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Data Science
Posted today
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Job Description
- 5+ years of experience in developing ML infrastructure and MLOps in the Cloud using AWS Sagemaker, GCP AI-Platform or equivalent cloud services.
- Experience in Object Oriented Programming (Python, R or equivalent), SQL, Unix scripting or related programming languages and exposure to some of Python's ML ecosystem (numpy, panda, sklearn, tensorflow, etc.).
- Experience with building data pipelines in getting the data required to build and evaluate ML models, using tools like Apache Spark or other distributed data processing frameworks.
- Data movement technologies (ETL/ELT), Messaging/Streaming Technologies (AWS SQS, Kinesis/Kafka), Relational and NoSQL databases (DynamoDB, EKS, Graph database), API and in-memory technologies.
- Experience with CI/CD tools (e.g., Jenkins or equivalent), version control (Git), orchestration/DAGs tools (AWS Step Functions, Airflow, Luigi, Kubeflow, MLFlow or equivalent).
- Functional knowledge in Forecasting, Anomaly Detection, A/B Testing & other ML area implementations.
- Solid experience in Agile methodologies (Kanban and SCRUM).
- Capable of planning and executing on both short-term and long-term goals individually and with the team.
**Nice to have**
- 5+ years of proven experience in implementing Big data solutions in data analytics space.
- Design and Architecture experience ( High Level and Low Level Design )
- Certification on Data Engineering, Security etc
- Understands Monitoring, Auditing and Alerting Integration
- Experience of Leading team of engineers and have mentored them
This position is for Pune location with Tavisca, a cxLoyalty Technology platform (Division of JP Morgan Chase & Co.)
JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.
Data Science
Posted today
Job Viewed
Job Description
- 5+ years of experience in developing ML infrastructure and MLOps in the Cloud using AWS Sagemaker, GCP AI-Platform or equivalent cloud services.
- Experience in Object Oriented Programming (Python, R or equivalent), SQL, Unix scripting or related programming languages and exposure to some of Python's ML ecosystem (numpy, panda, sklearn, tensorflow, etc.).
- Experience with building data pipelines in getting the data required to build and evaluate ML models, using tools like Apache Spark or other distributed data processing frameworks.
- Data movement technologies (ETL/ELT), Messaging/Streaming Technologies (AWS SQS, Kinesis/Kafka), Relational and NoSQL databases (DynamoDB, EKS, Graph database), API and in-memory technologies.
- Experience with CI/CD tools (e.g., Jenkins or equivalent), version control (Git), orchestration/DAGs tools (AWS Step Functions, Airflow, Luigi, Kubeflow, MLFlow or equivalent).
- Functional knowledge in Forecasting, Anomaly Detection, A/B Testing & other ML area implementations.
- Solid experience in Agile methodologies (Kanban and SCRUM).
- Capable of planning and executing on both short-term and long-term goals individually and with the team.
**Nice to have**
- 5+ years of proven experience in implementing Big data solutions in data analytics space.
- Design and Architecture experience ( High Level and Low Level Design )
- Certification on Data Engineering, Security etc
- Understands Monitoring, Auditing and Alerting Integration
- Experience of Leading team of engineers and have mentored them
This position is for Pune location with Tavisca, a cxLoyalty Technology platform (Division of JP Morgan Chase & Co.)
JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.
Data Science Engineer
Posted 4 days ago
Job Viewed
Job Description
1. Collaborate with cross-functional teams to identify opportunities to apply data-driven insights and develop innovative solutions to complex business problems.
2. Develop, implement, and maintain SQL data pipelines and ETL processes to collect, clean, and curate large and diverse datasets from various sources.
3. Design, build, and deploy predictive and prescriptive machine learning models, generative AI model prompt engineering to help the organization make better data-driven decisions.
4. Perform exploratory data analysis, feature engineering, and data visualization to gain insights and identify potential areas for improvement.
5. Optimize machine learning models and algorithms to ensure scalability, accuracy, and performance while minimizing computational costs.
6. Continuously monitor and evaluate the performance of deployed models, updating or refining them as needed.
7. Stay abreast of the latest developments in data science, machine learning, and big data technologies to drive innovation and maintain a competitive advantage.
8. Develop and implement best practices in data management, data modeling, code, and data quality assurance.
9. Communicate effectively with team members, stakeholders, and senior management to translate data insights into actionable strategies and recommendations.
10. Actively participate and contribute to innovation activities like ideathons, hackathons.
**Who You Are:**
+ You take initiatives and doesn't wait for instructions and proactively seek opportunities to contribute. You adapt quickly to new situations and apply knowledge optimally. Clearly convey ideas and actively listen to others to complete assigned task as planned
**For This Role, You Will Need:**
+ Bachelor's degree in computer science, Data Science, Statistics, or a related field or a master's degree or higher is preferred.
+ 3-5 years of experience with popular data science libraries and frameworks such as scikit-learn, SQL, SciPy, TensorFlow, PyTorch, NumPy and Pandas.
+ Minimum 2 years of experience in data science projects leveraging machine learning, deep learning, transformer based large language models or any of other cutting edge AI technologies.
+ Strong programming skills in Python is a must.
+ Solid understanding of calculus, linear algebra, probability, machine learning algorithms, Transformer architecture-based model and data modeling techniques.
+ Proficiency in data visualization tools, such as Matplotlib or Seaborn or Bokeh or Dash.
+ Strong problem-solving and analytical skills with an ability to synthesize complex data sets into actionable insights.
+ Excellent written and verbal communication skills, with the ability to present technical concepts to non-technical audiences.
**Preferred Qualifications That Set You Apart:**
+ Possession of relevant certification/s in data science from reputed universities (like any of the four IIT's in India.) specializing in AI
**Our Culture & Commitment to You**
At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives-because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results.
We recognize the importance of employee wellbeing. We prioritize providing competitive benefits plans, a variety of medical insurance plans, Employee Assistance Program, employee resource groups, recognition, and much more. Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave
**WHY EMERSON**
**Our Commitment to Our People**
At Emerson, we are motivated by a spirit of collaboration that helps our diverse, multicultural teams across the world drive innovation that makes the world healthier, safer, smarter, and more sustainable. And we want you to join us in our bold aspiration.
We have built an engaged community of inquisitive, dedicated people who thrive knowing they are welcomed, trusted, celebrated, and empowered to solve the world's most complex problems - for our customers, our communities, and the planet. You'll contribute to this vital work while further developing your skills through our award-winning employee development programs. We are a proud corporate citizen in every city where we operate and are committed to our people, our communities, and the world at large. We take this responsibility seriously and strive to make a positive impact through every endeavor.
At Emerson, you'll see firsthand that our people are at the center of everything we do. So, let's go. Let's think differently. Learn, collaborate, and grow. Seek opportunity. Push boundaries. Be empowered to make things better. Speed up to break through. Let's go, together.
**Accessibility Assistance or Accommodation**
If you have a disability and are having difficulty accessing or using this website to apply for a position, please contact: .
**ABOUT EMERSON**
Emerson is a global leader in automation technology and software. Through our deep domain expertise and legacy of flawless execution, Emerson helps customers in critical industries like life sciences, energy, power and renewables, chemical and advanced factory automation operate more sustainably while improving productivity, energy security and reliability.
With global operations and a comprehensive portfolio of software and technology, we are helping companies implement digital transformation to measurably improve their operations, conserve valuable resources and enhance their safety.
We offer equitable opportunities, celebrate diversity, and embrace challenges with confidence that, together, we can make an impact across a broad spectrum of countries and industries. Whether you're an established professional looking for a career change, an undergraduate student exploring possibilities, or a recent graduate with an advanced degree, you'll find your chance to make a difference with Emerson. Join our team - let's go!
**No calls or agencies please.**
**Requisition ID** :
Emerson is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, marital status, political affiliation, sexual orientation, gender identity, genetic information, disability or protected veteran status. We are committed to providing a workplace free of any discrimination or harassment.
Data Science Engineer
Posted 4 days ago
Job Viewed
Job Description
+ Collaborate with cross-functional teams to identify opportunities to apply data-driven insights and develop innovative solutions to complex business problems.
+ Develop, implement, and maintain SQL data pipelines and ETL processes to collect, clean, and curate large and diverse datasets from various sources.
+ Design, build, and deploy predictive and prescriptive machine learning models, generative AI model prompt engineering to help the organization make better data-driven decisions.
+ Perform exploratory data analysis, feature engineering, and data visualization to gain insights and identify potential areas for improvement.
+ Optimize machine learning models and algorithms to ensure scalability, accuracy, and performance while minimizing computational costs.
+ Continuously monitor and evaluate the performance of deployed models, updating or refining them as needed.
+ Stay abreast of the latest developments in data science, machine learning, and big data technologies to drive innovation and maintain a competitive advantage.
+ Develop and implement best practices in data management, data modeling, code, and data quality assurance.
+ Communicate effectively with team members, stakeholders, and senior management to translate data insights into actionable strategies and recommendations.
**Who You are:**
You take initiatives and doesn't wait for instructions and proactively seek opportunities to contribute. You adapt quickly to new situations and apply knowledge optimally. Clearly convey ideas and actively listen to others to complete assigned task as planned
**For This Role, You Will Need:**
+ Bachelor's degree in computer science, Data Science, Statistics, or a related field or a master's degree or higher is preferred.
+ 3-5 years of experience with popular data science libraries and frameworks such as scikit-learn, SQL, SciPy, TensorFlow, PyTorch, NumPy and Pandas.
+ Minimum 2 years of experience in data science projects leveraging machine learning, deep learning, transformer based large language models or any of other cutting edge AI technologies.
+ Strong programming skills in Python is a must.
+ Solid understanding of calculus, linear algebra, probability, machine learning algorithms, Transformer architecture-based model and data modeling techniques.
+ Proficiency in data visualization tools, such as Matplotlib or Seaborn or Bokeh or Dash.
+ Strong problem-solving and analytical skills with an ability to synthesize complex data sets into actionable insights.
+ Excellent written and verbal communication skills, with the ability to present technical concepts to non-technical audiences.
**Preferred Qualifications that Set You Apart:**
+ Possession of relevant certification/s in data science from reputed universities specializing in AI.
+ Prior experience in engineering would be nice to have.
**Our Culture & Commitment to You**
At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives-because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results.
We recognize the importance of employee wellbeing. We prioritize providing competitive benefits plans, a variety of medical insurance plans, Employee Assistance Program, employee resource groups, recognition, and much more. Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave.
**Requisition ID** :
Emerson is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, marital status, political affiliation, sexual orientation, gender identity, genetic information, disability or protected veteran status. We are committed to providing a workplace free of any discrimination or harassment.
Data Science Specialist
Posted 1 day ago
Job Viewed
Job Description
What does a successful AI/ML Engineer do at Fiserv?
We are seeking a highly skilled Generative AI Specialist with 6-8 years of extensive experience in AI and machine learning, focusing on generative models and prompt engineering. The successful candidate will work collaboratively within our team to design, implement, and optimize generative AI solutions that enhance our product offerings and provide value to our clients.
What you will do:
- Develop, implement, and optimize generative models (e.g., GANs, VAEs) for various applications.
- Conduct research and stay updated with the latest advancements in generative AI and deep learning.
- Collaborate with cross-functional teams to identify opportunities for leveraging generative AI in our products.
- Design and optimize prompts used in AI models to improve output quality and relevance.
- Analyze model performance and user data to refine prompt strategies.
- Analyze and preprocess large datasets to train and validate models effectively.
- Create and maintain documentation for algorithms, methodologies, and processes.
- Provide training and support to internal teams on generative AI technologies.
What you will need to have:
- Bachelor's or Master’s degree in Computer Science, Data Science, AI, or a related field.
- 6-8 years of experience in AI/ML, with a strong focus on generative models and prompt engineering.
- Proficiency in programming languages such as Python or R.
- Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and libraries.
- Strong understanding of machine learning algorithms and statistical analysis.
- Excellent problem-solving skills and ability to work in a fast-paced environment.
- Strong communication skills to articulate complex ideas to non-technical stakeholders.
What would be great to have:
- Experience in the financial services industry is a plus.
- Familiarity with natural language processing (NLP) or computer vision (CV) applications.
- Contributions to open source projects or published research in generative AI.
Data Science Consultant
Posted 1 day ago
Job Viewed
Job Description
Infosys Consulting, the management consulting business of Infosys, is looking to hire Data Scientists. You should have between 2 to 10 years of Data Science experience.
Successful candidates will be part of a specialized customer-facing AI Labs team in our rapidly expanding Automation & Artificial Intelligence Consulting Practice. They will work closely with our AI Consultants and SMEs to define and deliver best-in-class solutions.
You will be entrepreneurial, inspired by execution excellence, possess strong design skills creating client deliverables and bid documents, highly analytical, emotionally intelligent, a team player, and only satisfied when your work has a meaningful impact. You will help our clients identify and qualify opportunities to leverage automation to unlock business value and maintain a competitive edge.
Infosys Consulting offers exceptional opportunity for personal growth, and, alongside client engagements, you will be recognized for your personal contribution to leading and developing new opportunities, developing thought leadership and service offerings in the domains of artificial intelligence and automation.
Responsibilities:
- You will need to be well spoken and have an easy time establishing productive long lasting working relationships with a large variety of stakeholders
- Take the lead on data pipeline design with strong analytical skills and a keen eye for detail to really understand and tackle the challenges businesses are facing
- You will be confronted with a large variety of Data Science tools and other new technologies as well with a wide variety of IT, compliance, security related issues.
- Design and develop world-class technology solutions to solve business problems across multiple client engagements.
- Collaborate with other teams to understand business requirements, client infrastructure, platforms and overall strategy to ensure seamless transitions.
- Work closely with AI and A global team and with our Fortune 500 clients to build world-class solutions and to define AI strategy.
- You will possess strong logical structuring and problem-solving skills with expert level understanding of database and have an inherent desire to turn data into actions.
- Strong verbal, written and presentation skills
- As a Data Scientist, you will need to have strong programming skills and strong understanding of data science and Machine Learning tools.
- You will be working on high impact initiatives with other Data Scientists across the globe
Requirements:
- Bachelor's or master’s degree/PhD in Statistics, computer science, information technology, or a similar field.
- Solid understanding in Statistics, e.g., hypothesis formulation, hypothesis testing, descriptive analysis and data exploration.
- Expert level experience in Python or R.
- Strong experience in machine learning algorithms like
o Linear/Logistic regression,
o Random Forest,
o SVM,
o Neural Networks,
o Deep Learning – CNN, RNN, LSTM
- Exposure to NLP and Computer vision use cases.
- In-depth knowledge of neural networks and architectures
- Familiarity with the latest DL architectures.
- Toolkits/Frameworks/Libraries - Pytorch, TF/Keras, Scikit-Learn, BERT
- Experience in Machine Learning Lifecycle – Data Processing, Algorithm Benchmarking, Validation
- Exposure to build an AI model from scratch
- Exposure to Graph based databases is a plus.
- Experience with relational databases.
Data Science Specialist
Posted today
Job Viewed
Job Description
What does a successful AI/ML Engineer do at Fiserv?
We are seeking a highly skilled Generative AI Specialist with 6-8 years of extensive experience in AI and machine learning, focusing on generative models and prompt engineering. The successful candidate will work collaboratively within our team to design, implement, and optimize generative AI solutions that enhance our product offerings and provide value to our clients.
What you will do:
- Develop, implement, and optimize generative models (e.g., GANs, VAEs) for various applications.
- Conduct research and stay updated with the latest advancements in generative AI and deep learning.
- Collaborate with cross-functional teams to identify opportunities for leveraging generative AI in our products.
- Design and optimize prompts used in AI models to improve output quality and relevance.
- Analyze model performance and user data to refine prompt strategies.
- Analyze and preprocess large datasets to train and validate models effectively.
- Create and maintain documentation for algorithms, methodologies, and processes.
- Provide training and support to internal teams on generative AI technologies.
What you will need to have:
- Bachelor's or Master’s degree in Computer Science, Data Science, AI, or a related field.
- 6-8 years of experience in AI/ML, with a strong focus on generative models and prompt engineering.
- Proficiency in programming languages such as Python or R.
- Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and libraries.
- Strong understanding of machine learning algorithms and statistical analysis.
- Excellent problem-solving skills and ability to work in a fast-paced environment.
- Strong communication skills to articulate complex ideas to non-technical stakeholders.
What would be great to have:
- Experience in the financial services industry is a plus.
- Familiarity with natural language processing (NLP) or computer vision (CV) applications.
- Contributions to open source projects or published research in generative AI.
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Senior - Data Science
Posted today
Job Viewed
Job Description
KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada.
KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.
Data Science
Equal employment opportunity information
KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you.
/ / Post Graduate
Data Science Intern
Posted today
Job Viewed
Job Description
Job Title: Data Science Intern
Company: Optimspace.in
Location: Remote
Duration: 3 months
Opportunity: Full-time role based on performance + Internship Certificate
About Optimspace.in
Optimspace.in provides students and graduates with hands-on experience in Data Science and AI, helping them build skills and portfolios through real-world projects.
Responsibilities
- Collect, preprocess, and analyze large datasets
- Develop predictive models and machine learning algorithms
- Perform exploratory data analysis (EDA) to extract insights
- Create data visualizations and dashboards for effective communication
Collaborate with cross-functional teams to deliver data-driven solutions
Requirements
- Enrolled in or a graduate of Data Science, Computer Science, Statistics, or a related field
- Proficiency in Python or R for data analysis and modeling
- Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred)
- Familiarity with data visualization tools like Tableau, Power BI, or Matplotlib
- Strong analytical and problem-solving skills
Excellent communication and teamwork abilities
Stipend & Benefits
- Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid)
- Hands-on experience in data science projects
- Certificate of Internship & Letter of Recommendation
- Opportunity to build a strong portfolio of data science models and applications
- Potential for full-time employment based on performance
How to Apply
Submit your application with the subject line "Data Science Intern Application."
Note:- Optimspace.in is an equal opportunity employer, welcoming diverse applicants.
Data Science Manager
Posted today
Job Viewed
Job Description
ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage and passion to drive life-changing impact to ZS.
Our most valuable asset is our people .
At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and
make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about.
About Advanced Data Science (ADS) : ZS’s Advanced Data Science group is focused on creating practical impact for clients across various industries such as Healthcare and Bio-Tech, Hi-Tech & Telecommunication, Financial Services and Travel through advanced analytics and emerging data sources. Emerging datasets include both unstructured datasets (for example, text, voice, image, etc.) and semi-structured datasets (for example, patientlevel records). Advanced analytical techniques span a range of innovative machine learning, artificial intelligence, advanced statistics and optimization approaches.
Being part of the ADS group at ZS will be an opportunity for you to work on cutting-edge solutions, utilizing new age data sources to shape innovations across multiple areas, for our clients and the broader ZS community.
A key enabler of our services is leveraging data in delivering client solutions. The data available about customers is getting richer and the problems that our customers are trying to answer continue to evolve. In our endeavor to stay ahead in providing solutions to these evolving complex problems, ZS has set up an Advanced Data Science which has three major focus areas:
Data Science Managers (DSMs) design, develop and execute analytic techniques on large, complex, structured and unstructured data sets (including big data) to help clients make better fact-based decisions. DSMs will develop new offerings/solutions, drive client impact by delivering client solutions and shape the ZS point of view in this space. You will be responsible for applying analytical techniques to model complex business problems, uncovering insights, and identifying opportunities using statistical, algorithmic, mining, and visualization techniques.
What You’ll Do:
What You’ll Bring: