422 Data Scientist jobs in Chennai

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Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow-people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.
**Job Description:**
**DATA SCIENTIST**
**JOB SUMMARY**
This **Data Scientist** creates and implements advanced analytics models and solutions to yield predictive and prescriptive insights from large volumes of structured and unstructured data. This position works with a team responsible for the research and implementation of predictive requirements by leveraging industry standard machine learning and data visualization tools to draw insights that empower confident decisions and product creation. This position leverages emerging tools and technologies available in On-prem and Cloud environments. This position utilizes industry standard machine learning and data visualization tools to transform data and analytics requirements into predictive solutions and provide data literacy on a range of machine learning systems at UPS. This position identifies opportunities for driving descriptive to predictive and prescriptive solutions, which become inputs to department and project teams on their decisions supporting projects.
**RESPONSIBILITIES**
+ Defines key data sources from UPS and external sources to deliver models.
+ Develops and implements pipelines that facilitates data cleansing, data transformations, data enrichments from multiple sources (internal and external) that serve as inputs for data and analytics systems.
+ For larger teams, works with data engineering teams to validate and test data and model pipelines identified during proof of concepts.
+ Develops data design based on the exploratory analysis of large amounts of data to discover trends and patterns that meet stated business needs.
+ Defines model key performance indicator (KPI) expectations and validation, testing, and re-training of existing models to meet business objectives.
+ Reviews and creates repeatable solutions through written project documentation, process flowcharts, logs, and commented clean code to produce datasets that can be used in analytics and/or predictive modeling.
+ Synthesizes insights and documents findings through clear and concise presentations and reports to stakeholders.
+ Presents operationalized analytic findings and provides recommendations.
+ Incorporates best practices on the use of statistical modeling, machine learning algorithms, distributed computing, cloud-based AI technologies, and run time performance tuning with the goal of deployment and market introduction.
+ Leverages emerging tools and technologies together with the use of open-source or vendor products in the creation and delivery of insights that support predictive and prescriptive solutions.
**QUALIFICATIONS**
+ Expertise in R, SQL, Python and/or any other high-level languages.
+ Exploratory data analysis (EDA), data engineering and development of advanced analytics models.
+ Experience in development of AI and ML using platforms like VertexAI, Databricks or Sagemaker, and familiarity with available frameworks like PyTorch, Tensorflow and Keras.
+ Experience applying models from small to medium scaled problems.
+ Strong analytical skills and attention to detail.
+ Able to engage key business and executive-level stakeholders to translate business problems to a high-level analytics solution approach.
+ Expertise with statistical techniques, machine learning, and/or operations research and their application in business.
+ Deep understanding of data management pipelines and experience in launching moderate scale advanced analytics projects in production.
+ Demonstrated experience in Cloud-AI technologies and knowledge of environments both in Linux/Unix and Windows.
+ Experience implementing open-source technologies and cloud services; with or without the use of enterprise data science platforms.
+ Core AI / Machine Learning knowledge and application in supervised and unsupervised learning domains.
+ Familiarity with Java or C++ is a plus.
+ Solid oral and written communication skills, especially around analytical concepts and methods.
+ Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audiences.
+ Master's Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience.
**Last Day Posted - 2/25/2024**
**Employee Type:**
Permanent
UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.

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Découvrez votre prochaine opportunité au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunités innovantes, découvrez notre culture enrichissante et travaillez avec des équipes talentueuses qui vous poussent à vous développer chaque jour. Nous savons ce qu'il faut faire pour diriger UPS vers l'avenir : des personnes passionnées dotées d'une combinaison unique de compétences. Si vous avez les qualités, de la motivation, de l'autonomie ou le leadership pour diriger des équipes, il existe des postes adaptés à vos aspirations et à vos compétences d'aujourd'hui et de demain.
**Fiche de poste :**
**DATA SCIENTIST**
**JOB SUMMARY**
This **Data Scientist** creates and implements advanced analytics models and solutions to yield predictive and prescriptive insights from large volumes of structured and unstructured data. This position works with a team responsible for the research and implementation of predictive requirements by leveraging industry standard machine learning and data visualization tools to draw insights that empower confident decisions and product creation. This position leverages emerging tools and technologies available in On-prem and Cloud environments. This position utilizes industry standard machine learning and data visualization tools to transform data and analytics requirements into predictive solutions and provide data literacy on a range of machine learning systems at UPS. This position identifies opportunities for driving descriptive to predictive and prescriptive solutions, which become inputs to department and project teams on their decisions supporting projects.
**RESPONSIBILITIES**
+ Defines key data sources from UPS and external sources to deliver models.
+ Develops and implements pipelines that facilitates data cleansing, data transformations, data enrichments from multiple sources (internal and external) that serve as inputs for data and analytics systems.
+ For larger teams, works with data engineering teams to validate and test data and model pipelines identified during proof of concepts.
+ Develops data design based on the exploratory analysis of large amounts of data to discover trends and patterns that meet stated business needs.
+ Defines model key performance indicator (KPI) expectations and validation, testing, and re-training of existing models to meet business objectives.
+ Reviews and creates repeatable solutions through written project documentation, process flowcharts, logs, and commented clean code to produce datasets that can be used in analytics and/or predictive modeling.
+ Synthesizes insights and documents findings through clear and concise presentations and reports to stakeholders.
+ Presents operationalized analytic findings and provides recommendations.
+ Incorporates best practices on the use of statistical modeling, machine learning algorithms, distributed computing, cloud-based AI technologies, and run time performance tuning with the goal of deployment and market introduction.
+ Leverages emerging tools and technologies together with the use of open-source or vendor products in the creation and delivery of insights that support predictive and prescriptive solutions.
**QUALIFICATIONS**
+ Expertise in R, SQL, Python and/or any other high-level languages.
+ Exploratory data analysis (EDA), data engineering and development of advanced analytics models.
+ Experience in development of AI and ML using platforms like VertexAI, Databricks or Sagemaker, and familiarity with available frameworks like PyTorch, Tensorflow and Keras.
+ Experience applying models from small to medium scaled problems.
+ Strong analytical skills and attention to detail.
+ Able to engage key business and executive-level stakeholders to translate business problems to a high-level analytics solution approach.
+ Expertise with statistical techniques, machine learning, and/or operations research and their application in business.
+ Deep understanding of data management pipelines and experience in launching moderate scale advanced analytics projects in production.
+ Demonstrated experience in Cloud-AI technologies and knowledge of environments both in Linux/Unix and Windows.
+ Experience implementing open-source technologies and cloud services; with or without the use of enterprise data science platforms.
+ Core AI / Machine Learning knowledge and application in supervised and unsupervised learning domains.
+ Familiarity with Java or C++ is a plus.
+ Solid oral and written communication skills, especially around analytical concepts and methods.
+ Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audiences.
+ Master's Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience.
**Last Day Posted - 2/25/2024**
**Type de contrat:**
en CDI
_Chez UPS, égalité des chances, traitement équitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attachés._

Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way.
Logitech is the Sweet Spot for people who want their actions to have a positive global impact while having the flexibility to do it in their own way.
Location: Chennai, India
Team: Marketing Digital Transformation
Job Type: Full-Time, Hybrid (In-Office 2-3/times per week mandatory)
Experience Level: 8+ years
**About the Role:**
We are seeking a highly skilled and motivated Data Scientist to join our team within the Marketing Digital Transformation organization. In this role, you will leverage your analytical skills, machine learning knowledge, statistical acumen and Gen AI-proficiency to uncover insights from marketing data and drive data-informed decision-making across campaigns, customer engagement, and digital experiences.
**Your Contribution:**
Be Yourself. Be Open. Stay Hungry and Humble. Collaborate. Challenge. Decide and just Do. Share our passion for Equality and the Environment. These are the behaviors and values you'll need for success at Logitech
In this role you will:
+ Apply statistical and machine learning techniques to solve real-world marketing problems (e.g., customer segmentation, churn prediction, marketing attribution).
+ Design and analyze experiments, including A/B testing frameworks, to support marketing optimization efforts.
+ Build, evaluate and deploy predictive models using Python and associated data science libraries
+ Develop reproducible data science workflows and analysis in Jupyter Notebooks
+ Translate complex data findings into actionable insights via compelling stories told over dashboards and visualizations
+ Collaborate with marketing strategists, campaign managers, and other cross-functional stakeholders to define data needs and deliver impactful solutions
+ Support our segmentation leads by performing targeted data analysis, identifying meaningful customer patterns, and contributing to the development and refinement of audience segments
+ Work with structured and unstructured data; design and manage efficient data pipelines and database structures
+ Evaluate data quality and propose improvements, including data cleaning strategies, enhanced data collection methods, and other initiatives to ensure reliable and actionable data.
+ Collaborate closely with visualization engineers and data engineers to ensure seamless integration of data workflows, visualizations, and scalable data infrastructure.
**Career Path & Growth Opportunities:**
Visible Growth Path:
+ Team members can witness real, measurable career progression.
+ Many have advanced to pivotal roles, contributing to the development of digital office features and organizational transformation, especially in data analytics.
Cross-Functional Experience:
+ Hands-on integration: Collaborate on aligning commercial, marketing, and customer data platforms across different domains.
+ Strategic exposure: Transition these data assets into a scalable Snowflake platform, a modern cloud-based data warehousing framework.
Cultural Strength:
+ Ownership/accountability: Volunteer for initiatives that require leadership.
+ Curiosity and critical thinking: Embrace curiosity by exploring new technologies or data methodologies and aim to ask insightful questions to navigate challenges creatively and unlock opportunities.
**Key Qualifications:**
**Education & Experience:**
+ Bachelor's or Master's degree in Computer Science, Statistics, Engineering, or a related field.
+ Minimum of 8 years of experience in a Data Science role, preferably with a focus on marketing or customer analytics
**Technical and Human Skills:**
+ Strong proficiency in Python for data analysis, statistical modeling, and machine learning
+ Solid understanding of frameworks such as regression analysis, classification models, time series analysis, explainable ML/AI (e.g. SHAP), A/B testing, and experimental design
+ Proficiency with SQL and strong understanding of data structures and databases
+ Experience with Jupyter Notebooks is required; AWS Cloud Services/Snowflake experience is a plus (SageMaker, s3, Athena, Lambda.)
+ Experience with Tableau or similar dashboarding/BI tool
+ Knowledge of how to integrate Generative AI tools into data science workflows to enhance productivity, creativity, and insight generation
+ Advanced professional proficiency in English, both written and verbal.
+ Ability to work independently and collaboratively in a fast-paced, business-oriented, data-driven environment
+ Strong communication skills with the ability to present and engage with non-technical stakeholders
#LI-MR2
Across Logitech we empower collaboration and foster play. We help teams collaborate/learn from anywhere, without compromising on productivity or continuity so it should be no surprise that most of our jobs are open to work from home from most locations. Our hybrid work model allows some employees to work remotely while others work on-premises. Within this structure, you may have teams or departments split between working remotely and working in-house.
Logitech is an amazing place to work because it is full of authentic people who are inclusive by nature as well as by design. Being a global company, we value our diversity and celebrate all our differences. Don't meet every single requirement? Not a problem. If you feel you are the right candidate for the opportunity, we strongly recommend that you apply. We want to meet you!
We offer comprehensive and competitive benefits packages and working environments that are designed to be flexible and help you to care for yourself and your loved ones, now and in the future. We believe that good health means more than getting medical care when you need it. Logitech supports a culture that encourages individuals to achieve good physical, financial, emotional, intellectual and social wellbeing so we all can create, achieve and enjoy more and support our families. We can't wait to tell you more about them being that there are too many to list here and they vary based on location.
All qualified applicants will receive consideration for employment without regard to race, sex, age, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.
If you require an accommodation to complete any part of the application process, are limited in the ability, are unable to access or use this online application process and need an alternative method for applying, you may contact us toll free at for assistance and we will get back to you as soon as possible.

The role will be in one of the different teams in GDI&A(Manufacturing Analytics).
§ Potential candidates should possess a strong analytical mindset and be very comfortable with processing and manipulating large data sets in various formats.
§ Hands-on Expertise in Python programming and experience in handling various data science libraries (Pandas, Numpy, Scipy) would be a necessary requirement
§ Familiarity with analytics methods (descriptive/predictive/prescriptive) and Business Intelligence tools (Python-Matplotlib, PowerBI, QlikSense) would be a definite plus.
§ Exposure to Cloud technologies (e.g., Google Cloud), including executing Machine Learning algorithms on Cloud would be definite plus.
§ Candidates should display interest and initiative in translating a business problem into an analytical problem and determining the appropriate analytical methods to be used.
The role will be in one of the different teams in GDI&A(Manufacturing Analytics).
§ Potential candidates should possess a strong analytical mindset and be very comfortable with processing and manipulating large data sets in various formats.
§ Hands-on Expertise in Python programming and experience in handling various data science libraries (Pandas, Numpy, Scipy) would be a necessary requirement
§ Familiarity with analytics methods (descriptive/predictive/prescriptive) and Business Intelligence tools (Python-Matplotlib, PowerBI, QlikSense) would be a definite plus.
§ Exposure to Cloud technologies (e.g., Google Cloud), including executing Machine Learning algorithms on Cloud would be definite plus.
§ Candidates should display interest and initiative in translating a business problem into an analytical problem and determining the appropriate analytical methods to be used.
Candidates should have
+ BE, B.Tech, M.S. or Ph.D. in Engineering, Computer Science, Operations research, Statistics, Applied mathematics, or in a related field
+ Minimum of 2+ years' experience in Python programming language
+ 2+ years of hands-on experience in using machine learning & Business Intelligence tools and techniques such as Machine Learning (Clustering/classification/decision trees, Random forests, Support vector machines, Deep Learning, Neural networks, Reinforcement learning, and other numerical algorithms), Business Intelligence (Power BI, Engineer KPIs, Tableau, Qliksense)
+ Experience with Google Cloud Platform (GCP) / other Cloud platforms including VertexAI, BigQuery, DBT, NoSQL database and Hadoop Ecosystem
**Requisition ID** : 50367

#Urgent_Opening_for_Canvendor

#Hiring : Data Scientist (1 to 4 Years Experience) |Chennai| Immediate Joiners Preferred

Location: Chennai, India

Experience: 1 to 4 Years

Notice period: Immediate to 30days

Mandatory: Python, SQL, Product based company

#Key_Requirements :

-1–4 years of experience as a #Data_Scientist or in a similar role.

Exceptional problem-solving ability – simplify complexity and derive first-principles solutions.

-Strong ownership mindset – not just delivering outputs, but ensuring problems are truly sloved.

-Proficient in #Python & #SQL , Excel, with ability to apply #ML , Deep Learning, --#Data_Visualisation techniques and time-series techniques where appropriate.

-Experience working with large-scale, messy, real-world datasets.

If interested kindly share your updated CV to

About the Organization : IndusInd Bank is a universal Bank with a widespread banking footprint with over 2.5 crore customers, over 5,000 distribution points and nearly 2,000 branches across the country. Bank is currently in its fifth planning cycle and is on a mission to attain scale with sustainability at its core and with a specific focus on leapfrogging digital banking capabilities.

Accordingly, the digital team at IndusInd Bank is on a journey to create differentiated transformative customer experience in financial services. The team’s charter to redefine banking experience for clients making is much simpler, intelligent, and personalized. The data science team(digital portfolio, platform growth & engagement) will be part of the digital team at IndusInd Bank and will help uncover insights that help drive the digital strategy and optimize customer experience.

About the role : You would be part of asset analytics and data science team and work on cutting edge problems for the bank. The individual will work closely with the stakeholders across risk, business, partnerships, digital and strategy in creating and refining strategies to augment profitability and growth for the bank. The incumbent will majorly be responsible with coming up data driven and actionable insights and presenting them to relevant stakeholders The candidate will work in close collaboration with digital product, growth, and marketing teams.

Overall, Job Description

• Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.
• Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
• Experienced in working with large and multiple datasets, data warehouses and ability to pull data using relevant programs and coding.
• Well versed with necessary data reprocessing and feature engineering skills.
• Strong background in Statistical Analysis. Constantly look and research on ML algorithms and data sources for better prediction
• Work and coordinate with multiple stakeholders to identify opportunities for leveraging company data to drive business solutions, implement models and monitor outcomes.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques and develop processes and tools to monitor and analyze model performance and data accuracy.
• Experience in establishing/scaling up data science functions
• Proven ability to discover solutions hidden in large datasets and to drive business results with their data-based insights
• Leverage analytics to increase customer lifetime value for clients acquired digitally by pitching right product to the right client at the right time
• Help define pricing models for digital value propositions for various segments of users / clients to ensure profitability of the portfolio and to ensure achievement of business outcomes
• Work with product, growth, and marketing teams across product/campaign lifecycle
• Empower product and marketing teams by creating automated dashboards and reports using PowerBI

Skills/Capabilities

• Model development experience in R, Python, SAS
• Strong and in-depth understanding of statistics
• Strong strategic thought leadership and problem-solving skills with ability to tackle unstructured and complex business problems
• Ability to build & use relationships and influence broadly across the organization
• Results driven with strong project management skills, ability to work on multiple priorities
• Handling Big Data, Segmentation, Analytics, Machine Learning, Artificial Intelligence, Statistics and Hypothesis Testing

We are looking for a highly skilled AI Full Stack Engineer with deep expertise in Python and a passion for building scalable AI-powered solutions. This role offers the opportunity to work on cutting-edge products in the AI and SaaS space , collaborating with a talented and diverse team to solve complex challenges.

Key Responsibilities

• Build and maintain scalable AI-driven applications using Python .
• Design, implement, and optimize LLM-powered solutions with frameworks such as LangChain, LlamaIndex, and OpenAI APIs .
• Work with Large Language Models (LLMs) including GPT-4, LLaMA, and vector databases (e.g., Pinecone, ChromaDB, FAISS ) to deliver intelligent solutions.
• Ensure application performance, scalability, and low latency for production-grade AI systems.
• Collaborate with cross-functional teams to define requirements and deliver impactful AI features .
• Conduct code reviews and contribute to best practices in software design and architecture.
• Integrate applications with databases for efficient storage, retrieval, and embeddings.
• Deploy and manage solutions on AWS cloud infrastructure .
• Apply advanced data processing, chunking, embedding, and similarity search techniques .
• Demonstrate strong problem-solving and analytical skills to tackle real-world AI challenges.

Key Requirements

• Bachelor’s/Master’s in Computer Science, Engineering, or related field .
• 6+ years of professional experience as a Python Developer, with significant exposure to AI/ML applications .
• Strong expertise in Python frameworks (Django, Flask, or similar) with AI/ML integration.
• Proven experience with AWS cloud services for scalable AI deployments.
• Proficiency in vector databases and similarity search techniques (e.g., cosine similarity).
• Hands-on experience with data pipelines , LLM integration , and AI workflows.
• Excellent communication and collaboration skills, with the ability to work in a fast-paced environment.

Why Join Us?

• Work on cutting-edge AI and SaaS products that have a real impact on enterprises.
• Be part of a high-growth company shaping the future of AI-powered software.
• Tackle challenging problems daily and drive innovation in AI applications .
• Collaborate with a world-class team of AI and engineering experts .
• Enjoy a flexible work culture that values creativity, ownership, and growth.
• Competitive compensation and benefits package .

TCS is Hiring Data Scientist For PAN India location

Experience : 10 - 16 years

Mode of interview : Virtual

Location : PAN India

JOB DESCRIPTION:

Must have:

• Excellent knowledge AI/ML including algorithm development
• Machine Learning Modelling, Data Analysis & Pre-processing, Synthetic Data Generation
• Python, Statistical Analysis, Domain Expertise
• Develops and refines analytical methods using traditional machine learning to extract insights and build predictive models. Trains and validates ML models to solve business problems, requiring a strong foundation in statistical analysis and data manipulation. Focuses on established ML techniques and model validation for reliable results.

Role: Data Scientist

Experience: 6-12 years

Location: Chennai

Key Responsibilities

• Design, Develop, and Implement Machine Learning Models
• Create and fine-tune machine learning models using Python.
• Proficiency in Python Flask
• Utilize expertise in NLP to understand user queries and intent related to fashion.
• Build CI CD capability for ML solutions
• Maintainability of ML algorithms and solutions
• Build and maintain robust data pipelines
• Package and deploy the machine learning service using Docker containers (experience required).
• Develop and execute unit tests to ensure code quality and reliability.
• Collaborate with cross-functional teams including data science, engineering, and product teams to bring the fashion assistant service to life.

Required Skills and Expertise:

• Python: Expert level proficiency in Python programming.
• Docker: Advanced experience in deploying services using Docker containers.
• Object-Oriented Programming (OOP) and Unit Testing: Expert in OOP principles and unit test-driven development methodologies.
• Natural Language Processing (NLP): Advanced experience in NLP techniques and applications.
• Generative AI (GenAI): Basic understanding of GenAI applications.