15 Statistical Modeling jobs in Hyderabad
Freelance Statistical Researcher – Demographic & Population Modeling
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Freelance Opportunity: Statistician – Demographic & Synthetic Population Modeling (Remote | ₹50,000/month)
Duration: 2-Month Contract (Renewable)
Compensation: ₹0,000/month (net, based on deliverables)
We are seeking a highly qualified freelance statistician to explore and analyze publicly available demographic datasets—including respondent-level microdata where available—and translate them into actionable statistical insights. The ultimate goal is to develop frameworks and schemas for generating synthetic populations of various Indian states.
This project is ideal for a candidate passionate about data exploration, sampling theory, and synthetic data generation for policy, market, or simulation purposes.
- Data Exploration & Cleaning
- Locate, access, and curate publicly available demographic datasets (census, NFHS, WVS, ASER, NSSO, etc.).
- Conduct thorough quality checks and handle missing or inconsistent data.
- Statistical Analysis & Modeling
- Perform distribution analysis, parameter estimation, and relationship mapping between demographic variables.
- Apply sampling techniques to design representative synthetic populations.
- Identify key demographic and behavioral parameters that inform population modeling.
- Schema & Synthetic Population Development
- Build statistical frameworks and schemas to simulate respondent-level data for Indian states.
- Develop replicable workflows and documentation for ongoing data updates.
- Reporting & Communication
- Present findings in clear, visualized formats (tables, charts, dashboards).
- Recommend refinements to improve the representativeness and robustness of the synthetic population models.
- Education: Master’s degree or higher in Statistics, Econometrics, Data Science, or Quantitative Social Sciences from a premier institute (ISI, IITs, IISc, Delhi School of Economics, etc.).
- Core Expertise:
- Advanced understanding of sampling theory and experimental design.
- Strong proficiency in statistical programming (R, Python, or Stata).
- Knowledge of Bayesian inference and synthetic data generation techniques is a plus.
- Experience:
- Prior work with large demographic or respondent-level datasets.
- Track record of producing actionable statistical insights.
- Distribution and parameter analysis
- Survey sampling & weighting
- Regression and multivariate modeling
- Data wrangling and cleaning
- Reproducible workflow creation (scripts, notebooks)
- Clear presentation of statistical findings
- Fixed monthly fee of ₹50,00 NR .
- Flexible, output-oriented schedule.
- Initial engagement for 3 months with potential for extension based on performance.
AI/ML Engineer – Analytics, Predictive Modeling, and Gen AI Chatbot Specialist
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Company Description
CURA provides software solutions designed to enable businesses around the world to quickly achieve the bottom line benefits of Governance, enterprise wide Risk management and Compliance (GRC). Established in 2002, CURA is used by over 250 customers including major corporations like Thiess, Anglo American, Westfield, Allianz, and many others. CURA has offices in Boston, Johannesburg, Sydney, Melbourne, Hyderabad, and Singapore, and distributors in 10 countries. Our software offers fast implementation, easy configuration, and a true enterprise architecture.
Role Description
This is a full-time on-site role located in Hyderabad for an AI/ML Engineer specializing in Analytics, Predictive Modeling, and Gen AI Chatbot. The AI/ML Engineer will be responsible for developing, implementing, and maintaining advanced machine learning algorithms, predictive models, and Gen AI Chatbot systems. Day-to-day tasks include designing and optimizing algorithms, performing data analysis, and collaborating with cross-functional teams to enhance GRC solutions. The role involves a mix of hands-on technical work and strategic planning to ensure optimal performance and integration of AI/ML solutions within CURA's software products.
Qualifications
- Strong skills in Pattern Recognition and Neural Networks
- Solid understanding of Statistics and Algorithms
- Background in Computer Science, with experience in developing and optimizing machine learning models
- Excellent problem-solving and analytical skills
- Proficiency in programming languages commonly used in AI/ML development (e.g., Python, R, Java)
- Experience with data analysis and visualization tools
- Effective communication skills and ability to work collaboratively in a team environment
- Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related field
Data Analysis
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Position Overview
The UAT Analyst will be responsible for ensuring claim opportunities are maximized in the Out of Network Department through monitoring of inventory, routing of claims and ensuring quality measures are applied for best outcomes. The responsibilities are inclusive of monitoring claim volume and turnaround time, reviewing claim routing decisions made by associates, and identifying claim savings opportunities. All responsibilities encompassed include execution within both the Zelis Claim Management System and/or the Zelis Compass system. This role will also be part of the Out of Network ART Scrum Team and will be responsible for the end-to-end user acceptance testing of the new and enhanced features/services envisioned for planned releases.Professional Experience:
Education:
Data Analysis|| DA
Posted today
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Hiring Data Analyst for the leading MNC
loc: Hyderabad
Shift: Rotational shift (incld night)
Experience- 6-15 years
excellent communication skills
should have relevant experience into DA,Advance excel,SQL/tableau
immediate joiners only
HR Data Analysis Manager
Posted 9 days ago
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+ Report to the Director Data Analytics and collaborate with the team to produce insights, perform exploratory data analysis for leadership requests and maintain data visualization tools delivering people and business metrics.
+ Design and develop compelling dashboards using advanced analytics, interactive dashboard design, and data storytelling techniques.
+ Deliver operational talent reports with data-driven narratives.
+ Engage with People team and business stakeholders to gather requirements and support scheduled/ad hoc reporting.
+ Develop, implement, and maintain dashboards and reports for key stakeholders (e.g., Executive Leadership, HR leaders, Business Partners).
+ Innovate to automate and streamline processes.
+ Responsible for data cleansing, validation, testing, and large-scale data analysis.
+ Handle sensitive human capital data with discretion and sound judgment.
+ Collaborate with project teams to ensure correct identification of data impacted by changes.
**Education:**
+ Bachelor's degree in engineering, Computer Science, Mathematics, or related technical field.
**Experience:**
+ 8+yrs of total experience with atleast 5yrs of relevant Experience in analytics roles working with large datasets.
+ Self-motivated, curious, independent, and eager to learn.
**Technical Skills:**
+ Analytics data modelling, storytelling, and visualization using tableau, Power BI, SQL, other advanced analytical tools
+ Exposure to R, Python is an added advantage.
+ Experience in Workday reporting, Viva GLINT, Visier, HR data systems.
+ Preprocessing structured/unstructured data.
+ Advanced MS Excel, PowerPivot, Power BI, Power Platform, DAX.
**Other Requirements:**
+ Ability to work in virtual teams across time zones.
+ Broad understanding of HR processes and metrics (e.g., Workforce Metrics, Recruitment, Compensation, Talent Management).
+ People management experience (a plus).
+ Knowledge of ERP, HR systems, and Business Intelligence tools.
+ Ability to handle stress and prioritize effectively with management support.
Analyst II, Data Analysis
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Job Description:
Job Purpose
We are seeking a detail-oriented and technically skilled Senior Data Analyst to join our Reference Data Operations team. The ideal candidate will be responsible for analyzing, maintaining, and improving data processes related to the Securitized Securities market. This role involves working with large datasets, identifying process improvement opportunities, and implementing automation solutions to enhance data quality and operational efficiency.
Responsibilities
- Analyze and maintain reference data for securitized securities and structured finance instruments.
- Identify and implement process improvements to enhance data accuracy and operational workflows.
- Develop and maintain scripts and tools using SQL, VBA, and Python to automate data processing tasks.
- Collaborate with cross-functional teams to gather requirements and deliver data solutions.
- Ensure data integrity and compliance with regulatory standards using XBRL and XML formats.
- Integrate data from various sources using REST APIs and structured data formats like JSON.
- Support the deployment and maintenance of automation tools such as Automation Anywhere, Blue Prism, and UI Path.
- Document data processes, workflows, and technical specifications for internal use and audits.
Knowledge and Experience
- Bachelor's degree in Statistics, computer science, Finance, Information Systems, or a related field.
- Master's degree in Business Administration, Data Science and Business Analytics is preferred
- Proficiency in SQL, VBA, and Python for data analysis and automation.
- Experience with XBRL, XML, JSON, and REST API integration.
- Familiarity with RPA tools such as Automation Anywhere, Blue Prism, and UI Path.
- 5 years of experience in process automations
- Familiarity of capital markets domain.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work independently and collaboratively in a fast-paced environment.
Apprenticeship in Data Analysis
Posted 8 days ago
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Key Learning Areas:
- Data collection and cleaning methodologies.
- Performing exploratory data analysis (EDA).
- Developing and implementing data visualization techniques.
- Understanding and applying statistical concepts.
- Introduction to SQL for data extraction and manipulation.
- Basics of Python for data analysis (Pandas, NumPy).
- Working with large datasets and identifying patterns.
- Assisting in the preparation of data-driven reports and presentations.
- Recent graduate with a Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong interest in data analysis and business intelligence.
- Basic understanding of statistical concepts.
- Familiarity with spreadsheet software (e.g., Microsoft Excel).
- Excellent analytical and problem-solving skills.
- Good communication and interpersonal skills.
- Eagerness to learn and adapt to new technologies.
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Assistant Manager IT Data Analysis
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Assistant Manager IT Data Analysis
Summary
An IT Data Analyst is responsible for collecting, analyzing, and interpreting data from various sources to help organizations make informed business decisions. They design, maintain, and optimize data systems and databases, transforming raw data into actionable insights.
Key Responsibilities
- Collect, compile, and analyze data from internal and external sources, ensuring data quality and integrity.
- Develop, implement, and maintain databases, data collection systems, and analytics frameworks to optimize statistical efficiency and quality.
- Identify, analyze, and interpret trends or patterns in complex datasets.
- Clean and validate data to ensure accuracy, completeness, and reliability.
- Create dashboards, charts, presentations, and reports to present analysis for internal/external teams.
- Collaborate with stakeholders across departments to identify business requirements for reporting purposes, trend analysis and support data-driven decision-making.
- Generate and automate regular and ad hoc reports to support business needs from different sources of data input.
- Troubleshoot and resolve any data or reporting issues for MS Excel and Power BI.
- Recommend and implement process improvements for data management and analytics.
- Ensure compliance with data security and privacy policies.
Required Skills and Qualifications
- Bachelor's degree in computer science, Information Technology, Statistics, or a related field.
- Proficient in data analysis tools such as Excel, Power Point, SQL, Power BI, Python.
- Strong understanding of database design, management, and data warehousing concepts.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong verbal and written communication skills to explain technical results to various stakeholders.
- Attention to detail and a commitment to data accuracy and security.
- Knowledge of ITSM tools (e.g. ServiceNow, BMC Remedy, Fresh Service)
Good-to-Have
- Experience with cloud data platforms or big data technologies.
- Familiarity with business intelligence (BI) software.
- Knowledge of industry-specific compliance requirements (e.g., GDPR, HIPAA).
Big Data Engineer, Data Analysis
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What can you tell your friends
when they ask you what you do?“As a Data Analyst at data.ai, I help analyze, monitor, and deliver comprehensive and high-quality app market data to app professionals. I am empowered to work independently with the support of team members spread across APAC, AMER, and EMEA. I am the key contributor to the new and existing product data quality analysis and convert it into actionable insight. I help build, maintain, and enhance the monitoring system with systematic and statistical measurements to ensure the entire core Intelligence data quality. I work closely with Product Managers, Data Scientists, and the Engineering team to develop, sustain and improve our product and ship it to the customers with pride.”
To ensure we execute on our values we are looking for someone who has a passion for:
As a Data Analyst, you will be working on data profiling, data cleansing, data quality monitoring, and root cause analysis which includes:
You should recognize yourself in the following…
This position is located in Hyderabad, India.
We are hiring for our engineering team at our data.ai India subsidiary entity, which is in the process of getting established . As we are awaiting approval from the Indian government, they shall be interim employees at Innova Solutions who is our Global Employer of Record.
Senior Geologist - Remote Sensing & Data Analysis
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Responsibilities:
- Geospatial Data Interpretation: Analyze satellite imagery (e.g., Landsat, Sentinel, ASTER) and aerial data for geological feature identification, mineral mapping, and alteration zone detection.
- Data Processing and Integration: Utilize GIS and remote sensing software (e.g., ENVI, ArcGIS, ERDAS Imagine) to process, analyze, and integrate diverse geological and geophysical datasets.
- Prospect Generation: Develop and refine methodologies for identifying high-potential exploration targets based on remote sensing and geological data integration.
- Model Development: Contribute to the development and validation of geological and mineral deposit models informed by remote sensing data.
- Technical Reporting: Prepare detailed technical reports and presentations summarizing findings, methodologies, and recommendations for exploration strategies.
- Collaboration: Work closely with field geologists, geophysicists, and data scientists in a collaborative remote environment.
- Research and Development: Stay abreast of the latest advancements in remote sensing technology and geological data analysis techniques.
Qualifications:
- Education: Master's or Ph.D. in Geology, Earth Sciences, or a related field with a strong focus on remote sensing and GIS.
- Experience: Minimum of 8 years of relevant professional experience in geological exploration, with a significant emphasis on remote sensing data application.
- Software Proficiency: Advanced skills in GIS software (ArcGIS, QGIS) and remote sensing software (ENVI, ERDAS Imagine, Google Earth Engine). Experience with programming languages like Python or R for data analysis is a plus.
- Geological Knowledge: Strong understanding of structural geology, mineralogy, petrology, and various mineral deposit types.
- Analytical Skills: Exceptional analytical and critical thinking skills with the ability to interpret complex geospatial and geological data.
- Remote Work Aptitude: Demonstrated ability to work independently and productively in a fully remote setting, with excellent time management and communication skills.
This is a fully remote opportunity, offering flexibility and the chance to contribute to significant exploration projects without geographical constraints. If you are a seasoned geologist passionate about leveraging cutting-edge remote sensing technologies to unlock Earth's resources, we invite you to apply.