442 Advanced Analytics Jobs - Page 17

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP ABAP Development for HANA Good to have skills : AAAP (Accenture Advanced Analytics Platform) Minimum 3 year(s) of experience is required Educational Qualification : Minimum 15 Years of Fulltime Education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. You will have the opportunity to contribute to the development of innovative solutions and collaborate with a diverse team to deliver high-quality results. Your typical day will involve designing and implementing application features, troubleshooting and resolving technical issues, and actively participating in team discussions to provide solutions to work-related problems. With a strong focus on SAP ABAP Development for HANA, you will play a key role in driving the success of our projects. 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. Design and implement application features based on business process and application requirements. Troubleshoot and resolve technical issues in a timely manner. Collaborate with cross-functional teams to ensure successful project delivery. Stay updated with the latest industry trends and technologies. Provide guidance and support to junior professionals in the team. Professional & Technical Skills: Must To Have Skills:Proficiency in SAP ABAP Development for HANA. Good To Have Skills:Experience with AAAP (Accenture Advanced 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 2 years of experience in SAP ABAP Development for HANA. This position is based at our Bengaluru office. A minimum of 15 years of full-time education is required. Qualifications Minimum 15 Years of Fulltime Education

Overview RGM - Associate plays a pivotal role in our organization, with a primary focus on supporting PBNA Divsions on Pricing, Mix Management and Promo Strategy. This role encompasses a range of responsibilities related to optimizing our product and pricing strategies to maximize brand equity, profitability, and consumer engagement. Key responsibilities of RGM - Associate include: Conducting in-depth market research and data analysis to identify and evaluate brand positioning / price pack architecture opportunities Analyzing consumer behavior and preferences to gain insights into how our brand ladder / pricing strategies impact purchasing decisions Developing and refining brand ladder and PPA models and methodologies to streamline decision-making / enhance operational efficiency Collaborating with cross-functional teams to ensure that our brand and pricing strategies align with overarching business objectives and regulatory requirements Utilizing data-driven insights to enhance the overall consumer experience and perception of our brands and pricing structures Contributing to the long-term brand and pricing strategy of the organization while balancing short-term priorities Working on building and interpreting results of statistical models to refine Pricing decisions, Promo Tactics and optimizing Promo calendar. Derriving and Evaluating Mix Performance and building actionable strategy to drive PepsiCo NRR Responsibilities Perform advanced analytics using Tableau/Power BI and develop predictive models, regression modeling, price elasticity analysis, and promotion optimization to extract actionable insights from data Collaborate on sector RGM strategic projects, such as promotions optimization, terms priorities, competitor benchmarking, and Price Pack Architecture (PPA) initiatives, to drive revenue realization Conduct statistical and trend analysis to identify market opportunities, highlight sector strengths, and provide recommended corrective actions to enhance performance Monitor existing KPI metrics, develop new relevant metrics, and identify correlations and root causes to support data-driven decision-making Design and build visualization dashboards to accelerate information-to-action at scale, enabling easy access to critical insights for various stakeholders Develop programs, methodologies, and reports for analyzing and presenting data, making data-driven insights accessible and actionable Ensure the timely and accurate submission of reports and data to the Revenue Management teams in line with agreed Service Level Agreements (SLA) Improve the utility of operational and performance data within various teams, supporting Business Intelligence (BI), reporting, analysis, and insights efforts Assist the GBS Commercial lead in developing an ongoing training and capability plan for COE associates, ensuring continuous growth and expertise development within the team Qualifications Broader data analysis capabilities. Previous experience in Consumer Insights, Key account Management, Trade Marketing or CPG consulting Experience in pricing and promotions management, demonstrating a deep understanding of pricing strategies, market dynamics, and consumer behavior Proven experience working in the Fast-Moving Consumer Goods (FMCG) sector with a strong understanding of business processes related to Revenue Management, including promotions, pricing, and sales Excellent visualization skills with the ability to translate complex data into actionable solutions and processes, enabling data-driven decision-making Advanced proficiency in Microsoft Excel and a strong command of PowerPoint, with the ability to quickly learn various in-house software applications for data analysis and reporting Knowledge of Power BI software and Python/ R language or willingness to pick it up required. Statistical modelling capabilities are added advantage. Ability to function effectively in a team environment and collaborate with individuals across the organization, as pricing and promotions strategies often require cross-functional teamwork Good verbal and written communication skills to effectively interact with stakeholders and present findings and recommendations in a clear and compelling manner Highly organized and responsive, with ability to work on SLAs and tight deadlines Numerate thinker, good at data analysis with strong attention to detail Language skills - English fluent Excellent written and oral communication skills; proactively communicates using appropriate methods for situation and audience in clear, concise and professional manner Ability to work collaboratively and proactively with multi-functional teams Be flexible, organized and able to handle competing priorities Ability to combine insights from various data sources Ability to influence stakeholders with data driven insights.

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP ABAP Development Good to have skills : AAAP (Accenture Advanced Analytics Platform) Minimum 3 year(s) of experience is required Educational Qualification : Minimum 15 Years of Fulltime 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 the smooth functioning of applications and addressing any issues that may arise. Your expertise in SAP ABAP Development will be crucial in developing efficient and effective solutions for our clients. Join our team in Pune and contribute to the success of our projects. 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. Collaborate with cross-functional teams to gather and analyze requirements. Design, develop, and test SAP ABAP programs and interfaces. Troubleshoot and debug issues in existing applications. Optimize application performance and ensure scalability. Document technical specifications and user manuals. Stay updated with the latest SAP ABAP Development trends and technologies. Professional & Technical Skills: Must To Have Skills:Proficiency in SAP ABAP Development. 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 SAP ABAP Development. This position is based at our Pune office. A minimum of 15 years of full-time education is required. Qualifications Minimum 15 Years of Fulltime Education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Microsoft Robotic Process Automation Good to have skills : AAAP (Accenture Advanced Analytics Platform) Minimum 3 year(s) of experience is required Educational Qualification : Minimum 15 Years of Fulltime Education Summary :As a Microsoft Robotic Process Automation Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements using AAAP (Accenture Advanced Analytics Platform). Your typical day will involve collaborating with cross-functional teams, analyzing business requirements, and developing solutions using Microsoft Robotic Process Automation technology. Roles & Responsibilities: Design, build, and configure applications to meet business process and application requirements using Microsoft Robotic Process Automation technology. Collaborate with cross-functional teams to analyze business requirements and develop solutions using AAAP (Accenture Advanced Analytics Platform). Develop and maintain technical documentation related to the application development process. Provide technical support and troubleshooting for applications developed using Microsoft Robotic Process Automation technology. Professional & Technical Skills: Must To Have Skills:Experience in Microsoft Robotic Process Automation technology. Good To Have Skills:Experience with AAAP (Accenture Advanced Analytics Platform). Strong understanding of software engineering principles and development methodologies. Experience with programming languages such as C#, .NET, and Java. Experience with database technologies such as SQL Server and Oracle. Experience with Agile development methodologies. Additional Information: The candidate should have a minimum of 3 years of experience in Microsoft Robotic Process Automation technology. The ideal candidate will possess a strong educational background in computer science or a related field, along with a proven track record of delivering impactful solutions using Microsoft Robotic Process Automation technology. This position is based at our Bengaluru office. Qualifications Minimum 15 Years of Fulltime Education

We are MG Global Services Private Limited (formerly known as 10FA India Private Limited, and prior to that Prudential Global Services Private Limited) . We are a fully owned subsidiary of the MG plc group of companies, operating as a Global Capability Centre providing a range of value adding services to the Group since 2003. At MG our purpose is to give everyone real confidence to put their money to work. As an international savings and investments business with roots stretching back more than 170 years, we offer a range of financial products and services through Asset Management, Life and Wealth. All three operating segments work together to deliver attractive financial outcomes for our clients, and superior shareholder returns. MG Global Services has rapidly transformed itself into a powerhouse of capability that is playing an important role in MG plc s ambition to be the best loved and most successful savings and investments company in the world. Our diversified service offerings extending from Digital Services (Digital Engineering, AI, Advanced Analytics, RPA, and BI Insights), Business Transformation, Management Consulting Strategy, Finance, Actuarial, Quants, Research, Information Technology, Customer Service, Risk Compliance and Audit provide our people with exciting career growth opportunities. Through our behaviours of telling it like it is, owning it now, and moving it forward together with care and integrity; we are creating an exceptional place to work for exceptional talent. We have a diverse workforce and an inclusive culture at MG Global Services, regardless of gender, ethnicity, age, sexual orientation, nationality, disability or long term condition, we are looking to attract, promote and retain exceptional people. We also welcome those who take part in military service and those returning from career breaks.

What you ll do: This position will be based in Sales and Marketing center in Pune. The position will be individual contributor & part of analytics team in Pune, India. The position will require working in a cross functional team to define and manage data in a sustainable way. The incumbent will be responsible for supporting Electrical America s strategy in developing and executing a unified collection of tools, dashboards, and analytics to deliver better data-driven insights into business operations. Key objective to be met by the execution of this strategy is to have a single source for truth for data enabling faster, accurate decision-making, reporting of key metrices and deploying advance analytics methods and techniques to provide insights and recommendation for actions. Discover the information hidden in vast amounts of data. Help to make smarter decisions to business by delivering a single source for truth for data. Primary focus would be in applying advance analytics methods and techniques to provide insights and actionable recommendations. Support Analytical projects from conceptualization to execution and partner with the business in the implementation of the analysis for driving incremental sales and profits. Design & build platforms and programs to collect, store, analyze and visualize data from various sources for specific projects. Responsible for finding trends in data sets and developing algorithms to help make raw data more insightful to the users. Ability to understand business processes & user requirements to plan where data fits into the business model to build a data ecosystem to serve the business needs. Provide ongoing analytical support to various functions with the systematic use of both historical and predictive data to make informed decisions. Identify and discover opportunities for utilizing advanced analytics methods and support in developing the competencies in the analytical team problem identification and problem-solving using advanced analytics/ statistics. Support in data exploration, designing data models to improve processes, reduce risk and add strategic value to the business. Qualifications: Minimum Graduate in Mathematics, Business, Economics. 3-5 years of experience - manufacturing industry exposure preferred. Skills: Microsoft Power BI, Knime, Dataiku or Alteryx experience mandatory SQL query language mandatory Data Engineering - (Extracting (relevant data), transforming (cleaning data), and loading (calculating & integrating) data from multiple sources to a single repository. ) - Mandatory Analytical modeling experience mandatory Strong analytical skills- prior experience of working on big data analytics projects - Preferred. Strong business acumen (of whichever industry the candidate belongs) Ability to multi-task and be proactive & independent in a dynamic environment. Highly motivated individual with excellent oral and written communication skills. Strategic and Critical approach towards solving problems and decision making Results-oriented; proven ability to prioritize, drive and achieve results Excellent communication skills - storytelling, concept pitching.

Partner with the Clients Advanced Analytics team to identify, scope, and execute advanced analytics efforts that answer business questions, solve business needs, and add business value Examples include estimating marketing channel effectiveness or estimating sales force sizing Maintain a broad understanding of pharmaceutical sales, marketing and operations and develop analytical solutions in these areas Stay current with respect to statistical / mathematical / informatics modeling methodology, to maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected POC development or R package development for building internal capabilities and standardization of common modeling processes Lead & guide the team independently or with little support to implement & deliver complex project assignments Provide strategic leadership to the team by building new capabilities within the group and identifying business opportunities Provide thought leadership by contributing to whitepapers and articles at the BU and organization level Developing and delivering formal presentations to senior clients in both delivery and sales situations Additional Information Interpersonal communication skills for effective customer consultation Teamwork and leadership skills Self-management skills with a focus on results for timely and accurate completion of competing deliverables Make the impossible possible in quest to make life better Bring Analytics to life by giving it zeal and making it applicable to business Know, learn, and keep up-to-date on the statistical and scientific advances to maximize your impact Bring an insatiable desire to learn, to innovate, and to challenge yourself for the benefit of patients

In this customer-facing sales role, you will liaise and build relationships with our customers executive management teams to exceed allocated sales target across a broad range of industrial software, power control and process control solutions. Your competitive advantage and success will be achieved by leveraging Rockwell Automations important areas of innovation and differentiation, our Smart Manufacturing - Industry 4.0 - technologies such as Augmented Reality, the best IIoT platforms, Advanced Analytics, MES solutions and our Connected Enterprise integrated architecture. You will establish and maintain relationships at assigned accounts in Auto/Tire industry in the western part of India including our End-users, OEMs, and System Integrators, while coordinating the activity with distributors to ensure efficient utilization of resources. You will be reporting to Sales Manager End-User - Auto/Tire. You will be based in Baroda, Gujrat. What Will Success Look Like You will achieve allocated sales target in products, services and solutions by actively negotiating and bringing opportunities to closure while working with the broader matrixed Rockwell Automation sales teams and partners. You will nurture growth in existing account and acquisition of competition / new accounts. You will lead improvement in customer satisfaction for assigned account packages. How You Will Achieve Your Goals Develop and execute strategic account plans for assigned accounts through disciplined planning and sales execution process. Lead the relevant stakeholders, internal and partners (Distributors, System Integrators, OEMs, etc) in the execution of every tactical actions in pursuit of the strategic objectives defined in the Account Plans. Spend at least 70% of time in customer-facing activities in support of account plans. Adopt the companys disciplined approach to managing sales opportunities and front log using available sales tools. Ensure customer satisfaction through regular contacts / visits and company sponsored surveys. Facilitate resolution of customer issues. Analyse current business levels against allocated sales target and provide monthly, quarterly and yearly sales forecasts. Stay current on Industry trends, competitors, market drivers and RA offerings. Perform any other relevant duties as and when assigned by Manager Education And Experience Requirements Degree in Business, IT, Engineering or a related discipline. Good knowledge in Auto and Tire industry. Experience in an industrial production environment, involved in the management or delivery of solution-based outcomes Minimum of 5 or more years of Sales experience in Auto and Tire industry. Software experience will be an added advantage - PTC, ThingWorx, Manufacturing Execution Systems (MES), Business Intelligence, Digital Transformation, Analytics, Advanced Analytics. What We Offer: Our benefits package includes Comprehensive mindfulness programs with a premium membership to Calm Volunteer Paid Time off available after 6 months of employment for eligible employees Company volunteer and donation matching program - Your volunteer hours or personal cash donations to an eligible charity can be matched with a charitable donation. Employee Assistance Program Personalized wellbeing programs through our OnTrack program On-demand digital course library for professional development

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP BW/4HANA Good to have skills : AAAP (Accenture Advanced Analytics Platform), No Technology Minimum 3 year(s) of experience is required Educational Qualification : Minimum 15 Years of Fulltime Education Summary :As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements using SAP BW/4HANA. Your typical day will involve collaborating with cross-functional teams, analyzing business requirements, and developing solutions to meet those requirements. Roles & Responsibilities: Design, build, and configure applications to meet business process and application requirements using SAP BW/4HANA. Collaborate with cross-functional teams to analyze business requirements and develop solutions to meet those requirements. Develop and maintain technical documentation related to application development. Provide technical support and troubleshooting for applications developed. Professional & Technical Skills: Must To Have Skills:Experience in SAP BW/4HANA. Good To Have Skills:Experience with AAAP (Accenture Advanced Analytics Platform). Strong understanding of data modeling and data warehousing concepts. Experience with ETL (Extract, Transform, Load) processes. Experience with SAP HANA database. Experience with SAP BusinessObjects reporting tools. Additional Information: Minimum 15 Years of fulltime Education. The candidate should have a minimum of 3 years of experience in SAP BW/4HANA. This position is based at our Hyderabad office. Qualifications Minimum 15 Years of Fulltime Education

Skill required: Delivery - Analytics Insights Designation: I&F Decision Sci Practitioner Assoc Mgr Qualifications: Any Graduation Years of Experience: 10 to 14 years What would you do? Data & AIAs an Insights analyst you will play a pivotal role in driving data-driven marketing strategies. You will be responsible for analyzing marketing data, identifying trends, and providing valuable insights to optimize marketing campaigns, improve customer targeting, and enhance overall business performance. This role involves collaborating with cross-functional teams and deriving key insights from data and create a coherent story to answer business questions. What are we looking for? Experience in Marketing ROI measurement techniques like marketing mix model, experimentation etc. Strong functional experience across a range of marketing activities and their related platforms and technologies, such as web analytics, experimentation, CRM, analytics implementation, campaigns and media, social media etc. Must have intermediate level understanding in various modeling techniques Working knowledge of Adobe/Google Analytics/GTM Strong problem-solving skills and attention to detail Good communication skills with ability to manage client-facing responsibilities Ability to work collaboratively in a cross-functional team environment with Strong business acumen and the ability to connect data insights to strategic decision Ability to work with and lead large globally networked and virtual teams and able to work with multiple stakeholders E.g. delivery leads, account management, clients and operational excellence teams Certification in Adobe/Google Analytics or data visualization tools Understanding of technologies & principles required for implementation of AB Test Roles and Responsibilities: Analyze marketing data from various sources to identify key insights and trends Manage strategic marketing analytics engagements –across digital marketing, customer analytics & social media Manage client relationship, shape analytics roadmap, manage execution of the initiatives and deliver business outcomes Deliver projects using advanced analytics and machine learning techniques like segmentation/clustering, recommendation engines, propensity models etc. to help clients drive better business outcomes, including improved user growth and revenue, enhanced marketing ROI, increased brand equity etc. Drive thought leadership and prospect new ways of applying digital analytics to make a business impact for clients Lead and manage multi-functional teams to help clients evolve to data-driven marketing organizations Develop deep functional & industry expertise Qualifications Any Graduation

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 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. Qualifications Master of Engineering,Masters in Business Economics

Skill required: Delivery - Predictive Modeling and Analytics Designation: I&F Decision Sci Practitioner Sr Analyst Qualifications: Any Graduation Years of Experience: 5 - 8 Years What would you do? Data & AIIn Predictive Modeling and Analytics, you will be using statistical techniques from predictive modeling, machine learning, and data mining that analyze current and historical facts to make predictions about future or otherwise unknown events. What are we looking for? Banking, Financial Services Banking Fundamentals Wholesale Banking Secured and Unsecured lending Programming skills in SAS, SQL, Python, Cloud tools (Snowflake, Talend, Matillion, SAS Viya, and etc Data Science Utilize data modeling techniques to develop efficient models for reporting Identify and establish key performance indicators (KPIs) and key risk indicators (KRIs) to guide strategic business decisions Perform advanced analytics including time series forecasting, regression analysis, decision trees, and cohort analysis Adaptable and flexible Agility for quick learning Ability to work well in a team Problem-solving skills Strong analytical skillsData Visualization - Tableau and Qliksense Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems May create new solutions, leveraging and, where needed, adapting existing methods and procedures The person would require understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor May interact with peers and/or management levels at a client and/or within Accenture Guidance would be provided when determining methods and procedures on new assignments Decisions made by you will often impact the team in which they reside Individual would manage small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts Qualifications Any Graduation

Project Role : Business Process Architect Project Role Description : Analyze and design new business processes to create the documentation that guides the implementation of new processes and technologies. Partner with the business to define product requirements and use cases to meet process and functional requirements. Participate in user and task analysis to represent business needs. Must have skills : SAP FI CO Finance Good to have skills : AAAP (Accenture Advanced Analytics Platform) Minimum 12 year(s) of experience is required Educational Qualification : Minimum 15 Years of Fulltime Education Summary :As a Business Process Architect, you will analyze and design new business processes to create documentation for implementing new processes and technologies. Partner with the business to define product requirements and use cases, and participate in user and task analysis to represent business needs. 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. Develop innovative business process solutions. Lead process improvement initiatives. Conduct process assessments and identify areas for improvement. Professional & Technical Skills: Must To Have Skills:Proficiency in SAP FI CO Finance. Strong understanding of financial processes. Experience in business process analysis and design. Knowledge of SAP implementation best practices. Experience with AAAP (Accenture Advanced Analytics Platform). Additional Information: The candidate should have a minimum of 12 years of experience in SAP FI CO Finance. This position is based at our Hyderabad office. A minimum of 15 years of full-time education is required. Qualifications Minimum 15 Years of Fulltime Education

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

Job Title - Data Science Analyst S&C GN Management Level : Analyst Location: Bangalore / Gurugram / Mumbai / Hyderabad / Chennai Must have skills: Gen AI / ML, SQL, Python, Azure / AWS, ML Ops Good to have skills: Experience in data science projects focused on Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product Job Summary :We are seeking a highly skilled and motivated Data Science Analyst to work on innovative projects and drive impactful solutions in domains such as Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product . This role requires hands-on technical expertise , and client delivery management skills to execute cutting-edge projects in Generative AI, data science, and cloud-based analytics. Key Responsibilities . 1.Data Science and Engineering Perform advanced analytics using Python, SQL, Pyspark using machine learning frameworks. Develop predictive models, recommendation systems, and optimization solutions tailored to business needs. Manage and preprocess large, complex datasets, ensuring efficient pipelines and advanced feature engineering across structured and unstructured data. Build MLOps pipelines for model training / retraining, monitoring, and scalability 2.Dashboard and Reporting Develop dashboards, reports, and insights to track the impact of deployed models on business outcomes in PowerBI/Tableau. Present results and recommendations to stakeholders, leveraging data storytelling to drive decision-making. 3.Cloud Platform Expertise Design and implement end-to-end data science workflows on cloud platforms (e.g., AWS, Azure, GCP) for business-critical projects. Leverage cloud-native tools and services (e.g., Databricks, ADF, Lambda, Glue, AzureML) for training, deploying, and monitoring machine learning models at scale. 4.Generative AI Expertise Lead the development of Generative AI based application and solutions leveraging frameworks like LangChain, LlamaIndex Drive model evaluation strategies using advanced metrics (e.g., BLEU, ROUGE, FID) and iteratively optimize performance for production-grade applications. Architect deployment solutions, including API development and seamless integration with existing systems. Required Qualifications Experience:1-5 years in data science Education:Bachelors / master's 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. Qualifications Experience: 1-5 years in data science Educational Qualification: Bachelors / 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:Bachelors / master's 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. Qualifications Experience: 4-8 years in data science Educational Qualification: Bachelors / 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:Bachelors / master's 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. Qualifications Experience: 4-8 years in data science Educational Qualification: Bachelors / 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:Bachelors / master's 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. Qualifications Experience: 4-8 years in data science Educational Qualification: Bachelors / masters degree in computer science, statistics, applied mathematics, or a related field.

Skill required: Delivery - Advanced Analytics Designation: I&F Decision Sci Practitioner Sr Analyst Qualifications: Master of Engineering/Masters in Business Economics Years of Experience: 5 to 8 years 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. Qualifications Master of Engineering,Masters in Business Economics

Job Title - Data Science Analyst S&C GN Management Level : Analyst Location: Bangalore / Gurugram / Mumbai / Hyderabad / Chennai Must have skills: Gen AI / ML, SQL, Python, Azure / AWS, ML Ops Good to have skills: Experience in data science projects focused on Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product Job Summary: We are seeking a highly skilled and motivated Data Science Analyst to work on innovative projects and drive impactful solutions in domains such as Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product . This role requires hands-on technical expertise , and client delivery management skills to execute cutting-edge projects in Generative AI, data science, and cloud-based analytics. Key Responsibilities . 1.Data Science and Engineering Perform advanced analytics using Python, SQL, Pyspark using machine learning frameworks. Develop predictive models, recommendation systems, and optimization solutions tailored to business needs. Manage and preprocess large, complex datasets, ensuring efficient pipelines and advanced feature engineering across structured and unstructured data. Build MLOps pipelines for model training / retraining, monitoring, and scalability 2.Dashboard and Reporting Develop dashboards, reports, and insights to track the impact of deployed models on business outcomes in PowerBI/Tableau. Present results and recommendations to stakeholders, leveraging data storytelling to drive decision-making. 3.Cloud Platform Expertise Design and implement end-to-end data science workflows on cloud platforms (e.g., AWS, Azure, GCP) for business-critical projects. Leverage cloud-native tools and services (e.g., Databricks, ADF, Lambda, Glue, AzureML) for training, deploying, and monitoring machine learning models at scale. 4.Generative AI Expertise Lead the development of Generative AI based application and solutions leveraging frameworks like LangChain, LlamaIndex Drive model evaluation strategies using advanced metrics (e.g., BLEU, ROUGE, FID) and iteratively optimize performance for production-grade applications. Architect deployment solutions, including API development and seamless integration with existing systems. Required Qualifications Experience:1-5 years in data science Education:Bachelors / 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. Qualifications Experience: 1-5 years in data science Educational Qualification: Bachelors / 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:Bachelors / 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. Qualifications Experience: 4-8 years in data science Educational Qualification: Bachelors / masters degree in computer science, statistics, applied mathematics, or a related field.

Salary: 15 to 30 LPA Exp: 2 to 8 years Location: Gurgaon Notice: Immediate only..!! Key Skills: SQL, Advance SQL, BI tools, ETL etc Roles and Responsibilities Extract, manipulate, and analyze large datasets from various sources such as Hive, SQL databases, and BI tools. Develop and maintain dashboards using Tableau to provide insights on banking performance, market trends, and customer behavior. Collaborate with cross-functional teams to identify key performance indicators (KPIs) and develop data visualizations to drive business decisions. Desired Candidate Profile 3-8 years of experience in Data Analytics or related field with expertise in Banking Analytics, Business Intelligence, Campaign Analytics, Marketing Analytics, etc. . Strong proficiency in tools like Tableau for data visualization; Advance SQL knowledge preferred. Experience working with big data technologies like Hadoop ecosystem (Hive), Spark; familiarity with Python programming language required.

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

Job Title - Data Science Analyst S&C GN Management Level : Analyst Location: Bangalore / Gurugram / Mumbai / Hyderabad / Chennai Must have skills: Gen AI / ML, SQL, Python, Azure / AWS, ML Ops Good to have skills: Experience in data science projects focused on Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product Job Summary: We are seeking a highly skilled and motivated Data Science Analyst to work on innovative projects and drive impactful solutions in domains such as Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product . This role requires hands-on technical expertise , and client delivery management skills to execute cutting-edge projects in Generative AI, data science, and cloud-based analytics. Key Responsibilities . 1.Data Science and Engineering Perform advanced analytics using Python, SQL, Pyspark using machine learning frameworks. Develop predictive models, recommendation systems, and optimization solutions tailored to business needs. Manage and preprocess large, complex datasets, ensuring efficient pipelines and advanced feature engineering across structured and unstructured data. Build MLOps pipelines for model training / retraining, monitoring, and scalability 2.Dashboard and Reporting Develop dashboards, reports, and insights to track the impact of deployed models on business outcomes in PowerBI/Tableau. Present results and recommendations to stakeholders, leveraging data storytelling to drive decision-making. 3.Cloud Platform Expertise Design and implement end-to-end data science workflows on cloud platforms (e.g., AWS, Azure, GCP) for business-critical projects. Leverage cloud-native tools and services (e.g., Databricks, ADF, Lambda, Glue, AzureML) for training, deploying, and monitoring machine learning models at scale. 4.Generative AI Expertise Lead the development of Generative AI based application and solutions leveraging frameworks like LangChain, LlamaIndex Drive model evaluation strategies using advanced metrics (e.g., BLEU, ROUGE, FID) and iteratively optimize performance for production-grade applications. Architect deployment solutions, including API development and seamless integration with existing systems. Required Qualifications Experience:1-5 years in data science Education:Bachelors / 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. Qualifications Experience: 1-5 years in data science Educational Qualification: Bachelors / 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:Bachelors / 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. Qualifications Experience: 4-8 years in data science Educational Qualification: Bachelors / masters degree in computer science, statistics, applied mathematics, or a related field.