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Credit Risk Modelling Analytics - CareerEquifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds,  and make a meaningful impact, we want to hear from you.As an Equifax Model Performance Monitoring Analytics Consultant you will play a pivotal role in the Model Governance function within Data and Analytics (D&amp;A). You will deliver and manage Model Governance projects, including complex modelling monitoring and supporting ongoing validation assignments. You will provide consultancy and have engagement with key stakeholders such as Core and Client Analytics, Product,  Compliance and Data Privacy. As a Model Performance Monitoring Analytics Consultant you will have expert knowledge of the way scorecards and models are built, having worked on a number of developments across several verticals. Your Model performance monitoring outputs will be presented and reviewed at the Equifax Analytics Governance body the Analytics Council. As an Equifax Model Performance Monitoring Analytics Consultant you will :<ul><li><ul><li>Develop and implement monitoring systems for statistical models using proven experience in statistical model development and in-depth analytical and modeling expertise, leveraging CRA data assets.</li><li>Manage all stages of Model Performance Monitoring projects, including design, development, and execution, to meet quality standards and project timelines. This encompasses all model types, such as logistic regression and Machine Learning techniques.</li><li>Support the Equifax business with technical model monitoring and validation expertise and consultancy, leading to constructive and effective working relationships with other departments and business units including model owners, model developers, platform owners, marketing, technology, compliance, legal and business owners.</li><li>Lead the implementation of on-going step improvements in Equifax model performance monitoring software and processes / procedures.</li><li>Communicate analytical Model performance results to cross functional stakeholders and senior Analytics leaders. The role involves using data mining tools and programming languages SQL and Python to prepare data for analysis and business decision making.</li><li>Understand of the regulatory landscape with respect to CRA Model Performance Monitoring and the potential impact to our clients</li></ul></li></ul> What you’ll do<ul><li>Works in Data and Analytics to independently design projects to meet business needs</li><li>Leverage advanced techniques to create code that is optimized, efficient, repeatable and scalable</li><li>Use analytical insights to develop solutions, improved processes and work with counterparts in the business to implement proposed solutions</li><li>Understand ingestion prioritizations, analyze, understand and prepare complex and new data sources and incorporate them into project design. Acts as a domain and/or technical lead to more junior members</li><li>Package, summarize, visualize and perform storytelling on analytical findings and results for management and business users</li><li>Solve complex internal or customer analytical problems across various business domains and areas of expertise</li><li>Ability to talk to impact and strategic importance of findings on the business (either Equifax or external customer) and recommend appropriate course of action; ability to advocate to implementation of solutions and improved processes as well as share the qualitative and quantitative elements to drive value and share the "so what' out of the analysis being performed. </li><li>Ensure proper use of Equifax data assets by working closely with data governance and compliance professionals</li></ul> What experience you need  <ul><li>BS degree in a STEM major or equivalent discipline</li><li>5-7 years of experience in a related analyst role</li><li>Cloud certification strongly preferred</li><li>Technical capabilities including SQL, BigQuery, R, Python, MS Excel / Google Sheets, Tableau, Looker</li><li>Experience working as a team and collaborating with others on producing descriptive and diagnostic analysis. Experience working with non-technical partners to explore new capabilities and data monetisation opportunities</li></ul> What could set you apart<ul><li>Experience in a credit risk / model development environment  developing statistical models, with hands on detailed analytic &amp; modelling expertise, ideally leveraging CRA data assets</li><li>Experience in scorecard monitoring  </li><li>Experience in the use of credit bureau data</li><li>Experience in programming languages SAS, SQL and Python in a credit risk environment</li><li>Strong written and verbal communication and consulting skills, with the ability and confidence to present to business partners and senior management</li><li>Proficiency with Google suite or MS Office (docs/Word, sheets/Excel, slides/PowerPoint)</li><li>Experience with model risk management and/or compliance</li><li>Expertise in scorecard validations within a given industry sector</li><li>Previous analytical consultancy in a big data environment</li><li>Exposure to machine learning techniques</li><li>Experience with data visualization tools.</li><li>Cloud experience using GCP or Amazon AWS</li></ul>We offer a hybrid work setting, comprehensive compensation and healthcare packages, attractive paid time off, and organizational growth potential through our online learning platform with guided career tracks.Are you ready to power your possible?  Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!Primary Location: IND-Pune-Equifax Analytics-PECIND-Pune-Equifax Analytics-PEC-RemoteFunction: Function - Data and AnalyticsSchedule: Full time<h4>Experience Level</h4>Senior Level

Equifax Credit Information Services Pvt Ltd

Social Media Intern

IN-Senior Associate_ Power BI_RC GRC_Advisory_BangaloreLine of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismRiskManagement LevelSenior AssociateJob Description &amp; SummaryA career within Internal Audit services, will provide you with an opportunity to gain an understanding of an organisation’s objectives, regulatory and risk management environment, and the diverse needs of their critical stakeholders. We focus on helping organisations look deeper and see further considering areas like culture and behaviours to help improve and embed controls. In short, we seek to address the right risks and ultimately add value to their organisation.At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more <a href="https://www.pwc.in/about-us.html" rel="noopener noreferrer" target="_blank">about us</a>.At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true saelves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "Job Description &amp; SummaryRisk Analytics team focus on Risk Tech Transformation projects involving migration of on-premise applications to cloud, data platform modernisation, application modernisation, advanced analytics and data management concerned with risk &amp; regulatory reporting processes.This team provide Development, Design, oversight and support across each of the Risk &amp; Reg Reporting Solutions delivery towers to ensure Reporting Solutions systems and components are operationally sound and meeting Architecture and Design standards. Ensure delivery of support and strategic change aligns with the long-term strategy of the clients in Fortune / FT / BSE 500.Responsibilities:· Hands-on experience of working on implementation and development using T-SQL, Power BI &amp; Python· Experience of test-driven development alongside the use of automated test frameworks, mocking and stubbing and unit testing tools· An understanding of how to translate product and business requirements into technical solutions· The ability to understand and support, modify and maintain systems and code developed by other engineering teamsKnowledge and Experience· Development experience in SQL and Power BI service to publish and schedule reports· Knowledge of relational, in-memory, distributed and non-SQL databases· Knowledge on Python is preferred· Experience of using industry recognised frameworks and development tooling· Experience of working in an environment where products have to be delivered to specific timescales· An understanding of how to translate product and business requirements into technical solutions· Experience of working with code repositories, bug tracking tools and wikis· Display behaviours in line with our Critical People CapabilitiesMandatory Skill Sets:· Power BI+SQLPreferred Skill Sets:· PythonYears of Experience required:· 3+ YearsEducation Qualification:· BE, B.Tech, M.Tech, MCA, MBA graduates.Education (if blank, degree and/or field of study not specified)Degrees/Field of Study required: Bachelor of Engineering, Bachelor in Business Administration, Master of Business AdministrationDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsPower BIOptional SkillsAccepting Feedback, Accepting Feedback, Accounting and Financial Reporting Standards, Active Listening, Analytical Thinking, Artificial Intelligence (AI) Platform, Auditing, Auditing Methodologies, Business Process Improvement, Communication, Compliance Auditing, Corporate Governance, Creativity, Data Analysis and Interpretation, Data Ingestion, Data Modeling, Data Quality, Data Security, Data Transformation, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Financial Accounting, Financial Audit {+ 24 more}Desired Languages (If blank, desired languages not specified)Travel RequirementsNot SpecifiedAvailable for Work Visa Sponsorship?NoGovernment Clearance Required?NoJob Posting End Date<h4>Experience Level</h4>Senior Level

PriceWaterhouseCoopers Pvt Ltd ( PWC )

Chief Risk Management Officer

IN_Senior Associate_AWS _D&A_Advisory_PAN IndiaLine of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData, Analytics &amp; AIManagement LevelSenior AssociateJob Description &amp; SummaryAt PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.Why PWCAt PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more <a href="https://www.pwc.in/about-us.html" rel="noopener noreferrer" target="_blank">about us</a>.At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.Job Description &amp; Summary: A career within….Responsibilities:Design and build data pipelines &amp; Data lakes to automate ingestion of structured and unstructured data that provide fast, optimized, and robust end-to-end solutions Knowledge about the concepts of data lake and data warehouse Experience working with AWS big data technologies Improve the data quality and reliability of data pipelines through monitoring, validation and failure detection. Deploy and configure components to production environments Technology: Redshift, S3, AWS Glue, Lambda, SQL, PySpark, SQLMandatory skillsets:AWSPreferred skillsets:AWSYears ofexperiencerequired:4-13 YearsEducationqualification:Btech/MBA/MCAEducation (if blank, degree and/or field of study not specified)Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of TechnologyDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsAWS DevopsOptional SkillsAccepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Applied Macroeconomics, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Geopolitical Forecasting {+ 24 more}Desired Languages (If blank, desired languages not specified)Travel RequirementsNot SpecifiedAvailable for Work Visa Sponsorship?NoGovernment Clearance Required?NoJob Posting End Date<h4>Experience Level</h4>Senior Level

Senior Associate

IN_Associate_ AWS Data Engineer_D&A_Advisory_PAN IndiaLine of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData, Analytics &amp; AIManagement LevelAssociateJob Description &amp; SummaryAt PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.Why PWCAt PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more <a href="https://www.pwc.in/about-us.html" rel="noopener noreferrer" target="_blank">about us</a>.At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.Responsibilities:- Design and build data pipelines &amp; Data lakes to automate ingestion of structured and unstructured data that provide fast, optimized, and robust end-to-end solutions - Knowledge about the concepts of data lake and data warehouse - Experience working with AWS big data technologies - Improve the data quality and reliability of data pipelines through monitoring, validation and failure detection. - Deploy and configure components to production environments - Technology: Redshift, S3, AWS Glue, Lambda, SQL, PySpark, SQLMandatory skill sets:AWS Data EngineerPreferred skill sets:AWS Data EngineerYears of experience required:2-5 yearsEducation qualification:B. Tech/MBA/MCA / M. TechEducation (if blank, degree and/or field of study not specified)Degrees/Field of Study required: Bachelor of Technology, Bachelor of Engineering, MBA (Master of Business Administration)Degrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsData EngineeringOptional SkillsAccepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline, Data Quality, Data Strategy {+ 22 more}Desired Languages (If blank, desired languages not specified)Travel RequirementsAvailable for Work Visa Sponsorship?Government Clearance Required?Job Posting End Date

Cloud Engineer

IN_Senior Associate_ SAP MDG_D&A_Advisory_PAN IndiaLine of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData, Analytics &amp; AIManagement LevelSenior AssociateJob Description &amp; SummaryAt PwC, our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decision-making. These individuals handle data governance, quality control, and data integration to support business operations. In data governance at PwC, you will focus on establishing and maintaining policies and procedures to optimise the quality, integrity, and security of data. You will be responsible for optimising data management processes and mitigate risks associated with data usage.Why PWCAt PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more <a href="https://www.pwc.in/about-us.html" rel="noopener noreferrer" target="_blank">about us</a>.At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.Responsibilities:Experience range: 4 - 10 years Preferred Location: Mumbai, Bangalore, Hyderabad, Kolkata Experience in at least 2 end to end SAP MDG implementation in one or more of the following objects: BP - Supplier &amp; Customer, Material, Finance objects. 1. NWBC or FIORI based solutioning in SAP MDG. 2. Different types of CR creation for master data creation, maintenance, block, unblock via governance process. 3. Process Modelling: Configuration of new Change Requests and set up rule-based workflow (BRF+ or BadI or both) 4. Enhancing data model for custom attributes 5. Enhancing UI/Forms for custom attributes 6. Enhancing existing handler class to incorporate complex business rules 7. Maintenance of Z tables for validation, derivation to implement DDIC 8. Data Replication via IDOC or PIPO. 9. Worked with client that manufacture plumbing fixtures, building materials and housing equipment. 10. Added additional fields for MM data model and created end to end scenario for fields available in the ERP Backend system. 11. Enhanced BP data model with custom entities with corresponding UI enhancements. 12. Configured UI with CBAs and component configurations in FPM and adjusted field properties with BADI. 13. DRF configuration end to end. 14. Configuring Data Replication via SOA, ALE and RFC. 15. Setting up Key &amp; Value Mapping in MDG for Material and legacy ECC systems. 16. Unit testing, supporting SIT, UAT and Go-Live 17. Performing Pre- Go Live cut-over activities 18. Training user with the master data creation via NWBC &amp; Fiori MDG process 19. Supporting post Go-Live Defect resolution and implemented CR’s.Mandatory skill sets:SAP MDGPreferred skill sets:SAP MDGYears of experience required:4-8Education qualification:Btech/MBA/MCAEducation (if blank, degree and/or field of study not specified)Degrees/Field of Study required: Bachelor Degree, MBA (Master of Business Administration)Degrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsSAP Master Data Governance (MDG)Optional SkillsAccepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Process Management (BPM), Communication, Corporate Governance, Creativity, Data Access Control, Database Administration, Data Governance Training, Data Processing, Data Processor, Data Quality, Data Quality Assessment, Data Quality Improvement Plans (DQIP), Data Stewardship, Data Stewardship Best Practices, Data Stewardship Frameworks, Data Warehouse Governance, Data Warehousing Optimization, Embracing Change, Emotional Regulation, Empathy, Inclusion {+ 17 more}Desired Languages (If blank, desired languages not specified)Travel RequirementsNot SpecifiedAvailable for Work Visa Sponsorship?NoGovernment Clearance Required?NoJob Posting End Date<h4>Experience Level</h4>Senior Level

SAP MM Consultant

IN_Associate_ AWS Data Engineer_D&A_Advisory_PAN IndiaLine of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData, Analytics &amp; AIManagement LevelAssociateJob Description &amp; SummaryAt PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.Why PWCAt PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more <a href="https://www.pwc.in/about-us.html" rel="noopener noreferrer" target="_blank">about us</a>.At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.Responsibilities:- Design and build data pipelines &amp; Data lakes to automate ingestion of structured and unstructured data that provide fast, optimized, and robust end-to-end solutions - Knowledge about the concepts of data lake and data warehouse - Experience working with AWS big data technologies - Improve the data quality and reliability of data pipelines through monitoring, validation and failure detection. - Deploy and configure components to production environments - Technology: Redshift, S3, AWS Glue, Lambda, SQL, PySpark, SQLMandatory skill sets:AWS Data EngineerPreferred skill sets:AWS Data EngineerYears of experience required:2-5 yearsEducation qualification:B. Tech/MBA/MCA / M. TechEducation (if blank, degree and/or field of study not specified)Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of Technology, Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsData EngineeringOptional SkillsAccepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline, Data Quality, Data Strategy {+ 22 more}Desired Languages (If blank, desired languages not specified)Travel RequirementsAvailable for Work Visa Sponsorship?Government Clearance Required?Job Posting End Date<h4>Experience Level</h4>Mid Level

Data Engineer

Sr Manager - Reporting & Analytical productsJob Description SummaryMake people data work for everyone. As Senior Manager, Reporting &amp; Analytics (PTDI), you’ll scale self‑serve reporting, productize insights, and deliver regulatory‑grade external reporting for P&amp;O. If you’re fluent in Workday analytics, Power BI, and data governance. Engage with business representatives and support the appropriate teams and Functions to develop business requirements and deliver data driven recommendations to improve efficiency and add value and love building usable products that leaders trust—this is your next move. Job DescriptionLocation – Hyderabad #LI Hybrid  Key Responsibilities: <ul><li>Own and scale self‑serve reporting products (Workday dashboards, Discovery Boards, Power BI)</li><li>Lead external reporting (EU Pay Transparency, ESG) with audit‑ready methods</li><li>Champion Workday reporting enablement and adoption.</li><li>Manage intake, prioritize demand, and partner with P&amp;O COEs and Client Partnering.</li><li>Working closely with a team of reporting analysts; enforce quality and release standards.</li></ul>Essential Requirements: <ul><li>8–12 years in analytics &amp; reporting; 3–5 years managing reporting products and stakeholder engagement.</li><li>Expertise in reporting (dashboards, Discovery Boards) and Power BI.</li><li>Experience with managing ad hoc requests, strong expertise in MS PowerPoint, MS Excel</li><li>Familiarity with data governance frameworks and DQ tooling</li></ul>Desirable Requirements: <ul><li>Snowflake/AWS analytics experience.</li><li>Knowledge of job architecture and skills data.</li></ul>Why Novartis: Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: <a href="https://www.novartis.com/about/strategy/people-and-culture" rel="noopener noreferrer" target="_blank">https://www.novartis.com/about/strategy/people-and-culture</a>You’ll receive: You can find everything you need to know about our benefits and rewards in the Novartis Life Handbook. <a href="https://www.novartis.com/careers/benefits-rewards" rel="noopener noreferrer" target="_blank">https://www.novartis.com/careers/benefits-rewards</a> Commitment to Diversity and Inclusion:   Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.  Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here:  <a href="https://talentnetwork.novartis.com/network" rel="noopener noreferrer" target="_blank">https://talentnetwork.novartis.com/network</a> Skills DesiredAnalytical Thinking, Communication Skills, Requirements Analysis, Requirements Gathering<h4>Experience Level</h4>Senior Level

Novartis India

Senior Analyst

Specialist, Data Science-1<h4>Job Description:</h4>Position Requirements We are seeking a highly motivated and enthusiastic Senior Data Scientist with over 8 years of experience to join our dynamic team. The ideal candidate will have a strong background in AI/ML analytics and a passion for leveraging data to drive business insights and innovation. Key Responsibilities: • Develop and implement machine learning models and algorithms. • Work closely with project stakeholders to understand requirements and translate them into deliverables. • Utilize statistical and machine learning techniques to analyze and interpret complex data sets. • Stay updated with the latest advancements in AI/ML technologies and methodologies. • Collaborate with cross-functional teams to support various AI/ML initiatives. Qualifications: • Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. • Strong understanding of machine learning , deep learning and Generative AI concepts. Preferred Skills: • Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Computer vision(yolo),Deep Learning stack, NLP using python • Strong knowledge and experience in Generative AI/ LLM based development. • Strong experience working with key LLM models APIs (e.g. AWS Bedrock OR Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain OR LlamaIndex OR RAG) • Experience with cloud infrastructure for AI/Generative AI/ML on AWS, Azure. • Expertise in building enterprise grade, secure data ingestion pipelines (ETL Gluejob, Quicksight) for unstructured data – including indexing, search, and advance retrieval patterns. • Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. • Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. • Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. • Knowledge of training and fine-tuning Foundation Models (Athropic, Claud , Mistral, etc.), including multimodal inputs and outputs. • Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn), Glue crawler, ETL • Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). • Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). • Experience with version control systems (e.g., Git, CodeCommit). Good to have Skills • Knowledge and Experience in building knowledge graphs in production. • Understanding of multi-agent systems and their applications in complex problem solving scenarios.<h4>Equal Opportunity Employer</h4>Pentair is an Equal Opportunity Employer. With our expanding global presence, cross-cultural insight and competence are essential for our ongoing success. We believe that a diverse workforce contributes different perspectives and creative ideas that enable us to continue to improve every day.<h4>Experience Level</h4>Senior Level

Pentair Water India Pvt Ltd

Data Scientist

Senior Data ScientistSenior Data Scientist – Enterprise AnalyticsWant to be part of the Data &amp; Analytics organization, whose strategic goal is to create a world-class Data &amp; Analytics company by building, embedding, and maturing a data-driven culture across Thomson Reuters.We are looking for a highly motivated individual with strong organizational and technical skills for the position of Senior Data Scientist. You will play a critical role working on cutting edge of analytics, leveraging predictive models, machine learning and generative AI to drive business insights and facilitating informed decision-making and help Thomson Reuters rapidly scale data-driven initiatives.About the RoleIn this opportunity as Senior Data Scientist, you will:<ul><li>Engage with stakeholders, business analysts and project team to understand the data requirements. </li><li>Work in multiple business domain areas including Customer Service, Finance, Sales and Marketing.</li><li>Design analytical frameworks to provide insights into a business problem.</li><li>Explore and visualize multiple data sets to understand data available and prepare data for problem solving.</li><li>Build machine learning models and/or statistical solutions.</li><li>Build predictive models, generative AI solutions.</li><li>Use Natural Language Processing to extract insight from text.</li><li>Design database models (if a data mart or operational data store is required to aggregate data for modeling).</li><li>Design visualizations and build dashboards in Tableau and/or PowerBI.</li><li>Extract business insights from the data and models.</li><li>Present results to stakeholders (and tell stories using data) using power point and/or dashboards. </li></ul>About YouYou're a fit for the role of Senior Data Scientist if your background includes:<ul><li>Experience- 6-5 Years in the field of Machine Learning &amp; AI</li><li>Must have a minimum of 3 years of experience working in the data science domain</li><li>Degree preferred in a quantitative field (Computer Science, Statistics, etc.)</li><li>Both technical and business acumen is required</li><li>Technical skills</li><li>Proficient in machine learning, statistical modelling, data science and generative AI techniques</li><li>Highly proficient in Python and SQL</li><li>Experience with Tableau and/or PowerBI</li><li>Has worked with Amazon Web Services and Sagemaker</li><li>Ability to build data pipelines for data movement using tools such as Alteryx, GLUE</li><li>Experience Predictive analytics for customer retention, upsell/cross sell products and new customer acquisition, Customer Segmentation, Recommendation engines (customer and AWS Personalize), POC’s in building Generative AI solutions (GPT, Llama etc.,)</li><li>Hands on with Prompt Engineering</li><li>Experience in Customer Service, Finance, Sales and Marketing</li><li>Additional Technical skills include Familiarity with Natural Language Processing including Feature Extraction techniques, Word Embeddings, Topic Modeling, Sentiment Analysis, Classification, Sequence Models and Transfer Learning</li><li>Knowledgeable of AWS APIs for Machine Learning</li><li>Has worked with Snowflake extensively.</li><li>Good presentation skills and the ability to tell stories using data and Powerpoint/Dashboard Visualizations.</li><li>Ability to communicate complex results in a simple and concise manner at all levels within the organization.</li><li>Consulting Experience with a premier consulting firm.</li></ul>#LI-SS5What’s in it For You?<ul><li>Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.</li><li>Flexibility &amp; Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.</li><li>Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.</li><li>Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.</li><li>Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.</li><li>Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.</li><li>Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.</li></ul>About UsThomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation <a href="http://careers.thomsonreuters.com/us/en/our-commitment-to-candidates#Accommodations" rel="noopener noreferrer" target="_blank">here</a>.Learn more on how to protect yourself from fraudulent job postings <a href="http://careers.thomsonreuters.com/us/en/protect-yourself-from-fraudulent-job-postings" rel="noopener noreferrer" target="_blank">here</a>.More information about Thomson Reuters can be found on <a href="http://thomsonreuters.com." rel="noopener noreferrer" target="_blank">thomsonreuters.com.</a><h4>Experience Level</h4>Senior Level

Thomson Reuters India Pvt Ltd

Senior Manager, Data Service Delivery<h4>Role: Senior Manager, D&amp;A Delivery, Data Services</h4>Location: Kharadi, Pune Life Unlimited. At Smith+Nephew, we design and manufacture technology that takes the limits off living. At Smith+Nephew, we’re building a diverse, forward-thinking Data &amp; Analytics team to accelerate our digital transformation journey. As we advance our global data maturity and deploy a unified cloud-based Snowflake platform, we’re creating a connected digital ecosystem that empowers smarter decisions across the organization. We’re looking for an accomplished Senior Manager – Data &amp; Analytics Delivery to lead the delivery of our Unified Data Platform on AWS and Snowflake, ensuring world-class data services for stakeholders worldwide. In this role, you’ll lead a high-performing team that designs and delivers cutting-edge data and machine learning pipelines, transforming business goals into scalable, insight-driven solutions. You’ll collaborate across business, IT, and vendor partners to enable innovation through data, driving impact with integrity, inclusion, and excellence.What will you be doing?<ul><li>Build and lead a team of data engineers, architects, and data analysts to execute end-to-end Data and Analytics projects from estimation, planning, resourcing, and monitoring perspectives.</li><li>Support Data &amp; Analytics departments across the entire company including manufacturing, operations, marketing, and finance</li><li>Oversee the delivery and health of analytics projects to meet business requirements. Monitor and review the status of the project and ensure that the deliverables are on track with respect to scope, budget, and time.</li><li>Identify and manage risks / issues related to deliverables and arrive at mitigation plans to resolve the issues and risks</li><li>Recruit Motivate, mentor, and lead elite analytics and data engineering team members.</li><li>Democratize data-driven decision making by arming all departments with the education, guidance, and tools needed to turn data into information and deploy it to maximize their impact.</li><li>Partner with Business Engagement team to understand their data analytics, reporting and eventually AI/ML needs and create data solutions to support them.</li><li>Drive data security in compliance with required legal and regulatory policy.</li><li>Keep pace with the changing business environment, technology, and data innovation to optimize data value.</li><li>Hold your teams accountable for consistent, timely delivery</li><li>Help build a strong data delivery team and implement a DevOps model.</li><li>Collaborate with data architecture and business engagement teams to drive the implementation of a Snowflake Datawarehouse (DW) on AWS; act as the data delivery owner and facilitate agile teams to deliver.</li><li>Recommend solutions to improve new and existing DW and Analytics solutions.</li><li>Lead business outcome focused conversations that will prioritize and deliver the right information at the right time and drive the ongoing solution build so that the desired outcomes are met.</li><li>Work with cross-functional stakeholders across the various business and technical teams to develop and execute effective data quality processes and procedures.</li><li>Ensure that a communication and engagement process is in place during and post project</li><li>Participate in numerous communities of practice groups including development, data architecture, business intelligence and analytics, and project management.</li></ul>What will you need to be successful?<ul><li>Education: Bachelor's degree in quantitative field (statistics, engineering, business analytics, information systems, aviation management or related degree)</li><li>Demonstrated customer-facing experience of 7-8 years in a consulting or delivery capacity, preferably in the Life Sciences, Medical Device or similar industry; the role requires strong collaboration with technical and functional teams.</li><li>Strong knowledge of data and analytics business process flow and/or entity relationship modeling; solid understanding of business intelligence tools (Power BI or Tableau), working with cloud-native tools (Snowflake and AWS).</li><li>Understanding of the full analytics project lifecycle from requirements gathering, analytical environment set up, analytics and data engineering project management, and handover and wrap up.</li><li>Demonstrable project governance understanding related to deliverables alignment and quality control; timelines, risk assessment, blocker identification and escalations; scope creep and resource allocation</li><li>Familiarity with agile projects and Agile SCRUM trained/certified; the culture in the team is fast-paced and requires strong collaboration with cross functional and cross geographical teams. You must have experience working with JIRA.</li><li>Build strong relationships with key stakeholders, vendors, working cross-functionally across the organisation.</li><li>Must be effective in a team and demonstrate leadership aptitude with strong problem solving, critical thinking skills, influencing, communication, and presentation skills.</li><li>Self-starter with history of balancing multiple priorities simultaneously with the ability to adapt to the changing needs of the business while meeting deadlines</li><li>Positive attitude and a strong commitment to delivering quality work.</li><li>Effective communication skills (written and verbal), documentation skills and presentation skills.</li><li>Highly proficient in gaining consensus and collaboration with peers in the migration journey from current on prem to future state cloud-based technologies and architectures.</li><li>Ability to work effectively with other technology teams as well as business partners.</li></ul> You Unlimited.We believe in crafting the greatest good for society. Our strongest investments are in our people and the patients we serve.Inclusion + Belonging: - Committed to Welcoming, Celebrating, and Thriving. Learn more about our Employee Inclusion Groups on our website (<a href="https://www.smith-nephew.com/" rel="noopener noreferrer" target="_blank">https://www.smith-nephew.com/</a>).Other reasons why you will love it here!<ul><li>Your Future: Major medical coverage + policy exclusions and insurance non-medical limit. Educational Assistance.</li><li>Work/Life Balance: Flexible Personal/Vacation Time Off, Privilege Leave, Floater Leave.</li><li>Your Wellbeing: Parents’/Parents-in-Law’s Insurance (Employer Contribution of 8,000/- annually), Employee Assistance Program, Parental Leave.</li><li>Flexibility: Hybrid Work Model (For most professional roles)</li><li>Training: Hands-On, Team-Customized, Mentorship</li><li>Extra Perks: Free Cab Transport Facility for all employees; One-Time Meal provided to all employees as per shift. Night shift allowances.</li></ul>#LI-DP1Stay connected by joining our <a href="https://smithnephew.wd5.myworkdayjobs.com/External/page/4ba17039009510002b17ea5e89c40000" rel="noopener noreferrer" target="_blank">Talent Community</a>.We're more than just a company - we're a community! Follow us on <a href="https://www.linkedin.com/company/smith-&amp;-nephew/" rel="noopener noreferrer" target="_blank">LinkedIn</a> to see how we support and empower our employees and patients every day.   Check us out on <a href="https://www.glassdoor.com/Overview/Working-at-Smith-and-Nephew-EI_IE10233.11,27.htm" rel="noopener noreferrer" target="_blank">Glassdoor</a> for a glimpse behind the scenes and a sneak peek into You. Unlimited., life, culture, and benefits at S+N.Explore our <a href="https://www.smith-nephew.com/en/" rel="noopener noreferrer" target="_blank">website</a> and learn more about our mission, our team, and the opportunities we offer. <h4>Experience Level</h4>Senior Level

Smith & Nephew Healthcare

Systems Analyst

Senior Manager, Data Services Data Architecture<h4>Role: Senior Manager, Data Services – Data Architecture </h4>Location: Kharadi, PuneLife Unlimited. At Smith+Nephew, we design and manufacture technology that takes the limits off living.At Smith+Nephew, we’re looking for a Senior Manager, Data Services – Data Architecture to join our diverse and collaborative Data &amp; Analytics team. In this role, you’ll lead the design and delivery of modern, scalable, and inclusive data architecture that powers our enterprise cloud data platform and enables a wide range of data, analytics, quality, and research solutions.You’ll partner closely with business and technology teams to transform our on-premise data environment, build robust data engineering and transformation frameworks, and deliver high-quality, efficient, and reliable data products using Snowflake on AWS and emerging technologies. You’ll also guide solution architects, promote agile and inclusive ways of working, and champion best practices that empower teams across the organization to drive data-driven insights and innovation.<h4>What will you be doing?</h4>Strategy: <ul><li>Actively engage and contribute to the overall data architecture strategy with specific emphases on design, development and maintenance of the data architecture, data models and standards for various data integration &amp; data warehousing projects in Snowflake, combined with other technologies.</li><li>Architect, construct and deliver Data Transformation Frameworks/Data products for complex data solutions across multiple domains, supporting the entire software development lifecycle.</li></ul>Design: <ul><li>Architect data engineering services, and develop capabilities to enable self-service analytics and insights programs</li><li>Lead, Design and develop data processing layers to incorporate data reliability, efficiency, and quality</li><li>Design Data Quality and data security processes to ensure Data Completeness, Consistency and Accuracy</li><li>Collaborate with key stakeholders to ensure data architecture alignment with key portfolio initiatives based on cost, functionality and practicality.</li><li>Recommend solutions to improve new and existing Data Warehouse and Analytics solutions.</li></ul>Execute &amp; Govern: <ul><li>Implement technical, operational, and business processes to achieve data reliability, availability, and trust</li><li>Create, publish, maintain and train data warehouse patterns across the development and architecture community in snowflake</li><li>Work with cross-functional stakeholders across the various business and technical teams to develop and execute effective data quality processes and procedures.</li><li>Provide policy, procedures and standards used by data analysts and database administrators which align with required standards</li><li>Develop Data engineer and Operation support team (DataOps team).</li></ul>Communicate &amp; Train:<ul><li>Create documentation &amp; presentations that define the current state environment and future state/capabilities for variety of data.</li><li>Participate in numerous communities of practice groups including development, data architecture, business intelligence and analytics, and project management</li><li>Drive Data performance improvement efforts and facilitate the training of devops individuals and teams</li></ul><h4>What will you need to be successful?</h4><ul><li>Bachelor’s degree in computer science, systems analysis or a related study, or equivalent experience.</li><li>Requires mastery level knowledge of job area obtained through advanced education combined with experience. May have deep knowledge of project management.</li><li>Licenses/ Certifications: Architecture certificate is preferred.</li><li>Experience: You have a 10+ years rich background in data architecture and are well versed in large Data warehouse implementations. You have worked hands-on with multiple Cloud DW, Big Data, DBT, and NoSQL technologies.</li><li>Deployed a fully operational data solution into production on Snowflake DW with technologies such as Microsoft Azure, Azure DevOps, Azure Data Factory, Azure Monitor, AWS ecosystem or equivalent.</li><li>Understand SD/SN architecture and have deep experience in Data architecture.</li><li>Built modern approaches to automating data pipelines, leveraged code repositories and continuous integration tools.</li><li>Proven hands-on experience with Snowflake utilities, SnowSQL, SnowPipe, and SlowAlert.</li><li>10 total years in data architecture, analytics, design, and development.</li><li>Data Management experience includes Data Governance, Master Data Management, Reference Data Management, and Metadata Management.</li><li>Customer-facing experience in consulting or delivery capacity, preferably in the Medical Device or similar industry.</li><li>Deliver tasks leading direct/indirect report up to 5 team members.</li><li>Agile project management methodology working experience is must.</li><li>Positive attitude and a strong commitment to delivering quality work.</li><li>Analytical and problem-solving skills with acute attention to detail.</li><li>Effective communication skills (written and verbal) to properly articulate complicated architecture design to management and other IT development partners.</li><li>Highly proficient in gaining consensus and collaboration with peers in the migration journey from current on prem to future state cloud-based technologies and architectures</li></ul>You Unlimited.We believe in crafting the greatest good for society. Our strongest investments are in our people and the patients we serve.Inclusion + Belonging: - Committed to Welcoming, Celebrating, and Thriving. Learn more about our Employee Inclusion Groups on our website (<a href="https://www.smith-nephew.com/" rel="noopener noreferrer" target="_blank">https://www.smith-nephew.com/</a>).Other reasons why you will love it here!<ul><li>Your Future: Major medical coverage + policy exclusions and insurance non-medical limit. Educational Assistance.</li><li>Work/Life Balance: Flexible Personal/Vacation Time Off, Privilege Leave, Floater Leave.</li><li>Your Wellbeing: Parents’/Parents-in-Law’s Insurance (Employer Contribution of 8,000/- annually), Employee Assistance Program, Parental Leave.</li><li>Flexibility: Hybrid Work Model (For most professional roles)</li><li>Training: Hands-On, Team-Customized, Mentorship</li><li>Extra Perks: Free Cab Transport Facility for all employees; One-Time Meal provided to all employees as per shift. Night shift allowances.</li></ul>#LI-DP1Stay connected by joining our <a href="https://smithnephew.wd5.myworkdayjobs.com/External/page/4ba17039009510002b17ea5e89c40000" rel="noopener noreferrer" target="_blank">Talent Community</a>.We're more than just a company - we're a community! Follow us on <a href="https://www.linkedin.com/company/smith-&amp;-nephew/" rel="noopener noreferrer" target="_blank">LinkedIn</a> to see how we support and empower our employees and patients every day.   Check us out on <a href="https://www.glassdoor.com/Overview/Working-at-Smith-and-Nephew-EI_IE10233.11,27.htm" rel="noopener noreferrer" target="_blank">Glassdoor</a> for a glimpse behind the scenes and a sneak peek into You. Unlimited., life, culture, and benefits at S+N.Explore our <a href="https://www.smith-nephew.com/en/" rel="noopener noreferrer" target="_blank">website</a> and learn more about our mission, our team, and the opportunities we offer. <h4>Experience Level</h4>Senior Level

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.

Oracle India Private Limited

Science Mentor

Data Scientist Senior StaffOrganization: At CommBank, we never lose sight of the role we play in other people’s financial wellbeing. Our focus is to help people and businesses move forward to progress. To make the right financial decisions and achieve their dreams, targets, and aspirations. Regardless of where you work within our organisation, your initiative, talent, ideas, and energy all contribute to the impact that we can make with our work. Together we can achieve great things.Job Title: Data Scientist, AI &amp; General Model Validation Location: BangaloreBusiness &amp; Team: Model Risk &amp; Validation team plays a critical role in safeguarding the integrity of data-driven decisions across the Group. We provide second-line assurance through rigorous oversight and challenge, ensuring every model meets internal and regulatory standards. Join us and be part of a team that’s shaping the future of risk, technology, and AI across the bank. At CBA, our Model Risk &amp; Validation team plays a critical role in safeguarding the integrity of data-driven decisions across the Group. We provide second-line assurance through rigorous oversight and challenge, ensuring every model meets internal and regulatory standards. Join us and be part of a team that’s shaping the future of risk, technology, and AI across the bank. Impact &amp; contribution:As a key member of our Model Risk &amp; Validation team, you’ll drive robust validation processes, deploy cutting-edge analytics tools, and embed robust risk management practices across our model ecosystem. You’ll work with a high-performing quantitative team, guiding them to uphold the integrity of our model risk framework while influencing the Group’s broader AI and transformation strategies.Roles &amp; Responsibilities:<ul><li>Model Validation – Apply your problem solving and critical thinking skills to assess model performance, compliance, and risks.</li><li>AI Evaluation Pipelines – Code in python or equivalent programming languages to establish evaluation pipelines for AI/Gen-AI models in a CI/CD environment.</li><li>Stakeholder Engagement – Establish strong professional relationships with model developers, business units, to ensure transparency and alignment.</li><li>Continuous Improvement – Develop and integrate AI-driven tools to enhance model development/validation quality and speed.</li></ul>Essential Skills: <ul><li>6 to 9 years of experience working with predictive modelling, Gen-AI, and/or software engineering.</li><li>Strong programming skills and experience with tools like Python, R, SQL, Spark, TensorFlow, and Py Torch; familiarity with version control (GitHub).</li><li>Ability to solve technical problems and execute validation tasks independently.</li><li>Excellent communication skills, with the ability to translate complex technical concepts for diverse audiences.</li><li>Any experience with Gen-AI techniques like RAG, prompt engineering, and/or orchestration tools (e.g., Lang Chain, Lang Graph) would be highly preferred.</li><li>Experience with platforms like AWS SageMaker, AWS Bedrock, or H2O.ai is a plus.</li></ul>Education Qualification : Bachelor’s degree or master’s degree in engineering in Computer Science/Information Technology.If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through <a href="https://sidekick.hr.cba" rel="noopener noreferrer" target="_blank">Sidekick</a> to submit a valid application. We’re keen to support you with the next step in your career.We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696.Advertising End Date: 20/11/2025<h4>Experience Level</h4>Senior Level

Commonwealth Bank of Australia

Data Operations Specialist<h4>Company Description</h4>Our MissionAt Palo Alto Networks® everything starts and ends with our mission:Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are.Who We AreWe take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included.As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few!At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work full time from our office with flexibility offered where needed. This setup fosters casual conversations, problem-solving, and trusted relationships. Our goal is to create an environment where we all win with precision.<h4>Job Description</h4>Your CareerAt Palo Alto Networks, success is driven by leveraging trusted data to inform strategic decisions across our entire Go-to-Market (GTM) engine.Our Data Operations Team, a core function within GTM Business Operations, ensures our critical sales and customer data (primarily in Salesforce.com) is governed, accurate, and reliable. We are the essential front line for data quality.As a Data Operations Specialist, you will execute the data maintenance, monitoring, and resolution needed to directly impact sales velocity, reporting accuracy, and the overall customer experience. You'll manage high-priority escalations, track data changes, and identify trends to drive continuous improvement in our systems and policies.This role reports to the Senior Manager, Sales Operations and requires extensive partnership across GTM Business Operations, Customer Support, IT, Finance, and other organizations. You ensure our teams have the trusted data foundation required to secure the future.Your ImpactYou will be instrumental in maintaining the integrity and reliability of our most critical GTM data, directly enabling faster sales cycles and accurate business forecasting. Key responsibilities include:<ul><li>Service Queue Management: Prioritize and handle a high volume of data service requests, ensuring timely, effective resolution within defined Service Level Agreements (SLAs).</li><li>Data Validation and Research: Execute complex updates to account hierarchies, deduplication, and firmographic data by meticulously researching and analyzing public and third-party data sources.</li><li>Data Standards Enforcement: Act as a critical enforcer of established data standards and policies, ensuring consistent adherence across teams to maintain peak data integrity.</li><li>Mass Data Execution: Perform necessary analysis and large-scale updates to account information, utilizing internal tools to drive measurable improvements in data accuracy.</li><li>Complex Issue Resolution: Investigate and manage escalated "corner case" issues, providing thorough root-cause analysis and documentation.</li><li>Performance Optimization: Monitor and record trends in service requests, identifying error rates and interpreting dashboard results to propose and implement process enhancements.</li><li>Cross-Functional Partnership: Collaborate closely with the broader Data Operations Team to document data standards and policies effectively.</li></ul><h4>Qualifications</h4>Your Experience <ul><li>We seek a highly organized, proactive, and independent problem-solver with 4+ years of experience, who thrives in a high-growth environment:</li><li>Mindset &amp; Approach:<ul><li>Strong passion for data accuracy and solving complex data challenges.</li><li>Highly detail-oriented with proven ability to investigate and validate data integrity.</li><li>Ability to operate independently and manage multiple tasks simultaneously.</li><li>Comfortable in a fast-paced, dynamic work environment.</li><li>Business-centric approach with experience collaborating with various functional teams.</li></ul></li><li>Communication &amp; Collaboration:<ul><li>Excellent written and verbal communication skills (English fluency required).</li><li>Proven ability to manage requestor escalations effectively.</li></ul></li><li>Technical Acumen:<ul><li>Ability to rapidly learn new tools, platforms, and business processes.</li><li>Experience with advanced Google Sheets/Spreadsheets is required.</li><li>Significant experience with Salesforce.com (SFDC) and SFDC-related tools (e.g., SOQL, ETL, Salesforce Inspector) is a major advantage</li></ul></li><li> </li></ul><h4>Additional Information</h4>The TeamOur  Strategy &amp; Operations team at Palo Alto Networks works on a set of strategic initiatives to drive process improvement projects to deliver improved efficiency and scale through simplification, automation and innovation across Sales Operations tools and processes.You will be part of a growing, passionate, and dynamic team with an opportunity to work on challenging and exciting projects – centered on what we believe is one of the most significant mission statements in the world.Our Commitment We’re problem solvers that take risks and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at  <a href="mailto:accommodations@paloaltonetworks.com">accommodations@paloaltonetworks.com</a>.Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.All your information will be kept confidential according to EEO guidelines.<h4>Experience Level</h4>Senior Level

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