1,470 Predictive Modeling jobs in India

• Master's or Ph.D. in Statistics, Computer Science, Mathematics, or a related quantitative field.
• Minimum of 5 years of hands-on experience in data science and predictive modeling.
• Proven expertise in developing and deploying various machine learning models (e.g., regression, classification, time series, clustering).
• Proficiency in Python or R, including common data science libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow, PyTorch).
• Strong understanding of statistical principles and experimental design.
• Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
• Excellent analytical and problem-solving skills.
• Strong communication and presentation skills, with the ability to explain complex concepts clearly.
• Experience working with large and complex datasets.
• Familiarity with SQL and database management.
• Experience in a scientific research environment is a plus.

• Assist senior data scientists in collecting, cleaning, and preparing large datasets for analysis.
• Develop and implement predictive models using various machine learning algorithms (e.g., regression, classification, clustering).
• Perform exploratory data analysis to identify trends, patterns, and insights.
• Create data visualizations to effectively communicate findings to technical and non-technical stakeholders.
• Contribute to the development and testing of new algorithms and statistical models.
• Collaborate with cross-functional teams to understand data needs and project requirements.
• Document methodologies, findings, and code for reproducibility and knowledge sharing.
• Participate in team meetings, brainstorming sessions, and code reviews.
• Learn and apply new data science techniques and tools as needed.
• Assist in the deployment and monitoring of machine learning models in production environments.

• Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
• Foundational knowledge of statistical concepts and machine learning algorithms.
• Proficiency in programming languages such as Python or R.
• Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and data visualization tools (e.g., Matplotlib, Seaborn).
• Experience with SQL for database querying.
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication abilities.
• Eagerness to learn and adapt to new technologies.
• Ability to work independently and collaboratively in a remote team setting.
• Previous internship or project experience in data analysis or machine learning is a plus.

• Develop and implement sophisticated predictive models using machine learning and statistical techniques to forecast trends, identify customer behavior patterns, and optimize business processes.
• Design and conduct A/B tests and other experiments to validate model performance and impact on key business metrics.
• Collaborate closely with product managers, engineers, and business stakeholders to define project requirements, understand business needs, and communicate findings effectively.
• Clean, transform, and engineer features from large, complex datasets to prepare them for modeling.
• Build robust data pipelines and automated processes for model deployment, monitoring, and retraining.
• Evaluate and select appropriate modeling techniques, considering factors such as data availability, performance requirements, and interpretability.
• Stay current with the latest advancements in data science, machine learning, and artificial intelligence, and proactively identify opportunities to apply new methodologies.
• Create compelling data visualizations and reports to communicate complex analytical results to both technical and non-technical audiences.
• Mentor junior data scientists and contribute to the team's knowledge sharing and best practices in data science.
• Ensure data privacy and security compliance in all modeling and data handling activities.

• Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or a related discipline.
• Minimum of 5 years of professional experience in data science, with a strong focus on building and deploying predictive models in a production environment.
• Proficiency in programming languages commonly used in data science, such as Python or R, and extensive experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas, NumPy).
• Strong understanding of various machine learning algorithms, including regression, classification, clustering, time series analysis, and deep learning.
• Experience with SQL and working with large-scale databases (e.g., PostgreSQL, MySQL, BigQuery, Snowflake).
• Familiarity with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
• Excellent analytical, problem-solving, and critical thinking skills, with a keen attention to detail.
• Strong communication and presentation skills, with the ability to articulate technical concepts clearly and concisely.
• Demonstrated ability to work independently and manage multiple projects simultaneously in a remote setting.

• Design, develop, and implement advanced AI and machine learning models for predictive analytics.
• Perform data mining, feature engineering, and data preprocessing on large datasets.
• Train, evaluate, and optimize machine learning models using various algorithms.
• Deploy ML models into production environments and monitor their performance.
• Collaborate with data scientists, software engineers, and product managers to define project requirements and solutions.
• Stay abreast of the latest research and advancements in AI, ML, and deep learning.
• Develop and maintain technical documentation for AI/ML projects.
• Conduct research and experiments to explore new AI/ML techniques and applications.
• Contribute to the development of AI/ML infrastructure and best practices.
• Mentor junior engineers and share knowledge within the team.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
• 5+ years of experience in AI/ML engineering, with a focus on predictive modeling.
• Proficiency in Python and experience with ML libraries such as TensorFlow, PyTorch, Keras, and Scikit-learn.
• Strong understanding of machine learning algorithms, deep learning architectures, and statistical modeling techniques.
• Experience with data manipulation and analysis tools (e.g., Pandas, SQL).
• Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and collaboration abilities.

• Design, develop, and implement advanced AI/ML models for predictive analysis.
• Utilize large datasets to train, validate, and deploy machine learning models.
• Conduct feature engineering, model selection, and hyperparameter tuning.
• Develop robust ML pipelines for model deployment, monitoring, and retraining.
• Collaborate with data scientists and engineers to integrate models into production systems.
• Research and experiment with new AI algorithms and techniques.
• Evaluate model performance using appropriate metrics and identify areas for improvement.
• Stay current with advancements in AI/ML research and industry best practices.
• Document models, methodologies, and findings clearly.
• Contribute to the technical vision and strategy for AI/ML initiatives.
• Communicate complex technical concepts to both technical and non-technical stakeholders.

• Master's or Ph.D. in Computer Science, Data Science, Statistics, or a related quantitative field.
• Minimum of 7 years of experience in AI/ML engineering, with a focus on predictive modeling.
• Strong theoretical and practical understanding of machine learning algorithms, statistical modeling, and deep learning.
• Proficiency in programming languages such as Python and libraries like TensorFlow, PyTorch, Scikit-learn.
• Experience with big data technologies and distributed computing frameworks (e.g., Spark).
• Familiarity with cloud platforms (AWS, Azure, GCP) and their ML services.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and collaboration abilities.
• Experience deploying ML models into production environments.

Company Overview – WhatJobs Ltd

WhatJobs is a global job search engine and career platform operating in over 50 countries. We leverage advanced technology and AI-driven tools to connect millions of job seekers with opportunities, helping businesses and individuals achieve their goals.

Position: Data Science Trainee/Intern

Location: Commercial Street

Duration: 3 Months

Type: Internship/Traineeship (with potential for full-time opportunities)

Role Overview

We are looking for enthusiastic Data Science trainees/interns eager to explore the world of data analytics, machine learning, and business insights. You will work on real-world datasets, apply statistical and computational techniques, and contribute to data-driven decision-making at WhatJobs.

Key Responsibilities

• Collect, clean, and analyze datasets to derive meaningful insights.
• Assist in building and evaluating machine learning models.
• Work with visualization tools to present analytical results.
• Support the team in developing data pipelines and automation scripts.
• Research new tools, techniques, and best practices in data science.

Requirements

• Basic knowledge of Python and data science libraries (Pandas, NumPy, Matplotlib, Scikit-learn).
• Understanding of statistics, probability, and data analysis techniques.
• Familiarity with machine learning concepts.
• Knowledge of Google Data Studio and BigQuery for reporting and data management.
• Strong analytical skills and eagerness to learn.
• Good communication and teamwork abilities.

What We Offer

• Hands-on experience with real-world data science projects.
• Guidance and mentorship from experienced data professionals.
• Opportunity to work with a global technology platform.
• Certificate of completion and potential for full-time role.

Experience: 6-8years

Looking for Senior Data Science Developers (immediate joiners).

Key Responsibilities:

• Analyze large, complex datasets to identify trends, patterns, and opportunities.
• Develop and deploy machine learning models to solve business challenges.
• Communicate findings through data visualizations and reports.
• Collaborate with data engineers, analysts, and product teams to turn insights into action.
• Design and implement A/B tests to evaluate feature performance or business hypotheses.
• Translate business problems to data science problem
• Work with stakeholders to understand data needs and deliver custom solutions.

Must have Skills:

• Proficiency in Python for data analysis and modeling.
• Strong knowledge of SQL and working with relational databases.
• Experience with machine learning algorithms and libraries (e.g., scikit-learn, TensorFlow, XGBoost etc).
• Experience in Forecasting will be added advantage
• Solid understanding of statistics , probability , and hypothesis testing .
• Knowledge of deep learning frameworks (e.g., PyTorch, TensorFlow).
• Working knowledge with cloud platforms like AWS, Databricks (Databricks preferred)
• Experience in MLOP's and CI/CD work flow
• Expeirence in developing end to end pipeline in any of cloud platform (AWS and Databricks)

Company Overview

GOVIAFLY CARGO AND LOGISTICS PRIVATE LIMITED is a prominent player in the transportation, logistics, supply chain, and storage industry. Headquartered in Bangalore, we are dedicated to delivering exceptional logistical solutions. With a dynamic team size of 11-50 employees, we specialize in offering comprehensive cargo and logistics services, ensuring efficiency and reliability in each facet of our business. Visit our website at viaflylogistics.com to learn more about our services.

Job Overview

We are seeking a highly motivated Data Science fresher to join GOVIAFLY CARGO AND LOGISTICS PRIVATE LIMITED based in Bangalore Urban. This is a full-time position ideal for candidates with 0 to 1 year of work experience. The successful candidate will play a crucial role in analyzing and interpreting complex data sets to help drive strategic decision-making within the company. Must possess a strong ability in data visualization as an essential skill.

Qualifications and Skills

• Proficiency in data cleaning techniques to ensure data quality and accuracy for reliable insights.
• Strong knowledge of statistical analysis methods to interpret data effectively and draw meaningful conclusions.
• Basic understanding of machine learning principles and algorithms to aid in data-driven decision making.
• Experience with payroll processing, reflecting an understanding of financial data management.
• Data visualization skills to communicate data insights effectively. (Mandatory skill)
• Ability to work independently and collaboratively within a team to achieve common objectives.
• Strong problem-solving skills to address complex data challenges and provide actionable recommendations.
• Excellent communication skills, both written and verbal, to present data findings clearly.

Roles and Responsibilities

• Analyze large datasets to discover trends and patterns that support business objectives.
• Collaborate with team members to understand data requirements and design analytical solutions.
• Develop and implement data models to optimize business processes and improve operational efficiency.
• Create intuitive data visualizations and dashboards to present insights to stakeholders.
• Conduct statistical analysis to evaluate the impact of business strategies and initiatives.
• Support the companys data-driven culture by promoting and educating team members on data importance.
• Assist in the automation of data processing tasks to enhance efficiency and reduce manual intervention.
• Stay updated on industry trends and advancements in data science to apply best practices.

Greetings from Colan Infotech!

Role - Data Scientist

Experience - 6+ Years

Job Location - Chennai

Notice Period - Immediate to 30 Days

Primary Skills Needed   : AI/ML, Tensorflow, Django, Pytorch, NLP, Image processing,Gen AI,LLM

Secondary Skills Needed   : Keras, OpenCV, Azure or AWS

Job Description:-

• Practical knowledge and working experience on Statistics and Operation Research methods.
• Practical knowledge and working experience in tools and frameworks like Flask, PySpark, Pytorch, tensorflow, keras, Databricks, OpenCV, Pillow/PIL, streamlit, d3js, dashplotly, neo4j.
• Good understanding of how to apply predictive and machine learning techniques like regression models, XGBoost, random forest, GBM, Neural Nets, SVM etc.
• Proficient with NLP techniques like RNN, LSTM and Attention based models and effectively handle readily available stanford, IBM, Azure, Open AI NLP models.
• Good understanding of SQL from a perspective of how to write efficient queries for pulling the data from database.
• Hands on experience on any version control tool (github, bitbucket). Experience of deploying ML models into production environment experience (MLOps) in any one of the cloud platforms like Azure and AWS
• Comprehend business issues and propose valuable business solutions.
• Design Factual or AI/profound learning models to address business issues.
• Design Statistical Models/ML/DL models and deploy them for production.
• Formulate what information is accessible from where and how to augment it.
• Develop innovative graphs for data comprehension using d3js, dashplotly and neo4j