346 Predictive Models jobs in Mumbai

Responsibilities

• Analyze and validate the data content of files to be ingested.
• Ensure data integrity and accuracy during the data ingestion process.
• Collaborate with cross-functional teams to understand data requirements and business needs.
• Develop and implement data validation and quality control processes.
• Identify and resolve data discrepancies and inconsistencies.
• Create and maintain documentation related to data analysis and ingestion processes.
• Generate reports and provide insights based on data analysis.
• Assist in the development and maintenance of data management systems.

Requirements

• Bachelor's degree in health informatics, Statistics, Mathematics, Computer Science, or a related field.
• Healthcare experience mandatory.
• A minimum of 4 years of experience in data analysis and data management.
• Proficiency in SQL and data analysis tools (e.g., SAS, R, Python).
• Strong understanding of healthcare data and healthcare payer systems.
• Excellent analytical and problem-solving skills.
• Strong attention to detail and accuracy.
• Effective communication skills, both written and verbal.
• Ability to work independently and as part of a team.
• Experience with Extract, Transform, Load (ETL) processes.
• Knowledge of healthcare regulations and compliance standards (e.g., HIPAA).
• Familiarity with data visualization tools (e.g., Tableau, Power BI).
• Experience in project management and leading data-related projects.

Responsibilities

• Analyze and validate the data content of files to be ingested.
• Ensure data integrity and accuracy during the data ingestion process.
• Collaborate with cross-functional teams to understand data requirements and business needs.
• Develop and implement data validation and quality control processes.
• Identify and resolve data discrepancies and inconsistencies.
• Create and maintain documentation related to data analysis and ingestion processes.
• Generate reports and provide insights based on data analysis.
• Assist in the development and maintenance of data management systems.

Requirements

• Bachelor's degree in health informatics, Statistics, Mathematics, Computer Science, or a related field.
• Healthcare experience mandatory.
• A minimum of 4 years of experience in data analysis and data management.
• Proficiency in SQL and data analysis tools (e.g., SAS, R, Python).
• Strong understanding of healthcare data and healthcare payer systems.
• Excellent analytical and problem-solving skills.
• Strong attention to detail and accuracy.
• Effective communication skills, both written and verbal.
• Ability to work independently and as part of a team.
• Experience with Extract, Transform, Load (ETL) processes.
• Knowledge of healthcare regulations and compliance standards (e.g., HIPAA).
• Familiarity with data visualization tools (e.g., Tableau, Power BI).
• Experience in project management and leading data-related projects.

• Analyze and interpret large-scale geological and geophysical datasets.
• Develop and implement advanced data processing and analysis workflows.
• Create sophisticated data visualizations and geological models.
• Extract actionable insights to support exploration and resource assessment.
• Collaborate with multidisciplinary scientific and engineering teams.
• Develop and apply predictive modeling techniques.
• Assess subsurface geological risks and opportunities.
• Ensure data quality, integrity, and accuracy.
• Communicate complex technical findings to diverse audiences.
• Contribute to the advancement of analytical methods in geoscience.

• Master's degree in Geosciences, Geophysics, Data Science, or a related field. Ph.D. preferred.
• 7+ years of experience in geological or geophysical data analysis.
• Strong proficiency in programming languages such as Python or R for data analysis.
• Experience with geological modeling software and GIS tools.
• In-depth knowledge of statistical analysis and machine learning techniques.
• Familiarity with seismic data processing and interpretation is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation abilities.
• Proven ability to work effectively in a collaborative team environment.

We're hiring

Designation: MIS Executive/Data Analysis Executive

Location: Mumbai

Salary: LPA

Key Requirements:

Strong knowledge of Advanced Excel

Analytical mindset

Experience in MIS reporting & dashboards preferred but freshers can also apply

Responsibilities:

Prepare and maintain periodic MIS reports

Consolidate and analyze data from multiple sources with accuracy

Create and manager operational dashboards across business verticals

Support management with data requirements and data-driven insights

If you enjoy working with data to drive business outcomes, wed love to hear from you.

• Analyze large datasets related to soil properties, environmental conditions, and crop performance.
• Develop and implement statistical models and machine learning algorithms for soil data analysis.
• Interpret soil test results and provide actionable recommendations for fertilizer management, crop rotation, and soil remediation.
• Conduct research on soil fertility, nutrient dynamics, and soil health indicators.
• Collaborate with field agronomists, researchers, and farm managers to integrate data insights into practical applications.
• Develop and maintain databases for soil information and agricultural data.
• Prepare comprehensive reports, technical documents, and scientific publications.
• Stay current with advancements in soil science, data analytics, and agricultural technology.
• Mentor junior soil scientists and data analysts in a remote work environment.
• Contribute to the development of precision agriculture tools and strategies.

• Master's or Ph.D. in Soil Science, Agronomy, Environmental Science, or a related field with a focus on data analysis.
• Minimum of 7 years of experience in soil science and data analysis, with at least 4 years specifically in agricultural data interpretation.
• Proficiency in statistical software (e.g., R, SAS, SPSS) and data visualization tools.
• Experience with machine learning techniques and their application in agriculture.
• Strong understanding of soil chemistry, physics, and biology.
• Familiarity with agricultural data management systems and platforms.
• Excellent analytical, critical thinking, and problem-solving skills.
• Strong written and verbal communication skills, with the ability to convey complex findings effectively.
• Proven ability to work independently and manage projects in a remote setting.
• Commitment to promoting sustainable agricultural practices.

• Develop and implement remote sensing strategies for geotechnical monitoring and hazard assessment in mining operations.
• Process and analyze large datasets from various remote sensing platforms (e.g., drones, satellites, airborne surveys) to identify geological features and potential instabilities.
• Apply advanced geotechnical principles to interpret remote sensing data and geological models.
• Conduct detailed stability analyses for slopes, open pits, and underground excavations using integrated data sources.
• Develop and maintain 3D geological and geotechnical models incorporating remote sensing inputs.
• Create visualizations and reports to communicate complex findings to both technical and non-technical stakeholders.
• Collaborate with site-based engineers and geologists to validate remote sensing findings and inform operational decisions.
• Research and evaluate new technologies and methodologies in remote sensing and geotechnical data analysis.
• Manage projects related to geotechnical data acquisition and analysis, ensuring timely and accurate delivery.
• Contribute to the development of best practices and standards for geotechnical monitoring and data management within the organization.
• Provide technical guidance and mentorship to junior engineers and geoscientists.
• Ensure data integrity, quality control, and data management best practices are followed.
• Prepare technical documentation, proposals, and presentations for internal and external audiences.
• Stay abreast of industry trends and advancements in geotechnical engineering and remote sensing.

• Master's or Ph.D. in Geotechnical Engineering, Geological Engineering, or a closely related field.
• Minimum of 8 years of progressive experience in geotechnical engineering, with a strong emphasis on the application of remote sensing and GIS in the mining industry.
• Demonstrated expertise in processing and analyzing data from LiDAR, InSAR, photogrammetry, and satellite imagery.
• Proficiency in relevant software such as ArcGIS, QGIS, ENVI, ERDAS Imagine, MATLAB, Python (for data analysis and scripting), and geotechnical modeling software (e.g., Rocscience suite, FLAC).
• In-depth understanding of geological principles, rock mechanics, soil mechanics, and slope stability analysis.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to convey complex technical information clearly.
• Experience working effectively in a remote team environment.
• Ability to manage multiple projects simultaneously and meet deadlines.
• Professional Engineer (PE) or equivalent international certification is a plus.

About the Role:

We are seeking a highly skilled Data Center Transient Analysis Engineer with expertise in Six Sigma methodologies to join our engineering team. The ideal candidate will have strong knowledge of thermal-fluid systems, transient simulations, reliability engineering, and process improvement techniques to optimize mission-critical data center operations.

Key Responsibilities:

• Conduct transient simulations and analysis of power, cooling, and airflow systems in data centers.
• Identify potential system instabilities, downtime risks, and bottlenecks using CFD/FEA tools and data-driven methods.
• Apply Six Sigma (DMAIC/DFSS) principles to reduce variability and enhance process efficiency.
• Collaborate with operations, facilities, and reliability engineering teams to drive continuous improvement projects.
• Develop and validate models to predict system response under dynamic load conditions.
• Create technical reports, dashboards, and executive presentations to communicate insights.
• Ensure compliance with ASHRAE, IEEE, and data center operational standards.
• Lead root-cause analysis for failures and provide corrective/preventive actions.

Qualifications:

• Bachelor's or Master's in Mechanical Engineering, Electrical Engineering, or related field.
• Proven experience in data center operations, reliability, or transient system modeling.
• Hands-on experience with simulation tools (ANSYS, COMSOL, Fluent, MATLAB, or similar).
• Certified Six Sigma Green Belt / Black Belt preferred.
• Strong analytical and problem-solving skills with a focus on process optimization.
• Excellent communication skills and ability to work cross-functionally.

Preferred Skills:

• Knowledge of power systems (UPS, gensets, switchgear) and cooling infrastructure.
• Experience in reliability engineering and failure mode effects analysis (FMEA).
• Familiarity with Lean manufacturing and continuous improvement frameworks.
• Data analytics and dashboarding skills (Python, SQL, Power BI, or Tableau).

Why Join Us:

• Opportunity to work on cutting-edge data center technologies.
• Exposure to global projects with a strong emphasis on innovation and reliability.
• Career growth with training in Six Sigma, Lean, and advanced simulation tools.
• Competitive salary and benefits package.

Job Type: Full-time

Work Location: In person