1110 Graphs Jobs - Page 23

Job Title : Data Scientist- Lead Location : Bangalore, Pune, Mumbai, Kolkata Experience : 5 to 14 Years About Prismforce Prismforce is a Vertical SaaS company revolutionizing the Talent Supply Chain for global Technology, R&D/Engineering, and IT Services companies. Our AI-powered product suite enhances business performance by enabling operational flexibility, accelerating decision-making, and boosting profitability. Our mission is to become the leading industry cloud/SaaS platform for tech services and talent organizations worldwide. Responsibilities Identify relevant data sources a combination of data sources to make it useful. Build the automation of the collection processes. Pre-processing of structured and unstructured data. Handle large amounts of information to create the input to analytical Models. Build predictive models and machine-learning algorithms Innovate Machine-Learning , Deep-Learning algorithms. Build Network graphs , NLP , Forecasting Models Building data pipelines for end-to-end solutions. Propose solutions and strategies to business challenges. Collaborate with product development teams and communicate with the Senior Leadership teams. Participate in Problem solving sessions Requirements Bachelor's degree in a highly quantitative field (e.g., Computer Science, Engineering, Physics, Math, Operations Research, etc.) or equivalent experience. Extensive machine learning and algorithmic background with deep expertise in Gen AI and Natural Language Processing (NLP) techniques, along with a strong understanding of supervised and unsupervised learning methods, reinforcement learning, deep learning, Bayesian inference, and network graph analysis. Advanced knowledge of NLP methods, including text generation, sentiment analysis, named entity recognition, and language modelling. Strong math skills, including proficiency in statistics, linear algebra, and probability, with the ability to apply these concepts in Gen AI and NLP solutions. Proven problem-solving aptitude with the ability to apply NLP and Gen AI tools to real-world business challenges. Excellent communication skills with the ability to translate complex technical information, especially related to Gen AI and NLP, into clear insights for non-technical stakeholders. Fluency in at least one data science/analytics programming language (e.g., Python, R, Julia), with expertise in NLP and Gen AI libraries like TensorFlow, PyTorch, Hugging Face, or OpenAI tools. Start-up experience is a plus, with ideally 5-8 years of advanced analytics experience in startups or marquee companies, particularly in roles leveraging Gen AI and NLP for product or business innovations. Required Skills Machine Learning, Deep Learning, Algorithms Computer Science, Engineering, Operations Research Math Skills, Communication Skills, SAAS Product, IT Services Artificial Intelligence, ERP Product Management, Automation, Analytical Models Predictive Models, NLP What Makes Us Unique First-Mover Advantage : We are the only Vertical SaaS product company addressing Talent Supply Chain challenges in the IT services industry. Innovative Product Suite : Our solutions offer forward-thinking features that outshine traditional ERP systems. Strategic Expertise : Guided by an advisory board of ex-CXOs from top global IT firms, providing unmatched industry insights. Experienced Leadership : Our founding team brings deep expertise from leading firms like McKinsey, Deloitte, Amazon, Infosys, TCS, and Uber. Diverse and Growing Team : We have grown to 160+ employees across India, with hubs in Mumbai, Pune, Bangalore, and Kolkata. Strong Financial Backing : Series A-funded by Sequoia, with global IT companies using our product as a core solution. Why Join Prismforce Competitive Compensation : We offer an attractive salary and benefits package that rewards your contributions. Innovative Projects : Work on pioneering projects with cutting-edge technologies transforming the Talent Supply Chain. Collaborative Environment : Thrive in a dynamic, inclusive culture that values teamwork and innovation. Growth Opportunities : Continuous learning and development are core to our philosophy, helping you advance your career. Flexible Work : Enjoy flexible work arrangements that balance your work-life needs. By joining Prismforce, you'll become part of a rapidly expanding, innovative company that's reshaping the future of tech services and talent management. Perks & Benefits Work with the best in the industry: Work with a high-pedigree leadership team that will challenge you, build on your strengths and invest in your personal development Insurance Coverage-Group Mediclaim cover for self, spouse, kids and parents & Group Term Life Insurance Policy for self. Flexible Policies Retiral Benefits Hybrid Work Model Self-driven career progression tool Attractive ESOPs (ref:hirist.tech) Show more Show less

Responsibilities Identify relevant data sources a combination of data sources to make it useful. Build the automation of the collection processes. Pre-processing of structured and unstructured data. Handle large amounts of information to create the input to analytical Models. Build predictive models and machine-learning algorithms Innovate Machine-Learning , Deep-Learning algorithms. Build Network graphs , NLP , Forecasting Models Building data pipelines for end-to-end solutions. Propose solutions and strategies to business challenges. Collaborate with product development teams and communicate with the Senior Leadership teams. Participate in Problem solving sessions Requirements Bachelor's degree in a highly quantitative field (e.g., Computer Science, Engineering, Physics, Math, Operations Research, etc.) or equivalent experience. Extensive machine learning and algorithmic background with deep expertise in Gen AI and Natural Language Processing (NLP) techniques, along with a strong understanding of supervised and unsupervised learning methods, reinforcement learning, deep learning, Bayesian inference, and network graph analysis. Advanced knowledge of NLP methods, including text generation, sentiment analysis, named entity recognition, and language modelling. Strong math skills, including proficiency in statistics, linear algebra, and probability, with the ability to apply these concepts in Gen AI and NLP solutions. Proven problem-solving aptitude with the ability to apply NLP and Gen AI tools to real-world business challenges. Excellent communication skills with the ability to translate complex technical information, especially related to Gen AI and NLP, into clear insights for non-technical stakeholders. Fluency in at least one data science/analytics programming language (e.g., Python, R, Julia), with expertise in NLP and Gen AI libraries like TensorFlow, PyTorch, Hugging Face, or OpenAI tools. Start-up experience is a plus, with ideally 5-8 years of advanced analytics experience in startups or marquee companies, particularly in roles leveraging Gen AI and NLP for product or business innovations. Required Skills Machine Learning, Deep Learning, Algorithms Computer Science, Engineering, Operations Research Math Skills, Communication Skills, SAAS Product, IT Services Artificial Intelligence, ERP Product Management, Automation, Analytical Models Predictive Models, NLP (ref:hirist.tech) Show more Show less

About The Job Job Description : We are seeking a highly skilled and customer-focused GraphDB / Neo4J Solutions Engineer to join our team. This role is responsible for delivering high-quality solution implementation to our customers to implement GraphDB based product and collaborating with cross-functional teams to ensure customer success. Solution lead is expected to provide in-depth solutions on Data based Software Product to a global client base and partners. This role requires deep technical expertise, strong problem-solving skills, and the ability to communicate complex technical information effectively. Solution lead must have experience working with databases, specifically graph databases, and possess a strong background in Linux, networking, and scripting (bash/python). Roles And Responsibilities Collaborate with core engineering, Customers and solution engineering teams for functional and technical discovery sessions. Prepare product and live software demonstrations Create and maintain public documentation, internal knowledge base articles, and FAQs. Ability to design efficient graph schemas and develop prototypes that address customer requirements (e., Fraud Detection, Recommendation Engines, Knowledge Graphs). Knowledge of indexing strategies, partitioning, and query optimization in GraphDB. Candidate to work during EMEA time zone (2PM to 10 PM shift) Requirements Education and Experience : Education : B.Tech in computer engineering, Information Technology, or related field. Experience : 5+ years of experience in a Solution Lead role on Data based Software Product such as GraphDB, Neo4J Must Have Skills SQL Expertise : 4+ years of experience in SQL for database querying, performance tuning, and debugging. Graph Databases and GraphDB platforms : 4+ years of hands on experience with Neo4j, or similar graph database systems. Scripting & Automation : 4+ years with strong skills in C, C++, Python for automation, task management, and issue resolution. Virtualization and Cloud knowledge : 4+ years with Azure, GCP or AWS. Management skills : 3+ years Experience with data requirements gathering and data modeling, white boarding and developing/validating proposed solution architectures. The ability to communicate complex information and concepts to prospective users in a clear and effective way. Monitoring & Performance Tools : Experience with Grafana, Datadog, Prometheus, or similar tools for system and performance monitoring. Networking & Load Balancing : Proficient in TCP/IP, load balancing strategies, and troubleshooting network-related issues (ref:hirist.tech) Show more Show less

The Data Engineer is accountable for developing high quality data products to support the Bank’s regulatory requirements and data driven decision making. A Data Engineer will serve as an example to other team members, work closely with customers, and remove or escalate roadblocks. By applying their knowledge of data architecture standards, data warehousing, data structures, and business intelligence they will contribute to business outcomes on an agile team. Responsibilities Developing and supporting scalable, extensible, and highly available data solutions Deliver on critical business priorities while ensuring alignment with the wider architectural vision Identify and help address potential risks in the data supply chain Follow and contribute to technical standards Design and develop analytical data models Required Qualifications & Work Experience First Class Degree in Engineering/Technology (4-year graduate course) 9 to 11 years’ experience implementing data-intensive solutions using agile methodologies Experience of relational databases and using SQL for data querying, transformation and manipulation Experience of modelling data for analytical consumers Ability to automate and streamline the build, test and deployment of data pipelines Experience in cloud native technologies and patterns A passion for learning new technologies, and a desire for personal growth, through self-study, formal classes, or on-the-job training Excellent communication and problem-solving skills An inclination to mentor; an ability to lead and deliver medium sized components independently Technical Skills (Must Have) ETL: Hands on experience of building data pipelines. Proficiency in two or more data integration platforms such as Ab Initio, Apache Spark, Talend and Informatica Big Data: Experience of ‘big data’ platforms such as Hadoop, Hive or Snowflake for data storage and processing Data Warehousing & Database Management Expertise around Data : Warehousing concepts, Relational (Oracle, MSSQL, MySQL) and NoSQL (MongoDB, DynamoDB) database design Data Modeling & Design: Good exposure to data modeling techniques; design, optimization and maintenance of data models and data structures Languages: Proficient in one or more programming languages commonly used in data engineering such as Python, Java or Scala DevOps: Exposure to concepts and enablers - CI/CD platforms, version control, automated quality control management Data Governance: A strong grasp of principles and practice including data quality, security, privacy and compliance Technical Skills (Valuable) Ab Initio: Experience developing Co>Op graphs; ability to tune for performance. Demonstrable knowledge across full suite of Ab Initio toolsets e.g., GDE, Express>IT, Data Profiler and Conduct>IT, Control>Center, Continuous>Flows Cloud: Good exposure to public cloud data platforms such as S3, Snowflake, Redshift, Databricks, BigQuery, etc. Demonstratable understanding of underlying architectures and trade-offs Data Quality & Controls: Exposure to data validation, cleansing, enrichment and data controls Containerization: Fair understanding of containerization platforms like Docker, Kubernetes. File Formats: Exposure in working on Event/File/Table Formats such as Avro, Parquet, Protobuf, Iceberg, Delta Others: Experience of using a Job scheduler e.g., Autosys. Exposure to Business Intelligence tools e.g., Tableau, Power BI Certification on any one or more of the above topics would be an advantage. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Digital Software Engineering ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster. Show more Show less

The Technology Supply Chain (SC) Sourcing Senior Analyst is an intermediate level position responsible for participating in procurement activities such as defining the need for goods and services, negotiating price contracts and authorizing payment for goods and services in coordination with the Corporate Services team. The overall objective of this role is to acquire goods and services requested by company personnel in support of the company's business. Responsibilities: Create global data and information analytics strategy and plan for procurement services as well as analyze key market data, statistics, and reports to identify market trends and best practices Assist in analyzing spend by region, business, and category and provide input into development and execution of financial, business information, and analytics strategy Analyze supplier spend analytics, operational/performance metrics, cost financial analytics, save tracking/reporting, benchmarking, category market intelligence, forecasting, and commodity segmentation efforts Coordinate operational, process, reporting/structural change required as well as coordinate metrics and process reviews Provide assistance to sourcing teams with saves, spend, and opportunity analytics work with the category and subcategory managers to identify spend and develop spend baselines Work with suppliers and internal business units to consolidate information, perform ad hoc spend requests, program compliance monitoring reports and commodity reports, and RFx analysis Work with varied units through expense managers, reengineering teams/vendor managers, expense policy compliance and reporting, senior management briefing books, etc. Analyze RFx replies and develop reports and charts/graphs illustrating saves or increases in spend Coordinate the preparation and analysis of bid packages and education events Has the ability to operate with a limited level of direct supervision. Can exercise independence of judgement and autonomy. Acts as SME to senior stakeholders and /or other team members. Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: 8-10 years of relevant sourcing and procurement experience. Technology Sourcing preferred but not required. Experience with Procurement and Accounts Payable (AP) systems Experience with Contracts and eProcurement tools (e.g. Oracle, Procure-to-Pay, eAuction, eRFX) Experience with reporting and analytics Experience with Risk and Controls preferred Proficient computer skills with a focus on Microsoft Office applications Ability to work unsupervised and adjust priorities quickly as circumstances dictate Demonstrated organization and time management skills Education: Bachelor’s degree/University degree or equivalent experience ------------------------------------------------------ Job Family Group: Corporate Services ------------------------------------------------------ Job Family: Supply Chain ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster. Show more Show less

Location(s): Quay Building 8th Floor, Bagmane Tech Park, Bengaluru, IN Line Of Business: ROC(ROC) Job Category Credit Analysis & Research Experience Level: Experienced Hire At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills And Competencies Strong understanding of fundamental finance and financial statements Basic understanding of capital markets Curious problem solvers who enjoy learning new things, working with others, and continuously growing their interpersonal and technical skills. Candidates from diverse backgrounds and academic disciplines with a strong focus on Finance/Technology/Support & Management Fluency in English with good written and verbal communication skills; good interpersonal skills Create visual representations of data findings through charts, graphs, and dashboards to make the data understandable. Familiarity with Alteryx, SQL and other data visualization tools such as Tableau, PowerBI etc. Preferred proficiency in Python for data analysis and scripting. Relevant experience of up to 2 years in credit/financial data analysis and interpretation is an added advantage Education Masters in Finance, Business, Accounting or similar field. Any knowledge in SQL, Python, PowerBI, Alteryx, etc or any experience related to data science, data analytics will be an added advantage. Responsibilities Perform analysis to support ratings, research, analytical outreach. Examples of work include: Perform various data intake tasks, including scrubbing, validating the data for further use in research and ratings Apply MIS' standards to existing data in order to produce valuable inputs into the rating and research process, including Moody's adjusted data, key indicators, ratios, charts and graphs in line with MIS's methodologies Responsible for reviewing and understanding financial reports, official statements and other documents related to issuers' performance Work directly with ratings and support analysts to understand data capture requirements, adjustments and other information needed by the rating team for ratings and research Take initiative to participate in projects or process improvements Complete simple deliverables such as newsletters, database maintenance, more complex or high profile admin or other ad-hoc support with oversight Be able to perform data intake exercises such as resolution of data point or mapping issues About The Team Our Ratings & Operations Control (ROC) team is responsible for 1) analytic data capture and enrichment, inputs and outputs to support ratings & research, 2) ratings transaction setup and release and rating desk services, 3) regulatory processes and operational controls, 4) product management for regulatory website, 5) center of excellence for process improvement and 6) project management support. By joining our team, you will be part of exciting work in supporting ratings accuracy and timely market impact by delivering high-quality, consistent work product, while driving process excellence. Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary. For more information on the Securities Trading Program, please refer to the STP Quick Reference guide on ComplianceNet Please note: STP categories are assigned by the hiring teams and are subject to change over the course of an employee’s tenure with Moody’s. Show more Show less

Job Description Our division prevents, detects and mitigates compliance, regulatory and reputational risk across the firm and helps to strengthen the firm’s culture of compliance. Compliance accomplishes these through the firm’s enterprise-wide compliance risk management program. As an independent control function and part of the firm’s second line of defense, Compliance assesses the firm’s compliance, regulatory and reputational risk; monitors for compliance with new or amended laws, rules and regulations; designs and implements controls, policies, procedures and training; conducts independent testing; investigates, surveils and monitors for compliance risks and breaches; and leads the firm’s responses to regulatory examinations, audits and inquiries. You'll be part of a team with members from a wide range of academic and professional backgrounds, such as law, accounting, sales, and trading. We look for those who possess sound judgment, curiosity, and are able to adapt to a changing regulatory landscape. Job Summary & Responsilbities Global Compliance Classics India are seeking an Analyst to join our Chief of Staff team to help drive initiatives across both India and EMEA. The ideal candidate will have strong attention to detail and experience in identifying ways to make processes more efficient and effective, as well as working successfully across diverse groups of cross-functional stakeholders. The candidate should demonstrate comfort with complex workflows and data analytics, as well as excellent communication, presentation, and interpersonal skills. a Successful Candiate Will Work closely with Compliance business units on various processes, data collection, communication strategies and leadership initiatives to help implement recommendations that enhance efficiencies and key processes. Assist in the development and maintenance of the firm’s global operational resilience framework for Global Compliance, to ensure a front-to-back approach to operational readiness for potential disruption events including data collection and identifying efficiencies to uplift key BCP processes. Assist in regional Townhall and Leadership meeting planning, Divisional communication distribution and maintenance of Divisional distribution lists and Org charts. Assist in office space planning and management. Assist with ad-hoc Divisional management requests as needed. CANDIATE CHARACTERISTCS Ability to solve problems and adapt to a dynamic and changing environment. Ability to communicate effectively and proactively with global stakeholders and senior management. Ability to manage multiple time-sensitive projects. Self-starter, able to work both independently and as part of a team. Excellent written and verbal communication skills. Ability to work with different time zones including the Americas, EMEA and Asia. Experience in delivery of high-quality work, with attention to detail and strong analytical skills. High level of discretion/confidentiality when handling sensitive and confidential information. Ability to exercise strong judgment and decision-making in a collaborative driven environment. Preferred Qualifications Bachelor's degree Experience 1 to 2 year’s experience in the banking or financial services industry. Experience with Excel and PowerPoint with strong understanding of data manipulation, graphs and charts. About Goldman Sachs At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html © The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law. Show more Show less

Location(s): Quay Building 8th Floor, Bagmane Tech Park, Bengaluru, IN Line Of Business: ROC(ROC) Job Category Credit Analysis & Research Experience Level: Experienced Hire At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills And Competencies Basic knowledge of financial statements and basic understanding of how data fits into methodologies Ability to read, understand and interpret financial metrics reported by rated entities Strong organizational skills Attention to detail Ability to work effectively in a collaborative team environment Intermediate Microsoft Excel skills Good written and verbal communication skills Good interpersonal skills, interact with team members, direct managers and limited other stakeholders Develop working knowledge of more than one simple project/deliverable with guidance Relevant experience of up to 2 years in credit/financial data analysis and interpretation; experience in structured finance will be an added advantage Education Bachelors/Masters in Finance, Business, Accounting or similar field Responsibilities Perform analysis to support ratings, research, and analytical outreach Apply Moody’s Ratings' standards to existing data to produce valuable inputs into the rating and research process, including Moody's adjusted data, key indicators, ratios, charts, and graphs in line with Moody’s Ratings’ methodologies Perform various data intake tasks, including scrubbing and validating data for further use in research and ratings Review and understand financial reports, official statements, and other documents related to issuers' performance Work directly with ratings and support analysts to understand data capture requirements, adjustments, and other information needed by the rating team for ratings and research Perform simple calculations and apply judgment for other calculations of data Gather data from various sources (sometimes unstructured), update relevant databases, escalate or resolve issues Complete simple deliverables such as newsletters, database maintenance, more complex or high-profile admin or other ad-hoc support with oversight About The Team Our Data & Analytics team is responsible for performing a range of data, analytical and research services that contribute to the overall credit analysis function carried out by the structured finance rating groups. By joining our team, you will be part of exciting work in financial data analysis. Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary. Show more Show less

The Role The Data Engineer is accountable for developing high quality data products to support the Bank’s regulatory requirements and data driven decision making. A Mantas Scenario Developer will serve as an example to other team members, work closely with customers, and remove or escalate roadblocks. By applying their knowledge of data architecture standards, data warehousing, data structures, and business intelligence they will contribute to business outcomes on an agile team. Responsibilities Developing and supporting scalable, extensible, and highly available data solutions Deliver on critical business priorities while ensuring alignment with the wider architectural vision Identify and help address potential risks in the data supply chain Follow and contribute to technical standards Design and develop analytical data models Required Qualifications & Work Experience First Class Degree in Engineering/Technology (4-year graduate course) 5 to 8 years’ experience implementing data-intensive solutions using agile methodologies Experience of relational databases and using SQL for data querying, transformation and manipulation Experience of modelling data for analytical consumers Hands on Mantas ( Oracle FCCM ) expert throughout the full development life cycle, including: requirements analysis, functional design, technical design, programming, testing, documentation, implementation, and on-going technical support Translate business needs (BRD) into effective technical solutions and documents (FRD/TSD) Ability to automate and streamline the build, test and deployment of data pipelines Experience in cloud native technologies and patterns A passion for learning new technologies, and a desire for personal growth, through self-study, formal classes, or on-the-job training Excellent communication and problem-solving skills T echnical Skills (Must Have) ETL: Hands on experience of building data pipelines. Proficiency in two or more data integration platforms such as Ab Initio, Apache Spark, Talend and Informatica Mantas: Expert in Oracle Mantas/FCCM, Scenario Manager, Scenario Development, thorough knowledge and hands on experience in Mantas FSDM, DIS, Batch Scenario Manager Big Data: Experience of ‘big data’ platforms such as Hadoop, Hive or Snowflake for data storage and processing Data Warehousing & Database Management: Understanding of Data Warehousing concepts, Relational (Oracle, MSSQL, MySQL) and NoSQL (MongoDB, DynamoDB) database design Data Modeling & Design: Good exposure to data modeling techniques; design, optimization and maintenance of data models and data structures Languages: Proficient in one or more programming languages commonly used in data engineering such as Python, Java or Scala DevOps: Exposure to concepts and enablers - CI/CD platforms, version control, automated quality control management Technical Skills (Valuable) Ab Initio: Experience developing Co>Op graphs; ability to tune for performance. Demonstrable knowledge across full suite of Ab Initio toolsets e.g., GDE, Express>IT, Data Profiler and Conduct>IT, Control>Center, Continuous>Flows Cloud: Good exposure to public cloud data platforms such as S3, Snowflake, Redshift, Databricks, BigQuery, etc. Demonstratable understanding of underlying architectures and trade-offs Data Quality & Controls: Exposure to data validation, cleansing, enrichment and data controls Containerization: Fair understanding of containerization platforms like Docker, Kubernetes File Formats: Exposure in working on Event/File/Table Formats such as Avro, Parquet, Protobuf, Iceberg, Delta Others: Basics of Job scheduler like Autosys. Basics of Entitlement management Certification on any of the above topics would be an advantage. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Digital Software Engineering ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster. Show more Show less

The Role The Data Engineer is accountable for developing high quality data products to support the Bank’s regulatory requirements and data driven decision making. A Mantas Scenario Developer will serve as an example to other team members, work closely with customers, and remove or escalate roadblocks. By applying their knowledge of data architecture standards, data warehousing, data structures, and business intelligence they will contribute to business outcomes on an agile team. Responsibilities Developing and supporting scalable, extensible, and highly available data solutions Deliver on critical business priorities while ensuring alignment with the wider architectural vision Identify and help address potential risks in the data supply chain Follow and contribute to technical standards Design and develop analytical data models Required Qualifications & Work Experience First Class Degree in Engineering/Technology (4-year graduate course) 5 to 8 years’ experience implementing data-intensive solutions using agile methodologies Experience of relational databases and using SQL for data querying, transformation and manipulation Experience of modelling data for analytical consumers Hands on Mantas ( Oracle FCCM ) expert throughout the full development life cycle, including: requirements analysis, functional design, technical design, programming, testing, documentation, implementation, and on-going technical support Translate business needs (BRD) into effective technical solutions and documents (FRD/TSD) Ability to automate and streamline the build, test and deployment of data pipelines Experience in cloud native technologies and patterns A passion for learning new technologies, and a desire for personal growth, through self-study, formal classes, or on-the-job training Excellent communication and problem-solving skills T echnical Skills (Must Have) ETL: Hands on experience of building data pipelines. Proficiency in two or more data integration platforms such as Ab Initio, Apache Spark, Talend and Informatica Mantas: Expert in Oracle Mantas/FCCM, Scenario Manager, Scenario Development, thorough knowledge and hands on experience in Mantas FSDM, DIS, Batch Scenario Manager Big Data: Experience of ‘big data’ platforms such as Hadoop, Hive or Snowflake for data storage and processing Data Warehousing & Database Management: Understanding of Data Warehousing concepts, Relational (Oracle, MSSQL, MySQL) and NoSQL (MongoDB, DynamoDB) database design Data Modeling & Design: Good exposure to data modeling techniques; design, optimization and maintenance of data models and data structures Languages: Proficient in one or more programming languages commonly used in data engineering such as Python, Java or Scala DevOps: Exposure to concepts and enablers - CI/CD platforms, version control, automated quality control management Technical Skills (Valuable) Ab Initio: Experience developing Co>Op graphs; ability to tune for performance. Demonstrable knowledge across full suite of Ab Initio toolsets e.g., GDE, Express>IT, Data Profiler and Conduct>IT, Control>Center, Continuous>Flows Cloud: Good exposure to public cloud data platforms such as S3, Snowflake, Redshift, Databricks, BigQuery, etc. Demonstratable understanding of underlying architectures and trade-offs Data Quality & Controls: Exposure to data validation, cleansing, enrichment and data controls Containerization: Fair understanding of containerization platforms like Docker, Kubernetes File Formats: Exposure in working on Event/File/Table Formats such as Avro, Parquet, Protobuf, Iceberg, Delta Others: Basics of Job scheduler like Autosys. Basics of Entitlement management Certification on any of the above topics would be an advantage. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Digital Software Engineering ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster. Show more Show less

Location(s): Quay Building 8th Floor, Bagmane Tech Park, Bengaluru, IN Line Of Business: ROC(ROC) Job Category: Credit Analysis & Research Experience Level: Experienced Hire At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills And Competencies Strong understanding of fundamental finance and financial statements Basic understanding of capital markets Curious problem solvers who enjoy learning new things, working with others, and continuously growing their interpersonal and technical skills. Candidates from diverse backgrounds and academic disciplines with a strong focus on Finance/Technology/Support & Management Fluency in English with good written and verbal communication skills; good interpersonal skills Create visual representations of data findings through charts, graphs, and dashboards to make the data understandable. Familiarity with Alteryx, SQL and other data visualization tools such as Tableau, PowerBI etc. Preferred proficiency in Python for data analysis and scripting. Relevant experience of up to 2 years in credit/financial data analysis and interpretation is an added advantage Education Masters in Finance, Business, Accounting or similar field. Any knowledge in SQL, Python, PowerBI, Alteryx, etc or any experience related to data science, data analytics will be an added advantage. Responsibilities Perform analysis to support ratings, research, analytical outreach. Examples of work include: Perform various data intake tasks, including scrubbing, validating the data for further use in research and ratings Apply MIS' standards to existing data in order to produce valuable inputs into the rating and research process, including Moody's adjusted data, key indicators, ratios, charts and graphs in line with MIS's methodologies Responsible for reviewing and understanding financial reports, official statements and other documents related to issuers' performance Work directly with ratings and support analysts to understand data capture requirements, adjustments and other information needed by the rating team for ratings and research Take initiative to participate in projects or process improvements Complete simple deliverables such as newsletters, database maintenance, more complex or high profile admin or other ad-hoc support with oversight Be able to perform data intake exercises such as resolution of data point or mapping issues About The Team Our Ratings & Operations Control (ROC) team is responsible for 1) analytic data capture and enrichment, inputs and outputs to support ratings & research, 2) ratings transaction setup and release and rating desk services, 3) regulatory processes and operational controls, 4) product management for regulatory website, 5) center of excellence for process improvement and 6) project management support. By joining our team, you will be part of exciting work in supporting ratings accuracy and timely market impact by delivering high-quality, consistent work product, while driving process excellence. Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary. For more information on the Securities Trading Program, please refer to the STP Quick Reference guide on ComplianceNet Please note: STP categories are assigned by the hiring teams and are subject to change over the course of an employee’s tenure with Moody’s. Show more Show less

Position: BI Developer and Data Analyst: Skills: Power BI, Databricks, SQL, Python, ETL, RedShift or Athena, AWS Services (beyond QuickSight) Experience: 4+ Responsibilities Design, develop, and maintain interactive and insightful dashboards using QuickSight. Conduct advanced data analysis to identify trends, patterns, and anomalies, providing meaningful interpretations and recommendations. Collaborate with stakeholders across different departments to understand their data needs and translate them into effective analytical solutions. Write and optimize SQL queries to extract, transform, and load data from various data sources. Utilize Python for data manipulation, automation of tasks, and statistical analysis. Ensure data accuracy, integrity, and consistency across all dashboards and analyses. Document dashboard specifications, data sources, and analytical methodologies. Stay up-to-date with the latest trends and best practices in data visualization and analytics. Qualifications Bachelor's degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, or a related discipline. Required Skills Data visualization best practices. Proven experience in developing advanced dashboards and performing data analysis. Ability to create clear, intuitive, and impactful visualizations (charts, graphs, tables, KPIs) that effectively communicate insights. Extensive experience with AWS QuickSight (or similar BI tool): Hands-on experience in building, publishing, and maintaining interactive dashboards and reports. QuickSight data sources: Experience connecting QuickSight to various data sources, especially those common in AWS environments (e.g., S3, Redshift, Athena, RDS, Glue). QuickSight dataset creation and management: Proficiency in creating, transforming, and optimizing datasets within QuickSight, including calculated fields, parameters, and filters. Performance optimization: Knowledge of how to optimize QuickSight dashboards and data for speed and scalability. Preferred Skills Experience with other data visualization tools. Familiarity with machine learning concepts. Show more Show less

Step into the world of AI innovation with the Experts Community of Soul AI (By Deccan AI). We are looking for India’s top 1% NLP Engineers for a unique job opportunity to work with the industry leaders. Who can be a part of the community? We are looking for top-tier Natural Language Processing Engineers with experience in text analytics, LLMs, and speech processing. If you have experience in this field then this is your chance to collaborate with industry leaders. What’s in it for you? Pay above market standards The role is going to be contract based with project timelines from 2 - 12 months , or freelancing. Be a part of Elite Community of professionals who can solve complex AI challenges Work location could be: Remote (Highly likely) Onsite on client location Deccan AI’s Office: Hyderabad or Bangalore Responsibilities: Develop and optimize NLP models (NER, summarization, sentiment analysis) using transformer architectures (BERT, GPT, T5, LLaMA). Build scalable NLP pipelines for real-time and batch processing of large text data and optimize models for performance and deploy on cloud platforms (AWS, GCP, Azure). Implement CI/CD pipelines for automated training, deployment, and monitoring & integrate NLP models with search engines, recommendation systems, and RAG techniques. Ensure ethical AI practices and mentor junior engineers. Required Skills: Expert Python skills with NLP libraries (Hugging Face, SpaCy, NLTK). Experience with transformer-based models (BERT, GPT, T5) and deploying at scale (Flask, Kubernetes, cloud services). Strong knowledge of model optimization, data pipelines (Spark, Dask), and vector databases. Familiar with MLOps, CI/CD (MLflow, DVC), cloud platforms, and data privacy regulations. Nice to Have: Experience with multimodal AI, conversational AI (Rasa, OpenAI API), graph-based NLP, knowledge graphs, and A/B testing for model improvement. Contributions to open-source NLP projects or a strong publication record. What are the next steps? 1. Register on our Soul AI website. 2. Our team will review your profile. 3. Clear all the screening rounds: Clear the assessments once you are shortlisted. As soon as you qualify all the screening rounds (assessments, interviews) you will be added to our Expert Community! 4. Profile matching and Project Allocation: Be patient while we align your skills and preferences with the available project. Skip the Noise. Focus on Opportunities Built for You! Show more Show less

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What You’ll Be Doing... You will support the Tier 2 engineering application suite for our Consumer and Business customers. When these applications perform well, they are an important part of the overall customer experience. You will work closely with stakeholders to streamline operations and monitor the health and performance of the application suite. The solutions you implement will help meet our customer’s needs and make it easy for them to do business with us. Developing and implementing AIOps enabled processes for maximizing operational efficiency, profitability, and key application throughput measures. Establishing AI driven operations process by enabling solutions of smart workflows, ML based Issue triage, and self healing solutions. Driving the engineering team to AIML Models for NLP, Anomaly detection, issue similarity detection, building training analyzers, and auto fix solutions with Knowledge Graph driven Business rules, etc. Developing and enhancing AIML solutions to automate the day-to-day support activities and helping the operations team improve their productivity with intelligent solutions that will auto triage the problems and recommend solutions. Establishing AI enabled operations and driving the engineering to build intelligent monitoring and self healing solutions Developing and implementing best practices and procedures to enhance business growth. Suggesting and implementing new proposals and technology to enhance business productivity including automation, process enhancements, business enhancements, and policy changes. Collaborating with functional units of an organization to develop and integrate new or existing services. Managing Application engineering services to ensure they meet client/customer expectations and requirements. Developing reporting metrics for the application and trending of the tickets. Establishing MLOps and deployment processes for deploying the AIML models. Building and maintaining positive trust relationships with key stakeholders across IT and Frontline teams. Ensuring IT Field operations comply with all local and federal labor laws and legislations. Working on work shifts to ensure efficient operations. Performing code analysis, static code tools usage, and any additional tools to produce good quality code. Implementing nonfunctional requirements - performance, scalability, reliability, extensibility, etc. Providing recommendations on servers, load balancing, high availability, disaster recovery, and storage architectures, and End to End analysis and Design responsibilities Analyzing architecture, relationships between systems, and system flows. Guiding others to assess system usage trends and identify potential performance and intersystem flaws. Evaluating solutions alignment and end user experience. Where you'll be working... In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager What We’re Looking For... You’ll need to have: Bachelor's degree or six or more years of work experience. Six or more years of relevant work experience in L1 and L2 support models. Three or more years of experience in AIOps, and MLOps areas. Experience in leading AIML teams establishing AIOps process from foundations Experience in driving solution development teams using technologies like RAG, Airflow, OpenSearch, and Knowledge Graphs. Experience in Java and Python technology stack. Experience in building LLM/SLM based solutions and chatbots. Hands on experience with core Python AIML libraries and building AIML models for NLP and predictive AI Experience in handling the CICD pipelines for AIML Models. Two or more years of experience in DevSecOps with cloud exposure. Experience with AWS & ELK technology stack. Experience with Kubernetes, GraphQL, and Spring reactive services. Even better if you have one or more of the following: A Master's degree. Ability to multi-task and succeed in a fast paced, dynamic work environment. The ability to quickly debug application problems and provide short and long-term solutions. Experience in dealing with Java based systems at an enterprise level. Ability to interact and communicate successfully with business partners and technology teams. A telecom domain operational tools working knowledge. Ability to understand the given problem statement and provide solutions with future focused technology selection. Ability to design and implement solutions with ease of use. Experience in working with cross-functional teams and projects. The ability to guide and develop intuitive user interfaces for Operation tools. Knowledge of Java, Spring Boot, Microservices applications, and the ability to troubleshoot customer experience incidents with relative ease. Strong critical thinking and problem solving skills. Strong business acumen and organizational skills. If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics. Show more Show less

Role Summary Leverage technical AI/ML/data science to guide critical decision-making processes in support of scientific and drug development strategies. Collaborate with key stakeholders, business partners, and research teams to understand business problem, and implement new methods and techniques to solve novel problems Lead cross functional projects / PoCs Role Responsibilities Work closely with global and regional teams to apply AI/ML innovative solutions to business problems and deliver on improving efficiencies in areas of drug development, e.g. in drug discovery, clinical trials, operational efficiencies Translate business requirements into tangible solution specifications and high quality, on time deliverables Work with internal and external partners to propose new solutions for solving novel problems Lead cross functional projects to either implement existing solutions, or identify and create new solutions to solving problems in drug development Support business process excellence by implementing, and creating new processes and pipelines Support and lead ongoing technology evaluation process and cross functional proof of concept projects Represent AQDS functions on cross-functional teams Evangelize the use of AI/ML techniques, both internally and externally Basic Qualifications Advanced degree (Masters, PhD) in Computer Science, Data Science, Computation Biology, Statistics, or related field 8 - 10 yrs. of relevant experience for Masters level, Ph.D. with 3-5 years of experience Python or R fluency Ability to lead AI/ML/data science pipeline including the various steps of data retrieval, cleaning, analysis/modeling, application of AI algorithms through to production Expertise with standard supervised and unsupervised machine learning approaches Advanced verbal and written communication skills in relating to colleagues and associates both inside and outside the organization. Ability to influence stakeholders when leading cross-functional projects Preferred Qualifications Ability to complement the team with new approaches such as Agentic AI, RAGs, LLMs, network analysis, knowledge graphs, graph neural networks, etc. would highly desired Experience working in scalable computing would be a valuable supplement (AWS, Spark, Kubernetes, etc.) Experience in data visualization, user interfaces (Flask, Shiny, etc.), data pipelines and MLOps are a plus Knowledge of pharmaceutical area and chemistry/biology familiarity Physical/Mental Requirements Knowledge of state-of-the-art technologies and tools for AI/ML/Data Science/ Data Analytics/Statistics /; able to evaluate and leverage them into improved business processes for deployment and adoption Expertise in some of the above mentioned tools/technologies ORGANIZATIONAL RELATIONSHIPS Works within DSA functional lines (Statistics, SDSA) and with functions in GPD Work Location Assignment: Hybrid Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates. Medical Show more Show less

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What You’ll Be Doing... You will support the Tier 2 engineering application suite for our Consumer and Business customers. When these applications perform well, they are an important part of the overall customer experience. You will work closely with stakeholders to streamline operations and monitor the health and performance of the application suite. The solutions you implement will help meet our customer’s needs and make it easy for them to do business with us. Developing and implementing AIOps enabled processes for maximizing operational efficiency, profitability, and key application throughput measures. Establishing AI driven operations process by enabling solutions of smart workflows, ML based Issue triage, and self healing solutions. Driving the engineering team to AIML Models for NLP, Anomaly detection, issue similarity detection, building training analyzers, and auto fix solutions with Knowledge Graph driven Business rules, etc. Developing and enhancing AIML solutions to automate the day-to-day support activities and helping the operations team improve their productivity with intelligent solutions that will auto triage the problems and recommend solutions. Establishing AI enabled operations and driving the engineering to build intelligent monitoring and self healing solutions Developing and implementing best practices and procedures to enhance business growth. Suggesting and implementing new proposals and technology to enhance business productivity including automation, process enhancements, business enhancements, and policy changes. Collaborating with functional units of an organization to develop and integrate new or existing services. Managing Application engineering services to ensure they meet client/customer expectations and requirements. Developing reporting metrics for the application and trending of the tickets. Establishing MLOps and deployment processes for deploying the AIML models. Building and maintaining positive trust relationships with key stakeholders across IT and Frontline teams. Ensuring IT Field operations comply with all local and federal labor laws and legislations. Working on work shifts to ensure efficient operations. Performing code analysis, static code tools usage, and any additional tools to produce good quality code. Implementing nonfunctional requirements - performance, scalability, reliability, extensibility, etc. Providing recommendations on servers, load balancing, high availability, disaster recovery, and storage architectures, and End to End analysis and Design responsibilities Analyzing architecture, relationships between systems, and system flows. Guiding others to assess system usage trends and identify potential performance and intersystem flaws. Evaluating solutions alignment and end user experience. Where you'll be working... In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager What We’re Looking For... You’ll need to have: Bachelor's degree or six or more years of work experience. Six or more years of relevant work experience in L1 and L2 support models. Three or more years of experience in AIOps, and MLOps areas. Experience in leading AIML teams establishing AIOps process from foundations Experience in driving solution development teams using technologies like RAG, Airflow, OpenSearch, and Knowledge Graphs. Experience in Java and Python technology stack. Experience in building LLM/SLM based solutions and chatbots. Hands on experience with core Python AIML libraries and building AIML models for NLP and predictive AI Experience in handling the CICD pipelines for AIML Models. Two or more years of experience in DevSecOps with cloud exposure. Experience with AWS & ELK technology stack. Experience with Kubernetes, GraphQL, and Spring reactive services. Even better if you have one or more of the following: A Master's degree. Ability to multi-task and succeed in a fast paced, dynamic work environment. The ability to quickly debug application problems and provide short and long-term solutions. Experience in dealing with Java based systems at an enterprise level. Ability to interact and communicate successfully with business partners and technology teams. A telecom domain operational tools working knowledge. Ability to understand the given problem statement and provide solutions with future focused technology selection. Ability to design and implement solutions with ease of use. Experience in working with cross-functional teams and projects. The ability to guide and develop intuitive user interfaces for Operation tools. Knowledge of Java, Spring Boot, Microservices applications, and the ability to troubleshoot customer experience incidents with relative ease. Strong critical thinking and problem solving skills. Strong business acumen and organizational skills. If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics. Show more Show less

Requirements Description and Requirements Job Details: Excellent verbal, written, and presentation communication Skills Intellectually curious – fast and self-driven learner in areas including new business models, analytical techniques, technical skills, etc. Demonstrated analytical and problem-solving experience Demonstrated strong organizational, time management, prioritization, and coordination skills Ability to self-initiate follow-up, work independently, and adhere to deadlines Ability to build strong stakeholder relationships and foster ownership, innovation, and collaboration within a team Average to advanced proficiency in data analysis and data modeling Advanced analytical thinking Ability to multitask, meet deadlines, and adhere to project timelines. Process mapping or process documentation experience Conduct in-depth data analysis to identify errors and areas for improvement, contributing to the ongoing improvement of the reporting processes. Ability to speak with Senior level stakeholders (Directors, VPs, etc.) Ability to understand client requests and translate them into BI solutions Flexibility to work on ad hoc tasks required by stakeholders Additional Job Description Skills: English B2 - Required Excel advanced - Required Proficiency with MS Office or Google Workspace applications (MS Excel, Google Sheets, Google Data Studio, etc.) with the ability to create charts, graphs, pivot tables, and complex formulas - Required Ability to learn to navigate new tools and dashboards - Required Zendesk, IEX, Verint, Impact 360, or Injixo knowledge - Desirable BPO Center Software (CMS, CISCO, etc.) Tableau, Power Bi - Desirable Statistics, mathematical logic - Required EEO Statement At TELUS Digital, we enable customer experience innovation through spirited teamwork, agile thinking, and a caring culture that puts customers first. TELUS Digital is the global arm of TELUS Corporation, one of the largest telecommunications service providers in Canada. We deliver contact center and business process outsourcing (BPO) solutions to some of the world's largest corporations in the consumer electronics, finance, telecommunications and utilities sectors. With global call center delivery capabilities, our multi-shore, multi-language programs offer safe, secure infrastructure, value-based pricing, skills-based resources and exceptional customer service - all backed by TELUS, our multi-billion dollar telecommunications parent. Equal Opportunity Employer At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants’ qualifications, merits, competence and performance without regard to any characteristic related to diversity. Show more Show less

Job Title: Senior Data Scientist Total Experience: 4Yrs–8+Yrs with 2–3 years of relevant experience. Location: Chennai - Hybrid About the Role: We are seeking an experienced Senior Data Scientist to take part in the development of advanced AI solutions with a strong focus on Generative AI (Gen AI) and LLMs. This role requires detep technical expertise in cutting-edge frameworks such as LangChain, CrewAI, and AutoGen, as well as experience in building full-stack AI systems to production. Key Responsibilities: Architect, design, and implement Gen AI / LLM-based solutions using LangChain, CrewAI, AutoGen. Develop advanced RAG pipelines, structured prompting (e.g., Chain of Thoughts), and implementKnowledge Graphs to enhance AI reasoning Lead full-cycle AI product development, including model training, evaluation, deployment, and CI/CD integration for scalable delivery Work with large and complex datasets, performing preprocessing, feature engineering, and web scraping where required Build and maintain AI model pipelines and services integrated with Vector DBs, Graph DBs, and BigData platforms. Utilize cloud-based AI offerings (Azure AI Services, AWS Bedrock, GCP Vertex AI) for deploying scalable and secure AI products Collaborate cross-functionally with engineering, product, and domain experts to translate business needs into AI solutions Stay updated on the latest AI technologies and best practices. Must-Have Skills: Core AI Capabilities Gen AI, LLMs (OpenAI, Cohere, Claude, etc.), Agentic AI, Prompting, Chain of Thoughts LangChain, CrewAI, AutoGen, Advanced RAG technics Knowledge Graph design and implementation Strong Python and SQL programming AI Product C Deployment End-to-end AI product development lifecycle Model deployment, evaluation, CI/CD pipeline automation Web scraping and classic ML/NLP model development and validation Databases Vector DBs, Graph DBs, BigData platforms etc. Cloud Integration Azure AI Services, AWS Bedrock, GCP AI models Cloud-native AI deployments using managed services Good-to-Have Skills: Model governance and benchmarking frameworks Experience with Streamlit or similar tools for rapid prototyping Knowledge of Time Series forecasting and signal-based modeling Domain expertise or project experience in: Healthcare, Automotive, Retail, Oil C Gas Show more Show less

About the Role The Reporting Analyst III/ HR Operations is a key member of the GenAI Crowdsourcing Team, responsible for developing and maintaining reporting dashboards and contributing to projects aimed at optimising the performance management of Crowdsourcing team members. Responsibilities Requirements Analysis : Understand and analyse business needs to define reporting solutions. Assessment & Planning : Contribute to planning activities and assess reporting needs. Data Model Design : Develop robust data models to support reporting requirements. Solution Building : Create dashboards and reports that provide actionable insights. Risk Assessment & Mitigation : Identify risks and implement manual or automated mitigation measures. Testing : Perform functional unit and User Acceptance Testing (UAT) to ensure data accuracy and functionality. Data Gathering : Extract, process, and transform data into consumable outputs aligned with requirements. Documentation : Create process documentation and user guides for reporting solutions. Troubleshooting & Support : Provide end-user support, resolve issues, and escalate as necessary. Continuous Alignment : Ensure reporting scope aligns with program or account requirements. Requirements Experience : Minimum of 1-year experience in recruitment operations, with a focus on data analytics using tools like Google Sheets, Google Data Studio, MS Excel, Sisense, etc. (Desirable). Background in recruiting metrics (Preferred). Education : Bachelor’s degree in any discipline (Preferred: advanced degree or specialization in Analytics, Statistics, Mathematics, or relevant data analytics experience). Technical Proficiency : Advanced knowledge of Google Workspace or MS Office applications for data analysis, including charts, graphs, pivot tables, and complex formulas. Familiarity with Looker Studio and the ability to translate client requests into actionable solutions. Language Skills : Proficiency in English (B2 level or higher). Skills Communication : Strong verbal, written, and presentation skills. Analytical Thinking : Demonstrated problem-solving and analytical expertise. Time Management : Strong organisational and prioritization skills, with the ability to meet deadlines. Stakeholder Engagement : Ability to build strong relationships and foster collaboration. Self-Driven : Ability to independently follow up and deliver results. Technical Learning : Fast learner with the ability to quickly adapt to new tools and business models. Show more Show less

Designation: Data Analyst Job Description: Collect, process, and analyze data from internal systems (UMS, LMS, HRMS, Finance, Admissions, etc.) for daily, weekly, and monthly reports. Create and maintain dashboards for real-time tracking of academic performance, admissions, attendance, placement, and fee status. Generate reports, graphs, and visualizations to support institutional reviews, audits, and leadership decision-making. Collaborate with Registrar’s Office, Academics, Finance, HR, and other departments to assess data needs and improve data utilization. Handle ad-hoc data queries, urgent insights, and special reporting requests from leadership. Qualification & Skill Required: Bachelor’s or Master’s degree in Statistics, Data Science, Computer Science, Economics, or related field. Minimum 2 years of professional experience in data analysis, preferably in an educational or institutional setting. Proficient in Microsoft Excel (Advanced), Power BI, Tableau, and SQL; Python or R is a plus. Good interpersonal skills and ability to work across departments collaboratively. Job Location: Singtam, Sikkim Work Mode: In office/On-site About Medhavi Skills University: Medhavi Skills University (MSU) is a government-notified private skills university established under a State Act in Sikkim, dedicated to promoting quality skill education and entrepreneurship integrated with higher education. As a pioneering institution in the convergence of the skilling ecosystem with higher education, MSU aligns with the National Education Policy, 2020 (NEP 2020). Recognized by the UGC and established in 2021, MSU collaborates with industries and Skill Development Institutes to offer work-integrated courses, embedding on-the-job internships and training within the curriculum. MSU is a recognized Awarding Body under the National Council for Vocational Education &Training (NCVET) and is empaneled with the Directorate General of Training (DGT). As an anchor university partner with the National Skill Development Corporation (NSDC) and the Project Management Unit (PMU) of NSDC International, MSU is committed to preparing youth for the future workspace by co- working with industry partners to design and implement demand-driven programs. For more information, visit https://msu.edu.in/ Job Type: Full-time Pay: ₹300,000.00 - ₹500,000.00 per year Schedule: Day shift Work Location: In person

Experience: 0-3 Years Role Overview We’re seeking an AI Solutions Engineer to lead the integration of GenAI tools— such as ChatGPT or Claude—into our core platform. You’ll design, prototype, and deploy features that elevate student outcomes, make teaching exciting, and enrich dashboards with intelligent insights, all while upholding privacy and governance standards. Key Responsibilities Design and build GenAI-powered features like guided study assistants, automated remediation engine, and intelligent feedback tools. Develop end-to-end pipelines (prompt design → model integration → CI/CD deployment) that align with Edwisely’s Intelligent Learning Infrastructure. Collaborate with product teams, faculty, and UX designers to deploy AI features in classrooms and dashboards. Ensure all AI implementations meet ISO 27001 security and CERT-In data protection guidelines. Measure adoption and impact via analytics dashboards—support evidence-based learning outcomes. What You’ll Bring Strong in prompt engineering, RAG, embeddings, or QA systems using frameworks like OpenAI API, LangChain, Hugging Face Transformers. Familiarity with ML deployment—FastAPI, Docker, AWS/GCP—within production-grade applications. Experience with education data, knowledge graphs, student modeling, or assessment systems is a big plus. Results-driven: ability to turn prototypes into scalable features. Passionate about improving higher education with impactful, AI-driven solutions. Why Edwisely? Be part of a high-impact EdTech startup, transforming learning journeys of engineering students nationwide. Work with a product that uses AI + analytics to personalize learning, support faculty, and guide institutional decisions . Career growth: define your ownership—architecture, implementation, or research-led product development. Competitive package, fast-paced work culture, and freedom to drive real-world impact. Application Process Submit your CV + GitHub or project links (especially showcasing GenAI integrations or NLP projects). @ satish@edwisely.com Technical interview focusing on applied AI scenarios (prompt design, architecture, pipelines). Work sample task: prototype an AI feature for Edwisely

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities: AI Implementation: Implement AI solutions to automate tasks, improve customer experiences, and optimize operations Data Analysis and Interpretation : Analyze large datasets to extract meaningful insights and trends using Python and data science techniques Model Development: Develop, train, and deploy machine learning models to solve business problems and enhance decision-making processes Data Collection and Cleaning: Data Analysts are responsible for gathering data from multiple sources, ensuring its accuracy and completeness. This involves cleaning and preprocessing data to remove inaccuracies, duplicates, and irrelevant information. Proficiency in data manipulation tools such as SQL, Excel, and Python is essential for efficiently handling large data sets Analysis and Interpretation : One of the primary tasks of a Data Analyst is to analyse data to uncover trends, patterns, and correlations. They use statistical techniques and software such as R, SAS, and Tableau to conduct detailed analyses. The ability to interpret results and communicate findings clearly is crucial for guiding business decisions Reporting and Visualization: Data Analysts create comprehensive reports and visualizations to present data insights to stakeholders. These visualizations, often created using tools like Power BI and Tableau, make complex data more understandable and actionable. Analysts must be skilled in designing charts, graphs, and dashboards that effectively convey key information Collaboration and Communication: Effective collaboration with other departments, such as marketing, finance, and IT, is vital for understanding data needs and ensuring that analysis aligns with organizational goals. Data Analysts must communicate their findings clearly and concisely, often translating technical data into understandable insights for non-technical stakeholders Predictive Modelling and Forecasting: Advanced Data Analysts also engage in predictive modelling and forecasting, using machine learning algorithms and statistical methods to predict future trends and outcomes. This requires a solid understanding of data science principles and familiarity with tools like TensorFlow and Scikit-learn Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Undergraduate degree or equivalent experience Python Proficiency: Solid knowledge of Python programming, including libraries for data analysis (e.g., Pandas, NumPy) and machine learning (e.g., scikit-learn, TensorFlow, Keras) At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

Job description Some careers have more impact than others. If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be. HSBC is one of the largest banking and financial services organisations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Manager - Performance and Reward Operations Business: Human Resource Principal responsibilities Assist with analysis and preparation of information to support the Group team e.g., Material Risk Taker, Compensation data for internal requirements and external reporting, Emoluments. Monitoring team mailboxes and MS teams channels and respond to process related queries. Consolidate data from regional/business submissions, data analysis and manipulation, report generation, MI production to meet operational or regulatory report submissions. To prepare compensation data based on requests received from management and regulators on all aspects of reward as required. Pay review reconciliation and system maintenance for the Executive Compensation population. Exhibit ownership of own work. Requirements Typical qualifications would include a Bachelor’s degree/equivalent experience High proficiency/capability in Microsoft Excel, including advanced experience with formulas, large data set analysis and graphs. Ability to analyze and develop recommendations based on data observed. Proficiency with Employee Central and People Insights reporting. Detail-oriented. Well-developed management, interpersonal, organizational, negotiation, problem-solving and verbal and written communication skills. Effective problem solving and interpersonal skills. Able to organize work, document and report concisely. Ability to perform in high-pressure environment should be effective in a flexible work environment. Ability to build rapport with people. Will be required to maintain confidentiality regarding work. Adaptable and flexible to change. Should be willing to work in rotational shifts. You’ll achieve more at HSBC HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.” Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. ***Issued By HSBC Electronic Data Processing (India) Private LTD***

JOB DESCRIPTION :- Exeperience : - Required 2 year. We are seeking a highly skilled Medical Content Writer to join our team. As a writer, you will be responsible for: l Conducting in-depth research to gather reliable and up-to-date medical information from credible sources. l Creating clear, concise, and engaging content for blogs, manuscripts, abstracts, posters, info graphs, visual aids (VA), leave-behind literature (LBL), big reminder card (BRC), slide decks, and related creative’s l Content management on website l Proofreading documents to ensure accuracy and consistency l Collaborating with cross functional teams to enhance creative inputs (visuals, info graphics, videos, etc.) l Participating in meetings and project discussions with clients and internal teams l Pitch creative content ideas to attract and engage the target audience. Job Types: Full-time, Permanent Pay: ₹25,000.00 - ₹35,000.00 per month Schedule: Day shift Work Location: In person

Location(s): Quay Building 8th Floor, Bagmane Tech Park, Bengaluru, IN Line Of Business: ROC(ROC) Job Category: Credit Analysis & Research Experience Level: Experienced Hire At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies: Basic knowledge of financial statements and basic understanding of how data fits into methodologies Ability to read, understand and interpret financial metrics reported by rated entities Strong organizational skills Attention to detail Ability to work effectively in a collaborative team environment Intermediate Microsoft Excel skills Good written and verbal communication skills Good interpersonal skills, interact with team members, direct managers and limited other stakeholders Develop working knowledge of more than one simple project/deliverable with guidance Relevant experience of up to 2 years in credit/financial data analysis and interpretation; experience in structured finance will be an added advantage Education Bachelors/Masters in Finance, Business, Accounting or similar field Responsibilities Perform analysis to support ratings, research, and analytical outreach Apply Moody’s Ratings' standards to existing data to produce valuable inputs into the rating and research process, including Moody's adjusted data, key indicators, ratios, charts, and graphs in line with Moody’s Ratings’ methodologies Perform various data intake tasks, including scrubbing and validating data for further use in research and ratings Review and understand financial reports, official statements, and other documents related to issuers' performance Work directly with ratings and support analysts to understand data capture requirements, adjustments, and other information needed by the rating team for ratings and research Perform simple calculations and apply judgment for other calculations of data Gather data from various sources (sometimes unstructured), update relevant databases, escalate or resolve issues Complete simple deliverables such as newsletters, database maintenance, more complex or high-profile admin or other ad-hoc support with oversight About The Team Our Data & Analytics team is responsible for performing a range of data, analytical and research services that contribute to the overall credit analysis function carried out by the structured finance rating groups. By joining our team, you will be part of exciting work in financial data analysis. Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary. Show more Show less