Data science jobs in India are experiencing rapid growth, with high demand for skilled professionals in diverse sectors like IT, finance, and healthcare. 2,881 Data Science jobs in India
Advanced Engineer ML [T500-18579]
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Job Description
ANSR is hiring for one of its client.
About Albertsons:
As a leading food and drug retailer in the United States, Albertsons Companies, Inc. (ACI) operates over 2,200 stores across 34 states and the District of Columbia. Our well-known global banners, including Albertsons, Safeway, Vons, Jewel-Osco and others.
Our success is built upon a united team approach, driven by the desire to understand and enhance the customer experience. This customer-centric focus not only inspires innovation but has also led to remarkable achievements across our digital platforms and omnichannel strategies. By constantly pushing the boundaries of retail, we have transformed shopping into an experience that is not just easy and efficient, but also fun and engaging.
Over the past year, we have taken bold, strategic steps to migrate and modernize our enterprise data hub on Google Cloud, revolutionizing our data capabilities, thus becoming the first fully cloud-based grocery tech company.
About Tech Hub in India:
Albertsons Companies India (ACI India) is part of Albertsons Companies Inc. global workforce. As Albertsons' first significant strategic investment in India, it serves as a collaborative hub, supporting Albertsons in driving innovation and efficiency across Technology, Digital, and other key business functions. The associates at the India GCC will play a pivotal role in enhancing the company's digital transformation, customer engagement, and operational excellence, contributing significantly to Albertsons Companies' mission to earn Customers for Life.
Position Title: Advanced Engineer ML
Job Description:
Roles & responsibilities:
- Design, build, evaluate, ship, and refine products by hands-on ML development
- Work closely with Enterprise Architects and Technical Owners to create applications aligned with the business strategy
- Work closely with Data Science team to build and optimize machine learning pipelines
- Collaborate with a cross functional agile team spanning research, data science, product management, and engineering to build new product features using machine learning to solve problem in supply chain, pricing, fulfilment & personalization
- Continuously learn and adapt to an ever-changing technology landscape to bring varied technology options to the table
- Participate in design sessions, brainstorming various options, discussing pros and cons, and helping drive consensuses
Experience Required:
- 3-6 years of experience in Data Engineering
- 2-3 years of experience in Machine Learning Engineering
- Programming knowledge and/or experience in either Python, Scala
- Programming knowledge and/or experience of Distributed Computing frameworks such as Apache Spark, Apache Flink, Hadoop, DASK or Ray
- Experience of SQL / NoSQL database technologies (Oracle, SQL Server, Cassandra, CosmoDB, MongoDB).
- Experience of Machine Learning libraries such as scipy / scikit-learn / pytorch / tensorflow / nltk
- Knowledge of Micro Services (Django, FastAPI).
- Knowledge of software development methodologies (Agile).
- Ability to troubleshoot and debug programs.
Competencies:
- Compassionate and kind, showing courtesy, dignity, and respect. They show sincere interest and empathy for all others.
- Show integrity in what is done and how it is done - without sacrificing personal / business ethics.
- Team-oriented, positively contributing to team morale and willing to help.
- Learning-Focused, finding ways to improvise in their field and use positive constructive feedback to grow personally and professionally
Mandatory Skills Required:
- Python, Scala (or Java)
- Cosmos DB, Mongo DB / Non-SQL and SQL database management
- Apache Spark / Flink / Hadoop / DASK / Ray
- Azure / GCP, Kubernetes, CI/CD pipeline, GitHub / Version control
- RESTful APIs
- Machine Learning libraries such as scikit-learn, Scipy, Pytorch, Tensorflow
Additional Skills Required:
- Supervised & Unsupervised Machine Learning algorithms
- Data streaming platform (eg. Kafka)
- Data warehouse or Delta Lake
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Data Science
Posted today
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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
Data Science
Posted today
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Job Description
• .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 1 day ago
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Job Description
Data Science
Posted today
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Job Description
Data Science, Machine Learning, SQL, Python.
**Roles & Responsibilities**
- Develop new algorithms and enhance existing ones to solve domain-specific challenges.
- Build, train, and deploy machine learning models end-to-end. - Collaborate with product and engineering teams to integrate models into production systems.
- Develop POCs and drive innovation by exploring emerging technologies and methodologies.
- Work with cross-functional teams (Data Engineering, Advisory, Product) to identify opportunities and implement process improvements,
**Mandatory Skills & Experience**
- Machine Learning - Hands-on experience building at least one ML model independently (end-to-end).
- Programming - Strong skills in Python and SQL (PySpark experience is a plus).
- Strong problem-solving, analytical thinking, and ability to translate business needs into data-driven solutions. - Good communication and collaboration skill
Data Science
Posted 13 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 27 days ago
Job Viewed
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 27 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
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Data Science Data Designer
Posted today
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Job Description
- ** Project Role Description**:Utilizes data science methodology to inform the design research process. Employs statistical and quantitative data analysis to enhance solution development.
- ** Management Level**:8
- ** Work Experience**:8-10 years
- ** Work location**:Bengaluru
- ** Must Have Skills**:
- ** Good To Have Skills**:
- ** Job Requirements:
**- **
Technical Experience **:Python Dev, 8 years experience Min 6 years experience A: Using APIs in python Flask, Falcon or Django, Kafka ML and python libraries as scikit-learn, numpy and pandas B:Machine learning, Deep learning, Image Processing Familiarity with Apache SOLR, MongoDB C:Familiarity with Celery, Rabbit MQ for background task queues Data pre-processing techniques GIT, Docker, Jenkins, Swagger, Cloud AWS/Azure
- **
Professional Attributes **:Good Communication skills, Good in Analytics and collaboration
- **
Educational Qualification **:std Accenture requirements
15 years of full time education
Analyst-Data Science
Posted 1 day ago
Job Viewed
Job Description
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.
**Overview of the Business:**
Credit and Fraud Risk (CFR) team helps drive profitable business growth by reducing the risk of fraud and maintaining industry lowest credit loss rates. It uses an array of tools and ever-evolving technology to detect and combat fraud, minimize the disruption of good spending, and provide a world-class customer experience. The team leads efforts that leverage data and digital advancements to improve risk management as well as enable commerce and drive innovation.
A single decision can have many outcomes. And when that decision affects millions of customers, it needs to be the right one. That's where our Credit & Fraud Risk (CFR) Analytics & Data Science CoE team comes in. The team leads efforts that leverage data and digital advancements to improve risk management as well as enable commerce and drive innovation, every day. Right from targeting the right customer for our products to underwriting them to managing their experience with Amex when they get onboarded, every decision is advised by groundbreaking analytics & data science. We help the company grow its business profitably while delivering the world's best customer experience, all powered by data. We are the backbone of all financial services operations at American Express and impact every aspect of the company.
As a part of the team, you'll have the opportunity to work in one of the best companies for data scientists in the country. You will solve real world business problems while getting exposure to the industry's top leaders in analytics, data science and machine learning. If you're passionate about solving complex problems and crafting solutions that impact millions, you should consider a career in CFR.
Development, deployment and validation of predictive model(s) and supporting use of models in economic logic to enable profitable decisions across risk, fraud and marketing.
**Responsibilities:**
+ Understand the core business of AXP and the levers behind various decisions
+ Analyze large amounts of data to derive business insights and create innovative solutions
+ Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant
+ Innovate with a focus on developing newer and better approaches using big data & machine learning solution
+ Clear articulation and structuring of business findings across prospect and customer domain to the leadership and key partners
+ Maintain external lens and be aware of developments in the field of Finance/Payments/Analytics etc.
**Minimum Qualifications**
* MBA, Master's Degree In Economics, Statistics, Computer Science Or related fields
* 0-18 months of experience in analytics, big data workstreams
* Ability to drive project deliverables to achieve business results
* Ability to work effectively in a team environment
* Strong communication and interpersonal skills
* Innovative problem solver with ability to learn quickly and work independently with complex, unstructured initiatives
* Ability to Integrate with Cross-Functional Business Partners Worldwide
* SAS, R, Python, Hive, Spark, SQL
* Unsupervised and supervised techniques -: active learning,
Analyst-Data Science
Posted 1 day ago
Job Viewed
Job Description
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.
**Overview of the Business:**
Credit and Fraud Risk (CFR) team helps drive profitable business growth by reducing the risk of fraud and maintaining industry lowest credit loss rates. It uses an array of tools and ever-evolving technology to detect and combat fraud, minimize the disruption of good spending, and provide a world-class customer experience. The team leads efforts that leverage data and digital advancements to improve risk management as well as enable commerce and drive innovation.
A single decision can have many outcomes. And when that decision affects millions of customers, it needs to be the right one. That's where our Credit & Fraud Risk (CFR) Analytics & Data Science CoE team comes in. The team leads efforts that leverage data and digital advancements to improve risk management as well as enable commerce and drive innovation, every day. Right from targeting the right customer for our products to underwriting them to managing their experience with Amex when they get onboarded, every decision is advised by groundbreaking analytics & data science. We help the company grow its business profitably while delivering the world's best customer experience, all powered by data. We are the backbone of all financial services operations at American Express and impact every aspect of the company.
As a part of the team, you'll have the opportunity to work in one of the best companies for data scientists in the country. You will solve real world business problems while getting exposure to the industry's top leaders in analytics, data science and machine learning. If you're passionate about solving complex problems and crafting solutions that impact millions, you should consider a career in CFR.
Development, deployment and validation of predictive model(s) and supporting use of models in economic logic to enable profitable decisions across risk, fraud and marketing.
**Responsibilities:**
+ Understand the core business of AXP and the levers behind various decisions
+ Analyze large amounts of data to derive business insights and create innovative solutions
+ Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant
+ Innovate with a focus on developing newer and better approaches using big data & machine learning solution
+ Clear articulation and structuring of business findings across prospect and customer domain to the leadership and key partners
+ Maintain external lens and be aware of developments in the field of Finance/Payments/Analytics etc.
**Minimum Qualifications**
* MBA, Master's Degree In Economics, Statistics, Computer Science Or related fields
* 0-18 months of experience in analytics, big data workstreams
* Ability to drive project deliverables to achieve business results
* Ability to work effectively in a team environment
* Strong communication and interpersonal skills
* Innovative problem solver with ability to learn quickly and work independently with complex, unstructured initiatives
* Ability to Integrate with Cross-Functional Business Partners Worldwide
* SAS, R, Python, Hive, Spark, SQL
* Unsupervised and supervised techniques -: active learning,