Adani

Diversified infrastructure and energy conglomerate

Lead Data Sciences & Analytics

Data ScienceConfirmed live in the last 24 hours

Full-timeNo salary listed

About the Job

Requirements

A B.E./B.Tech, MCA, or M.Tech in Computer Science, Information Technology, Data Science, Statistics, Mathematics, Analytics, or a related discipline is required.
Eight to twelve years of experience in Data Analytics, Data Science, Business Intelligence, or AI/ML domains is required.
Experience working on enterprise-scale analytics projects is required.
Strong proficiency in Python, R, SQL, and data analytics tools is required.
Experience with Machine Learning, Deep Learning, NLP, and Generative AI applications is required.
Hands-on experience with Power BI, Tableau, QlikView, or similar BI platforms is required.
Knowledge of cloud platforms such as Azure, AWS, or GCP is required.
Experience with big data technologies including Spark, Hadoop, Databricks, or similar ecosystems is required.
Understanding of data warehousing, ETL, and data governance frameworks is required.

Responsibilities

Analyze large and complex datasets from multiple sources to generate actionable business insights.
Design and develop dashboards, KPIs, scorecards, and reporting frameworks for leadership review.
Establish data governance standards, data quality controls, and reporting accuracy mechanisms.
Conduct trend analysis, forecasting, and root-cause analysis to support key business decisions.
Develop predictive and prescriptive analytics models to improve business outcomes.
Build and deploy Machine Learning and Artificial Intelligence solutions for various business functions.
Work on demand forecasting, risk analytics, productivity optimization, cost reduction, and resource utilization models.
Evaluate emerging AI technologies and recommend innovative use cases across the organization.
Collaborate with technology teams to build scalable data pipelines and analytics platforms.
Automate recurring reports and analytical processes using advanced data tools.
Ensure seamless integration of data across ERP, CRM, HRMS, Project Management, and operational systems.
Partner with Business Heads, Functional Leaders, and Project Teams to understand analytical requirements.
Translate business challenges into data science use cases and measurable outcomes.
Present analytical findings and recommendations to senior leadership in a clear and impactful manner.
Drive AI-led digital transformation initiatives across business units.
Identify opportunities for process optimization through advanced analytics.
Benchmark industry best practices and implement innovative analytical frameworks.
Execute enterprise analytics strategy.
Deploy AI and Machine Learning solutions.
Deliver automated reporting and dashboarding, predictive analytics models, data governance compliance, business insight generation, operational efficiency improvements, and digital transformation enablement.

Desired Qualifications

A master's degree in Data Science, Business Analytics, AI/ML, or equivalent is preferred.
Exposure to infrastructure, manufacturing, construction, energy, logistics, or EPC sectors is preferred.

Required Qualifications

B.E./B.Tech / MCA / M.Tech in Computer Science, Information Technology, Data Science, Statistics, Mathematics, Analytics, or related discipline.
Master's degree in Data Science, Business Analytics, AI/ML, or equivalent preferred.

Experience

8-12 years of experience in Data Analytics, Data Science, Business Intelligence, or AI/ML domains.
Experience working on enterprise-scale analytics projects.
Exposure to infrastructure, manufacturing, construction, energy, logistics, or EPC sectors will be preferred.

Associate Manager - Data Science & Analytics (O5)

Business: Adani Group
Department: Digital Transformation / Data Science & Analytics
Location: Ahmedabad / Mumbai / Project Locations

Key Responsibilities Data Analytics & Business Intelligence

Analyze large and complex datasets from multiple sources to generate actionable business insights.
Design and develop dashboards, KPIs, scorecards, and reporting frameworks for leadership review.
Establish data governance standards, data quality controls, and reporting accuracy mechanisms.
Conduct trend analysis, forecasting, and root-cause analysis to support key business decisions.

Data Science & Machine Learning

Develop predictive and prescriptive analytics models to improve business outcomes.
Build and deploy Machine Learning (ML) and Artificial Intelligence (AI) solutions for various business functions.
Work on demand forecasting, risk analytics, productivity optimization, cost reduction, and resource utilization models.
Evaluate emerging AI technologies and recommend innovative use cases across the organization.

Data Engineering & Automation

Collaborate with technology teams to build scalable data pipelines and analytics platforms.
Automate recurring reports and analytical processes using advanced data tools.
Ensure seamless integration of data across ERP, CRM, HRMS, Project Management, and operational systems.

Stakeholder Management

Partner with Business Heads, Functional Leaders, and Project Teams to understand analytical requirements.
Translate business challenges into data science use cases and measurable outcomes.
Present analytical findings and recommendations to senior leadership in a clear and impactful manner.

Innovation & Digital Transformation

Drive AI-led digital transformation initiatives across business units.
Identify opportunities for process optimization through advanced analytics.
Benchmark industry best practices and implement innovative analytical frameworks.

Required Qualifications

B.E./B.Tech / MCA / M.Tech in Computer Science, Information Technology, Data Science, Statistics, Mathematics, Analytics, or related discipline.
Master's degree in Data Science, Business Analytics, AI/ML, or equivalent preferred.

Experience

8-12 years of experience in Data Analytics, Data Science, Business Intelligence, or AI/ML domains.
Experience working on enterprise-scale analytics projects.
Exposure to infrastructure, manufacturing, construction, energy, logistics, or EPC sectors will be preferred.

Technical Skills

Strong proficiency in Python, R, SQL, and data analytics tools.
Experience with Machine Learning, Deep Learning, NLP, and Generative AI applications.
Hands-on experience with Power BI, Tableau, QlikView, or similar BI platforms.
Knowledge of cloud platforms such as Azure, AWS, or GCP.
Experience with big data technologies including Spark, Hadoop, Databricks, or similar ecosystems.
Understanding of data warehousing, ETL, and data governance frameworks.

Behavioral Competencies

Strategic Thinking
Business Acumen
Analytical & Problem-Solving Skills
Stakeholder Management
Innovation & Continuous Improvement
Leadership & Team Collaboration
Result Orientation
Communication & Presentation Skills

Key Deliverables

Enterprise Analytics Strategy Execution
AI & Machine Learning Solution Deployment
Automated Reporting & Dashboarding
Predictive Analytics Models
Data Governance Compliance
Business Insight Generation
Operational Efficiency Improvements
Digital Transformation Enablement

Grade: O5 - Associate Manager

About the Company

Adani

Diversified infrastructure and energy conglomerate

Adani operates as a diversified Indian conglomerate spanning infrastructure, energy, transport, logistics, materials, and real estate. Its businesses include ports, airports, power generation, green energy, city gas distribution, cement, mining, and Adani Realty developments, largely organized under 11 publicly listed group companies. What sets Adani apart is its integrated model linking resource extraction, transport, and energy across its portfolio. The goal is to build core infrastructure supporting India's long-term economic growth.

Company size: Not listed
Company stage: Not listed
Total funding: $67.2M
Headquarters: Singapore, Singapore
Founded: 1988

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