2502 Data Science Jobs - Page 3

Job Title:GN - SC&O - S&P Data and AI - Consultant Management Level:09 - Consultant Location:Bengaluru Must have skills:Sourcing and Procurement, Supply Chain Management Good to have skills:Data Science Find endless opportunities to solve our clients' toughestchallenges, as you work with exceptional people, the latest technologies, and leading companies across industries. Practice: Supply Chain and Operations, Industry Consulting, Global Network I Areas of Work: Sourcing and Procurement | Level: Consultant | Location: Gurgaon, Delhi, Mumbai, Bangalore | Years of Exp: 4+ years Explore an Exciting Career at Accenture Are you an outcome-oriented problem solverDo you enjoy working on transformation strategies for global clientsDoes working in an inclusive and collaborative environment spark your interest Then, Strategy and Consulting Global Network SC&O is the right place for you to explore limitless possibilities. As a part of our SC&O Sourcing and Procurement practice, you will help organizations reimagine and transform their procurement strategies for tomorrowwith a positive impact on the business, society and the planet. This includes leveraging AI for spend analysis, supplier negotiations, demand forecasting, and procurement process automation to achieve cost savings, operational efficiencies, and enhanced supplier collaboration. Job Summary : We are seeking a seasoned Consultant with strong expertise in Sourcing & Procurement (S&P) to join our Data & AI Center of Excellence (CoE) . This role is ideal for someone who has led procurement transformation initiatives and is also passionate about harnessing the power of Data, AI, and Generative AI (GenAI) to reimagine the future of procurement. The ideal candidate will bring deep domain knowledge in S&Pacross areas such as spend analytics, supplier negotiations, demand forecasting, and procurement operationscombined with a strong understanding of how emerging AI technologies can unlock new efficiencies and insights. You will play a key role in identifying high-impact use cases, shaping digital strategies, and contributing to innovative GenAI-powered solutions tailored for procurement functions. This is a unique opportunity to blend hands-on consulting experience with future-focused innovation. Roles & Responsibilities: Together, lets innovate, build competitive advantage, and improve business and societal outcomes in an ever-changing, ever-challenging world. Help us make supply chains work better, faster, and more resilient through the following initiatives: Deliver Sourcing and Procurement (S&P) consulting engagements in areas such as strategic cost reduction, sourcing optimization, procurement transformation, and intelligent procurement using tools like Coupa, Ivalua, Zycus, and Jaggaer . Lead or support key activities including Implementation of procurement solutions:requirements gathering, technical design, solution configuration, testing, and user training. Engaging in business process and requirement discussions with clients to design effective, value-driven solutions. Leveraging capabilities within leading eProcurement platforms to design scalable, efficient Source-to-Pay (S2P) solutions. Estimating project scope and resource needs for complex implementations. Identifying and defining relevant KPIs/metrics to measure and track transformation impact. Delivering project outcomes aligned with client expectations and timelines. Managing key stakeholder relationships and facilitating change management. Support business development initiatives:proposal responses, product demos, roadshows, internal asset creation, and thought leadership. Drive innovation at the intersection of S&P and GenAI by Identifying high-impact use cases for Generative AI in procurement and Supporting the development of GenAI roadmaps and business cases for clients, highlighting ROI and operational efficiencies. Collaborating with technical and data science teams to conceptualize, design, and pilot GenAI solutions tailored to procurement challenges. Staying abreast of advancements in GenAI and identifying trends, tools, and technologies that can enhance procurement transformation efforts. Contributing to internal innovation efforts around GenAI accelerators , demos, and reusable assets for the S&P function. Professional & Technical Skills: Ability to define and execute end-to-end Source to Pay processes including category management & procurement analytics, supplier management, sourcing, contracts, order/goods, receipt/invoice management Ability to develop business case for procurement transformation initiatives such as implementation of source-to-pay solutions (e.g., Coupa, Ivalua, Zycus, Jaggaer and so on) Solid understanding or practical exposure to Data Analytics, AI, and Generative AI , with the ability to spot opportunities for digital enablement in procurement. Excellent data analytics and data interpretation and presentation skills Ability to solve complex business problems and deliver client delight Excellent communication, interpersonal and presentation skills Cross-cultural competence with an ability to thrive in a dynamic environment Additional Information Bachelors/ Masters degree in computer science, Data Science, Business Administration, or a related field. Engineering degree (preferred). Good understanding of sourcing and procurement fundamentals coupled with 2-4 years of consulting and industry experience in Sourcing and Procurement across the following:implementation of procurement solutions, eProcurement digitization, intelligent procurement, etc. Experience with digital sourcing and procurement solutions such as Coupa, IVALUA, Zycus, Jaggaer, GEP and so on - either in implementations or as an end user Strong understanding of data and AI platforms & technologies, architecture principles, operating models, and best practices, with hands-on experience in designing and implementing scalable AI solutions. Demonstrated ability to build compelling business cases for AI initiatives, with experience conducting cost-benefit analyses, ROI assessments, and risk evaluations. Experience in a consulting firm and global exposure is desirable Knowledge of ERP systems such as SAP, Oracle would be an additional advantage About Our Company | AccentureQualification Experience:4+ years Educational Qualification:Masters Degree (Bachelors/ Masters degree in computer science, Data Science, Business Administration, or a related field. Engineering degree (preferred).

Project Role : Technology Delivery Lead Project Role Description : Manages the delivery of large, complex technology projects using appropriate frameworks and collaborating with sponsors to manage scope and risk. Drives profitability and continued success by managing service quality and cost and leading delivery. Proactively support sales through innovative solutions and delivery excellence. Must have skills : SAP FI S/4HANA Accounting Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Technology Delivery Lead, you will manage the delivery of large, complex technology projects using appropriate frameworks and collaborating with sponsors to manage scope and risk. You will drive profitability and continued success by managing service quality and cost and leading delivery. Additionally, you will proactively support sales through innovative solutions and delivery excellence. Roles & Responsibilities:- Expected to be a SME with deep knowledge and experience.- Should have Influencing and Advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Manage the delivery of large, complex technology projects using appropriate frameworks.- Collaborate with sponsors to manage scope and risk.- Drive profitability and continued success by managing service quality and cost.- Lead delivery and ensure delivery excellence.- Proactively support sales through innovative solutions. Professional & Technical Skills: - Must Have Skills: Proficiency in SAP FI S/4HANA Accounting.- S4 HANA Implementation knowledge - Life sciences experience- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 15 years of experience in SAP FI S/4HANA Accounting.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Business Function Implement Practitioner Project Role Description : Support the implementation of activities for a specific business function to improve performance for a function end to end. Activities include analyzing and designing/re-designing business processes and/or defining parts of an organization. Must have skills : Platform as a Service Providers (PaaS) Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Business Function Implement Practitioner, you will support the implementation of activities for a specific business function to improve performance for a function end to end. This includes analyzing and designing/re-designing business processes and/or defining parts of an organization. You will have the opportunity to contribute to the success of the organization by leveraging your expertise in Platform as a Service Providers (PaaS) and collaborating with cross-functional teams. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Contribute to the implementation of activities for a specific business function- Analyze and design/re-design business processes- Define parts of an organization Professional & Technical Skills: - Must To Have Skills: Proficiency in Platform as a Service Providers (PaaS)- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 5 years of experience in Platform as a Service Providers (PaaS)- This position is based at our Bengaluru office- A 15 years full time education is required Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP Plant Maintenance (PM) Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. You will be responsible for ensuring that the applications are developed according to the specified requirements and standards. Your typical day will involve collaborating with the team, making team decisions, and engaging with multiple teams to contribute to key decisions. You will also be expected to provide solutions to problems that apply across multiple teams, showcasing your expertise and problem-solving skills. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Expected to provide solutions to problems that apply across multiple teams- Ensure the applications are developed according to the specified requirements and standards- Design and build applications that meet business process and application requirements- Configure applications to ensure they function properly Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Plant Maintenance (PM)- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 12 years of experience in SAP Plant Maintenance (PM)- This position is based at our Chennai office- A 15 years full time education is required Qualification 15 years full time education

Skill required: Delivery - Financial Planning and Analysis (FP&A) 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 Data & AIFinancial planning and analysis (FP&A) refers to the processes designed to help organizations accurately plan, forecast, and budget to support the company s major business decisions and future financial health. These processes include planning, budgeting, forecasting, scenario modeling, and performance reporting. What are we looking for Financial Planning & Analysis Data Analysis & Interpretation Data Engineering Adaptable and flexible Ability to work well in a team Commitment to quality Agility for quick learning Written and verbal communication 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

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Microsoft Azure Data Services Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will oversee the application development process and ensure successful project delivery. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work-related problems.- Lead the design and development of applications.- Act as the primary point of contact for application-related queries.- Provide guidance and mentorship to team members.- Collaborate with stakeholders to gather requirements and define project scope.- Ensure timely delivery of high-quality applications. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure Data Services.- Strong understanding of cloud computing concepts.- Experience with Azure DevOps for CI/CD pipelines.- Hands-on experience in designing scalable and secure cloud solutions.- Good To Have Skills: Experience with Azure Machine Learning Services. Additional Information:- The candidate should have a minimum of 3 years of experience in Microsoft Azure Data Services.- This position is based at our Chennai office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. You will play a crucial role in the development and maintenance of the data platform components, contributing to the overall success of the project. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Assist with the data platform blueprint and design.- Collaborate with Integration Architects and Data Architects to ensure cohesive integration between systems and data models.- Develop and maintain data platform components.- Contribute to the overall success of the project. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 5 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Bengaluru office.- 15 years full time education is required. Qualification 15 years full time education

Skill required: Delivery - Advanced Analytics Designation: I&F Decision Sci Practitioner Specialist Qualifications: Master of Engineering/Masters in Business Economics Years of Experience: 7 to 11 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 Data & AI You will be a core member of Accenture Operations global Data & AI group, an energetic, strategic, high-visibility and high-impact team, to innovate and transform the Accenture Operations business using machine learning, advanced analytics to support data-driven decisioning. What are we looking for Extensive experience in leading Data Science and Advanced Analytics delivery teams Strong statistical programming experience Python or working knowledge on cloud native platforms like AWS Sagemaker is preferred Azure/ GCP Experience working with large data sets and big data tools like AWS, SQL, PySpark, etc. Solid knowledge in at least more than two of the following Supervised and Unsupervised Learning, Classification, Regression, Clustering, Neural Networks, Ensemble Modelling (random forest, boosted tree, etc) Experience in working with Pricing models is a plus Experience in atleast one of these business domains:Energy, CPG, Retail, Marketing Analytics, Customer Analytics, Digital Marketing, eCommerce, Health, Supply Chain Extensive experience in client engagement and business development Ability to work in a global collaborative team environment Quick Learner and Independently deliver results. Qualifications:Masters / Ph.D. Computer science, Engineering, Statistics, Mathematics, Economics or related disciplines. Roles and Responsibilities: Building data science models to uncover deeper insights, predict future outcomes, and optimize business processes for clients. Utilizing advanced statistical and machine learning techniques to develop models that can assist in decision-making and strategic planning. Refining and improving data science models based on feedback, new data, and evolving business needs. Data Scientists in Operations follow multiple approaches for project execution from adapting existing assets to Operations use cases, exploring third-party and open-source solutions for speed to execution and for specific use cases to engaging in fundamental research to develop novel solutions. Data Scientists are expected to collaborate with other data scientists, subject matter experts, sales, and delivery teams from Accenture locations around the globe to deliver strategic advanced machine learning / data-AI solutions from design to deployment. Qualification Master of Engineering,Masters in Business Economics

Job Summary : We are seeking a seasoned Consultant/Analyst with strong expertise in Sourcing & Procurement (S&P) to join our Data & AI Center of Excellence (CoE) . This role is ideal for someone who has led procurement transformation initiatives and is also passionate about harnessing the power of Data, AI, and Generative AI (GenAI) to reimagine the future of procurement. The ideal candidate will bring deep domain knowledge in S&Pacross areas such as spend analytics, supplier negotiations, demand forecasting, and procurement operationscombined with a strong understanding of how emerging AI technologies can unlock new efficiencies and insights. You will play a key role in identifying high-impact use cases, shaping digital strategies, and contributing to innovative GenAI-powered solutions tailored for procurement functions. This is a unique opportunity to blend hands-on consulting experience with future-focused innovation. Roles & Responsibilities: Together, lets innovate, build competitive advantage, and improve business and societal outcomes in an ever-changing, ever-challenging world. Help us make supply chains work better, faster, and more resilient through the following initiatives:Lead or support key activities including: Implementation of procurement solutions:requirements gathering, technical design, solution configuration, testing, and user training. Engaging in business process and requirement discussions with clients to design effective, value-driven solutions. Leveraging capabilities within leading eProcurement platforms to design scalable, efficient Source-to-Pay (S2P) solutions. Estimating project scope and resource needs for complex implementations. Identifying and defining relevant KPIs/metrics to measure and track transformation impact. Delivering project outcomes aligned with client expectations and timelines. Managing key stakeholder relationships and facilitating change management. Support business development initiatives:proposal responses, product demos, roadshows, internal asset creation, and thought leadership. Drive innovation at the intersection of S&P and GenAI by: Identifying high-impact use cases for Generative AI in procurement and Supporting the development of GenAI roadmaps and business cases for clients, highlighting ROI and operational efficiencies. Collaborating with technical and data science teams to conceptualize, design, and pilot GenAI solutions tailored to procurement challenges. Staying abreast of advancements in GenAI and identifying trends, tools, and technologies that can enhance procurement transformation efforts. Contributing to internal innovation efforts around GenAI accelerators , demos, and reusable assets for the S&P function. Qualification Professional & Technical Skills: Ability to define and execute end-to-end Source to Pay processes including category management & procurement analytics, supplier management, sourcing, contracts, order/goods, receipt/invoice management Ability to develop business case for procurement transformation initiatives such as implementation of source-to-pay solutions (e.g., Coupa, Ivalua, Zycus, Jaggaer and so on) Solid understanding or practical exposure to Data Analytics, AI, and Generative AI , with the ability to spot opportunities for digital enablement in procurement. Excellent data analytics and data interpretation and presentation skills Ability to solve complex business problems and deliver client delight Excellent communication, interpersonal and presentation skills Cross-cultural competence with an ability to thrive in a dynamic environment

Job Summary :A professional at this position level within Accenture is expected to bring supply chain industry knowledge along with some level of working knowledge in M/A/G cloud The individual should have exposure to Supply Chain consulting/transformation projects in at least one of the following domains (Planning:forecasting, demand planning/sensing, supply planning, integrated business planning, and S&OP Sourcing & Procurement:supplier B2B, eProcurement, and supplier catalogs; Supply Chain Strategy:network design, sustainability, and control towers; Fulfillment:Inventory management inventory strategy, segmentation, and omni-channel) The individual should have demonstrated problem solving skills to be able to: Understand business requirements, dig into the details, ask right questions, and communicate business problems and outcomes effectively. This individual will be a self-starter who enjoys strategic problem-solving and guiding client requirements, critically evaluate information gathered from multiple sources, reconcile conflicts, decompose high-level information into details. Work with consultants to define the solution and implementation approach. Good storytelling capability to create impactful pitch decks. Drive execution of internal processes to ensure smooth day to day functioning of the CoE. The individual should have a proven project delivery track record and be able to: Draft proposals, set up objectives and help in drawing an action plan for prospective clients. Apply nonfunctional requirements and technical knowledge in the MAG Cloud domain to drive design of a robust solution. The individual must possess experience in performing: Qualitative and quantitative process assessments to enable a clear lens on enterprise process performance and gaps. Numerical analysis visualization using MS Office tools. Strategic analysis on key capability areas to focus on against market trends and developmentQualification Roles & Responsibilities: 2+ years as business analyst in consulting or startups preferably in supply chain domain Proficient in supply chain components and methodologies. Experience in supply chain solutioning Familiarity with common ERP, TMS, WMS, supply chain planning tools etc. Familiarity with Microsoft, AWS and Google cloud platforms. Demonstrated presentation skills with a high degree of comfort speaking with executives, IT Management, and developers. High level of comfort communicating effectively across internal and external organizations Demonstrated written communication skills Problem-solving skills to identify, escalate, track and resolve issues in time. Strong project management skills and ability to run projects on his own. Effective presentation and public speaking skills. Ability to work in a rapidly changing environment where continuous innovation is desired. Ability to effectively team with others in a large, global organization Analytical skills to bring clarity to complex issues and gather data-driven insights. Excellent communication and interpersonal skills. Cross cultural competence with an ability to thrive in a dynamic environment. Willingness to learn new technologies and apply the learnings on job. Hands on experience of various use case scenarios and challenges in supply chain. Positive attitude and a strong commitment to delivering quality work. Professional & Technical Skills: Familiarity with common ERP, TMS, WMS, supply chain planning tools etc. Familiarity with Microsoft, AWS and Google cloud platforms

Project Role : Full Stack Engineer Project Role Description : Responsible for developing and/or engineering the end-to-end features of a system, from user experience to backend code. Use development skills to deliver innovative solutions that help our clients improve the services they provide. Leverage new technologies that can be applied to solve challenging business problems with a cloud first and agile mindset. Must have skills : Data Science Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Full Stack Engineer, you will be responsible for developing and/or engineering the end-to-end features of a system, from user experience to backend code. Utilize development skills to deliver innovative solutions that enhance client services, leveraging new technologies to solve challenging business problems with a cloud-first and agile mindset. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Lead the design and implementation of scalable and secure software solutions.- Conduct code reviews and provide technical guidance to team members.- Stay updated on industry trends and best practices to drive continuous improvement. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 12 years of experience in Data Science.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Job Title - Data Eng, Mgmt. & Governance - Analyst S&C Global Network Management Level: 11 Location: Hyderabad Must have skills: Proficiency and hands-on experience in Data Engineering technologies like Python, R, SQL, Spark, Pyspark, Databricks, Hadoop etc. Good to have skills: Exposure to Retail, Banking, Healthcare projects and knowledge of PowerBI & PowerApps is an added advantage. Job Summary : As a Data Operations Analyst, you would be responsible to ensure our esteemed business is fully supported in using the business-critical AI enabled applications. This involves solving day-to-day application issues, business queries, addressing adhoc data requests to ensure clients can extract maximum value for the AI applications. WHATS IN IT FOR YOU An opportunity to work on high-visibility projects with top clients around the globe. 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 accelerating equality for all. Engage in boundaryless collaboration across the entire organization. Roles & Responsibilities: Monitor and maintain pre-processing pipelines, model execution batches and validation of model outputs. In case of deviations or model degradation, take up detailed root cause analysis and implement permanent fixes. Debug issues related to data loads, batch pipeline, application functionality including special handling of data/batch streams. As a Data Operations Analyst, you would be working on initial triaging of code related defects/issues, provide root cause analysis and implement code fix for permanent resolution of the defect. Design, build, test and deploy small to medium size enhancements that deliver value to business and enhance application availability and usability. Responsible for sanity testing of use cases as part of pre-deployment and post-production activities. Primarily responsible for Application availability and stability by remediating application issues/bugs or other vulnerabilities. Data Operations Analysts evolve to become Subject Matter Experts as they mature in servicing the applications. Professional & Technical Skills: Proven experience (2+ years) in working as per the above job description is required. Experience/Education on Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems is preferable. Proven experience (2+ years) in working as per the above job description is required. Exposure to Retail, Banking, Healthcare projects is added advantage. Proficiency and hands-on experience in Data Engineering technologies like Python, R, SQL, Spark, Pyspark, Databricks, Hadoop etc. Ability to work with large data sets and present findings/insights to key stakeholders; Data management using databases like SQL. Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models. Experience with any of the data visualization tools like Tableau, Qlikview, and Spotfire is good. Knowledge on PowerBI & PowerApps is an added advantage. Excellent analytical and problem-solving skills, with a data-driven mindset. Proficient in Excel, MS Word, PowerPoint, etc. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good Client handling skills; able to demonstrate thought leadership & problem-solving skills. Additional Information: - The ideal candidate will possess a strong educational background in computer science or a related field. This position is based at our Hyderabad office. About Our Company | AccentureQualification Experience: Minimum 2 years of experience is required Educational Qualification: Bachelors or masters degree in any engineering stream or MCA.

Job Title - Data Science Consultant S&C GN Management Level : Consultant 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 Consultant 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:4+ 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: 4-8 years in data science Educational Qualification: Bachelor's / masters degree in computer science, statistics, applied mathematics, or a related field.

Job Title - Data Science Consultant S&C GN Management Level : Consultant 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 Consultant 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:4+ 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: 4-8 years in data science Educational Qualification: Bachelor's / masters degree in computer science, statistics, applied mathematics, or a related field.

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP Sales and Distribution (SD) Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. You will be responsible for ensuring that the applications are developed according to the specified requirements and standards. Your typical day will involve collaborating with the team, making team decisions, and engaging with multiple teams to contribute to key decisions. You will also be expected to provide solutions to problems that apply across multiple teams, showcasing your expertise and problem-solving skills. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Expected to provide solutions to problems that apply across multiple teams- Ensure the applications are developed according to the specified requirements and standards- Design and build applications that meet business process and application requirements- Configure applications to ensure they function properly Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Sales and Distribution (SD)- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 12 years of experience in SAP Sales and Distribution (SD)- This position is based at our Chennai office- A 15 years full time education is required Qualification 15 years full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. You will play a crucial role in the development and maintenance of the data platform components, contributing to the overall success of the project. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Assist with the data platform blueprint and design.- Collaborate with Integration Architects and Data Architects to ensure cohesive integration between systems and data models.- Develop and maintain data platform components.- Contribute to the overall success of the project. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 7.5 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Chennai office.- 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. You will play a crucial role in the development and maintenance of the data platform components, contributing to the overall success of the project. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Assist with the data platform blueprint and design.- Collaborate with Integration Architects and Data Architects to ensure cohesive integration between systems and data models.- Develop and maintain data platform components.- Contribute to the overall success of the project. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 7.5 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Hyderabad office.- 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. You will collaborate with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Your typical day will involve working on the data platform blueprint and design, collaborating with architects, and ensuring seamless integration between systems and data models. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist with the data platform blueprint and design.- Collaborate with Integration Architects and Data Architects.- Ensure cohesive integration between systems and data models.- Implement data platform components.- Troubleshoot and resolve data platform issues. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 3 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Duck Creek Claims Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : Net Revenue AdditionyNet HC AdditionyPricing Strfixed feeif ContractSoW is in placey number 9940478345Valid Emp No for that skill13229353 Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the effort to design, build, and configure applications- Act as the primary point of contact- Manage the team and ensure successful project delivery Professional & Technical Skills: - Must To Have Skills: Proficiency in Duck Creek Claims- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 5 years of experience in Duck Creek Claims- This position is based in Mumbai- A 15 years full-time education is required Qualification Net Revenue AdditionyNet HC AdditionyPricing Strfixed feeif ContractSoW is in placey number 9940478345Valid Emp No for that skill13229353

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP for Retail Store Operations Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the effort to design, build, and configure applications- Act as the primary point of contact- Manage the team and ensure successful project delivery Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP for Retail Store Operations- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 5 years of experience in SAP for Retail Store Operations- This position is based at our Bengaluru office- A 15 years full-time education is required Qualification 15 years full time education

About AccentureCombining 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 world's 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 atwww.accenture.comEntity:- Accenture Strategy & AnalystPractice:- Strategy & Consulting Global NetworkTeam:CMT S&PTitle:- Data Science ConsultantJob location:- Hyderabad/BangaloreAbout the Team:-The team is focused on driving Data & AI based solutions for SaaS and PaaS clients for Accenture. The team collaborates actively with onsite counterparts to help identify opportunities for growth as well as drives client deliveries from offshore.WHATS IN IT FOR YOUAs part of our Analytics practice, you will join a worldwide network of over 20,000 smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Accenture will continually invest in your learning and growth. You'll work with experts in SaaS & PaaS and Accenture will support you in growing your own tech stack and certifications. In Applied intelligence you will understands the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative.What you would do in this role Gathering business requirements to create high level business solution framework aligning with business objectives and goals. Monitor project progress able to plan project plan, proactively identify risks, and develop mitigation strategies. Work closely with project leads, engineers, and business analysts to develop AI solutions. Develop & test AI algorithms and techniques tailored to solve specific business problems. Present and communicate solutions and project updates to internal & external stakeholders. Foster positive client relationships by ensuring alignment between project deliverables and client expectations. Adopt a clear and systematic approach to complex issues. Analyze relationships between several parts of a problem or situation. Anticipate obstacles and identify a critical path for a projectQualification Mentor and guide a team of AI professionals, cultivating a culture of innovation, collaboration, and excellence. Conduct comprehensive market research and stay updated on the latest advancements and trends in AI technologies. Foster the professional development of team members through continuous learning opportunities.

Entity:- Accenture Strategy & Consulting Team:- Global Network Data & AI Practice:- Resources Title:- Data Science Associate Director Job Location: Bangalore/Gurgaon/Mumbai About S&C - Global Network :- Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading AI/ML/Statistical tools, methods and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically-informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. What you would do in this role The ideal candidate shall be, Excellent communication and interpersonal skills, with the ability to effectively engage with clients and stakeholders at all levels Strategic mindset, with the ability to drive business growth and identify new opportunities Responsible to solution architect, design, build, deploy, deliver, and monitor advanced analytics models for different client problems. Interface with clients/account team to understand engineering/business problems and translate it into analytics problems that shall deliver insights for action and operational improvements. Take initiatives and collaborate with different Accenture internal teams and support driving sales. Collaborate with different cross-functional teams, including technology, engineering, Strategy and account teams, to identify the new use cases. Provide innovation and thought leadership support to build key capability areas such as tools & technology, new solutions in supply chain planning and assets & accelerators development. Manage and mentor high-performing team of data analysts to work on large scale datasets, cloud platforms, IoT, and other similar large datasets. Qualification Who we are looking for Qualifications and Experience: Bachelor's/Masters degree in Mathematics, Statistics, Computer Science, Computer Engineering, or related field 15+ year(s) experience as a Data Science with a focus on cloud services. Solid foundation of Statistical Modeling, Machine Learning algorithms and Experimental design. Expert knowledge of experimental test design and ability to inform business strategy based on statistical findings. Experience in Utilities, Energy, Chemical and Natural Resources experience is preferred. Understanding of programming languages such as Python, PySpark, SQL, or Scala. Implement MLOps practices to streamline the machine learning lifecycle, including model versioning, deployment, and monitoring. Solid understanding of data integration, data modeling, and data warehousing concepts. Strong analytical and problem-solving skills, with the ability to analyze complex data requirements and propose innovative solutions. Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders. Relevant certifications in Azure Data Services or cloud data engineering are highly desirable.

Entity:- Accenture Strategy & Consulting Team:- Global Network Data & AI Practice:- Resources Title:- Data Science Associate Director Job Location: Bangalore/Gurgaon/Mumbai About S&C - Global Network :- Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading AI/ML/Statistical tools, methods and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically-informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. What you would do in this role The ideal candidate shall be, Excellent communication and interpersonal skills, with the ability to effectively engage with clients and stakeholders at all levels Strategic mindset, with the ability to drive business growth and identify new opportunities Responsible to solution architect, design, build, deploy, deliver, and monitor advanced analytics models for different client problems. Interface with clients/account team to understand engineering/business problems and translate it into analytics problems that shall deliver insights for action and operational improvements. Take initiatives and collaborate with different Accenture internal teams and support driving sales. Collaborate with different cross-functional teams, including technology, engineering, Strategy and account teams, to identify the new use cases. Provide innovation and thought leadership support to build key capability areas such as tools & technology, new solutions in supply chain planning and assets & accelerators development. Manage and mentor high-performing team of data analysts to work on large scale datasets, cloud platforms, IoT, and other similar large datasets. Qualification Who we are looking for Qualifications and Experience: Bachelor's/Masters degree in Mathematics, Statistics, Computer Science, Computer Engineering, or related field 15+ year(s) experience as a Data Science with a focus on cloud services. Solid foundation of Statistical Modeling, Machine Learning algorithms and Experimental design. Expert knowledge of experimental test design and ability to inform business strategy based on statistical findings. Experience in Utilities, Energy, Chemical and Natural Resources experience is preferred. Understanding of programming languages such as Python, PySpark, SQL, or Scala. Implement MLOps practices to streamline the machine learning lifecycle, including model versioning, deployment, and monitoring. Solid understanding of data integration, data modeling, and data warehousing concepts. Strong analytical and problem-solving skills, with the ability to analyze complex data requirements and propose innovative solutions. Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders. Relevant certifications in Azure Data Services or cloud data engineering are highly desirable.

Job Title - Data Scientist and Analytics Level 9:Consultant Ind & Func AI Decision Science Consultant S&C Management Level:09 - Consultant Location:Bangalore/Gurgaon/Hyderabad/Mumbai Must have skills: Technical (Python, SQL, ML and AI), Functional (Data Scientist and B2B Analytics preferably in Telco and S&P industries) Good to have skills:GEN AI, Agentic AI, cloud (AWS/Azure, GCP) Job Summary : About Global Network Data & AI:- Accenture Strategy & Consulting Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition About Comms & Media practice: The Accenture Center for Data and Insights (CDI) team helps businesses integrate data and AI into their operations to drive innovation and business growth by designing and implementing data strategies, generating actionable insights from data, and enabling clients to make informed decisions. In CDI, we leverage AI (predictive + generative), analytics, and automation to build innovative and practical solutions, tools and capabilities. The team is also working on building and socializing a Marketplace to democratize data and AI solutions within Accenture and for clients. Globally, CDI practice works across industry to develop value growth strategies for its clients and infuse AI & GenAI to help deliver top their business imperatives i.e., revenue growth & cost reduction. From multi-year Data & AI transformation projects to shorter more agile engagements, we have a rapidly expanding portfolio of hyper-growth clients and an increasing footprint with next-gen solutions and industry practices. Roles & Responsibilities: Experienced in Analytics in B2B domain. Responsible to help the clients with designing & delivering AI/ML solutions. He/she should be strong in Telco and S&P domain, AI fundamentals and should have good hands-on experience working with the following: Ability to work with large data sets and present conclusions to key stakeholders; Data management using SQL. Data manipulation and aggregation using Python. Propensity modeling using various ML algorithms. Text mining using NLP/AI techniques Propose solutions to the client based on gap analysis for the existing Telco platforms that can generate long term & sustainable value to the client. Gather business requirements from client stakeholders via interactions like interviews and workshops with all stakeholders Track down and read all previous information on the problem or issue in question. Explore obvious and known avenues thoroughly. Ask a series of probing questions to get to the root of a problem. Ability to understand the as-is process; understand issues with the processes which can be resolved either through Data & AI or process solutions and design detail level to-be state Understand customer needs and identify/translate them to business requirements (business requirement definition), business process flows and functional requirements and be able to inform the best approach to the problem. Adopt a clear and systematic approach to complex issues (i.e. A leads to B leads to C). Analyze relationships between several parts of a problem or situation. Anticipate obstacles and identify a critical path for a project. Independently able to deliver products and services that empower clients to implement effective solutions. Makes specific changes and improvements to processes or own work to achieve more. Work with other team members and make deliberate efforts to keep others up to date. Establish a consistent and collaborative presence with clients and act as the primary point of contact for assigned clients; escalate, track, and solve client issues. Partner with clients to understand end clients business goals, marketing objectives, and competitive constraints. Storytelling Crunch the data & numbers to craft a story to be presented to senior client stakeholders. Professional & Technical Skills: Overall 8 years of experience in Data Science B.Tech Engineering from Tier 1 school or Msc in Statistics/Data Science from a Tier 1/Tier 2 Demonstrated experience in solving real-world data problems through Data & AI Direct onsite experience (i.e., experience of facing client inside client offices in India or abroad) is mandatory. Please note we are looking for client facing roles. Proficiency with data mining, mathematics, and statistical analysis Advanced pattern recognition and predictive modeling experience; knowledge of Advanced analytical fields in text mining, Image recognition, video analytics, IoT etc. Execution level understanding of econometric/statistical modeling packages Traditional techniques like Linear/logistic regression, multivariate statistical analysis, time series techniques, fixed/Random effect modelling. Machine learning techniques like - Random Forest, Gradient Boosting, XG boost, decision trees, clustering etc. Knowledge of Deep learning modeling techniques like RNN, CNN etc. Experience using digital & statistical modeling software Python (must), R, PySpark, SQL (must), BigQuery, Vertex AI Proficient in Excel, MS word, Power point, and corporate soft skills Knowledge of Dashboard creation platforms Excel, tableau, Power BI etc. Excellent written and oral communication skills with ability to clearly communicate ideas and results to non-technical stakeholders. Strong analytical, problem-solving skills and good communication skills Self-Starter with ability to work independently across multiple projects and set priorities Strong team player Proactive and solution oriented, able to guide junior team members. Execution knowledge of optimization techniques is a good-to-have Exact optimization Linear, Non-linear optimization techniques Evolutionary optimization Both population and search-based algorithms Cloud platform Certification, experience in Computer Vision are good-to-haves About Our Company | Accenture Qualification Experience: B.Tech Engineering from Tier 1 school or Msc in Statistics/Data Science from a Tier 1/Tier 2 Educational Qualification: B.tech or MSC in Statistics and Data Science

Management Level :07 - Manager Location :Gurgaon/Bangalore/Mumbai Must have skills :Python Programming, Machine Learning, Generative AI (GPT, DALLE, GANs), Model Deployment, Cloud (AWS/Azure/GCP), Statistical Analysis, Data Science, API Development, Docker/Kubernetes Good to have skills :PyTorch, TensorFlow, NLP, Computer Vision, Performance Optimization, Ethical AI Practices, Cloud Integrations, Open-Source Contributions Job Summary : Accenture AI is seeking a talented and motivated Generative AI Data Scientist Lead to join our Banking team. The ideal candidate will leverage their expertise in Generative AI models, Machine Learning, Data Analysis and Cloud Platforms to drive and lead the development & delivery of the innovative solutions and enhance our AI capabilities. This role will involve collaborating with cross-functional teams to design, develop, and implement generative AI solutions that meet our business needs. Roles & Responsibilities: Independent Project Leadership :Take ownership of end-to-end project delivery, from problem definition to solution deployment, with minimal supervision. Pod Leadership :Lead and mentor a small development pod (team) of data scientists and engineers, ensuring collaboration, innovation, and timely delivery of high-quality solutions. Model Development :Design, develop, and deploy state-of-the-art generative AI models (e.g., GPT, DALLE, Stable Diffusion, GANs) for applications such as text generation, image synthesis, content creation, and more. Strategy Development :Provide strategic recommendations to clients on how to integrate generative AI into their workflows and business processes. Ethical AI Practices :Ensure responsible use of generative AI by addressing biases, ethical concerns, and compliance with regulations. Performance Evaluation :Develop evaluation metrics and methodologies to assess the performance of generative models and ensure they meet quality standards. Collaboration :Work closely with product managers, engineers, and other stakeholders to understand requirements and deliver impactful AI solutions. Research and Innovation :Stay up-to-date with the latest advancements in generative AI and machine learning, applying that knowledge to improve existing models and techniques. Mentorship :Guide and mentor junior team members, fostering a culture of innovation and continuous learning. Professional & Technical Skills: 6+ years of experience in Data Science , Machine Learning , or related fields with a focus on Generative AI models (LLMs) . Expert proficiency in Python programming and experience with machine learning frameworks (e.g., TensorFlow , PyTorch ). Hands-on experience with cloud platforms (AWS, GCP, Azure), including deployment and solution building . Ability to work with Docker , Kubernetes , and API Development to deploy generative AI models. Strong analytical, problem-solving , and critical thinking skills. Expertise in ethical AI practices and understanding of the biases and regulations surrounding Generative AI . Excellent verbal and written communication skills, with the ability to clearly convey complex concepts to diverse audiences. Additional Information: Experience with large-scale data processing and cloud computing platforms. Familiarity with NLP , computer vision , and other AI applications. Publications or contributions to open-source AI/ML projects . Experience in cloud integrations and performance optimization . Strong leadership skills with experience in guiding teams and managing AI projects. About Our Company | AccentureQualification Experience :Minimum 6+ years of experience in Data Science, Machine Learning, or a related field with a focus on Generative AI models (LLMs) and leadership in AI solutions. Educational Qualification :Masters or Ph.D. in Computer Science , Data Science , Statistics , or related field.