523 Predictive Analytics Jobs - Page 7

Design and deploy predictive models (eg, forecasting, churn analysis, fraud detection) using Python/SQL, Spark MLlib, and Databricks ML. Build end-to-end ML pipelines (data ingestion feature engineering model training deployment) on Databricks Lakehouse. Optimize model performance via hyperparameter tuning, AutoML, and MLflow tracking. Collaborate with engineering teams to operationalize models (batch/real-time) using Databricks Jobs or REST APIs. Implement Delta Lake for scalable, ACID-compliant data workflows. Enable CI/CD for ML pipelines using Databricks Repos and GitHub Actions. Troubleshoot issues in Spark Jobs and Databricks Environment. Requirements: Experience should have 3 to 5 years in predictive analytics, with expertise in regression, classification, time-series modeling. Hands-on experience with Databricks Runtime for ML, Spark SQL, and PySpark. Familiarity with MLflow, Feature Store, and Unity Catalog for governance. Industry experience in Life Insurance or P&C. Good to have certification on Databricks Certified ML Practitioner. Technical Skills: Python, PySpark, MLflow, Databricks AutoML. Predictive Modelling (Classification, Clustering, Regression, timeseries and NLP). Cloud platform (Azure/AWS), Delta Lake, Unity Catalog.

Key Result Areas ( Max 1325 Characters) Supporting Actions (Max 1325 Characters) Business Functions GenAi Solutioning Connect, collect, and conceptualize business requirement for GenAi interventions. Conduct primary secondary research for peer, industry benchmarking Prompt Design & Optimization Develop, test, and optimize prompts for AI models to ensure accuracy and contextualization AI Model Fine-Tuning Collaborate with ML engineers to fine-tune SLMS/LLMs for specific use cases in digital transformation (e. g. , customer support automation, data analysis, process optimization). Digital Transformation Integration Identify opportunities where AI and prompt engineering can accelerate digital transformation efforts (e. g. , chatbots, document processing, predictive analytics). Bias & Safety Mitigation Ensure prompts and AI outputs are ethical, unbiased, and compliant with industry regulations Cross-functional Collaboration Work with business analysts and stakeholders to translate business requirements into effective AI-driven solutions Performance Monitoring Continuously evaluate AI responses, iterate prompt strategies, drive adoption and optimize for scalability Documentation Create guidelines, RFPs/PRDs/BRDs using GenAi solutions and best practices for prompt engineering within the organization

About the job Our Team: Sanofi Global Hub (SGH) is an internal Sanofi resource organization based in India and is setup to centralize processes and activities to support Specialty Care, Vaccines, General Medicines, CHC, CMO, and R&D, Data & Digital functions . Main responsibilities: The Performance Steward general responsibilities include: Maintain reporting ecosystem Data Quality and Integrity : working closely with Data Intelligence Clinical Operations (DICO, GPPM, Digital, etc) to ensure alignment on data fields, values, etc Creation, development and maintaince of dashboards and performance metrics using Business Intelligence tools (eg., PowerBI, Smartsheet, Plai, ValueLens, etc) Manage adhoc metric /KPI request External Benchmark : Running and submitting reports based on annual benchmarking requirements. review results and report management (CMR, KMR, Tufts, BCG ) Development of, and managing/tracking of operational progress and performance metrics (e.g., planning and resource analytics) for KPI analysis and other performance measures Development of and managing/tracking of tools for Portfolio or non-pipeline projects and other key business processes Process Controls : manage various monitoring process, tools and reporting Develop dashboard specifications in close collaboration with stakehodlers and manage UAT on delivered dashboards Strengthen the current reporting activities and support cross-functional department by addressing their specific needs and questions needed for decision-making Work with the various disciplines within R&D to improve the quality and standards of reported data throughout the data sources Provide the necessary Tool training to stakeholders (user, analytics and reporting) About you List here ideally the must-haves criteria to be successful on the role. Don t forget: the less criteria you will request, the more diverse candidates you will get in the pool. Experience: Experience in Pharmacuetical industry, and experience in R&D or in Business Soft skills : Advanced problem solving utilizing predictive analytics Flexible and open minded to solution and resolutions Excellent interpersonal, communication and presentation skills. Organizational and time-management abilities . Ability to interact and build strong relationships with project teams and support functions within R&D Willingness to work as a team, in a global and matrix organization Ability to challenge status quo and propose new ideas. Technical skills : Planisware / Agile method / Development in PowerBI - Tableau - Power Platform, Analytical technologies: Python, R, NLP Understanding of Clinical Data management and integrity validation In-depth knowledge of performance metrics Education :Master degree Languages : English

Global Solution Engineer - Operations Dont miss this opportunity to be part of the world-class 24*7 Global Solution Control and Command Center (GSCCC) coming up at Gurgaon, India- to transform the UOP LST Connected Solutions. It is a time to put your Technical Analytical Data Science, Machine learning, and business knowledge skills to extract technical insights from Customers live operating data. The work done in assembling and developing technical insights will help define the UOP Customer Experience and be the next critical milestone for your career. You will be an integrated network of technical professionals working together to provide outstanding technical insights. Customer Value is the GSCs key result to ensure we generate relevant insights from the extracted data for improved outcomes. Be agile, innovating, and customer focused. Review operations with customers and assisting with defining and quantifying customer benefits Monitoring different UOP technologies process and identifying areas for improvement/optimization and assets requiring enhanced focus. Provide readily available technical solutions/ work to get the solution to our customers. Initial triage of technical issues with the escalation process to TS. Proactively communicate insights from trends, establish patterns, diagnostic investigations, and solutions to prevent future issues. Ensure upkeep of all solutions by troubleshooting the PM/PTA/PRA/POA/Benchmarking /Future Solutions on time to ensure high on-screen availability of the running solutions Apply data mining to handle unstructured data to derive technical insights. Perform descriptive and inferential statistics to summarize datasets. Derive problem statement from ambiguous data, create a hypothesis, use analytics technology and tools to test hypothesis and form conclusions Analysis of large amounts of historical data, determining suitability for modeling, data clean-up and filtering, pattern identification and variable creation, applying automated predictive analytics. The focus is to support product, system, and solution through designing and developing pipelines. Work with the team to innovate - next-generation BIG DATA monitoring tools (Analytics using exception-based /Artificial Intelligence/Machine Learning) and build an operation dashboard for the GSCs sustainability & efficient operation. Align with the Intention of the LST Business and ensure collective commitment for the GSCs Key results. Part of 247 Operation of GSCCC Digital Insight Working in 24*7 Shift is an integral part of this role. Work with GSCCC Operation leader closely to make GSC as Center of Excellence Additional Candidate Qualifications: Passion for visualizing hidden relationships in technical data with ProSight Excellent verbal, written, interpersonal communication & effective presentation skills English language (oral and written) Ability to multi-task Be flexible to come in shift as a replacement in short notice Effective presentation, and communication skills Continuous learning and research-oriented mindset. Ability to think out of the box: Ability to come up with bright ideas and always looking at the next big thing in technology. Have strong analytical skills; be able to interpret data, identify trends, and make suggestions for improvements Knowledge of DataScience Open Source is added plus. Proficiency in computer applications with emphasis on Data Analytics & Data Science is desirable Creative approach to process development and customer-centric behavior Comprehensive analytical, troubleshooting & problems solving skills. Ability to work independently and in a team environment, focusing strongly on delivering SMART data results and identifying alternative solutions when challenges arise from unstructured data. Ability to define the problem with limited information This role may require global customer-facing and internal/external travel, up to 10% of the time. BS degree in Chemical Engineering BS degree in Chemical Engineering

About the Role: Grade Level (for internal use): 09 Department overview AutomotiveMastermind provides U.S. automotive dealers with AI/behavior prediction analytics software and marketing solutions that improve the vehicle purchase process and results. The companys cloud-based technology helps dealers precisely predict automobile-buying behavior and automates the creation of microtargeted customer communications, leading to proven higher sales and more consistent customer retention. Responsibilities: Work closely with Product Management and Data Strategy leadership to understand short and long-term roadmaps, and overall Data product strategy Drive backlog grooming agile sprint ceremony, acting as bridge between business needs and technical implementation Present on behalf of agile teams in sprint review, reiterating business value delivered with each work increment completed Develop expertise on the existing aM ecosystem of integrations and data available within the system Collaborate with data analysts, data management, data science, and engineering teams to develop short and long-term solutions to meet business needs and solve distinct problems Application of deep, creative, rigorous thinking to solve broad, platform-wide technical and/or business problems Identify key value drivers and key opportunities for/sources of error across products and processes Develop short-term preventive or detective measures, and leading medium/long-term product improvement initiatives arrived at via close collaboration with engineering, QA, and data support Coordinate with data engineers as appropriate to design and enable repeatable processes and generate deliverables to answer routine business questions What Were Looking For: Basic Required Qualifications: Minimum 4 years working experience as a Product Owner or Product Manager in an Agile scrum framework Experience using data and analytical processes to drive decision making, with ability to explain how analysis was done to an executive audience Strong knowledge of Agile development framework, with practical experience to support flexible application of principles Strong conceptual understanding of data integrations technologies and standards Working familiarity with road-mapping and issue tracking software applications (Aha!, MS Azure DevOps, Salesforce) Familiarity with Microsoft Excel, SQL, BigQuery, MongoDB, and Postman preferred An advocate for the importance of leveraging data, a supporter of the use of data analysis in decision-making, and a fierce promoter of data and engineering best practices throughout the organization. Passionate about empirical research A team player who is comfortable working with a globally distributed team across time zones A solid communicator, both with technology teams and with non-technical stakeholders PreferredExperience with or awareness of and interest in dimensional data modeling concepts B.tech/M.tech qualified. Grade9 LocationGurgaon Hybrid Modetwice a week work from office Shift Time12 pm to 9 pm IST About automotiveMastermind Who we are: Founded in 2012, automotiveMastermind is a leading provider of predictive analytics and marketing automation solutions for the automotive industry and believes that technology can transform data, revealing key customer insights to accurately predict automotive sales. Through its proprietary automated sales and marketing platform, Mastermind, the company empowers dealers to close more deals by predicting future buyers and consistently marketing to them. automotiveMastermind is headquartered in New York City. For more information, visit automotivemastermind.com. At automotiveMastermind, we thrive on high energy at high speed. Were an organization in hyper-growth mode and have a fast-paced culture to match. Our highly engaged teams feel passionately about both our product and our people. This passion is what continues to motivate and challenge our teams to be best-in-class. Our cultural values of Drive and Help have been at the core of what we do, and how we have built our culture through the years. This cultural framework inspires a passion for success while collaborating to win. What we do: Through our proprietary automated sales and marketing platform, Mastermind, we empower dealers to close more deals by predicting future buyers and consistently marketing to them. In short, we help automotive dealerships generate success in their loyalty, service, and conquest portfolios through a combination of turnkey predictive analytics, proactive marketing, and dedicated consultative services. 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. ---- 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 ---- 20 - Professional (EEO-2 Job Categories-United States of America), PDMGDV202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority Ratings - (Strategic Workforce Planning)

Overview Provide advanced analytics support for the EU Sector in the Insights Services Center; a part of the broader Global Capability Center function in Hyderabad, India. This role will help to enable accelerated growth for PepsiCo by developing custom descriptive analytics approaches for EU to drive deeper understanding of business performance drivers both at the National / Regional / State /City level. Primary responsibilities include developing/enhancing statistical models to address key business questions associated with Growth Driver Modeling, Pricing, Assortment, Market Structure, Innovation Forecasting, and Category Growth Forecasts, Portfolio growth model, Ambition related assignments for the key markets of EU. Additionally, this role will also support the consumer insight team by collating learnings from a variety of sources, to help inform the development of future insights strategies for various brands with in Bevareages / Snacks . The role will have short-term responsibilities for knowledge transfer from the Vendors and effectively establishing business process and communication methods with teams they support; both are crucial requirements to enabling the organization to deliver answers to on-going business questions Responsibilities Support delivery of descriptive and predictive analytics as defined by the SLA (Service Level Agreement) within the EU Business Service Service Center Support relationships with the key end-user stakeholders in EU and region offices Qualifications 4 to 7 years of experience in the field of analytics Ability to convert insights into story that answers critical business questions. Hands on in coding in tools like R and Python ( both or at least

Overview The role is a key insights partner role to the QFNA business which is a larger part of the PFUS brand and marketing teams. This role supports the understanding of retail & consumer data to identify growth opportunities for the PepsiCo PFUS business. This role enables acceleration of the PepsiCo business growth by contributing to the S&T team within the Hub. The team is also responsible for creating/updating dashboards, delivering periodic and on-demand performance reviews and addressing ad-hoc requests based on internal and external data sources. Responsibilities Be an indispensable insights business partner to the PFUS Business Unit in terms of knowledge of categories and brands supported (knowing the business cold), understand the key US market & consumer trends, master fundamentals of Circana IRI tools to be able to execute trends to insights to actions Execute market, portfolio and brand level reporting of marketing KPI performance (utilizing dashboards, templated decks, and reporting tools) Leverage business performance explanations in form of ad-hoc asks or strategic deck development from teams around the PFUS BU to incorporate considerations beyond data into reporting Be proactive and find opportunities to explain business performance, drivers and optimization opportunities Monitor key channel, customer, competitor (incl. PL) and emerging player performance and execute reporting at required intervals. Process management - Support communication processes with Insights & Reporting vertical leaders and Business Partners (project planning, workflow monitoring, quality checks, on-going changes)Help Insights & Reporting vertical leadership develop and finetune internal COE processes (work-flow mapping, pain-points and bottlenecks management) both related to service delivery and internal center operationsImprove existing processes based on frequent end-user and Business Partner feedback loop Hub strategy delivery - Act as a business partner for insights, strategy & delivery point of contact for all regular reporting & analysis needs for Business Partners as aligned.Support simplification, standardization and digitalization efforts (in cooperation with global and sector stakeholders) Qualifications A junior/mid-level Insight or Analytics professional with experience in a leading research agency (Nielsen/IRI Circana) as client servicing front end role or in any consumer goods company part of BU insights function with 5 years+ experience EducationMasters in marketing or management, economics, mathematics Potential to develop leadership and influencing profile in line with Insights Leader of the future definitionMotivates action through fact-based material; Has a track record of identifying and championing new processes for improving fact-based decision making. Can synthesize multiple, disparate data sources into key reports. Formulates a strong POV and can articulate future scenarios; Is a great storyteller. Strong collaboratorInterested and motivated by working with others. Actively creates and participates in opportunities to co-create solutions across markets; will be willing and able to embrace Responsive Ways of Working Proven analytics, shopper research experience, consumer insights experience or commercial experience in a combination with strong analytical skills High degree of familiarity with CPG and Food & Beverage industry data sources, including Nielsen/IRI (POS and HH panel), GlobalData, Kantar Worldpanel, etc. Deep understanding of CPG industry business performance outputs and causal measures, their relationships, and how to bring business performance insights to life visually.

Job Title:Data AnalystExperience5-10 YearsLocation:Bangalore, Pune : SQL, Pyspark, Baning Domain, Data analyst

The Lead Sales Analytics will be responsible for delivering data-driven insights that optimize sales performance, enhance forecasting accuracy, and drive opportunity pipeline growth. This role translates complex data into actionable intelligence, enabling leadership to make informed strategic decisions. Key Responsibilities: Develop and execute a sales intelligence strategy, leveraging analytics across various IT platforms and applications including SFDC to optimize sales operations. Own and enhance sales reporting, analytics, and scorecards, ensuring visibility into lead and lag key performance indicators (KPIs) and revenue-driving metrics. Design and implement real-time SFDC dashboards and performance tracking mechanisms, ensuring sales teams have access to critical insights on demand. Lead pipeline analysis and data-driven sales forecasting, enabling proactive decision-making and resource allocation. Partner with sales leadership to identify trends, gaps, and opportunities, providing strategic recommendations for growth and efficiency. Facilitate Account governance frameworks to ensure account growth targets are met. Leverage advanced an alytics and AI-driven insights to drive sales effectiveness, customer engagement, and revenue acceleration. Qualifications: Bachelors degree in Business, Data Analytics, Finance, or a related field. 7+ years of experience in sales analytics, business intelligence, or revenue operations. Expertise in data visualization tools (Power BI, Tableau) and Salesforce SFDC. Strong analytical mindset with a proven ability to translate data into actionable business strategies. Experience in forecasting methodologies, predictive analytics, and revenue modelling. Location: Pune

Urgent: SAP AI Consultant, near Pune Our client is leading Ice Cream Manufacturer of India , UAE & UK They are a professionally managed global conglomerate with traditional values of the 70-year-old family business. They directly employ over 2000 people across several regions of operations & includes the ownership & management of the boutique hotel in Mumbai, Banquets & Catering services, Indias largest ice-cream store chain , extremely delicious lower-calorie ice cream brand , the leading ice cream & food brand of the Middle East offering traditional Indian packaged foods such as paneer, frozen vegetables, rice & more a chain of modern Indian family dining restaurants in India & other sub-brands. Position Summary The SAP AI Consultant will be responsible for driving the implementation & optimization of artificial intelligence (AI) solutions within the SAP ecosystem. This includes advising clients on AI use cases, designing AI-driven business processes & integrating advanced AI technologies like machine learning, predictive analytics, & intelligent automation into SAP applications. The consultant will work closely with business & technical teams to deliver AI-powered solutions that improve business outcomes. Qualifications & Experience Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field. Minimum 5+ years of relevant experience in implementing AI solutions, with a strong background in SAP technologies. Deep understanding of SAP AI/ML capabilities, including SAP AI Foundation, SAP Leonardo, & SAP Business Technology Platform (BTP). Expertise in machine learning algorithms, predictive analytics, & data science methodologies. Proven experience with integrating AI technologies such as predictive models, natural language processing (NLP), & intelligent automation within SAP environments. Familiarity with SAP S/4HANA & integration of AI with core business applications (e.g., finance, logistics, supply chain). Experience with SAP Analytics Cloud (SAC) & its AI-driven analytics capabilities. Hands-on experience with Python, R, SQL, & other AI-related programming languages & tools. Knowledge of cloud-based AI services, such as SAP Data Intelligence, Google Cloud AI, AWS AI/ML, or Microsoft Azure AI. Understanding of AI ethics, data governance, & regulatory compliance related to AI applications. Strong problem-solving skills & ability to work on complex, cross-functional AI projects. Excellent communication skills with the ability to explain complex AI concepts to non-technical stakeholders. Ability to collaborate with both business & IT teams to design & deliver AI solutions. Experience with Agile methodology for delivering AI projects is an advantage. SAP certification in AI or related SAP technologies is a plus. Key Skills SAP AI Sap Cloud Platform S/4HANA SAP AI/ML SAP BTP SAP Analytics Cloud Sap Cloud Key Responsibilities Lead the design & implementation of AI & Machine Learning solutions integrated with SAP systems (S/4HANA, SAP Analytics Cloud, SAP Leonardo, etc.). Identify AI opportunities across various business functions (finance, procurement, sales, supply chain, etc.) & provide strategic recommendations for leveraging AI to drive operational efficiency & innovation. Work with SAPs AI capabilities, including SAP AI Foundation, SAP Business Technology Platform (BTP), & SAP Leonardo to create custom AI solutions. Design AI models, implement machine learning algorithms, & build intelligent automation processes to solve complex business problems. Collaborate with SAP functional consultants & business teams to define AI use cases & ensure AI-driven solutions are aligned with business objectives. Develop & deploy AI-powered applications, including predictive analytics, intelligent automation, & natural language processing (NLP), into the SAP environment. Integrate SAP AI technologies with other SAP modules (such as SAP S/4HANA, SAP BW, SAP SuccessFactors) to enhance data-driven decision-making & business performance. Lead data science initiatives by developing AI models, algorithms, & data pipelines to analyse large sets of structured & unstructured data. Advise clients on data requirements for AI models & machine learning, including the collection, cleaning, & processing of data for AI integration. Evaluate AI technologies, tools, & platforms, & recommend the best solutions for clients. Provide expertise in AI governance, ensuring ethical AI implementation & compliance with data privacy regulations. Deliver training & knowledge transfer to clients, enabling them to adopt AI technologies within their business processes. Conduct system testing, troubleshooting, & debugging to ensure successful deployment & execution of AI solutions. Stay up to date with emerging AI technologies, trends, & best practices, applying this knowledge to optimize SAP AI solutions. Preferred Skills Experience with AI-driven chatbots, virtual assistants, or AI-powered customer service solutions. Familiarity with SAP Intelligent Robotic Process Automation (RPA) & how AI integrates into business process automation. Knowledge of deep learning, computer vision, & speech recognition technologies. Experience working with large-scale data sets & leveraging big data platforms such as SAP Data Hub. Ability to design & implement AI models in cloud & on-premise environments. Experience in the automotive, manufacturing, or retail industries is a plus, as these sectors are increasingly adopting AI solutions. You are requested to Email updated resume with following details Current Location Please confirm you are ready to work Near Pune Do you have 5+ years of relevant experience Relevant experience in implementing AI solutions, with a strong background in SAP technologies , (In years) Relevant experience in SAP AI , Sap Cloud Platform , S/4HANA , SAP AI/ML , SAP BTP , SAP Analytics Cloud , Sap Cloud(In years) Relevant experience in designing AI use cases, AI-driven business processes & integrating advanced AI technologies(In years) Relevant experience in machine learning, predictive analytics, & intelligent automation into SAP applications. (In years) Relevant experience in design & implementation of AI & Machine Learning solutions integrated with SAP systems (S/4HANA, SAP Analytics Cloud, SAP Leonardo, etc.). Do you have Deep understanding of SAP AI/ML capabilities, including SAP AI Foundation, SAP Leonardo, & SAP Business Technology Platform (BTP)? Can you work with SAPs AI capabilities, including SAP AI Foundation, SAP Business Technology Platform (BTP) & SAP Leonardo to create custom AI solutions? Can you Develop & deploy AI-powered applications, including predictive analytics, intelligent automation, & natural language processing (NLP), into the SAP environment? Can you Integrate SAP AI technologies with other SAP modules (such as SAP S/4HANA, SAP BW, SAP SuccessFactors) to enhance data-driven decision-making & business performance? Can you Lead data science initiatives by developing AI models, algorithms, & data pipelines to analyse large sets of structured & unstructured data? Can you Advise clients on data requirements for AI models & machine learning, including the collection, cleaning, & processing of data for AI integration? Can you Evaluate AI technologies, tools, & platforms, & recommend the best solutions for clients? Team Size Managed ( Direct & Indirect) Current Salary (Fixed + Variable) Expected Salary Minimum period required for Joining Languages known Please self-rate : your English Communication skills on a scale of 1 to 10 (10 being highest) Contact Details, Residence & Mobile No What’s App No./ Skype ID In case you are not interested, we would appreciate, if you can refer us, suitable matching profiles from your rich contacts [[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[ Best Regards Pradeep Kumar / Mumbai Email: pradeep@intellectualcapital.co.in Cell: 8828181917 / 9323272361 [[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[

Key responsibilities: 1.Collaborate with Data engineers to define and design optimal data sources for tableau 2.Implement calculated fields, level of details expressions, parameters and data blending when required. 3.Work closely with DWH and ETL teams to align Tableau reporting needs with backend data models. 4.Design report with strong attention to layout, visual hierarchy and UX principles. 5.Apply best practices in report formatting, colour schemes, font and readability. 6.Implement filters, groups, sets and drill down functionalities for efficient user navigation. 7.Build end to end dashboards that are interactive and aligned with business KPls. 8.Test and fine tune dashboard performance for fast load times. Must-Have 1.7+ years of hands on experience with Tableau desktop and server. 2.SQL skills to work with complex datasets. 3.Experience in building interactive dashboards, reports and visual analytics. 4.Ability to interpret business requirements and translate them into technical solutions. 5.Familiarity with Tableau performance tuning technique. 6.Experience with Tableau Prep for data preparation workflows. Mandatory Competencies Beh - Communication and collaboration UX - UX - Adobe XD Database - Database Programming - SQL BI and Reporting Tools - BI and Reporting Tools - Tableau

As a Senior Consultant (Project Lead) in our Talent Solutions Consulting practice, you will play a vital role in addressing people challenges by leveraging data, insight, and strategic approaches. Your primary responsibility will be to lead impactful projects in the areas of compensation, rewards, and talent transformation. Your role will involve managing and executing strategic projects, including but not limited to: - Developing talent strategies such as organization design, digital transformation, performance management, and skill gap analysis. - Engaging with clients as a trusted advisor, ensuring delivery timelines are met, and maintaining high-quality output. - Contributing to internal research, events, and whitepapers to showcase thought leadership. - Supporting business development efforts by assisting in solution creation and proposal development for both new and existing clients. To be successful in this role, we are seeking candidates who possess: - 3-5 years of post-MBA or 6-7 years of post-graduate experience in compensation & benefits, rewards, talent consulting, or workforce strategy. - A degree in HR, Economics, Statistics, Business Analytics, or related fields. An MBA/PGDBM from Tier I Colleges is preferred. - Proficiency in Advanced Excel, with knowledge of tools such as R, VBA, predictive analytics, or modeling considered a plus. - Strong storytelling, data visualization, and presentation skills. - Project management expertise with the ability to lead multiple workstreams effectively. - Flexibility to travel as required by project demands. If you are enthusiastic about making a difference through data-driven decision-making and have a passion for tackling complex people challenges, we invite you to consider joining our team as a Senior Consultant in Talent Solutions Consulting.,

The role of Digital Transformation Services is a key part of our fast-growing business. Your main responsibility will be to develop and implement new technologies that will help drive revenue and growth for our Practice in Sourcing Procurement. You will work closely with clients and both internal and external technical teams to create innovative digital solutions in the Sourcing Procurement space. As a domain Subject Matter Expert (SME), you will focus on enhancing and improving digital solutions, such as cognitive procurement suites, category management tools, and predictive analytics platforms. You will also be involved in creating business cases and designing solutions based on digital Sourcing Procurement offerings, ensuring value proposition and business benefits are clearly outlined. Additionally, you will need to stay updated with industry best practices to incorporate into our digital solutions. Your role will also involve supporting Digital Transformation Programs in Sourcing and Procurement by leveraging various technological interventions. You will be responsible for demonstrating these digital solutions to clients and explaining their value propositions. It will be crucial for you to conduct assessments of clients" existing landscapes and engage with stakeholders to ensure customer satisfaction. A key aspect of your role will be analyzing data to understand performance and identify insights. You will need to work collaboratively with cross-functional teams and possess strong analytical skills. Experience in Sourcing Procurement, business consulting, and delivering presentations to management teams is essential for this role. In addition to technical requirements, you should have a deep understanding of Sourcing and Procurement processes, as well as exposure to analytics tools and platforms. Proficiency in data analysis, Excel modeling, and digital procurement analytics will be necessary. Familiarity with tools such as SAS, R, Tableau, Power BI, Ariba, and Coupa is preferred. Knowledge of Process Mining, Automation tools, and AI concepts in the Sourcing Procurement domain will be advantageous. We are looking for a candidate with excellent communication skills, both verbal and written, who can effectively present recommendations from data analysis in a business context. Strong storytelling skills and proficiency in tools like PowerPoint are also desirable for this role. If you have a passion for driving digital transformation and innovation in the Sourcing Procurement space, and possess the required experience and skills, we encourage you to apply for this exciting opportunity.,

As a participant in the Siemens Energy Graduate Program, you will have the opportunity to kickstart your career by gaining hands-on experience, mentorship, and training to become a future leader and innovator in the energy industry. From the very beginning, you will engage in meaningful assignments that provide you with a comprehensive understanding of Siemens Energy platforms and services used globally. Your dedicated mentor will guide you through various roles, help you establish valuable connections, and access resources essential for your career advancement. Joining a dynamic and diverse team, you will be instrumental in transforming challenges into opportunities and making a tangible impact every day. By contributing to the Siemens Energy team, you will further the company's mission of energizing society and supporting customers in transitioning to a more sustainable world. Your work will involve addressing real global issues and developing solutions that directly influence positive change. To excel in this role, you should demonstrate proficiency in designing solutions using Python or Java, possess keen attention to detail, and leverage analytical skills in decision-making processes. An openness to learning and embracing technologies based on the SAP Enterprise Resource Planning platform is crucial. Your responsibilities will include participating in portfolio architecture designs, shaping technology direction within application portfolios aligned with business strategies, and optimizing technologies across various business domains. Moreover, you will play a key role in exploring and implementing AI and Generative AI technologies to enhance business processes. Your tasks will involve developing AI models and algorithms for data analysis and predictive analytics. Your background should encompass working with the global ERP team to design and develop solutions, assessing technological maturity for requirements, and contributing to technological roadmaps in diverse environments. The ideal candidate should possess practical experience of at least 3 months, acquired through internships, working student activities, or previous employment. A master's degree in computer science or information technologies is preferred. Excellent communication skills in English, adaptability to work in a multicultural setting, and willingness to travel during the program are essential qualities. Collaboration within a diverse team to drive innovation and excellence is a key aspect of this role. Siemens Energy is dedicated to driving the global energy transition and shaping a sustainable future. By joining our team, you will actively contribute to our vision of becoming the leading energy technology company worldwide. We are committed to fostering a culture of diversity and inclusion, where every individual's unique background and perspective are valued and celebrated. Discover how you can play a vital role in shaping the future of energy at Siemens Energy: https://www.siemens-energy.com/employeevideo Siemens Energy recognizes the power of diversity in driving innovation and success. We embrace inclusion and draw strength from our diverse workforce comprising over 130 nationalities. At Siemens Energy, we are dedicated to energizing society through our commitment to diversity and do not discriminate based on differences.,

As an Industry Mentor at Edutez, you will have the unique opportunity to guide students in specialized programs such as Business Analytics & AI and AI-Driven Digital Marketing & E-Commerce. Your expertise in key areas including Data visualization, predictive analytics, AI-driven decision-making, Power BI, Excel for Business Analytics & AI, and AI-powered marketing, SEO, SEM, growth hacking, Google Analytics, Power BI, Excel for insights in Digital Marketing & E-Commerce will be invaluable in mentoring the next generation of professionals. Your role will involve delivering 35 sessions in a fully hybrid mode, where you will not only impart knowledge but also guide students through real-world projects and industry applications. By providing practical insights, career mentorship, and sharing your industry expertise, you will play a critical role in shaping the learning journey of the students. We are seeking candidates with 2-5 years of experience in the relevant domain, who possess strong teaching, mentorship, and communication skills. Fluency in English & Malayalam is preferred, and candidates from Kerala are particularly encouraged to apply. In return for your valuable contribution, we offer a competitive compensation of 1000-1500/hour along with additional allowances. If you are passionate about mentoring and making a difference in the lives of students, we invite you to apply now by sending your resume to info@edutez.com or contacting us at +91 6361-471185. For more information, visit our website at www.edutez.com.,

We are seeking experienced professionals to mentor students in the programs of Business Analytics & AI as well as AI-Driven Digital Marketing & E-Commerce. The key areas of expertise required for these roles include: - Business Analytics & AI: Proficiency in data visualization, predictive analytics, AI-driven decision-making, Power BI, and Excel. - Digital Marketing & E-Commerce: Skills in AI-powered marketing, SEO, SEM, growth hacking, Google Analytics, Power BI, and Excel for insights. Your responsibilities will involve delivering 35 sessions in a fully hybrid mode, guiding students through real-world projects and industry applications, and providing practical insights, career mentorship, and industry expertise. We are looking for individuals who possess 2-5 years of experience in the relevant domain, strong teaching, mentorship, and communication skills, fluency in English & Malayalam (preferred), and candidates from Kerala. The compensation offered for these positions is 1000-1500/hour plus allowances. If you meet the requirements and are passionate about mentoring students in these fields, we encourage you to apply now! To apply, please send your CV to info@edutez.com or contact us at +91 6361-471185. You can also visit our website at www.edutez.com for more information.,

You are an experienced Lead Data Scientist with a minimum of 8 years of professional experience, including at least 6 years in a data science role. Your expertise lies in statistical modeling, machine learning, deep learning, and GenAI. Proficiency in Python is a must, along with hands-on experience in optimizing code for performance. You excel in data preprocessing, feature engineering, data visualization, hyperparameter tuning, and have a solid understanding of database concepts, especially while working with large datasets. You have experience deploying and scaling machine learning models in a production environment, along with familiarity with machine learning operations (MLOps) and related tools. Your knowledge extends to Generative AI concepts and LLM finetuning, supported by excellent communication and collaboration skills. Your responsibilities as a Lead Data Scientist include guiding and mentoring a high-performance team on the latest technology landscape, patterns, and design standards. You provide strategic direction and technical leadership for AI initiatives, leading the design and architecture of complex AI systems. Your role involves developing and deploying machine learning/deep learning models to address key business challenges, applying various techniques in statistical modeling, data preprocessing, feature engineering, and more. You are proficient in areas such as computer vision, predictive analytics, natural language processing, time series analysis, and recommendation systems. Furthermore, you design and optimize data pipelines for model training and deployment, utilizing model serving frameworks and APIs for integration with other systems. Your qualifications include a Bachelor's or Master's degree in a quantitative field such as statistics, mathematics, computer science, or a related area. Your primary skills encompass Python, Data Science concepts, Pandas, NumPy, Matplotlib, Artificial Intelligence, Statistical Modeling, Machine Learning, Natural Language Processing (NLP), Deep Learning, Model Serving Frameworks, MLOps, Computer Vision, Predictive Analytics, Time Series Analysis, Anomaly Detection, Recommendation Systems, Generative AI, and proficiency in Cloud Computing Platforms. Your secondary skills involve expertise in designing scalable and efficient model architectures, the ability to assess and forecast financial requirements of data science projects, and strong communication skills for conveying technical concepts to stakeholders. As a Lead Data Scientist, you stay updated with the latest advancements in data science and machine learning, particularly in generative AI, to evaluate their potential applications and serve as a primary point of contact for client managers.,

The Machine Learning Engineer position at our fast-growing AI/ML startup is ideal for a highly skilled and self-motivated individual with at least 4 years of experience. As a Machine Learning Engineer, you will be responsible for designing and deploying intelligent systems and advanced algorithms tailored to real-world business problems across diverse industries. The role requires a creative thinker with a strong mathematical foundation, hands-on experience in machine learning and deep learning, and the ability to work independently in a dynamic, agile environment. Your key responsibilities will include collaborating with cross-functional teams to design and develop machine learning and deep learning algorithms, translating complex client problems into mathematical models, building data pipelines and automated classification systems, conducting data mining, and applying supervised/unsupervised learning to extract meaningful insights. You will also be responsible for performing Exploratory Data Analysis (EDA), hypothesis generation, and pattern recognition, developing and implementing Natural Language Processing (NLP) techniques, extending and customizing ML libraries/frameworks, visualizing analytical findings, developing and integrating APIs, providing technical documentation and support, and staying updated with the latest trends in AI/ML. To qualify for this role, you should have a B.Tech/BE or M.Tech/MS in Computer Science, Computer Engineering, or a related field, a solid understanding of data structures, algorithms, probability, and statistical methods, proficiency in Python, R, or Java, hands-on experience with ML/DL frameworks and libraries, experience with cloud services, a strong grasp of NLP, predictive analytics, and deep learning algorithms, familiarity with big data technologies, expertise in building and deploying scalable AI/ML models, exceptional analytical, problem-solving, and communication skills, and a strong portfolio of applied ML use cases. Joining our team will provide you with the opportunity to work at the forefront of AI innovation, be part of a high-impact team driving AI solutions across industries, enjoy a flexible remote working culture with autonomy and ownership, receive competitive compensation, growth opportunities, and access to cutting-edge technology, and embrace our culture of Learning, Engaging, Achieving, and Pioneering (LEAP) in every project you touch. Apply now to be a part of our innovative and collaborative team!,

As a Consultant in Performance Analytics at Mastercard, you will be part of the Advisors & Consulting Services group, which specializes in Strategy & Transformation, Performance Analytics, Business Experimentation, Marketing, and Program Management. Your role will involve translating data into insights by utilizing both Mastercard and customer data to create, implement, and scale analytical solutions for clients. You will employ qualitative and quantitative analytical techniques along with enterprise applications to synthesize analyses into clear recommendations and impactful narratives. Your responsibilities will include providing creative input on projects across various industries, contributing to the development of analytics strategies for regional and global clients, collaborating with the Mastercard team to understand client needs, and developing relationships with client analysts and managers. Additionally, you will collaborate with senior project delivery consultants, identify key findings, prepare presentations, deliver recommendations to clients, and lead internal and client meetings. To qualify for this role, you should have an undergraduate degree with experience in data and analytics, proficiency in data analytics software such as Python, R, SQL, SAS, and advanced skills in Word, Excel, and PowerPoint. You must be able to analyze large datasets, synthesize key findings, manage clients or internal stakeholders, and communicate effectively in English and the local office language. Preferred qualifications include additional experience in database structures, data visualization tools, working with the Hadoop framework, and relevant industry expertise. As part of your role, you will be expected to abide by Mastercard's security policies, ensure the confidentiality and integrity of accessed information, report any suspected security violations, and complete mandatory security trainings. This position offers opportunities for professional growth and development through mentorship from performance analytics leaders. If you are passionate about leveraging data to drive business insights and solutions, and possess the required qualifications and skills, we encourage you to explore the available positions in Performance Analytics at Mastercard and apply to join our dynamic team.,

Exp: 8 to 15 years Location: Gurgaon/Bengalore 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

RolePricing General Requirements: Knowledge of mathematics, probability, statistics and Commercial Insurance business. Knowledge of Insurance process(es) and pricing methodologies (conventional and Innovative approaches) Mandatory Requirements: Work experience in Pricing for commercial insurance risks (eg. property LOB)Work experience on pricing modelling using Exposure and Experience rating methodologies. Should have in-depth knowledge in pricing methodologies using EMBLEM and RADAR tools. Should have built pricing tools/raters on Excel. Should have knowledge on Frequency, Severity modelling and Loss cost modelling. Additional good to have requirements: Knowledge of actuarial tools (EMBLEM/RADAR), data mining tools like SQL/R/Python, automation using VBA macros Knowledge of ST-8 General Insurance Pricing Actuarial science would be preferable Work experience on GLM modelling Frequency and Severity Work experience on Impact Analysis using Radar tool would be an added advantage. Screening parameters: Work experience in General Insurance Pricing Knowledge on Pricing Exposure & Experience rating techniques (familiar with key concepts like LDF, ILF, loss curves) Cleared or appeared for Actuarial Science exam- ST-8General Insurance Pricing Modelling (Frequency & Severity modelling) using Emblem/R/SAS/Python Qualifications Proficient in predictive analytics methodology and its use in the insurance industry. Experienced in use of R, Python, and other open-source languages. Familiarity with Willis Towers Watson modeling software preferred. Working knowledge of P&C insurance marketplace. Knowledge and understanding of best practices and the competitive landscape. Job Location

The Managing Consultant for transformation programs in the Banking sector will focus on supporting the execution of initiatives with the following key responsibilities: 1. Solution Design and DevelopmentCollaborate with senior consultants to design innovative solutions that leverage data, AI, and automation to address client challenges in banking. This includes participating in brainstorming sessions and contributing to the development of proposals. 2. Engagement ExecutionTake lead responsibility implementation of transformation initiatives by coordinating project activities, managing timelines, and ensuring adherence to project plans. Support cross functional teams to facilitate effective execution. 3. Banking AnalysisConduct analysis of banking operations and processes to identify problem statements. Utilize data analytics tools to derive insights that inform solution design and execution. 4. Data AnalysisExecute Analysis by collaborating with various team to collect organizational data and metrics for deriving inferences. 5. Performance TrackingHelp establish key performance indicators (KPIs) for transformation initiatives. Monitor project progress and report on outcomes to senior team members. 6. Client EngagementAssist in client interactions by preparing materials for meetings, documenting discussions, and following up on action items to ensure alignment with client expectations. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 1. Educational BackgroundA master’s degree in finance or an MBA with specialization in finance, A Bachelor’s degree (BTech/ BE/ Integrated Masters) in a relevant discipline is required. 2. ExperienceOver 10 years of experience in consulting or a services firm working with financial services industry, with a strong focus on banking transformation projects using data-driven approaches. 3. Banking KnowledgeExpertise in leading or crafting analytical solutions or products within the banking sector. 4. Skills: a. Proficiency in programming languages such as Python or R for data analysis. b. Expertise in data visualization tools (e.g., Tableau/ Power BI /Excel) for effective communication of insights. c. Familiarity with machine learning concepts and frameworks (e.g., Scikit-learn) for basic model development d. Working knowledge of cloud computing (e.g., AWS, Azure, GCP) for deploying scalable solutions. 5. Professional Skills: a. Strong analytical skills with a focus on problem identification and solution formulation b. Good communication skills for engaging with team members and clients c. Ability to work collaboratively within cross-functional teams. Preferred technical and professional experience Industry KnowledgeUnderstanding of banking operations, digital banking trends, and change in regulatory compliance requirements. 2. Advanced Analytical TechniquesFamiliarity with advanced analytical methodologies such as natural language processing (NLP) for customer insights or predictive analytics for risk assessment.

The Impact you will have in this role: The Capacity Planning Engineer for Mainframe works directly with a team responsible for monitoring, analyzing, and reporting mainframe processing capacity at DTCC. The successful candidate will collect, process and validate system resource data along with business volume data for future analysis using sound data science principles. One should have a basic understanding of Mainframe while knowledgeable of sources and tools used to collect, validate, then process required system data. One should have a solid background in both descriptive statistics to extrapolate insight from large quantities of raw data using SAS software on the mainframe and in distributed environments. Your Primary Responsibilities: Monitor and analyze mainframe system performance and capacity trends. Collect, process, and validate large datasets from various system and business sources. Apply descriptive statistical techniques to summarize and interpret raw data. Utilize SAS software to generate reports and insights that inform capacity planning decisions. Collaborate with cross-functional teams to ensure data accuracy and relevance. Contribute to the development of tools and processes that enhance data collection and analysis **NOTE: The Primary Responsibilities of this role are not limited to the details above. ** Qualifications: Minimum of 6 years of related experience Bachelor's degree in a mathematics / statistics subject area preferred or equivalent work experience Talents Needed for Success: Foundational understanding of mainframe systems Proficiency in SAS or similar statistical software. MS Office skills, in particular intermediate PowerPoint, and Excel skills Excellent analytical skills including data exploration, analysis Good foundation in Descriptive Statistics Understanding of mainframe technology and components

About The Role Management Level: 09 - Consultant Must have skills: ML algorithms, NLP and Predictive Analytics, Conversational Analytics, Python, Cloud Knowledge (Azure/AWS/GCP), Proficiency in BI tools (Power BI/Tableau/ Qlik Sense/ThoughtSpot/ Figma etc.). Leverages artificial intelligence and machine learning techniques to enhance BI processes along with consulting experience of AI driven BI Transformations (Defining BI Governance, Operating model, Assessment Framework etc.) Good to have skills: Knowledge of Gen AI Models implementation (Open AI, Mistral, Phi-2, Solar, Claude 3 etc.), Agentic architecture implementation About S&C - Global Network :- Accenture Strategy & Consulting Global shapes our clients future, combining deep business insight with the understanding of how technology will change industry and business models. Our focus on issues related to business intelligence, Analytics and data insights using AI & GEN AI strategy and solutions. Today, digital is changing the way organizations engage with their employees, business partners, customers, and communities. This is our unique differentiator. S&C Global Network a distributed management consulting organization that provides management consulting and strategy expertise across the client lifecycle. Our S&C Global Network teams complement our in-country teams to deliver innovative expertise and measurable value to clients all around the world. WHATS IN IT FOR YOU Youll be part of a diverse, vibrant, BI Strategy team which has dynamic and innovative group of creating Data and BI Strategy & Consulting professionals. We understand the vision and mission of our customers & help them by developing innovative BI Strategy with value driven use cases, roadmap & technological solutions that drive business growth and innovation. As a key pillar of our organization, the Engineering Products team worked on various fields from BI , Data & AI perspective- BI Strategy, AI Enabled BI Strategy, Data Modelling, Data Architecture, Industry & AI Value strategy etc. that helps our customers in setting up strong data platform foundation & target roadmap to scaling & evolve towards achieving AI/GEN AI & advanced analytics vision to meet the evolving future needs of technology advancement. What you would do in this role Participate in visioning workshop & develop innovative BI Strategy & architecture frameworks tailored to the unique goals and aspirations of our clients, ensuring alignment with their evolving needs and preferences. Conduct comprehensive evaluations of clients' existing processes, technologies, and data ecosystems, uncovering opportunities for AI integration that resonate with Gen AI values and lifestyles. Align with industry & function teams, understand business problems, and translate it to BI , BI Governance , AI enabled BI and Operating Model , Develop target strategy with respect to Business Intelligence, Tools & Technology, BI Operating Model, BI Governance, AI Enabled BI needs along with Key initiatives & roadmap. Propose best suited LLMs (Large Language Model-GPT 3.5, 4, Llama etc.) as per the selection criteria framework & serve as a trusted advisor to our clients, offering expert guidance on AI Enabled BI Propose adoption strategies that resonate with BI and plan persona-based BI strategy for enterprise function. Work closely with cross-functional teams to co-create and implement innovative . He should be able to define personas and persona journey from functional and technical aspects with respect to Business Intelligence Able to architect , delivery and design BI Enabled AI solutions that address the complex challenges faced by customers and businesses. Participate in client engagements with confidence and finesse, overseeing project scope, timelines, and deliverables to ensure seamless execution and maximum impact. Facilitate engaging workshops and training sessions to empower BI Client stakeholders with the knowledge and skills needed to embrace Data driven transformation enabled through AI. Stay abreast of emerging BI , Data and AI analytics trends and technologies, continuously improving internal capabilities and offerings. Participate in BI, AI Enabled BI and Analytics aligned solutions and client demos. Who are we looking for Years of Experience: Candidates should typically have at least 6-9 years of experience in BI strategy, management, or a related field. This experience should include hands-on involvement in developing and implementing BI strategies for clients across various industries. Education: A bachelors or masters degree in computer science, Data Science, Engineering, Statistics, or a related field. Add eligibility: Strong analytical and strategic thinking skills are essential for this role. Candidates should be able to assess clients' business processes, technologies, BI, AI and data infrastructure to find opportunities for BI and AI Enabled BI integration and develop tailored BI strategy frameworks aligned with clients' goals. Displayed expertise in artificial intelligence technologies, including machine learning, natural language processing, computer vision, and deep learning. Candidates should have a solid understanding of AI concepts, algorithms, and their applications in solving real-world business problems. Excellent communication and presentation skills are crucial for effectively articulating complex technical concepts to non-technical stakeholders. Candidates should be able to convey AI strategy recommendations in a clear, concise, and compelling manner. Knowledge of cloud computing services (AWS, Azure, GCP) related to scaled AI and data analytics solutions. The ability to collaborate effectively with cross-functional teams is essential for this role. Candidates should be comfortable working with diverse teams to design and execute AI solutions that address clients' business challenges and deliver measurable results. Candidates should have a strong understanding of Gen AI preferences, behaviors, and values. Candidate should have understanding & working knowledge of various large language models to propose and implement best suited LLMs to our customer based on AI strategies that resonate with Gen AI Working experience with machine learning algorithms and statistical modeling techniques. Knowledge on MLOPs tools and services from strategic mindset will be a plus. Desired experience. Minimum 6 years of experience working with clients in the products industry (Lifesciences, CPG, Industry & Ret that are heavily influenced by AI & Gen AI preferences and behaviors, is highly valued. Candidates who have a deep understanding of AI & Gen AI trends and market dynamics can provide valuable insights and strategic guidance to clients. Minimum 5 years proven experience & deep expertise in developing and implementing AI strategy frameworks tailored to the specific needs and aims of clients within LS, Industry, CPG, and Retail sectors. The ability to craft innovative AI solutions that address industry-specific challenges and drive tangible business outcomes will set you apart. Minimum 6 years strong consulting background with a demonstrated ability to lead client engagements from start to completion. Consulting experience should encompass stakeholder management and effective communication to ensure successful project delivery. Minimum 4 years strong working experience AI implementation lifecycle & working knowledge in the AI and Analytics lifecycle, including problem definition, data preparation, model building, validation, deployment, and monitoring. Tools & Techniques Knowledge of UI/UX design using React, Angular & Visualization tools-Power BI/Tableau/Qlik Sense Knowledge on Cloud and native services around AI & GEN AI implementation-AWS/Azure/ GCP Have worked hands on Programming languages such as Python, R, SQL or Scala. Working knowledge AI and analytics platforms and tools, such as TensorFlow, PyTorch, KNIME, or similar technologies Working Knowledge on NLP (Natural Language Processing) techniques-text summarizer, text classification, Named Entity Recognition etc. Working Knowledge on various machine learning models-Supervised unsupervised, classification, regression model, Reinforcement learning, Neural networks etc., Knowledge on LLMs-Open AIGPT, Llama Index etc. Knowledge of ML Ops deployment, process tools & strategy (ML Flow, AWS Sage maker etc. Qualification Experience: Minimum 4 year(s) of experience is required Educational Qualification: B.Tech/BE

Skill required: Delivery - Customer Insight & Marketing Analytics 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 Process by which data from customer behavior is used to help make key business decisions via market segmentation and predictive analytics. This information is used by businesses for direct marketing, site selection, and customer relationship management. What are we looking for Customer Insights Analytics Insights Storytelling Insight generation and presentation Familiarity with BI Tools, Kantar Track Adaptable and flexible Agility for quick learning Commitment to quality Written and verbal communication Ability to work well in a team Roles and Responsibilities: In this role you are required to do analysis and solving of increasingly complex problems Your day-to-day interactions are with peers within Accenture You are likely to have some interaction with clients and/or Accenture management You will be given minimal instruction on daily work/tasks and a moderate level of instruction on new assignments Decisions that are made by you impact your own work and may impact the work of others In this role you would be an individual contributor and/or oversee a small work effort and/or team Qualification Any Graduation