Data science jobs in India are experiencing rapid growth, with high demand for skilled professionals in diverse sectors like IT, finance, and healthcare. 6,135 Data Science jobs in India
Junior Data Analyst Apprentice
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Job Description
Program Overview:
This is an excellent opportunity for recent graduates or individuals looking to transition into the data analytics field. You will be exposed to real-world data challenges and learn to extract meaningful insights. The program is designed to provide a comprehensive understanding of data analysis methodologies and tools.
Key Responsibilities:
- Assist in collecting, cleaning, and preparing data from various sources.
- Perform basic data analysis and identify trends or patterns under supervision.
- Create reports and visualizations to communicate findings.
- Learn and apply statistical techniques to data sets.
- Support senior analysts in data-driven decision-making processes.
- Familiarize yourself with data warehousing concepts and database management.
- Contribute to data quality assurance initiatives.
- Develop proficiency in using data analysis software and tools.
- Participate in team meetings and learning sessions.
- Maintain accurate and organized data records.
Requirements:
- A Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
- Basic understanding of data analysis concepts and principles.
- Familiarity with spreadsheet software like Microsoft Excel or Google Sheets.
- Eagerness to learn and a strong analytical mindset.
- Good problem-solving skills and attention to detail.
- Effective communication skills, both written and verbal.
- Ability to work collaboratively in a team environment.
- Basic knowledge of SQL or any programming language (Python, R) is a plus.
- Genuine interest in data and its potential to drive business value.
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Trainee Intern Data Science
Posted 14 days ago
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Job Description
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.
Company Details
Data Science
Posted 1 day ago
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Job Description
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)
Data Science
Posted today
Job Viewed
Job Description
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)
Data Science
Posted today
Job Viewed
Job Description
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)
Data Science
Posted today
Job Viewed
Job Description
Our client is a French multinational information technology (IT) services and consulting company, headquartered in Paris, France. Founded in 1967, It has been a leader in business transformation for over 50 years, leveraging technology to address a wide range of business needs, from strategy and design to managing operations. The company is committed to unleashing human energy through technology for an inclusive and sustainable future, helping organizations accelerate their transition to a digital and sustainable world. They provide a variety of services, including consulting, technology, professional, and outsourcing services.
Job Details:-
location : Pune Mode Of Work : Hybrid Notice Period : Immediate Joiners Experience : 8-10 yrs Type Of Hire : Contract to Hire
Primary Skills : - JD – Senior Data Scientist - Machine Learning We are seeking a highly skilled Senior Data Scientist to join our team at Fiserv, a global leader in Fintech and payments. As a Senior Data Scientist within Data Commerce Solutions, you will design and develop products and solutions to drive innovation. You will leverage
Artificial Intelligence, Machine Learning , and
Deep Learning
models in addition to other statistical techniques to target specific business objectives and create new business opportunities.
• Design and develop custom
ML, Gen AI, NLP, LLM
Models for batch and stream processing-based
AI ML pipelines •
Utilize LangChain / LlamaIndex
for advanced language processing tasks. Perform fine-tuning of models and work with Parameter-Efficient Fine-Tuning (PEFT),
RAG, and Agentic
Frameworks • Collaborate with the MLOps team to ensure smooth deployment and maintenance of models • Develop and lead presentations and consultations to existing and prospective constituents on analytics opportunities, results, and solutions We are looking for candidates with a strong background in data science, computer science, or related field. You should have 7+ years of hands-on experience leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using
ML, RAG, and NLP .
Additional requirements include proficiency in tokenization and embeddings, as well as experience creating models, improving model training and tuning, and deploying Large Language Model architectures based on LLaMA, BERT, or Transformer-based models. Candidates should also have hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch or similar statistical tools. Experience working with complex object-oriented architecture coding solutions is also desirable. Familiarity with data platforms and applications such as
Azure ML, Databricks ML, AWS Sage maker
and experience contributing to
GitHub
and open-source initiatives is a plus.
Data Science
Posted today
Job Viewed
Job Description
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)
Data Science
Posted today
Job Viewed
Job Description
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)
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Data Science
Posted 5 days ago
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Job Description
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.
Data Science
Posted 19 days ago
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Job Description
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
Data Science
Posted 19 days ago
Job Viewed
Job Description
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