FIND_THE_RIGHTJOB.
Data Scientist - ACoE
JOB_REQUIREMENTS
Hires in
Not specified
Employment Type
Not specified
Company Location
Not specified
Salary
Not specified
About Business
JOB DESCRIPTION
Adani Group: In recent years, we have evolved from a new player in power generation to India’s largest private thermal power producer, with a capacity of 15,250 MW and a 40 MW solar project in Gujarat. It has created a world-class logistics and utility infrastructure portfolio that has a pan-India presence. Adani Group is headquartered in Ahmedabad, in the state of Gujarat, India. Over the years, Adani Group has positioned itself to be the market leader in its logistics and energy businesses focusing on large-scale infrastructure development in India with O & M practices benchmarked to global standards. With four IG-rated businesses, it is the only Infrastructure Investment Grade issuer in India.
Adani Power Limited (APL): Adani Power Limited (APL), a part of the diversified Adani Group, is the largest private thermal power producer in India.We have a power generation capacity of 15,250 MW comprising thermal power plants in Gujarat, Maharashtra, Karnataka, Rajasthan, Chhattisgarh, Madhya Pradesh, and Jharkhand, and a 40 MW solar power project in Gujarat.
Job Purpose: This role is responsible for leveraging data analytics to drive insights, predictive modeling, and solutions that optimize operations and strategic decision-making across the organization. This role involves collaborating with business stakeholders, data engineers, and other team members to develop and deploy data-driven solutions.
Responsibilities
Data Scientist
Predictive Analytics And Modeling
Conduct pattern analysis and predictive modeling to identify trends and opportunities.
Develop machine learning algorithms and statistical models to address business challenges.
Collaboration And Solution Development
Collaborate with Program Managers and Business Analysts to understand business needs.
Translate business requirements into analytical solutions and actionable insights.
Data Collection And Coordination
Lead efforts in data collection, preparation, and validation to ensure data quality.
Coordinate with data scientists, BI developers, and IT teams for comprehensive data management.
Solution Testing And Implementation
Test and validate analytical models and solutions using historical and real-time data.
Pilot solutions with Business Analysts and end-users, gathering feedback for iterative improvement.
Engage with internal stakeholders including O&M teams and project SPOCs for data validation and analytics requirements.
Present complex findings and technical concepts to non-technical stakeholders in a clear and concise manner.
Training And Development
Identify training needs within the organization related to analytics and data science.
Conduct knowledge sharing sessions and workshops to enhance analytical capabilities across teams.
Vendor Management And External Collaboration
Manage relationships with external vendors for analytics tools and services.
Collaborate with industry experts and research institutions to stay updated on emerging trends and best practices in data analytics.
Compliance And Performance Tracking
Implement tracking mechanisms to monitor compliance and performance of analytical solutions.
Gather feedback from stakeholders to continuously improve and refine analytics processes.
Project Management And Operations Support
Provide project management support by defining project scopes, timelines, and resource requirements.
Ensure adherence to quality standards, processes, and best practices in analytics implementation.
Key Stakeholders - Internal
Operations & Maintenance (O&M) Teams
Project SPOCs (Single Point of Contact)
Key Stakeholders - External
NA
Qualifications
Educational Qualification:
B.E/ B.Tech (Mechanical, Power Engineering, or related field), Advanced Degree (MBA, M.Tech) preferred
Work Experience (Range Of Years)
Minimum of 3 years in data science, with at least 3 years with strong proficiency in Python required.
Preferred Industry
Background in power utilities or similar sectors with proven track record in deploying analytics models into production and scaling them for real-time data handling.
JOB DESCRIPTION
Adani Group: In recent years, we have evolved from a new player in power generation to India’s largest private thermal power producer, with a capacity of 15,250 MW and a 40 MW solar project in Gujarat. It has created a world-class logistics and utility infrastructure portfolio that has a pan-India presence. Adani Group is headquartered in Ahmedabad, in the state of Gujarat, India. Over the years, Adani Group has positioned itself to be the market leader in its logistics and energy businesses focusing on large-scale infrastructure development in India with O & M practices benchmarked to global standards. With four IG-rated businesses, it is the only Infrastructure Investment Grade issuer in India.
Adani Power Limited (APL): Adani Power Limited (APL), a part of the diversified Adani Group, is the largest private thermal power producer in India.We have a power generation capacity of 15,250 MW comprising thermal power plants in Gujarat, Maharashtra, Karnataka, Rajasthan, Chhattisgarh, Madhya Pradesh, and Jharkhand, and a 40 MW solar power project in Gujarat.
Job Purpose: This role is responsible for leveraging data analytics to drive insights, predictive modeling, and solutions that optimize operations and strategic decision-making across the organization. This role involves collaborating with business stakeholders, data engineers, and other team members to develop and deploy data-driven solutions.
Responsibilities
Data Scientist
Predictive Analytics And Modeling
Conduct pattern analysis and predictive modeling to identify trends and opportunities.
Develop machine learning algorithms and statistical models to address business challenges.
Collaboration And Solution Development
Collaborate with Program Managers and Business Analysts to understand business needs.
Translate business requirements into analytical solutions and actionable insights.
Data Collection And Coordination
Lead efforts in data collection, preparation, and validation to ensure data quality.
Coordinate with data scientists, BI developers, and IT teams for comprehensive data management.
Solution Testing And Implementation
Test and validate analytical models and solutions using historical and real-time data.
Pilot solutions with Business Analysts and end-users, gathering feedback for iterative improvement.
Engage with internal stakeholders including O&M teams and project SPOCs for data validation and analytics requirements.
Present complex findings and technical concepts to non-technical stakeholders in a clear and concise manner.
Training And Development
Identify training needs within the organization related to analytics and data science.
Conduct knowledge sharing sessions and workshops to enhance analytical capabilities across teams.
Vendor Management And External Collaboration
Manage relationships with external vendors for analytics tools and services.
Collaborate with industry experts and research institutions to stay updated on emerging trends and best practices in data analytics.
Compliance And Performance Tracking
Implement tracking mechanisms to monitor compliance and performance of analytical solutions.
Gather feedback from stakeholders to continuously improve and refine analytics processes.
Project Management And Operations Support
Provide project management support by defining project scopes, timelines, and resource requirements.
Ensure adherence to quality standards, processes, and best practices in analytics implementation.
Key Stakeholders - Internal
Operations & Maintenance (O&M) Teams
Project SPOCs (Single Point of Contact)
Key Stakeholders - External
NA
Qualifications
Educational Qualification:
B.E/ B.Tech (Mechanical, Power Engineering, or related field), Advanced Degree (MBA, M.Tech) preferred
Work Experience (Range Of Years)
Minimum of 3 years in data science, with at least 3 years with strong proficiency in Python required.
Preferred Industry
Background in power utilities or similar sectors with proven track record in deploying analytics models into production and scaling them for real-time data handling.
Similar jobs
No similar jobs found
© 2025 Qureos. All rights reserved.