79 Statistical Analysis jobs in Hyderabad
Data Science
Posted today
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• .Use machine learning, statistical, and programming skills to enable data analytics.
• Drive informed decision-making and present findings to both technical and non-technical audiences.
• Work closely with physicians to identify medically relevant use cases, develop machine learning models, and validate impact.
• Deliver insights and values from heterogeneous data to investigate complex problems in the health care domain for multiple use cases
• Provide technical direction and mentor junior members of the Medical Informatics team.
• Work closely with software engineers to facilitate model integration and deployment.
• Embrace a fast-paced, collaborative environment dedicated to building atop cutting-edge technology.
Data Science
Posted today
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Job Description
- Engage with clients to understand their business context
- Translate business problems into analytical structures and solve using statistical/ML techniques
- Collaborate with a team of data scientists and engineers to embed AI and analytics into the business decision processes
- Desired Skills, Competencies & Experience:
- 3+ years of relevant AI/ML experience
- Hands on experience on AWS Sagemaker, AWS Rekognition, Textract and Amazon Forecast
- Experience in Developing and enhancing algorithms and models to solve business problem
- Maintaining all models along with development and updating of code and process documentation
- Designing data science solution approaches to unstructured problems, conducting quantitative analyses and interpreting results
- Proficient in Structured programming language is a must - Python is mandatory.
- Strong SQL, Microsoft Excel, PowerPoint skills
- Data science approaches, machine learning algorithms and statistical methods.
- Excellent written and verbal communication skills
Digital : Data Science
Posted 3 days ago
Job Viewed
Job Description
Role**: Digital : Data Science
Required Technical Skill Set: Digital : Data Science
Desired Experience Range: 03 - 08 yrs
Notice Period: Immediate to 90Days only
Location of Requirement: Hyderabad/Bangalore/Pune/Chennai/Kolkata
We are currently planning to do a Virtual Interview
Job Description:
Must-Have**
(Ideally should not be more than 3-5)
Proficiency in Python or R for data analysis and modeling.
Strong understanding of machine learning algorithms (regression, classification, clustering, etc.).
Experience with SQL and working with relational databases.
Hands-on experience with data wrangling, feature engineering, and model evaluation techniques.
Experience with data visualization tools like Tableau, Power BI, or matplotlib/seaborn.
Strong understanding of statistics and probability.
Ability to translate business problems into analytical solutions.
Good-to-Have
Experience with deep learning frameworks (TensorFlow, Keras, PyTorch).
Knowledge of big data platforms (Spark, Hadoop, Databricks).
Experience deploying models using MLflow, Docker, or cloud platforms (AWS, Azure, GCP).
Familiarity with NLP, computer vision, or time series forecasting.
Exposure to MLOps practices for model lifecycle management.
Understanding of data privacy and governance concepts.
SN
Responsibility of / Expectations from the Role
1
Work with stakeholders to identify business requirements and opportunities for leveraging data.
Design and implement advanced analytics models using machine learning and statistical techniques.
Clean, process, and analyze large datasets from various sources (structured & unstructured).
Develop, test, and deploy predictive models and data pipelines.
Create data visualizations, dashboards, and reports to communicate insights to non-technical users.
Collaborate with data engineers, analysts, and product teams to integrate models into production environments.
Monitor and continuously improve model performance.
Stay up-to-date with latest research, tools, and techniques in data science and AI.
Digital : Data Science
Posted 3 days ago
Job Viewed
Job Description
Required Technical Skill Set: Digital : Data Science
Desired Experience Range: 03 - 08 yrs
Notice Period: Immediate to 90Days only
Location of Requirement: Hyderabad/Bangalore/Pune/Chennai/Kolkata
We are currently planning to do a Virtual Interview
Job Description:
Must-Have**
(Ideally should not be more than 3-5)
Proficiency in Python or R for data analysis and modeling.
Strong understanding of machine learning algorithms (regression, classification, clustering, etc.).
Experience with SQL and working with relational databases.
Hands-on experience with data wrangling, feature engineering, and model evaluation techniques.
Experience with data visualization tools like Tableau, Power BI, or matplotlib/seaborn.
Strong understanding of statistics and probability.
Ability to translate business problems into analytical solutions.
Good-to-Have
Experience with deep learning frameworks (TensorFlow, Keras, PyTorch).
Knowledge of big data platforms (Spark, Hadoop, Databricks).
Experience deploying models using MLflow, Docker, or cloud platforms (AWS, Azure, GCP).
Familiarity with NLP, computer vision, or time series forecasting.
Exposure to MLOps practices for model lifecycle management.
Understanding of data privacy and governance concepts.
SN
Responsibility of / Expectations from the Role
1
Work with stakeholders to identify business requirements and opportunities for leveraging data.
Design and implement advanced analytics models using machine learning and statistical techniques.
Clean, process, and analyze large datasets from various sources (structured & unstructured).
Develop, test, and deploy predictive models and data pipelines.
Create data visualizations, dashboards, and reports to communicate insights to non-technical users.
Collaborate with data engineers, analysts, and product teams to integrate models into production environments.
Monitor and continuously improve model performance.
Stay up-to-date with latest research, tools, and techniques in data science and AI.
Data Science Analyst
Posted today
Job Viewed
Job Description
Are you passionate about transforming data into actionable insights? Do you thrive in a fast-paced, innovative environment? We’re looking for a Data Science Analyst to join our team and help us drive data-informed decisions that shape the future of our business.
What You’ll Do
- Analyze complex datasets to uncover trends, patterns, and actionable insights.
- Develop predictive models and statistical analyses to support business strategies.
- Collaborate with cross-functional teams to understand data needs and deliver solutions.
- Build dashboards and visualizations to communicate findings effectively to stakeholders.
- Stay ahead of data trends and implement best practices in analytics and machine learning.
What We’re Looking For
- Bachelor's or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
- Strong programming skills in Python, R, or SQL.
- Experience with data visualization tools (Tableau, Power BI, etc.).
- Solid understanding of machine learning algorithms and statistical methods.
- Excellent problem-solving and communication skills.
- A curious mindset with a passion for exploring data.
Why Join Us?
- Opportunity to work on exciting, high-impact projects.
- Collaborative and supportive work environment.
- Resources for professional development and growth.
- A chance to shape the future of data-driven decision-making.
Data Science Intern
Posted today
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Job Description
About the Company
ZeTheta Algorithms Private Limited is a FinTech start-up which has been recently set up and is developing innovative AI tools.
About the Role
As a Data Scientist intern, you will work on cutting-edge projects involving financial data analysis, investment research, and risk modelling. You will have the opportunity to engage in multiple mini-projects or take up a focused innovation-based research project. The project experience is designed to provide practical exposure to data science in the context of asset management, trading, and financial technology. We provide problem statements, methodology and after you submit your solution to develop the solutions/ model, we also showcase to you sample solution. You can use our sample solution to modify your project submission and expand further based on suggestions given in our sample solution. You can opt for your own research based data science solution to develop/ model.
Responsibilities
- Conduct data cleaning, wrangling, and pre-processing for financial datasets.
- Assist investment teams in equity research, fixed income research, portfolio management, and economic analysis.
- Apply statistical techniques to financial problems such as credit risk modelling, probability of default, and value-at-risk estimation.
- Work with big data sources including financial reports, macroeconomic datasets, and alternative investment data.
- Use either one – Python, Excel or R to analyse, visualize, and model financial data.
- Participate in research projects related to quantitative trading, financial derivatives, and portfolio optimization.
Who Should Apply?
- Any student even without coding skills can upskill (self learning) to develop Data Science Solutions. Some basic knowledge of Excel or Python or R script can help complete the projects quicker. We permit the use of all LLMs/ NLPs to help students to develop the solutions.
- Strong problem-solving and analytical skills.
- Able to self-learn and work independently in a remote, flexible environment.
Internship Details
- Duration: Option of 1 month, 2 month, 3 month, 4 month or 6 months
- Timing: Self-paced.
- Type: Unpaid
Digital: Data Science
Posted today
Job Viewed
Job Description
Role**: Digital : Data Science
Required Technical Skill Set: Digital : Data Science
Desired Experience Range: 03 - 08 yrs
Notice Period: Immediate to 90Days only
Location of Requirement: Hyderabad/Bangalore/Pune/Chennai/Kolkata
We are currently planning to do a Virtual Interview
Job Description:
Must-Have**
(Ideally should not be more than 3-5)
Proficiency in Python or R for data analysis and modeling.
Strong understanding of machine learning algorithms (regression, classification, clustering, etc.).
Experience with SQL and working with relational databases.
Hands-on experience with data wrangling, feature engineering, and model evaluation techniques.
Experience with data visualization tools like Tableau, Power BI, or matplotlib/seaborn.
Strong understanding of statistics and probability.
Ability to translate business problems into analytical solutions.
Good-to-Have
Experience with deep learning frameworks (TensorFlow, Keras, PyTorch).
Knowledge of big data platforms (Spark, Hadoop, Databricks).
Experience deploying models using MLflow, Docker, or cloud platforms (AWS, Azure, GCP).
Familiarity with NLP, computer vision, or time series forecasting.
Exposure to MLOps practices for model lifecycle management.
Understanding of data privacy and governance concepts.
SN
Responsibility of / Expectations from the Role
1
Work with stakeholders to identify business requirements and opportunities for leveraging data.
Design and implement advanced analytics models using machine learning and statistical techniques.
Clean, process, and analyze large datasets from various sources (structured & unstructured).
Develop, test, and deploy predictive models and data pipelines.
Create data visualizations, dashboards, and reports to communicate insights to non-technical users.
Collaborate with data engineers, analysts, and product teams to integrate models into production environments.
Monitor and continuously improve model performance.
Stay up-to-date with latest research, tools, and techniques in data science and AI.
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Data Science Engineer
Posted today
Job Viewed
Job Description
•Experience in data processing tools such as Talend processing data formats such as CSV, XML, JSON, etc would be required.
•The ability to combine big data with traditional relational databases such as SQL Server or Oracle would be an advantage for the role.
•The ability to program in Python and an awareness of common libraries and how they are used is beneficial.
•Awareness of Tableau or equivalent visualization tools and associated concepts would be beneficial as these are used extensively by the Research Line of Business.
•Awareness of Natural Language Processing models, techniques, and concepts would be advantageous as this is a growth area for the Line of Business.
•Awareness of the Cloudera big data technology stack and an understanding of big data concepts and demonstrable experience of retrieving data, joining data, and managing data in a Hadoop database via tools such as HUE would be an asset.
•A good understanding of ETL tools used on big data platforms and demonstrable experience in creating and managing data pipelines would be essential for this role.
Candidate should have
• Experience working with ETL, Python, Hadoop, Talend.
•Prior experience working in the financial industry is highly preferred.