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Data and Research Associate  Take a lead role in acquiring, managing and retaining meaningful relationships that deliver outstanding experience to our customers. In this role, you will balance your focus on business results by offering options and finding solutions to help our customers with issues.  As a Product Control Manager within the Client Experience team, you will be responsible for executing and managing surveys, performing sentiment analysis, delivering actionable insights, and conducting ad hoc analysis and reporting. You will contribute to process enhancement along with promoting optimization and automations. You should have a passion for improving the client experience, data and analysis, and how that information can be used for better decision making. You will also need to be comfortable and capable of working with multiple business partners, clients, and senior executives, communicating with them at their level of analytical/technical understanding. Job Responsibilities:<ul><li>Execute, manage, and analyze surveys to gather insights for business needs.</li><li>Utilize sentiment analysis tools and methods to gauge customer/client sentiment.</li><li>Deliver insights based on survey results and data analysis that can inform business strategies.</li><li>Respond to requests for ad hoc analysis and reporting to support business needs.</li><li>Identify opportunities for process enhancement, recommending improvements and innovations.</li><li>Drive process optimization and automation within the scope of work.</li><li>Leverage data storytelling skills to communicate insights in a lucid, compelling way.</li><li>Map and document processes and journeys for transparency and enhanced understanding among stakeholders.</li><li>Utilize and leverage Adobe Analytics, Excel, and Alteryx to analyze data and derive insights.</li><li>Influence and negotiate effectively with stakeholders to drive acceptance and implementation of recommendations.</li></ul>Required qualifications, capabilities and skills:<ul><li>6+  years of relevant experience (Client experience, survey and insights management, research and analysis, data analytics)</li><li>Expertise in data analysis tools including Adobe Analytics, Advanced Excel , and Alteryx.</li><li>Self-starter, ability to work both independently and as part of a team</li><li>Strong data storytelling and visualization skills using Microsoft Power Point and other visualization tools.</li><li>Demonstrated experience in process enhancement and driving optimization and automation.</li><li>Excellent stakeholder management, influencing, and negotiation skills.</li><li>Excellent verbal and written communication skills with the ability to present information in differing degrees of detail</li><li>Investigative mindset, able to see issues at both high-level and in detail</li><li>Good organizational skills - manages &amp; prioritizes multiple tasks within deadlines</li><li>Master degree  in Business Analytics, Statistics, or any other related field or equivalent work experience.  </li></ul>Preferred qualifications, capabilities and skills:<ul><li>Financial service industry experience desired, but we are open to evaluating candidates with strong matching backgrounds from any industry. </li></ul>

JP Morgan Services India Pvt Ltd

Data Engineer

Data Scientist LeadJob Description: This role, part of the Digital Intelligence team, offers opportunity in the financial services industry by developing impactful Machine Learning solutionsAs a Data Scientist Lead within the team at JPMorgan, you will collaborate with all lines of business and functions to deliver software solutions. You will have opportunity to research, experiment, develop, and productionize high-quality machine learning models, services, and platforms to make a significant business impact. You will also design and implement highly scalable and reliable data processing pipelines and perform analysis and insights to promote and optimize business results.  Job responsibilities<ul><li>Design, deploy and manage prompt-based models on LLMs for various NLP tasks in the financial services domain</li><li>Conduct research on prompt engineering techniques to improve the performance of prompt-based models within the financial services field, exploring and utilizing LLM orchestration and agentic AI libraries.</li><li>Collaborate with cross-functional teams to identify requirements and develop solutions to meet business needs within the organization</li><li>Communicate effectively with both technical and non-technical stakeholders</li><li>Build and maintain data pipelines and data processing workflows for prompt engineering on LLMs utilizing cloud services for scalability and efficiency.</li><li>Develop and maintain tools and framework for prompt-based model training, evaluation and optimization</li><li>Analyze and interpret data to evaluate model performance to identify areas of improvement</li></ul>Required qualifications, capabilities, and skills<ul><li>Formal training or certification on software engineering concepts and 5+ years applied experience</li><li>Experience with prompt design and implementation or chatbot application</li><li>Strong programming skills in Python with experience in PyTorch or TensorFlow</li><li>Experience building data pipelines for both structured and unstructured data processing.</li><li>Experience in developing APIs and integrating NLP or LLM models into software applications</li><li>Hands-on experience with cloud platforms (AWS or Azure) for AI/ML deployment and data processing.</li><li>Excellent problem-solving and the ability to communicate ideas and results to stakeholders and leadership in a clear and concise manner</li><li>Basic knowledge of deployment processes, including experience with GIT and version control systems</li><li>Familiarity with LLM orchestration and agentic AI libraries</li><li>Hands on experience with MLOps tools and practices, ensuring seamless integration of machine learning models into production environment</li></ul>Preferred qualifications, capabilities, and skills<ul><li>Familiarity with model fine-tuning techniques such as DPO and RLHF.</li><li>Knowledge of Java, Spark</li><li>Knowledge of financial products and services including trading, investment and risk management</li></ul>

Data Scientist

Consultant - Data Governance/Syniti MDM/STIBO/RiversandYears of experience: 2 - 7 years of experience 1. Experience in either Syniti, Syndigo/Riversand, STIBO OR Data Governance 
2. Understand the various data model templates and work experience using those templates in projects.
3. Good in technical Issue resolutions owning complex technical configurations.

Infosys

Assistant Consultant

Data Science - Lead•	Proficiency in programming languages such as Python.
•	Experience with AI frameworks and libraries (e.g., TensorFlow, PyTorch, Keras).
•	Strong understanding of machine learning algorithms and statistical methods.
•	Hands-on experience with data preprocessing, fine tuning, feature engineering, and model evaluation.
•	Analytical Skills: Excellent problem-solving skills and the ability to analyze complex data sets. •	Education: Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
•	Experience: Minimum of 3 years of experience in AI, generative AI, and analytics. •	Develop and Implement AI Solutions: Design, develop, and deploy AI models and algorithms to solve business problems and improve operational efficiency.
•	Generative AI Projects: Work on generative AI projects, including natural language processing (NLP), computer vision, and other related areas.
•	Data Analysis and Insights: Analyze large datasets to extract actionable insights and support data-driven decision-making.
•	Collaborate with Teams: Work closely with product owners, data scientists, and engineers to integrate AI solutions into platform and services.
•	Research and Innovation: Stay updated with the latest advancements in AI and analytics, and apply innovative techniques to enhance our capabilities.
•	Performance Monitoring: Monitor and evaluate the performance of AI models and continuously improve them based on feedback and new data.
•	Documentation and Reporting: Document processes, methodologies, and results, and present findings to stakeholders.

Generative AI, AI/ML, Python, DatabricksGenerative AI, AI/ML, Python, Databricks •	Understand the requirements from the business and translate it into an appropriate technical requirements.
•	Creating a detailed business analysis, outlining problems, opportunities and solutions for a business.
•	Perform activities related to data wrangling, model building and model deployment.
•	Stay current with the latest research and technology and communicate your knowledge throughout the enterprise.
•	Lead initiatives to improve the team morale, camaraderie, and collaboration

Automation Developer

Senior Analyst - Knowledge ServicesCollaborate with client counterparts to define long-term vision, goals, and strategies 
•	Drive large scale transformation programs to help organizations reimagine their business into an AI-powered enterprise
•	Help clients devise data-driven business &amp; operating models

Senior Analyst

Consultant - Business Consulting (Data Science/Engg)5 – 10 years of Python data engineering experience
• Experience in Developing Data Pipelines that process large volumes of data using Python, PySpark, Pandas etc., on AZURE.
• Experience in developing ETL, OLAP based and Analytical Applications.
• Experience in ingesting batch and streaming data from various data sources.
• Strong Experience in writing complex SQL using any RDBMS (Oracle, PostgreSQL, SQL Server etc.)
• Ability to quickly learn and develop expertise in existing highly complex applications and architectures.
• Experience in Azure Data Factory (ADF), Azure Data Brick, Azure Synapse, Azure SQL, Azure DWH, Azure Data Lake Storage / Analytics, Azure Database Migration Services
• Experience of DevOps and CD/CD tools.
• Familiarity with Rest APIs
• Experience with CI/CD pipelines, branching strategies, &amp; GIT for code management
• Comfortable working in Agile projects 
• Bachelor's degree in computer science, information technology, or a similar field. • Clear and precise communication skills 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 Engineer 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 team 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

Business Intelligence Engineer

AIML AnalystWe are looking for smart, self-driven, high energy people with top notch communication skills, intellectual curiosity and passion for technology in Machine Learning Space. Our analysts have a blend of in-depth domain expertise in one or more areas (Financial Services), strong business acumen and excellent soft skills &amp; Exposure to Technology.

Application Analyst

Senior Technologist - AI/GenAI-Q3-2025# Deep Programming Skills: Python, Java, SpringBoot, SQLbr
# AI/ML Frameworks: PyTorch, TensorFlow, Scikit-learn (hands-on coding)
# GenAI Agentic Application design, Implementation
# Production ML model deployment and monitoring
# Real-time inference systems and distributed computing
# API design and microservices architecture
# Data pipeline architecture and stream processing
# MLOPs/LLMOps exposure # 2+ years GenAI/LLM hands-on experience (critical differentiator)
# Production AI system deployment experience
# Understanding of AI ethics and responsible AI practices
# Data visualization and analytics capabilities # AI/GenAI Application Development and deployment
# Model Implementation, fine-tuning, and optimization
# Technical Innovation and emerging technology evaluation
# Production AI System Deployment and maintenance
# Elaborate Technical Documentation and knowledge sharing
# Cross-functional Collaboration with data science and product teams 
# Research &amp; Development of cutting-edge AI capabilities
# Problem Solving for complex production AI issues

Programmer Analyst

Senior Data ScientistTechnical skills
•	Programming: Python, R, SQL
•	ML algorithms: 
•	Statistical ML algorithms
•	Deep Neural Network architectures
•	Model ensembling
•	Generative AI models
•	ML for Responsible AI 
•	AI domains - NLP, speech, computer vision, structured data
•	Learning patterns – supervised, unsupervised, reinforcement learning
•	Tools for data analysis, auto ML, model deployment &amp; scaling, model fine tuning
•	Knowledge of different Model fine tuning approaches for Large models
•	Knowledge of datasets, pre-built models available in open community and 3rd party providers
•	Knowledge of software development &amp; architectures
•	Knowledge of hyperscalers &amp; their AI capabilities – Azure, AWS, GCP
•	Knowledge of Model Quantization and Pruning
•	Past experience playing a Data Scientist role Technical skills
•	Programming: Python, R, SQL
•	ML algorithms: 
•	Statistical ML algorithms
•	Deep Neural Network architectures
•	Model ensembling
•	Generative AI models
•	ML for Responsible AI 
•	AI domains - NLP, speech, computer vision, structured data
•	Learning patterns – supervised, unsupervised, reinforcement learning
•	Tools for data analysis, auto ML, model deployment &amp; scaling, model fine tuning
•	Knowledge of different Model fine tuning approaches for Large models
•	Knowledge of datasets, pre-built models available in open community and 3rd party providers
•	Knowledge of software development &amp; architectures
•	Knowledge of hyperscalers &amp; their AI capabilities – Azure, AWS, GCP
•	Knowledge of Model Quantization and Pruning
•	Past experience playing a Data Scientist role

Quantexa EngineersScala and Spark hands-on.
· Quantexa certification and experience of Quantexa project delivery.
· Quantexa ETL
· Quantexa Scoring Strong Design and Development exposure
· Strong communication skills, both written and verbal.
· Highly motivated self-driven with a positive attitude.
· Basic understanding of MS Azure.
· CI/CD pipelines using Jenkins.
· Kubernetes.

Mechanical CAD Designer

Consultant - Data Governance/Syniti MDM/STIBO/RiversandYears of experience: - 7+ years of experience 1. Experience in either Syniti, Syndigo/Riversand, STIBO OR Data Governance 
2. Understand the various data model templates and work experience using those templates in projects.
3. Good in technical Issue resolutions owning complex technical configurations.
4. Handle complex workflows and complex business rules.
5. Business Opportunity is open for all Infosys Off-shore locations.

Data Analyst Intern

Celonis Data Engineer/ConsultantCelonis
•	You have 2+ years of relevant work experience in process and data modelling.
•	You have worked with data from ERP systems like SAP.
•	You have a proven track record in using SQL and Python.
•	You are a team player and can communicate data structural concepts and ideas to both technical and non-technical stakeholders.
•	You have strong analytical skills and have an affinity with business concepts.
•	Celonis Data Engineer/Implementation Professional certification will be an advantage.
•	Celonis project experience will be a big plus. •	You will be part of an innovative team that drives our Celonis initiatives and to dive into business processes to determine root causes, quantify potential, and establish and drive improvement initiatives that make businesses more efficient.
•	You will set up and maintain data models that will be the basis of the analyses and work together closely with the business analysts to generate the customized set of analytics that serve as a single source of truth for business performance measurement as well as data-driven decision making.
•	You are responsible for setting data dictionary and maintaining data governance on the created structure.
•	You identify the best possible strategy for data collection, ensure the data quality and work together with the stakeholders responsible for the data input to ensure we can correctly measure and track all necessary information.
•	Collaborate with source system experts to ensure the source systems are set up correctly to gather all relevant information and support the most effective data structures.
•	Create and maintain comprehensive documentation for data models, processes, and systems to facilitate knowledge sharing.

Applied Scientist 4Invent, implement and deploy state-of-the-art machine learning and/or specific domain industry algorithms and systems. Build prototypes and explore conceptually new solutions. Work collaboratively with science, engineering, and product teams  to identify customer needs in order to create and implement solutions, promote innovation and drive model implementations.  Applies data science capabilities and research findings to create and implement solutions to scale. Responsible for developing new intelligence around core products and services through applied research on behalf of our customers.  Develops models, prototypes, and experiments that pave the way for innovative products and services.  Build cloud services that work out of the box for enterprises, e.g. decision support, anomaly detection, forecasting and recommendations), natural language processing (NLP),  Natural Language Understanding (NLU),Time Series, Automatic Speech Recognition (ASR),  Machine Learning (ML), and Computer Vision (CV). Design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. Conversant on ethical problems in consideration of sciences.Leading contributor providing guidance and mentorship to define, design and deliver product quality improvements from ideation stage to shipping to the customer. Write  high quality code to power experiments and build models. Contributes to writing production model code. Work closely with product management and engineering to deliver products which solves the needs of our customers by building relevant, innovative results which strategically differentiates Oracle in the market. Set up environment needed to run experiments for all projects. Set up distributed environments. Engage with customers and help solve complex problems with the customer/partner.  Directly impact our customers via innovation in products and services that make use of ML/AI technology. Clearly articulate technical work to audiences of all levels and across multiple functional areas. Keep track of the progress and ensure the team is following the best practices. Works on training data collection, feature engineering, model training, offline and online experimentation. Drives independent research and development. Advance the state-of-the-art machine learning and algorithms for real-world large-scale applications. Ensure solutions are designed with fairness and explainability in mind. May perform other duties as assigned.Career Level - IC4As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all.Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing <a href="mailto:accommodation-request_mb@oracle.com" rel="nofollow" target="_blank">accommodation-request_mb@oracle.com</a> or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

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