527 Advanced Analytics Jobs - Page 10

Job Title - Data Science Analyst S&C GN Management Level : Analyst Location: Bangalore / Gurugram / Mumbai / Hyderabad / Chennai Must have skills: Gen AI / ML, SQL, Python, Azure / AWS, ML Ops Good to have skills: Experience in data science projects focused on Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product Job Summary : We are seeking a highly skilled and motivated Data Science Analyst to work on innovative projects and drive impactful solutions in domains such as Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product . This role requires hands-on technical expertise , and client delivery management skills to execute cutting-edge projects in Generative AI, data science, and cloud-based analytics. Key Responsibilities . 1.Data Science and Engineering Perform advanced analytics using Python, SQL, Pyspark using machine learning frameworks. Develop predictive models, recommendation systems, and optimization solutions tailored to business needs. Manage and preprocess large, complex datasets, ensuring efficient pipelines and advanced feature engineering across structured and unstructured data. Build MLOps pipelines for model training / retraining, monitoring, and scalability 2.Dashboard and Reporting Develop dashboards, reports, and insights to track the impact of deployed models on business outcomes in PowerBI/Tableau. Present results and recommendations to stakeholders, leveraging data storytelling to drive decision-making. 3.Cloud Platform Expertise Design and implement end-to-end data science workflows on cloud platforms (e.g., AWS, Azure, GCP) for business-critical projects. Leverage cloud-native tools and services (e.g., Databricks, ADF, Lambda, Glue, AzureML) for training, deploying, and monitoring machine learning models at scale. 4.Generative AI Expertise Lead the development of Generative AI based application and solutions leveraging frameworks like LangChain, LlamaIndex Drive model evaluation strategies using advanced metrics (e.g., BLEU, ROUGE, FID) and iteratively optimize performance for production-grade applications. Architect deployment solutions, including API development and seamless integration with existing systems. Required Qualifications Experience:1-5 years in data science Education:Bachelor's / masters degree in computer science, statistics, applied mathematics, or a related field. Industry Knowledge:Preferred experience in Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product Technical Skills Programming:Proficiency in Python, SQL and Pyspark. GenAI Expertise: Hands-on experience in building GenAI based applications and solutions Experience in deploying GenAI application in production. Cloud Platforms:Experience with Azure / AWS / GCP Visualization Tools:PowerBI / Tableau Preferred Skills Strong analytical and problem-solving skills with a results-oriented mindset. Good communication and stakeholder management capabilities. Very good in generating business insights and presenting to stakeholders. About Our Company | Accenture Qualification Experience: 1-5 years in data science Educational Qualification: Bachelor's / masters degree in computer science, statistics, applied mathematics, or a related field.

Skill required: Delivery - Sales Reporting Designation: I&F Decision Sci Practitioner Sr Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Within Operations, our Sales Operations Data Analytics, Reporting & Insights team is rapidly expanding. We take a bold and modern approach to sales excellencecombining deep operational expertise, cutting-edge technology, and data-driven insights to optimize sales performance and empower go-to-market teams to succeed.As the Team Lead, and a key member of the Sales Reporting, you will lead a cross-functional team of Data Analytics, Visualization, and Data Modeling experts working within the Sales Operations space. The ideal candidate brings a strong background in business intelligence, reporting, visualization and advanced analytics in sales domain. The candidate will have a proven track record in project delivery, stakeholder management, and team leadership. The candidate will adeptly balance hands-on reporting and analytics tasks, and team management. What are we looking for Sales Operations Functional Expertise:Deep understanding of end-to-end sales lifecycle processes including Sales Support, Pricing & Quoting, Bid & Proposal Management, Contract Lifecycle, Order Management, and Incentives. Sales Transformation:Proven experience in leading or supporting large-scale sales operations transformation projectspreferably for external clientswith a focus on process standardization, consolidation, and operating model redesign. Sales Analytics & Insights Sales Reporting and Visualization:Strong skills in Sales, data analysis, business intelligence, and visualization. Ability to generate actionable insights and drive decision-making. Stakeholder Management Consulting & Communication Skills Leadership & Team Development Innovative & Future-Focused Roles and Responsibilities: Ensure high-quality delivery of reports, dashboards and data models. Ensure data quality, governance, and secure access across platforms Author, review and validate dashboards, visual designs, and model outcomes. Encourage adoption of best practices in code management, versioning, and documentation. Manage, and mentor a high-performing team of SQL, Python, Power Platform, Power BI (or similar platforms) developers, and Data Analytics practitioners. Proactively lead work allocation, delivery timelines, data quality, review metrics and KPIs. Manage multiple projects and tasks while maintaining high attention to detail Provide technical and functional guidance to team members. Conduct regular performance reviews, skill development sessions, and team health checks. Collaborate with senior business leaders, stakeholders and global teams to define problem statements, solutions, KPIs, and success metrics. Serve as the client-facing SME for all analytics and visualization needs in the sales domain. Strong communication of data analytics, and visualizations through effective storytelling. Ensure proactive communication of status, updates, asks, achievements, and challenges. Qualification Any Graduation

Job Title - GN - SONG - C&S - Pricing - Consultant Management Level: 9-Team Lead/Consultant Location: Bengaluru, BDC7A Must-have skills: Pricing Models Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. You will work closely with our clients as Consulting Professionals who design, build and implement strategies that can help enhance business performance within the Pricing area. As part of the team, you will drive the following: Provide functional and implementation support for Pricing and CPQ Tools - PriceFx, CONGA, SFDC CPQ, Zilliant, PROS, Vendavo, SAP/Oracle Pricing, Callidus, infor Build robust pricing models using advanced analytics and artificial intelligence to track key pricing KPIs, build leadership dashboards in visualization tools. Work on assessing pricing processes in alignment with business imperatives and clients sales strategy through client data diagnostics and gap analysis including current state assessment and future state design, Vendor assessment and selection (PROS,VENDAVO) Work on designing and implementing pricing waterfall, pricing strategy , competitive pricing, pricing elasticity, margin analysis, pricing diagnostics, pricing catalogue, contract pricing of services, leading to positive impact on topline and bottom line for global B2B organizations Work on B2B Pricing Analytics (Exploratory Analysis & Reporting), target state analytics recommendation Work on recommending and deploying process improvements and enablers with best-in-class KPIs Work as an integral part of the clients sales organization, towards driving efficient and effective structure pricing and discounting approach. Work to facilitate involvement of key stakeholders and buy-in for change readiness. Bring your best skills forward to excel at the role: Experience working on a large-scale Business / Operational Transformation project Global exposure Proven ability to work creatively and analytically in a problem-solving environment Experience in global implementation, rollout and UAT support Deep expertise in Pricing Analytics, advanced analytics, visualization tools Structured approach to Problem solving. Excellent leadership, communication (written and oral) and interpersonal skills Comfortable working at the highest levels of client organizations and interacting closely with the C level executives in a range of environments. Desire to work in an information system environment Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Whats in it for you An opportunity to work on transformative projects with key G2000 clients Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners and, business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everythingfrom how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge and capabilities Opportunity to thrive in a culture that is committed to accelerate equality for all. Engage in boundaryless collaboration across the entire organization. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 8-10Years Educational Qualification: Any Degree

Data Scientist Purpose This position will help us discover the information hidden in vast amounts of data and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. In Cotiviti, you will solve some of the most pressing Healthcare issues with access to an expansive library of data including claims, membership and demographics. You will work on building value-oriented, production level machine learning solutions in Healthcare Technology. This position will require applying your knowledge and experience to real world problems and seek to utilize Artificial Intelligence and Machine Learning to reduce healthcare costs and improve health quality and outcomes. Job Responsibilities 1. Engage with customers to identify opportunities to integrate data/insights into decision-making 2. Understand and translate business requirements from internal and external stakeholders into data product and features 3. Processing, cleansing, and verifying the integrity of data used for analysis 4. Conduct exploratory data analysis to verify the initial hypothesis associated with potential AI/ML use cases 5. Prepare your final trained model and develop a validation test set for QA 6. Work with production operations to deploy your model and monitoring model performance 7. Apply statistical methodology to solve business problems; appropriately interprets meaning from results 8. Contribute to data product discovery by developing business case analytics, user stories, conducting exploratory analyses, and prototyping ideas / analytics 9. Prepare project documentation, and conduct end user training 10. Conduct on-demand analyses to support key internal and client-facing deliverables 11. Cultivate and share best practices in structured problem solving and quantitative/qualitative analysis 12. Complete all responsibilities as outlined on annual Performance Plan Attributes And Behaviors 1. Develops and maintains positive working relationships with others 2. Shares ideas and information 3. Assists colleagues unprompted 4. Takes pride in the achievement of team objectives 5. Has credibility with team and senior managers 6. Self-motivated driven to achieve results 7. Works with a sense of urgency 8. High customer service ethic is passionate about meeting customer expectations 9. Keeps pace with change acquires knowledge/skills as the business evolves 10. Handles confidential information with sensitivity 11. Thinks for the benefit of the organization and team 12. Demonstrates independent thinking and comes up with approaches on different aspect of work 13. Is a role model for the team 14. Is a subject matter expert of the associated domain 15. Exhibits behaviors consistent with Cotiviti Values: a. Open b. Customer Driven c. Accountable d. Collaborative Relevant Experience & Educational Requirements 1. Bachelors or Masters degree in data/analytics, computer science, engineering, economics, mathematics or statistics 2. 4+ years’ experience building and deploying Machine learning models 3. 4+ years’ experience in working in Big Data environments 4. Experience in using machine learning tools to develop production strength models including, but not limited to, Python, TensorFlow, Keras, pandas, numpy, scikit-learn 5. Experience in healthcare analytics, consulting, technology/services, product development, or other relevant role will be an advantage 6. Deep understanding of supervised and unsupervised algorithms 7. Experience extracting and transforming source data using SQL, spark, scala, hive, impala 8. Ability to package insights in highly consumable and flexible formats for a variety of audiences 9. Ability to work well independently and with cross-functional, matrixed teams in an agile environment 10. Ability to handle multiple tasks, prioritize and meet deadlines

Strategic Ownership Design and deploy advanced analytics frameworks (using Salesforce, Dynamics 365, Power BI/MS Fabric) to diagnose pipeline health, forecast accuracy, and conversion bottlenecks. Partner with Sales, Finance, Marketing and Product teams to align quota structures, territory planning, pipe generation strategies and retention programs with revenue goals. Spearhead the development of innovative solutions for automating pipeline upkeep, deal assessment, and churn prediction. Solve complex business problems with data driven approaches. Operational Excellence Build scalable sales processes and playbooks to improve rep efficiency and manager quota attainment by 25%+. Lead cross-functional initiatives to reduce sales cycle time and customer churn through data-backed process redesign. Manage data accuracy in CRM systems to provide valuable insights for C-suite collaborators. Leadership Without Authority Mentor junior analysts and act as a trusted advisor to sales leadership, translating complex data into executive-ready narratives. Foster a culture of accountability by implementing critical metrics for pipeline coverage, analysis of wins and losses, and representative performance. What You Bring Proficiency in: 10+ years in sales operations/analytics for enterprise SaaS, with proficiency in Salesforce, Power BI/Fabric, SQL, Python, and Gen AI tools. Education: BTech/BE in Engineering, Math, CS, or Statistics + MBA or equivalent experience from a tier-1 institute. Proven Impact: Portfolio of projects demonstrating pipeline optimization, forecasting accuracy, or churn reduction. Attitude: Systems thinker who flourishes in ambiguityadept at arranging intricate problems into scalable solutions. Communication: Persuasive storyteller who bridges technical depth with boardroom clarity. Success Metrics (Year 1) Increase sales manager quota attainment by 30% through enhanced forecasting models. Reduce pipeline leakage by 20% via AI-powered deal prioritization. Cut customer churn by 15% through predictive retention analytics. Design and deploy advanced analytics frameworks (using Salesforce, Dynamics 365, Power BI/MS Fabric) to diagnose pipeline health, forecast accuracy, and conversion bottlenecks. Partner with Sales, Finance, Marketing and Product teams to align quota structures, territory planning, pipe generation strategies and retention programs with revenue goals. Spearhead the development of innovative solutions for automating pipeline upkeep, deal assessment, and churn prediction. Solve complex business problems with data driven approaches. Operational Excellence Build scalable sales processes and playbooks to improve rep efficiency and manager quota attainment by 25%+. Lead cross-functional initiatives to reduce sales cycle time and customer churn through data-backed process redesign. Manage data accuracy in CRM systems to provide valuable insights for C-suite collaborators. Leadership Without Authority Mentor junior analysts and act as a trusted advisor to sales leadership, translating complex data into executive-ready narratives. Foster a culture of accountability by implementing critical metrics for pipeline coverage, analysis of wins and losses, and representative performance. What You Bring Proficiency in: 10+ years in sales operations/analytics for enterprise SaaS, with proficiency in Salesforce, Power BI/Fabric, SQL, Python, and Gen AI tools. Education: BTech/BE in Engineering, Math, CS, or Statistics + MBA or equivalent experience from a tier-1 institute. Proven Impact: Portfolio of projects demonstrating pipeline optimization, forecasting accuracy, or churn reduction. Attitude: Systems thinker who flourishes in ambiguityadept at arranging intricate problems into scalable solutions. Communication: Persuasive storyteller who bridges technical depth with boardroom clarity. Success Metrics (Year 1) Increase sales manager quota attainment by 30% through enhanced forecasting models. Reduce pipeline leakage by 20% via AI-powered deal prioritization. Cut customer churn by 15% through predictive retention analytics.

Salary: 18 to 35 LPA Exp: 6 to 13 years Location: Bangalore/Gurgaon Notice: Immediate only..!! Key Skills: SQL, Advance SQL, BI tools, ETL etc Roles and Responsibilities Extract, manipulate, and analyze large datasets from various sources such as Hive, SQL databases, and BI tools. Develop and maintain dashboards using Tableau to provide insights on banking performance, market trends, and customer behavior. Collaborate with cross-functional teams to identify key performance indicators (KPIs) and develop data visualizations to drive business decisions. Desired Candidate Profile 6-13 years of experience in Marketing Analytics or related field with expertise in Banking Analytics, Campaign Analytics, Marketing Analytics, etc. . Strong proficiency in tools like Tableau for data visualization; Advance SQL knowledge preferred. Experience working with big data technologies like Hadoop ecosystem (Hive), Spark; familiarity with Python programming language required.

We are seeking a highly skilled Advanced Analytics and Text Analytics Specialist to join our dynamic team. The ideal candidate will have extensive experience in leveraging advanced analytics techniques, utilizing Python, Tableau & SQL for data visualization, performing text analytics to derive actionable insights from unstructured data. This role requires a blend of technical expertise, analytical skills, and the ability to communicate complex findings to non-technical stakeholders. This JPID targets an Advanced Analytics specialist with practical experience in Text Analytics, Machine Learning, Python-based data analytics, Tableau visualization, and SQL query development. This is based on specific requirement for Advanced analytics

AOP team is looking for an innovative, hands-on and customer-obsessed Business Analyst for Analytics team. Candidate must be detail oriented, have superior verbal and written communication skills, strong organizational skills, excellent technical skills and should be able to juggle multiple tasks at once. Ideal candidate must be able to identify problems before they happen and implement solutions that detect and prevent outages. The candidate must be able to accurately prioritize projects, make sound judgments, work to improve the customer experience and get the right things done. This job requires you to constantly hit the ground running and have the ability to learn quickly. Primary responsibilities include defining the problem and building analytical frameworks to help the operations to streamline the process, identifying gaps in the existing process by analyzing data and liaising with relevant team(s) to plug it and analyzing data and metrics and sharing update with the internal teams. 1) Apply multi-domain/process expertise in day to day activities and own end to end roadmap. 2) Translate complex or ambiguous business problem statements into analysis requirements and maintain high bar throughout the execution. 3) Define analytical approach; review and vet analytical approach with stakeholders. 4) Proactively and independently work with stakeholders to construct use cases and associated standardized outputs 5) Scale data processes and reports; write queries that clients can update themselves; lead work with data engineering for full-scale automation 6) Have a working knowledge of the data available or needed by the wider business for more complex or comparative analysis 7) Work with a variety of data sources and Pull data using efficient query development that requires less post processing (e.g., Window functions, virt usage) 8) When needed, pull data from multiple similar sources to triangulate on data fidelity 9) Actively manage the timeline and deliverables of projects, focusing on interactions in the team 10) Provide program communications to stakeholders 11) Communicate roadblocks to stakeholders and propose solutions 12) Represent team on medium-size analytical projects in own organization and effectively communicate across teams A day in the life 1) Solve ambiguous analyses with less well-defined inputs and outputs; drive to the heart of the problem and identify root causes 2) Have the capability to handle large data sets in analysis through the use of additional tools 3) Derive recommendations from analysis that significantly impact a department, create new processes, or change existing processes 4) Understand the basics of test and control comparison; may provide insights through basic statistical measures such as hypothesis testing 5) Identify and implement optimal communication mechanisms based on the data set and the stakeholders involved 6) Communicate complex analytical insights and business implications effectively About the team AOP (Analytics Operations and Programs) team is missioned to standardize BI and analytics capabilities, and reduce repeat analytics/reporting/BI workload for operations across IN, AU, BR, MX, SG, AE, EG, SA marketplace. AOP is responsible to provide visibility on operations performance and implement programs to improve network efficiency and defect reduction. The team has a diverse mix of strong engineers, Analysts and Scientists who champion customer obsession. We enable operations to make data-driven decisions through developing near real-time dashboards, self-serve dive-deep capabilities and building advanced analytics capabilities. We identify and implement data-driven metric improvement programs in collaboration (co-owning) with Operations teams. 2+ years of tax, finance or a related analytical field experience Experience defining requirements and using data and metrics to draw business insights Experience with SQL or ETL Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages Experience with data modeling, warehousing and building ETL pipelines Experience working with Tableau Experience using very large datasets

Amazon Transportation team is looking for an innovative, hands-on and customer-obsessed Business Analyst for Analytics team. Candidate must be detail oriented, have superior verbal and written communication skills, strong organizational skills, excellent technical skills and should be able to juggle multiple tasks at once. Ideal candidate must be able to identify problems before they happen and implement solutions that detect and prevent outages. The candidate must be able to accurately prioritize projects, make sound judgments, work to improve the customer experience and get the right things done. This job requires you to constantly hit the ground running and have the ability to learn quickly. Primary responsibilities include defining the problem and building analytical frameworks to help the operations to streamline the process, identifying gaps in the existing process by analyzing data and liaising with relevant team(s) to plug it and analyzing data and metrics and sharing update with the internal teams. 1) Apply multi-domain/process expertise in day to day activities and own end to end roadmap. 2) Translate complex or ambiguous business problem statements into analysis requirements and maintain high bar throughout the execution. 3) Define analytical approach; review and vet analytical approach with stakeholders. 4) Proactively and independently work with stakeholders to construct use cases and associated standardized outputs 5) Scale data processes and reports; write queries that clients can update themselves; lead work with data engineering for full-scale automation 6) Have a working knowledge of the data available or needed by the wider business for more complex or comparative analysis 7) Work with a variety of data sources and Pull data using efficient query development that requires less post processing (e.g., Window functions, virt usage) 8) When needed, pull data from multiple similar sources to triangulate on data fidelity 9) Actively manage the timeline and deliverables of projects, focusing on interactions in the team 10) Provide program communications to stakeholders 11) Communicate roadblocks to stakeholders and propose solutions 12) Represent team on medium-size analytical projects in own organization and effectively communicate across teams A day in the life 1) Solve ambiguous analyses with less well-defined inputs and outputs; drive to the heart of the problem and identify root causes 2) Have the capability to handle large data sets in analysis through the use of additional tools 3) Derive recommendations from analysis that significantly impact a department, create new processes, or change existing processes 4) Understand the basics of test and control comparison; may provide insights through basic statistical measures such as hypothesis testing 5) Identify and implement optimal communication mechanisms based on the data set and the stakeholders involved 6) Communicate complex analytical insights and business implications effectively About the team AOP (Analytics Operations and Programs) team is missioned to standardize BI and analytics capabilities, and reduce repeat analytics/reporting/BI workload for operations across IN, AU, BR, MX, SG, AE, EG, SA marketplace. AOP is responsible to provide visibility on operations performance and implement programs to improve network efficiency and defect reduction. The team has a diverse mix of strong engineers, Analysts and Scientists who champion customer obsession. We enable operations to make data-driven decisions through developing near real-time dashboards, self-serve dive-deep capabilities and building advanced analytics capabilities. We identify and implement data-driven metric improvement programs in collaboration (co-owning) with Operations teams. 1+ years of tax, finance or a related analytical field experience 2+ years of complex Excel VBA macros writing experience Bachelors degree or equivalent Experience defining requirements and using data and metrics to draw business insights Experience with SQL or ETL Experience working with Tableau Experience using very large datasets

Job Description WHAT YOU LL DO Are you passionate about transforming data into insights that drive real business decisions? Join our team as a Data Analyst and help shape the future of fashion through data-driven innovation. As a Data Analyst, your primary focus is developing high-quality analyses that meet our business needs and technological standards. You possess a solid technical foundation, problem-solving aptitude, and a passion for contributing to a collaborative team environment. Responsibilities Main focus is the data analyst scope of the product/program/team where you are expected to contribute to the short- and long-term agenda. Data discovery, building data products, testing and evaluating model outputs, in collaboration closely with other roles in the product/team, i.e., DS, DE, Business Expert, and Business teams. Solving complex problems by turning vast amounts of data into business insights through advanced analytics and effectively communicating findings to a variety of stakeholders. Framing the problem together with stakeholders, exploring large data sets; preparing data for own analysis. Creating and maintaining documentation related to your work to ensure that stakeholders have the necessary information to understand the data & analysis input/outputs. Sharing knowledge in Communities of Practice, thereby enriching the collective understanding and fostering a culture of continuous learning. WHO YOU LL WORK WITH What is Production ? Its the place where design ideas are transformed into actual products. We are in over 20 sourcing markets and are the direct point of contact for local suppliers. We work to ensure our products are of good quality and produced at the best price and in a sustainable way. WHO YOU ARE You re curious, analytical, and love solving problems with data. You enjoy working in a fast-paced environment and turning complexity into clarity. Degree or relevant experience in Statistics, Engineering, Business, or a related field Proficient in SQL; experience with Python/R is a plus Proficient in Excel and experience in BigQuery. Previous knowledge of the GCP ecosystem is and advantage. Skilled in data visualization (e.g., Power BI) and statistical analysis Strong communication and teamwork skills To be succeed in this role, you are expected: A problem-solving mindset with the ability to turn complex business questions into data-driven solutions A strong sense of ownership and the ability to work independently A passion for business and a deep understanding of how data impacts decision-making The ability to communicate insights clearly to both technical and non-technical audiences A collaborative spirit and a drive to continuously improve and innovate WHO WE ARE H&M Group is a global company of strong fashion brands and ventures. Our goal is to prove that there is no compromise between exceptional design, affordable prices, and sustainable solutions. We want to liberate fashion for the many, and our customers are at the heart of every decision we make. We are made up of thousands of passionate and talented colleagues united by our shared culture and values. Together, we want to use our power, our scale, and our knowledge to push the fashion industry towards a more inclusive and sustainable future. WHY YOU LL LOVE WORKING HERE At H&M Group, we are proud to be a vibrant and welcoming company. We offer our employees attractive benefits with extensive development opportunities around the globe. Enjoy perks like staff discount cards, flexible work arrangements, wellness benefits, parental support, and more. Here, you are encouraged to be yourself, experiment, and chart your own growth path. As you flourish, so do we, with opportunities to create tangible impacts and shape the future. JOIN US Our uniqueness comes from a combination of many things - our inclusive and collaborative culture, our strong values, and opportunities for growth. But most of all, it s our people who make us who we are. This is a full-time position, starting as soon as possible according to agreement. The role is an on-site position, based in our office in Bangalore. Please apply by sending in your CV in English as soon as possible. Take the next step in your career together with us. The journey starts here. *We are committed to a recruitment process that is fair, equitable, and based on competency. We therefore kindly ask you to not attach a cover letter in your application.

The Advanced Analytics team drives Credit Risk solutions and products that are globally scalable and provide value to the various parts of the credit lifecycle value chain. Developing relevant solutions that solve our customer s credit risk problems while leveraging Mastercard assets is a key differentiator to grow revenue for our retail and commercial clients. To this end, developing and managing a suite of product solutions through internal and external partnerships, creative constructs, solid frameworks, and executable roadmaps are crucial drivers for commercialization and business impact. Role: Find new product opportunities to grow the Small Business Credit Risk portfolio and enhance the GTM of current product sets Interpret and apply program vision and strategy to product strategy and roadmap for the Products they manage, clearly communicating it to key stakeholders on an ongoing basis Leverage the Mastercard product management framework to manage the delivery of ongoing innovation and enhancements to focus Products Demonstrate depth of knowledge of their Product and the ecosystem in which it operates (eg regulatory, legal, technology, competitive environment). Apply this knowledge to the development of winning Product strategies Demonstrate awareness of Mastercards broader Product offering and the ability to leverage Products from other business areas to augment Product capabilities Leverage data to quickly identify Product performance challenges, creating proactive plans to drive usage and revenues. Use data-driven analysis to prioritize resources to deliver against the plan Demonstrate a commitment to continuous learning by leveraging the learning & development curriculum to augment existing knowledge, skills and experiences All about you: Understanding of credit risk and Mastercard s larger product ecosystem, current market pain points, opportunities and emerging technologies and trends Exhibit ownership, agility, and a strong entrepreneurial mindset, taking initiative and driving results in a fast-paced, evolving market. Experience conducting market research, interviewing customer and testing new product concepts Have a creative mindset with the ability to craft and deliver compelling product value propositions, narratives and storytelling that resonate with diverse audiences. Ability to interact with varying levels of leadership across the organization and with internal and external clients; ability to lead and influence at all levels

About Us: Maersk is a global leader in integrated logistics and have been industry pioneers for over a century. Through innovation and transformation we are redefining the boundaries of possibility, continuously setting new standards for efficiency, sustainability, and excellence. At Maersk, we believe in the power of diversity, collaboration, and continuous learning and we work hard to ensure that the people in our organisation reflect and understand the customers we exist to serve. With over 100,000 employees across 130 countries, we work together to shape the future of global trade and logistics. Join us as we harness cutting-edge technologies and unlock opportunities on a global scale. Together, let's sail towards a brighter, more sustainable future with Maersk. About the role: At Maersk, we are dedicated to decarbonizing our customers supply chains as a global leader in container logistics. To further our efforts in reducing emissions within our operations, we are seeking an Advanced Analytics Specialist”. This role will involve close collaboration with teams across Maersk to ensure compliance reporting and emission optimization, in compliance with both local and global regulations applicable to regulatory and voluntary markets. We are looking for: To be successful in this position you need to be; self-driven, motivated to take initiative and by working in a high complexity environment with many stakeholders. You can keep the high-level perspective in mind in a challenging situation and consider the long-term impact of a given decision. You have good communication and presentation skills in English. Experience: 4 to 6 Years - Relevant experience Location: Mumbai Must-Have Technical Skills: Power BI : Advanced level Should be able to develop dashboards Able to build complex, custom dashboards Strong analytical mindset and attention to detail Hands-on experience in SQL or Python or R (flexible on the language/tool, logic is key) Nice-to-Have / Good-to-Have: Exposure to maritime or transportation/supply chain domain Past projects involving compliance , cost optimization , or sustainability/environmental regulations Educational background in maritime , engineering , or supply chain/logistics Experience with machine learning model application (not building, just using available models inside tools like Power BI) Soft Skills & Personality Traits: Should be able to challenge the status quo Critical thinker – not afraid to question “why are we doing it this way?” Proactive and not just an executor You have: Relevant data analytics experience in Maritime or logistics, with an educational background in Maritime, Supply Chain Management, or Sustainability/Environmental Science. Proficiency in Power BI at intermediate to advanced levels. Strong analytical skills with close attention to detail, ability to research and resolve complex issues using latest analytical tools. Ability to understand and communicate complex concepts to internal / external stakeholders. Experience in evaluating and applying the Machine Learning models to solve the problem will be an added advantage Ability to manage multiple priorities in fast paced environment. Passion to make a difference in the field of climate change and sustainability You will: Drive or act in key roles in complex cross functional projects related to building a strong emissions data foundation in collaboration with our product delivery platform teams. Review and use analytical calculations on reported energy performance data, particularly for compliance and customer reporting, to determine the accurate emissions performance of business units within Maersk. Provide key stakeholders across Maersk with fact-based analytical insights and actionable recommendations to improve emissions performance. Solve complex problems independently and collaboratively with minimal guidance. Use domain knowledge and analytics to create innovative products for reducing emissions and optimizing fuel in Maersk operations.

Exp in SAS, SQL and large amounts of data US Stakeholder exp Exp of acquisition/account management credit risk models, transactional fraud models, marketing models, collections models, finance models, loss models, Loss forecasting (PD/LGD/EAD/CECL) Required Candidate profile SAS SQL Python Credit risk Credit Card Statistical Modelling Predictive Modelling

Summary -Provide analytics support to Novartis internal customers (CPOs & Regional marketing and sales teams) on various low-medium complexity analytical reports. -Support and facilitate data enabled decision making for Novartis internal customers by providing and communicating qualitative and quantitative analytics. -Support GBS -GCO business in building practice by involving in various initiatives like knowledge sharing, on-boarding and training support, support team lead in all business related tasks / activities, building process documentation and knowledge repositories -To be an integral part of a comprehensive design team responsible for designing promotional marketing materials. About the Role Job Description Key Responsibility: Solid understanding of multiple datasets (e. g. LAAD, Xponent, DDD) and managing and coordinating data sets from databases to find patterns and trends. Redefining these complex and granular data into actionable insights. Responsible for standard and ad-hoc extracts/reports across multiple primary and secondary data sources. Responsible for tracking ongoing outcomes reports and manage priorities for upcoming reports. Sharing findings with partners with reports and presentations on a timely basis. Putting together specifications to extract/transform data into required formats for different analytical elements using programming languages like SQL or other data processing tools. Build the foundation for more sophisticated approaches to APLD analysis and advanced analytics wherever it is required and beneficial. Establish and maintain positive relationships with key functional partners. Essential Requirements : - Ability to work independently and as an integral member of the team and Attention to detail and quality focused, good interpersonal and communication skills, influence, negotiation and tact skills, innovative, and collaborative behaviors and can-do orientation. - Curiosity and strong analytical thinking, verbal and written communication skills and exposure to working in multifunctional/cultural environment. - Good communication and interpersonal skills. Conceptual, analytical & tactical thinking, strategic thought process. - Ability to multi-task, work in a demanding distributed team environment, work under tight deadlines. Develop and maintain strong individual performance. Desirable Requirements : - Masters or Bachelor s in STEM - At least 1+ years of experience in data modeling and reporting solutions development and hands-on experience of APLD and US national and subnational datasets and ability to lead teams functionally. - Technical abilities: Excel, SQL or Dataiku, and PowerPoint is vital. Knowledge of statistical modeling or ML is a plus. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients lives. Ready to create a brighter future together? https://www. novartis. com / about / strategy / people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork. novartis. com/network Benefits and Rewards: Read our handbook to learn about all the ways we ll help you thrive personally and professionally:

Description Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 4 million Hosts who have welcomed more than 1 billion guest arrivals in almost every country across the globe. Every day, Hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Analytics Centre of Excellence (ACOE) at Airbnb, based in India, is a hub of knowledge and expertise that aims to provide data-driven decision-making, enabling Airbnb's business goals. The ACOE's vision is to build a world-class analytics organization that provides scalable analytics. We work with various business functions such as payments, trust, digital, customer support, hosting, sales, social, compliance, risk, platforms and partnership & economics. The ACOE's delivery framework is designed to provide relevant and contextual insights for data-driven decisions. This includes a one-stop solution for metrics, dashboards driving actionable insights, optimization of performance, measuring pre/post feature impact, sizing the ROI of opportunities, prioritization of opportunities, anomaly-driven alerting mechanisms, root cause analysis of metric deviation, and exploratory hypothesis testing. The Community You Will Join: We are looking for a Lead Business Analyst, Insights in our Analytics Centre of Excellence who works in the Hotels team. The analyst must have functional expertise in building analytical solutions and be a trusted partner to our product teams and business leaders, operations team through providing insights, recommendations, and enabling data driven decisions. This role is a part of the Hotels team, which includes HotelTonight. We are a fun, entrepreneurial team where you can have an outsized impact. Simplicity is at the core of our products. We pride ourselves on delivering the smoothest and most intuitive hotel booking experience for guests. HotelTonight, an Airbnb company, provides guests great hotels at amazing prices by helping hotel partners sell unsold inventory. The Difference You Will Make: Business Analyst will help set up a team at Airbnb with a focus on building a functional vision and championing the use of data in making key business decisions. A Typical Day: Build and update dashboards in Tableau and Looker to drive actionable insights and self-service for stakeholders. Acts as a consolidation point for all Supply related data analysis needs and data integrity issues. Investigates data quality issues reported by business and finds solutions/fixes Collaborates with data engineering and data science to investigate such data issues Interfaces with data engineering to drive prioritization and accountability of data needs. Build a case for necessary resources within data engineering to support Supply data needs. Ensures data quality and data integrity to manage Supply data assets to be analysis ready. Automate routine reporting to dashboards with advanced filtering and deep dive capabilities. Establish standards for metadata/ taxonomy, metrics, query, reports and scorecards. Creates specifications and generates reports and analysis mapping to business needs. Provide consultation and lead cross-functional teams to address business issues. Directly produce datasets and reports for analysis using databases and reporting tools. Push for continuous improvement when it comes to best in class data visualization. Ad-hoc reporting and analysis to support key Supply initiatives. Provide actionable data-driven recommendations to stakeholders’ business questions Stakeholder management: Develop measurement strategies and reporting of key business metrics for multiple audiences including senior leadership Collaborate with leaders and managers to determine and address data and reporting needs for various company projects Enable the function as an analytics consultant: Determine the meaning of data and explain how various teams and leaders can leverage it to improve and streamline their processes Prepare reports/dashboards/build actionable insights: Create, maintain, and communicate detailed reporting models to assist regional and global operations, managers Independently work on deep insightful analysis and advanced analytics Provide solutions to business problems through quick ad-hocs analysis with deep insights Provide robust analytical solutions through advanced/statistical analysis Your Expertise: A minimum of 8 years of overall experience. Graduate in Economics, Business, Engineering, or other quantitative focus. Expertise with Tableau with minimum 2 years experience in building enterprise level dashboards. Excellent SQL skills and expertise in Microsoft Excel and various business intelligence and analytical tools and comfortable using Git and Python Expert with using Google Suite i.e. Google Sheets, Google Slides. Passion for Data Visualization and driving user adoption of dashboards. Exposure/ expertise in Snowflake database and LookML Design and build data pipelines to automate flow of data from various sources to power dashboards and critical analyses Impeccable attention and commitment to creating clean reproducible code. Strong analytical capabilities & logic driven mindset. Understanding of data gathering, inspecting, cleansing, transforming, and modeling / diagramming techniques. Experience with data mining and cleaning, exploratory analysis, visualizations and metrics creation Rich experience in insightful data analytics and good knowledge of statistical analytics like random forest regression / variable importance determination Excellent time management skills and ability to prioritize work. Flexibility to adapt to changing requirements to meet stakeholder needs. Our Commitment To Inclusion & Belonging : Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. Hybrid Work Requirements & Expectations: To support productivity and maintain a professional hybrid work environment, employees are expected to adhere to the following: Workspace : A dedicated, quiet, and private workspace free from interruptions and external noise Internet Connectivity : During the working hours, maintain a minimum and consistent internet speed of 10 Mbps on your official devices to ensure reliability for work-related tasks, including calls and virtual meetings Professionalism: Employees must remain fully engaged, respectful, and maintain a professional presence during virtual meetings, with video participation required unless otherwise approved. Confidentiality & Security: Employees are responsible for protecting Airbnb’s Intellectual Property and Confidential Information. Work-related activities, including calls and meetings, must not be conducted in public places, while traveling, or in any setting that may compromise confidentiality or work quality.

Exp with Spark, Flask, SQL, Python, Cloud platform, Machine Learning, Deep Learning & Engineering aspects of ML model deployment, data analysis, mathematics/probability, & statistical analysis. Mail us- info@a1selectors.com

Team Leadership: Provide leadership and guidance to the team, setting clear objectives, and ensuring that team members understand their roles and responsibilities. Goal Setting: Collaborate with senior management to establish team objectives and key performance indicators (KPIs) aligned with the organization's overall goals. Task Delegation: Assign tasks and projects to team members based on their skills, experience, and workload, while ensuring a fair distribution of responsibilities. Performance Management: Monitor team performance and provide regular feedback, coaching, and mentoring to help team members achieve their targets and improve their skills. Conflict Resolution: Address and resolve conflicts and interpersonal issues within the team to maintain a harmonious working environment. Resource Management: Manage team resources, budgets, and timelines effectively to ensure efficient project delivery.

Name of the position: BI Engineer Location: Remote No. of resources needed: 01 Mode: Contract Years of experience: 5-7 Years Shift: UK shift Overview : We are looking for a BI Engineer with 5-7 years of experience to support data-driven decision-making in a dynamic retail environment. This role will focus on designing efficient data pipelines, enabling business insights through advanced analytics, and delivering impactful dashboards using Domo . Responsibilities: Design and maintain scalable data pipelines using AWS Glue and Redshift. Integrate retail data sources into Azure SQL Server and manage data flows for reporting. Develop and optimize SQL queries to support business metrics and KPIs. Build interactive and self-service dashboards in Domo for merchandising, sales, and supply chain teams. Collaborate with business and data teams to gather requirements and translate them into data models and visualizations. Ensure data accuracy, integrity, and performance across all BI solutions. Key Skills: AWS Redshift & Glue Azure SQL Server Retail data ingestion & transformation Advanced SQL (performance tuning, complex joins) Domo (card building, ETL, storytelling)

Join us as a Data & Analytics Analyst This is an opportunity to take on a purpose-led role in a cutting edge Data & Analytics team You ll be consulting with our stakeholders to understand their needs and identify suitable data and analytics solutions to meet them along with business challenges in line with our purpose You ll bring advanced analytics to life through visualisation to tell powerful stories and influence important decisions for key stakeholders, giving you excellent recognition for your work Were offering this role at associate vice president level What youll do As a Data & Analytics Analyst, you ll be driving the use of advanced analytics in your team to develop business solutions which increase the understanding of our business, including its customers, processes, channels and products. You ll be working closely with business stakeholders to define detailed, often complex and ambiguous business problems or opportunities which can be supported through advanced analytics, making sure that new and existing processes are designed to be efficient, simple and automated where possible. As well as this, you ll be: Leading and coaching your colleagues to plan and deliver strategic project and scrum outcomes Planning and delivering data and analytics resource, expertise and solutions, which brings commercial and customer value to business challenges Communicating data and analytics opportunities and bringing them to life in a way that business stakeholders can understand and engage with Adopting and embedding new tools, technologies and methodologies to carry out advanced analytics Developing strong stakeholder relationships to bring together advanced analytics, data science and data engineering work that is easily understandable and links back clearly to our business needs The skills youll need We re looking for someone with a passion for data and analytics together with knowledge of data architecture, key tooling and relevant coding languages. Along with advanced analytics knowledge, you ll bring an ability to simplify data into clear data visualisations and compelling insight using appropriate systems and tooling . You ll also demonstrate: Strong knowledge of data management practices and principles Experience of translating data and insights for key stakeholders Good knowledge of data engineering, data science and decisioning disciplines Data Analysis skills to identify Control gaps and measuring data quality against the standards. Automation and dashboarding of Data Quality metrics Practical knowledge of implementing Data Quality tools, Working experience in SQLs and Data Cloud environment Good understanding of Risk and Controls Frameworks Candidates must possess 8-10 years of experience Hours 45 Job Posting Closing Date: 15/07/2025

Relevant experience required (in years) 6+ years of total exp with minimum 3 years as an Analytics Engineer or in a similar role . Your department As Analytics Engineer within the Enabling Functions department of Vanderlande you support Finance, HR, and IT by delivering robust, scalable, and future-ready data solutions. Our mission is to empower these departments with high-quality, governed data products that drive operational excellence and strategic decision-making. At the core of our work is the Vanderlande Data Platform, a cloud-native solution built on Azure and aligned with Data Mesh principles. This platform enables us to ingest, transform, and enrich data from diverse source systems, creating trusted, reusable data assets tailored to the needs of our Enabling Functions stakeholders. At the heart of our efforts lies the Data Platform, the core product we are diligently enhancing. This Azure cloud enabled platform based on the Data Mesh principle empowers us to deliver valuable Data Products by transforming, processing, combining, and enriching data from various source systems, ultimately creating a reliable source of truth for our customers. By utilizing advanced analytics techniques and the latest technology, our focus on innovation empowers us to continuously improve and innovate. Operating as a scaled Agile organization, we embrace the SAFe Agile framework and work collaboratively across different teams, all united by a common backlog and shared roadmap. This approach allows us to be highly adaptable, continuously adjusting to the evolving strategic needs of stakeholders within Vanderlande. Responsibilities As an Analytics Engineer at Vanderlande youll be at the forefront of driving data-driven solutions and shaping the future of our organization by working on the data platform. Your key responsibilities will involve translating business needs into functional requirements, designing and developing data products, pipelines, and reports, and analyzing data to solve use cases resulting in optimized business processes and fact-based decision-making. As being part of a cross functional full-stack team, together with your colleagues you are responsible for the creation and delivery of an end-to-end solution to our business stakeholders. In this role, you are a tech-savvy, action-oriented, and collaborative colleague who can wear multiple hats - part Data Engineer, - part Data Analyst and even though you have an area of expertise, you can fulfil each of those roles up to a certain point. On a day-to-day basis, you will focus on creating and maintaining data products, data pipelines using Python, PySpark and SQL, and dashboards using tools like Qlik, or Power BI. Working in an Agile environment, proactively contributes to scrum events ensuring seamless coordination with the team and swift adaptability to changing priorities. They thrive in a fast-paced, iterative development environment, where constant feedback and continuous improvement are key. In this role, you Translate business needs into functional requirements providing essential information on business use cases. Translate functional requirements into thorough and feasible data products, analytics solutions and dynamic dashboards; Utilize Python, PySpark, SQL, or R for data retrieval and manipulation. Develop, test, and maintain data products, pipelines by the use of the Azure stack and Databricks, ensuring data reliability and quality. Design and implement architectures for efficient data extraction and transformation. Work on creating and maintaining landing zones in the data platform. Actively participate in and contribute to Continuous Integration and Continuous Deployment (CI/CD) practices, ensuring smooth and efficient development and deployment processes within the data platform Integrate data pipelines and reports into testing frameworks, allowing for rigorous performance testing and validation to ensure seamless performance. Monitor and maintain data pipeline stability, offering support when required. Analyze, interpret, and visualize data to drive business process optimization and fact-based decision-making. Create, deploy, and maintain interactive dashboards and visualizations using Qlik or Power BI. Perform a comprehensive analysis and proactively implement solutions to assess and enhance data quality and data reliability. You are eager to improve yourself and strive for continuous enhancement of processes and development of our data products. Stay updated with the latest developments in the analytics field and share knowledge with the team. Your Qualification and Skills: If youre an experienced, enthusiastic and versatile Analytics Engineer, you will bring: Minimum bachelors degree in Computer Science, Information Technology, or a related field (or equivalent experience). 6+ yrs of total exp with min 3 years of prior experience working as an Analytics Engineer or in a similar role . Ability to work effectively as part of a cross-functional international full stack team, collaborating with other developers, and stakeholders. Experience in writing code in Python, PySpark, SQL, or R for data retrieval and manipulation is a strong preference. Demonstrated experience and proficiency in working with Azure Stack and Databricks is required for this role. Proficiency or interest in using DevOps practices and tools for continuous integration, continuous delivery (CI/CD), and automated deployment of data products and data pipelines Strong communication skills to effectively convey complex technical concepts in a clear and understandable manner to both technical and non-technical stakeholders. Enthusiastic, proactive, driven, and actively seeking opportunities for personal development and growth. Demonstrated curiosity and commitment to staying updated with the latest trends, tools, and best practices in the data & analytics field. Familiar with agile methodologies and thrives in its dynamic and collaborative environment. Knowledge of visualization tools like Power BI or Qlik is plus.

Xylem is a Fortune 500 global water solutions company dedicated to advancing sustainable impact and empowering the people who make water work every day. As a leading water technology company with 23,000 employees operating in over 150 countries, Xylem is at the forefront of addressing the worlds most critical water challenges. We invite passionate individuals to join our team, dedicated to exceeding customer expectations through innovative and sustainable solutions. Required: Core java with good problem solving skills Java Design patterns Multi threading knowledge Mongo db Unit Test writing AWS knowledge - S3, SQS Terraform knowledge Bitbucket, Sonar Cloud Limited Spring framework, Spring boot knowledge Front end: Basic Angular TS, JS and JQuery Desired: Sumologic Datadog Eligibility: Minimum qualification: B.Tech or equivalent degree 1 to 4 years of relevant industry experience Location: Chennai

Exp: 7 to 15 years Location: Only Gurgaon Notice: Immediate only..!! Key Skills: SQL, Advance SQL, BI tools etc. Role and Responsibilities: - Primary day-to-day client contacts and often interact with C-level executives. - Is primary client day-to-day contact & ensures client needs are well understood, defined & met - Serves as the primary interface between senior client management and senior leadership (VPs and SVPs) - Interacts regularly with clients to understand business requirements, define analytical problems, structure and communicate solutions and ensure client satisfaction with strong business driving results - Manages / leads 1-2 engagement/ projects with different team structures and service delivery models. Responsible for driving revenue generating from these accounts - Leads project teams of 3-6 consultants or more, and/ or Team Lead and Analysts in all aspects of project execution - Plays critical role in defining the problem, structuring the solution, and executing against it - Clearly defines project deliverables, timelines and methodology laying out the project plan - Owns the execution of the project, with on time delivery every time, ensuring all project goals are met - Manages team members, including definition of objectives, oversight of execution and evaluation of performance - Provides thought leadership and delivers business insights to identify and resolve complex issues critical to their clients' success - Candidate Profile: - 7+ years of experience comprising analytics service delivery, consulting, solution design and client management - Experience and strong knowledge of the analytics service industry with focus on B2C & Omni-channel retail across customer lifecycle and customer journey - Demonstrable leadership ability, superior problem solving and people management skills - Excellent listening, written communication and presentation skills - Experience / exposure to marketing, operations, sales, merchandizing and supply chain, retail strategy, project management, cost reduction, and business development for Retail and Media organizations - Master's degree in management, data science, economics, mathematics, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply

3+ Years in Python development (using PEP 8 guidelines) and Data Management with basic exposure to Advance analytics. Tools and Technologies – Experience in Python development with exposure to RDBMS & NoSQL document DB.

About the Role: Grade Level (for internal use): 10 The Team The Capital IQ Solutions Data Science team supports the S&P Capital IQ Pro platform with innovative Data Science and Machine Learning solutions, utilizing the most advanced NLP Generative AI models. This role presents a unique opportunity for hands-on ML/NLP/Gen AI/LLM scientists and engineers to advance to the next step in their career journey and apply their technical expertise in NLP, deep learning, Gen AI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research in LLMs, Gen AI, and related areas. Responsibilities and Impact Design solutions utilizing NLP models including chat assistants and RAG systems. Design and develop custom NLP LLM Models including both prompt engineering techniques and model fine-tunning and alignment (SFT, RLHF, DPO) NLP Model evaluation using both human-supported and synthetic evaluation methods and metrics. Deploy NLP models ensuring latency, reliability, and scalability. Discover new methods for prompt engineering, model fine-tuning, quantization and latency optimization, document embeddings and chunking. Collaborate closely with product teams, business stakeholders, and engineers to ensure smooth integration of NLP models into production systems. Troubleshoot complex issues related to machine learning model development and data pipelines and develop innovative solutions. Actively research, explore and identify the latest relevant methods and technologies What Were Looking For : Basic Required Qualifications : Degree in Computer Science, Mathematics or Statistics, Computational linguistics, Engineering, or a related field. Good understanding ofmachine learning and deeplearningmethods and their mathematical foundations 5-8 years of professional experience in Advanced Analytics / Data Science / Machine Learning 5-8 years hands-on experience developing NLP models, ideally with transformer architectures. Demonstrated experience with Python, PyTorch, Hugging Face or similar tools. Mastery of Python and ability to write robust and high standard, testable code Knowledge of developing or tuning LLMS Additional Preferred Qualifications 3+ years of experience with implementing information retrieval systems. Experience with contributing to Open Source initiatives or in research projects and/or participation in Kaggle competitions. Publications related to Machine Learning or Deep Learning Ability to work in a team Able to report progress and summarize issues to a less technical audience Curious and open-minded attitude to new approaches About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, andmake decisions with conviction.For more information, visit www.spglobal.com/marketintelligence . Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- , SWP Priority Ratings - (Strategic Workforce Planning)

Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own. We have a flexible work environment, and fluid career paths. We not only encourage but celebrate internal mobility. We also recognize the importance of purpose, well-being, and work-life balance. Within Empower and our communities, we work hard to create a welcoming and inclusive environment, and our associates dedicate thousands of hours to volunteering for causes that matter most to them. Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself. Job Summary: At Empower, a Sr. Architect is a mix of leadership position and thought leadership role. A Sr. Architect works with enterprise architects, and both business and IT teams, to align solutions to the technology vision they help create. This role supports enterprise Architects in the development of technology strategies, reference architectures, solutions, best practices and guidance across the entire IT development organization; all the while addressing total cost of ownership, stability, performance and efficiency. The candidate will also be working with Empower Innovation Lab team as the team is experimenting with emerging technologies, such as Generative AI, and Advanced Analytics. In this rapid paced environment, the person must possess a "can-do" attitude while demonstrating a strong work ethic. This person should have a strong aptitude to help drive decisions. He or she will be actively involved in influencing the strategic direction of technology at Empower Retirement. There will be collaboration across all teams including IT Infrastructure, PMO office, Business, and third-party integrators in reviewing, evaluating, designing and implementing solutions. The Architect must understand available technology options and educate and influence technology teams to leverage them where appropriate. The Architect will recognize and propose alternatives, make recommendations, and describe any necessary trade-offs. In some cases, particularly on key initiatives, the Architect will participate on the design and implementation of end-to-end solutions directly with development teams. The ideal candidate will leverage their technical leadership/direction-setting skills with the development organization to be able to prove technical concepts quickly using a variety of tools, methods, & frameworks. Responsibilities: Help Enterprise Architect, work with peer Sr. Architects and more junior resources to define and execute on the business aligned IT strategy and vision. Develop, document, and provide input into the technology roadmap for Empower. Create reference architectures that demonstrate an understanding of technology components and the relationships between them. Design and modernize complex systems into cloud compatible or cloud native applications where applicable. Create strategies and designs for migrating applications to cloud systems. Participate in the evaluation of new applications, technical options, challenge the status quo, create solid business cases, and influence direction while establishing partnerships with key constituencies. Implement best practices, standards & guidance, then subsequently provide coaching of technology team members. Make leadership recommendations regarding strategic architectural considerations related to process design and process orchestration. Provide strong leadership and direction in development/engineering practices. Collaborate with other business and technology teams on architecture and design issues. Respond to evolving and changing security conditions. Implement and recommend security guidelines. Provide thought-leadership, advocacy, articulation, assurance, and maintenance of the enterprise architecture discipline. Provide solution, guidance, and implementation assistance within full stack development teams. Recommend long term scalable and performant architecture changes keeping cost in control. Preferred Qualifications: 12+ years of experience in the development and delivery of data systems. This experience should be relevant to roles such as Data Analyst, ETL (Extract, Transform and Load) Developer (Data Engineer), Database Administrator (DBA), Business Intelligence Developer (BI Engineer), Machine Learning Developer (ML Engineer), Data Scientist, Data Architect, Data Governance Analyst, or a managerial position overseeing any of these functions. 3+ years of experience creating solution architectures and strategies across multiple architecture domains (business, application, data, integration, infrastructure and security). Solid experience with the following technology disciplines: Python, Cloud architectures, AWS (Amazon Web Services), Bigdata (300+TBs), Advanced Analytics, Advance SQL Skills, Data Warehouse systems(Redshift or Snowflake), Advanced Programming, NoSQL, Distributed Computing, Real-time streaming Nice to have experience in Java, Kubernetes, Argo, Aurora, Google Analytics, META Analytics, Integration with 3rd party APIs, SOA & microservices design, modern integration methods (API gateway/web services, messaging & RESTful architectures). Familiarity with BI tools such as Tableau/QuickSight. Experience with code coverage tools. Working knowledge of addressing architectural cross cutting concerns and their tradeoffs, including topics such as caching, monitoring, operational surround, high availability, security, etc. Demonstrates competency applying architecture frameworks and development methods. Understanding of business process analysis and business process management (BPM). Excellent written and verbal communication skills. Experience in mentoring junior team members through code reviews and recommend adherence to best practices. Experience working with global, distributed teams. Interacts with people constantly, demonstrating strong people skills. Able to motivate and inspire, influencing and evangelizing a set of ideals within the enterprise. Requires a high degree of independence, proactively achieving objectives without direct supervision. Negotiates effectively at the decision-making table to accomplish goals. Evaluates and solves complex and unique problems with strong problem-solving skills. Thinks broadly, avoiding tunnel vision and considering problems from multiple angles. Possesses a general understanding of the wealth management industry, comprehending how technology impacts the business. Stays on top of the latest technologies and trends through continuous learning, including reading, training, and networking with industry colleagues. Data Architecture - Proficiency in platform design and data architecture, ensuring scalable, efficient, and secure data systems that support business objectives. Data Modeling - Expertise in designing data models that accurately represent business processes and facilitate efficient data retrieval and analysis. Cost Management - Ability to manage costs associated with data storage and processing, optimizing resource usage, and ensuring budget adherence. Disaster Recovery Planning - Planning for data disaster recovery to ensure business continuity and data integrity in case of unexpected events. SQL Optimization/Performance Improvements - Advanced skills in optimizing SQL queries for performance, reducing query execution time, and improving overall system efficiency. CICD - Knowledge of continuous integration and continuous deployment processes, ensuring rapid and reliable delivery of data solutions. Data Encryption - Implementing data encryption techniques to protect sensitive information and ensure data privacy and security. Data Obfuscation/Masking - Techniques for data obfuscation and masking to protect sensitive data while maintaining its usability for testing and analysis. Reporting - Experience with static and dynamic reporting to provide comprehensive and up-to-date information to business users. Dashboards and Visualizations - Creating d ashboards and visualizations to present data in an intuitive and accessible manner, facilitating data-driven insights. Generative AI / Machine Learning - Understanding of generative artificial intelligence and machine learning to develop advanced predictive models and automate decision-making processes. Understanding of machine learning algorithms, deep learning frameworks, and AI model architectures. Understanding of ethical AI principles and practices. Experience implementing AI transparency and explainability techniques. Knowledge of popular RAG frameworks and tools (e.g., LangChain, LlamaIndex). Familiarity with fairness metrics and techniques to mitigate bias in AI models. Sample technologies: Cloud Platforms – AWS (preferred) or Azure or Google Cloud Databases - Oracle, Postgres, MySQL(preferred), RDS, DynamoDB(preferred), Snowflake or Redshift(preferred) Data Engineering (ETL, ELT) - Informatica, Talend, Glue, Python(must), Jupyter Streaming – Kafka or Kinesis CICD Pipeline – Jenkins or GitHub or GitLab or ArgoCD Business Intelligence – Quicksight (preferred), Tableau(preferred), Business Objects, MicroStrategy, Qlik, PowerBI, Looker Advanced Analytics - AWS Sagemaker(preferred), TensorFlow, PyTorch, R, scikit learn Monitoring tools – DataDog(preferred) or AppDynamics or Splunk Bigdata technologies – Apache Spark(must), EMR(preferred) Container Management technologies – Kubernetes, EKS(preferred), Docker, Helm Preferred Certifications: AWS Solution Architect AWS Data Engineer AWS Machine Learning Engineer AWS Machine Learning EDUCATION: Bachelor’s and/or master’s degree in computer science or related field (information systems, mathematics, software engineering) . We are an equal opportunity employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to age, race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law.