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Predictive Analytics Data Scientist-AI Labs

Eibd Fa Em2 Oraclecloud Com CX 1 · ACH Building Ahmedabad, Ahmedabad, Gujarat, IN · Active · Oracle Recruiting Cloud / Fusion HCM

Job facts

FieldValue
CompanyEibd Fa Em2 Oraclecloud Com CX 1
TitlePredictive Analytics Data Scientist-AI Labs
Normalized title-
Department / teamTechnical Project/Program Management
LocationGujarat, IN, United States
Work model-
Employment typeFull Time
Salary-
Statusactive
ATS providerOracle Recruiting Cloud / Fusion HCM
Posted / first seen2026-06-10 / 2026-05-31
Changed / last seen2026-06-18 / 2026-06-20

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City jobsActive postings in Gujarat.Open
Department jobsActive postings in Technical Project/Program Management.Open
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Linked records

CompanyEibd Fa Em2 Oraclecloud Com CX 1
Sourceb6ad7536-7692-4948-9055-765edfe52473
ATS providerOracle Recruiting Cloud / Fusion HCM

Description

Description About Business: Adani Group: Adani Group is a diversified organisation in India comprising 10 publicly traded companies. 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. Job Purpose: The Predictive Analytics Data Scientist is responsible for designing, building, and optimizing AI-driven predictive models that enhance business intelligence, risk management, and operational efficiency. This role will focus on end-to-end execution, from data collection and model development to deployment and monitoring, ensuring AI models drive actionable insights for demand forecasting, process automation, and business optimization. Responsibilities Predictive Analytics Data Scientist-AI Labs Predictive Model Development & Optimization: Develop and train predictive models using time-series forecasting, regression analysis, and anomaly detection to solve business challenges. Optimize predictive accuracy by implementing feature engineering, hyperparameter tuning, and deep learning techniques. Test, refine, and validate AI models through rigorous model evaluation, stress testing, and bias mitigation to ensure reliability. Ensure real-time model scalability by deploying on cloud-based AI infrastructure (AWS, GCP, Azure) using Kubernetes, Docker, and MLOps frameworks. Business Problem Solving & AI Integration: Understand and translate business challenges into AI-driven solutions, ensuring alignment with strategic objectives. Implement AI-powered demand-supply forecasting models to enhance production planning, logistics, and inventory management. Enhance operational efficiency by integrating predictive analytics into decision workflows, process automation, and real-time optimization. Improve cost management and revenue forecasting by leveraging AI models for risk assessment, fraud detection, and business performance monitoring. Data Collection, Feature Engineering & Model Training: Manage structured and unstructured data pipelines, ensuring high-quality inputs for predictive modeling. Conduct feature extraction and engineering to optimize data representation and improve model performance. Automate model training pipelines to enhance scalability, version control, and real-time learning capabilities. Model Deployment, Monitoring & Performance Evaluation Deploy AI models into production, ensuring seamless integration into enterprise applications and business workflows. Monitor model performance in real-world scenarios, identifying and addressing model drift, bias, and performance degradation. Continuously improve model efficiency through iterative learning, retraining cycles, and adaptive optimization techniques. Collaboration with AI, Engineering & Business Teams: Work closely with model deployment teams to ensure AI solutions are effectively operationalized. Coordinate with front-end developers to integrate predictive insights into AI-powered dashboards and user applications. Partner with business teams to align AI models with key performance indicators (KPIs) and measurable business impact. AI Governance, Compliance & Risk Management: Ensure AI compliance with industry regulations, data privacy laws (GDPR, AI Act), and company-wide governance frameworks. Implement explainability frameworks to improve transparency and interpretability of predictive models. Conduct risk assessments to identify and mitigate model bias, ethical concerns, and unintended consequences. Key Stakeholders - Internal AI & Data Science Teams Business Leaders & Strategy Teams IT & Cloud Engineering Teams Finance & Risk Management Teams Key Stakeholders - External Technology Partners & AI Vendors Research Institutions & Academia Regulatory Bodies Qualifications Educational Qualification:  Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Artificial Intelligence, or related fields. Certification: Certified Machine Learning Engineer (Google AWS Microsoft AI Certification) Professional Certification in Predictive Analytics (Coursera IBM DataCamp) MLOps & Cloud AI Certification (AWS GCP Azure)

Full job record

Job ID6dae7a4560f52a6126ee88f9bf65072dbf689087
Org ID5d70a524-a2ac-4844-ac12-cbe6e89c23ee
Source IDb6ad7536-7692-4948-9055-765edfe52473
Board IDb6ad7536-7692-4948-9055-765edfe52473
Provideroracle_hcm
Provider Job Key44281
TitlePredictive Analytics Data Scientist-AI Labs
Normalized Title
Statusactive
Activeyes
Location TextACH Building Ahmedabad, Ahmedabad, Gujarat, IN
DepartmentTechnical Project/Program Management
Team
Employment Typefull_time
Workplace Type
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CountryUnited States
RegionIN
CityGujarat
Salary RawDescription About Business: Adani Group: Adani Group is a diversified organisation in India comprising 10 publicly traded companies. 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. Job Purpose: The Predictive Analytics Data Scientist is responsible for designing, building, and optimizing AI-driven predictive models that enhance business intelligence, risk management, and operational efficiency. This role will focus on end-to-end execution, from data collection and model development to deployment and monitoring, ensuring AI models drive actionable insights for demand forecasting, process automation, and business optimization. Responsibilities Predictive Analytics Data Scientist-AI Labs Predictive Model Development & Optimization: Develop and train predictive models using time-series forecasting, regression analysis, and anomaly detection to solve business challenges. Optimize predictive accuracy by implementing feature engineering, hyperparameter tuning, and deep learning techniques. Test, refine, and validate AI models through rigorous model evaluation, stress testing, and bias mitigation to ensure reliability. Ensure real-time model scalability by deploying on cloud-based AI infrastructure (AWS, GCP, Azure) using Kubernetes, Docker, and MLOps frameworks. Business Problem Solving & AI Integration: Understand and translate business challenges into AI-driven solutions, ensuring alignment with strategic objectives. Implement AI-powered demand-supply forecasting models to enhance production planning, logistics, and inventory management. Enhance operational efficiency by integrating predictive analytics into decision workflows, process automation, and real-time optimization. Improve cost management and revenue forecasting by leveraging AI models for risk assessment, fraud detection, and business performance monitoring. Data Collection, Feature Engineering & Model Training: Manage structured and unstructured data pipelines, ensuring high-quality inputs for predictive modeling. Conduct feature extraction and engineering to optimize data representation and improve model performance. Automate model training pipelines to enhance scalability, version control, and real-time learning capabilities. Model Deployment, Monitoring & Performance Evaluation Deploy AI models into production, ensuring seamless integration into enterprise applications and business workflows. Monitor model performance in real-world scenarios, identifying and addressing model drift, bias, and performance degradation. Continuously improve model efficiency through iterative learning, retraining cycles, and adaptive optimization techniques. Collaboration with AI, Engineering & Business Teams: Work closely with model deployment teams to ensure AI solutions are effectively operationalized. Coordinate with front-end developers to integrate predictive insights into AI-powered dashboards and user applications. Partner with business teams to align AI models with key performance indicators (KPIs) and measurable business impact. AI Governance, Compliance & Risk Management: Ensure AI compliance with industry regulations, data privacy laws (GDPR, AI Act), and company-wide governance frameworks. Implement explainability frameworks to improve transparency and interpretability of predictive models. Conduct risk assessments to identify and mitigate model bias, ethical concerns, and unintended consequences. Key Stakeholders - Internal AI & Data Science Teams Business Leaders & Strategy Teams IT & Cloud Engineering Teams Finance & Risk Management Teams Key Stakeholders - External Technology Partners & AI Vendors Research Institutions & Academia Regulatory Bodies Qualifications Educational Qualification:  Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Artificial Intelligence, or related fields. Certification: Certified Machine Learning Engineer (Google AWS Microsoft AI Certification) Professional Certification in Predictive Analytics (Coursera IBM DataCamp) MLOps & Cloud AI Certification (AWS GCP Azure)
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://eibd.fa.em2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/44281
Apply URLhttps://eibd.fa.em2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/44281
First Seen At2026-05-31 18:08:53Z
Last Seen At2026-06-20 12:34:36Z
Last Checked At2026-06-20 12:34:36Z
Last Changed At2026-06-18 11:37:45Z
Inactive At
Source Posted At2026-06-10 12:03:23Z
Source Updated At
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