Mumbai
India, Maharashtra, Mumbai
2 weeks ago
Applicants: 0
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1 week left to apply
Job Description
Skill: Data Scientist Location: Mumbai Experience: 10 to 16 Years Job Description: Mandate Skills: Statistical & Machine Learning : Proficient in building supervised learning models (e.g., regression, classification, decision trees, ensemble methods). Skilled in unsupervised learning techniques (e.g., clustering, dimensionality reduction, anomaly detection). Ability to apply statistical methods for hypothesis testing, feature engineering, and model evaluation ( ROC, AUC, precision- recall, etc.). Programming & Tools : Python, Jupyter Notebook s, and libraries such as scikit-learn , pandas, NumPy . Primary Skills ? Good To have Teradata Expertise : Strong hands-on experience with Teradata SQL, ClearScape Analytics , and ModelOps for deploying and managing models at scale. Domain Knowledge : Insurance industry processes, risk modelling, and customer analytics. Responsibilities: Analyze large datasets and develop predictive models within Teradata Data Lake/Lakehouse environments. Write simple, efficient SQL queries and collaborate with data engineering teams to build and validate data pipelines with robust data checks. Prepare, clean, and standardize data for analysis and modelling. Build supervised and unsupervised ML models using Python and Jupyter Notebooks. Communicate insights through clear reports and visualizations Document processes and ensure data quality standards. Stay updated on emerging technologies to improve model performance and reliability. Interested candidates, please share resumes on [email protected]
Required Skills
Additional Information
- Company Name
- LTIMindtree
- Industry
- N/A
- Department
- N/A
- Role Category
- Data Engineer
- Job Role
- Mid-Senior level
- Education
- No Restriction
- Job Types
- Remote
- Gender
- No Restriction
- Notice Period
- Immediate Joiner
- Year of Experience
- 1 - Any Yrs
- Job Posted On
- 2 weeks ago
- Application Ends
- 1 week left to apply
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