11,311 Predictive Modeling jobs in India

• Assist in the collection, cleaning, and preparation of large datasets for model training.
• Implement and test machine learning algorithms under the guidance of senior data scientists.
• Develop predictive models for forecasting, classification, and clustering tasks.
• Evaluate model performance using appropriate metrics and techniques.
• Visualize data and model results to communicate insights effectively.
• Collaborate with engineering and product teams to deploy and integrate models.
• Conduct literature reviews on new data science methodologies and tools.
• Contribute to the documentation of data pipelines, models, and experiments.
• Participate in team meetings and present progress updates.
• Learn and apply best practices in data science and machine learning.

• Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
• Solid understanding of machine learning concepts, algorithms (e.g., regression, classification, clustering), and their applications.
• Proficiency in programming languages like Python (with libraries like Pandas, NumPy, Scikit-learn) or R.
• Experience with SQL for data extraction and manipulation.
• Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
• Strong analytical and problem-solving abilities.
• Good communication and teamwork skills.
• Eagerness to learn and adapt in a rapidly evolving field.
• Ability to work independently and manage tasks within a hybrid setup.
• Passion for data-driven decision-making.

• Developing and implementing sophisticated predictive models using various machine learning techniques (e.g., regression, classification, clustering, deep learning).
• Cleaning, transforming, and preparing large datasets for analysis and modeling.
• Evaluating model performance and iterating to improve accuracy and efficiency.
• Deploying models into production environments and monitoring their performance over time.
• Communicating complex findings and insights clearly to both technical and non-technical stakeholders.
• Collaborating with engineering teams to integrate data science solutions into products and services.
• Researching and staying updated on the latest advancements in data science and artificial intelligence.
• Mentoring junior data scientists and contributing to the team's knowledge base.

• Design, develop, and implement machine learning models and algorithms.
• Process, clean, and analyze large and complex datasets.
• Build and optimize predictive models for various applications.
• Collaborate with data scientists and engineers to deploy ML models into production.
• Develop and maintain MLOps pipelines for model training, deployment, and monitoring.
• Evaluate model performance and implement improvements.
• Stay current with the latest research and techniques in AI and Machine Learning.
• Contribute to the development of AI strategies and roadmaps.
• Write high-quality, production-ready code in Python or other relevant languages.
• Document models, algorithms, and experiments thoroughly.

• Master's or PhD in Computer Science, Data Science, Statistics, or a related quantitative field.
• Proven experience in developing and deploying machine learning models.
• Strong programming skills in Python and libraries like TensorFlow, PyTorch, Scikit-learn.
• Solid understanding of statistical modeling, data mining, and machine learning algorithms.
• Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
• Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps principles.
• Excellent analytical and problem-solving skills.
• Strong communication and collaboration abilities.
• Experience with NLP or Computer Vision is desirable.

About Crunchyroll

Founded by fans, Crunchyroll delivers the art and culture of anime to a passionate community. We super-serve over 100 million anime and manga fans across 200+ countries and territories, and help them connect with the stories and characters they crave. Whether that experience is online or in-person, streaming video, theatrical, games, merchandise, events and more, it’s powered by the anime content we all love.

Join our team, and help us shape the future of anime!

About the role

Crunchyroll is growing and changing, presenting unique challenges and opportunities to support millions of anime fans around the world. The AI/ML team provides seamless help to our internal stakeholders, ensuring an exceptional experience for all Crunchyroll fans.

About You

We get excited about candidates, like you, because.

About the Team

The R&D team is dedicated to developing, testing, and validating robust and scalable machine learning models that drive business objectives. Our focus includes enhancing operational processes through AI/ML solutions, such as trend analysis, anomaly detection, and the deployment of large language models (LLMs) for tasks like querying system health. Another major focus area is preserving, and improving customer experience and retention. We closely work with our stakeholders to ensure AI/ML objectives are clearly defined.

About our Values

We want to be everything for someone rather than something for everyone and we do this by living and modeling our values in all that we do. We value

Our commitment to diversity and inclusion

Our mission of helping people belong reflects our commitment to diversity & inclusion. It's just the way we do business.

We are an equal opportunity employer and value diversity at Crunchyroll. Pursuant to applicable law, we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Crunchyroll, LLC is an independently operated joint venture between US-based Sony Pictures Entertainment, and Japan's Aniplex, a subsidiary of Sony Music Entertainment (Japan) Inc., both subsidiaries of Tokyo-based Sony Group Corporation.

Questions about Crunchyroll’s hiring process? Please check out our Hiring FAQs: 

Please refer to our Candidate Privacy Policy for more information about how we process your personal information, and your data protection rights:

Please beware of recent scams to online job seekers. Those applying to our job openings will only be contacted directly from @crunchyroll.com email account.

Greetings from Colan Infotech!

Role - Data Scientist

Experience - 6+ Years

Job Location - Chennai/Bangalore

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

Interested candidates send updated resume to

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.