Data Scientist
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Job Location:
Navi Mumbai - India
Monthly Salary:
Not Disclosed
Posted on:
12 hours ago
Vacancies:
1 Vacancy
Job Summary
Job Description Data Scientist (AI CoE)
Position Details
Position Title: Data Scientist AI Centre of Excellence (CoE)
Reporting To: Head AI CoE
Location: Any
Industry: Experience in Telecom & Cloud Services preferred.
Qualifications
- Bachelors/ Masters in a quantitative discipline (Computer science Statistics Econometrics Mathematics Engineering and Science)
- 7 years in analytics overall including at least 3 years in Gen AI AI/ML solution delivery analytics-led consulting or change management
- Proven track record in delivering Gen AI AI/ML solutions at-scale and data driven decision making at-scale
- Deep understanding of AI governance ML Ops and responsible AI practices
- Strong leadership and stakeholder management skills
- Excellent communication and change-management capabilities
- Familiarity with telecom BSS/OSS or cloud platforms is a plus
Job Summary
The incumbent will be a senior member of the AI CoE Team that focuses on Predictive Analytics Digital Analytics Data Sciences and Insights & Experimentation. The person will report to the Head AI CoE. He/she will be an individual contributor and lead enterprise-wide AI initiatives by designing scalable solutions enabling predictive insights and fostering AI adoption across business units. He/She will be working on multiple initiatives across multiple departments leveraging traditional and big data. Will closely partner with stakeholders to translate business challenges into AI-driven outcomes and ensure adoption.
Key Responsibilities
- Apply Advanced ML Algorithms and Statistics: Regression Simulation Scenario Analysis Time Series Modelling Classification - Logistic Regression Decision Trees SVM KNN Naive Bayes Clustering K-Means Apriopri Ensemble Models - Random Forest Boosting Bagging Neural Networks
- Deep expertise in Python R SQL TensorFlow PyTorch Hugging Face LangChain LLMs RAG Vector Databases Fine tuning evaluation etc.
- Good understanding of Azure and GCP ETL data pipelines Spark
- Assess accuracy of new data sources and data gathering techniques
- Perform Exploratory Data Analysis detailed analysis of business problems and technical environments in designing the solution
- Apply Supervised Unsupervised Reinforcement Learning and Deep Learning algorithms
- Delver Proof of Concepts in 6-8 weeks with high accuracy (90%) and demonstrate the outcomes quickly Document use cases solutions and recommendations Work analytically in a problem-solving environment
- Work in a fast-paced agile development environment
- Coordinate with different functional teams to implement models and monitor outcomes
- Work with stakeholders throughout the organization to identify opportunities for leveraging organization data and apply Predictive Modelling techniques to gain insight across business functions - Operations Products Sales Marketing HR and Finance teams
- Help program and project managers in the design planning and governance of implementing Data Science solution
Objectives
- Accelerate AI-driven transformation and innovation
- Maximize ROI from AI investments through strategic alignment and execution
- Promote widespread AI adoption across business units
- Ensure responsible explainable and secure AI usage
Key Result Areas (KRAs)
- Business Impact (Revenue EBIDTA Cost) improvement through application of AI Gen AI AI/ML. At least 3 such applications per quarter
- Time-to-market for AI solutions
- AI adoption rate and cross-functional unit NPS
- Accuracy reliability and relevance of deployed 20% reduction in operational cost via AI-driven automation.
- Model deployment cycle time cost savings achieved
- Compliance with AI governance and ethical standards
Expected Outcomes
- Rapid POCs / POTs with application of AI
- Scalable and reusable AI solutions across the enterprise
- Improved decision-making and operational efficiency
- Strong AI governance and minimized risk exposure
Key Competencies
- Product Thinking Problem solving & Business Value Orientation
- Technical Curiosity & Applied AI Knowledge
- Agile Delivery & Stakeholder Management
- Cross-functional Collaboration
- Data Storytelling & Influential Communication
- Change Management & Adoption Leadership
- Regulatory Awareness & Ethical AI Practices
- Data Driven Decision Making
Required Experience:
IC
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
Transforming Businesses through Digitalization Tata Tele Business Services (TTBS), belonging to the prestigious Tata Group of Companies, is the country’s leading enabler of connectivity and communication solutions for businesses. With services ranging from connectivity, collaboration, ... View more
