SUMMARY About tsworks tsworks is a leading technology innovator, providing transformative products and services designed for the digital-first world. Our mission is to provide domain expertise, innovative solutions and thought leadership to drive exceptional user and customer experiences. Demonstrating this commitment, we have a proven track record of championing digital transformation for industries such as Banking, Travel and Hospitality, and Retail (including e-commerce and omnichannel), as well as Distribution and Supply Chain, delivering impactful solutions that drive efficiency and growth. We take pride in fostering a workplace where your skills, ideas, and attitude shape meaningful customer engagements. About this Role We are seeking a dynamic AI Engineer to join our AI Research and Development team. Our AI Research team focuses on solving unique challenges while pushing the boundaries of AI research and innovation, turning these advancements into real-world impact for our customers. The ideal candidate will have a strong foundation in data analysis, algorithm development, and machine learning infrastructure, building and training Large and Small Language Models with experience in both the product development and services industry. This role demands a deep understanding of Generative AI models, industry standard algorithms, software engineering and cloud technologies, with a strong focus on validation and optimization processes. Requirements In this role, you will be expected to perform: Algorithm Development: Develop, optimize, and validate state-of-the-art algorithms, including Generative AI. Generative AI Model development and training: Working with, evaluating and using the best Language model for each task, training and building custom LLMs as necessary, and performing necessary prompt engineering to build reliable outcomes. Model Validation: Create robust internal and external validation frameworks for AI/ML models, ensuring accuracy, reliability, and scalability Building AI Agents: Building and productionizing AI agents that cater to specific needs in the industry. Cloud Deployment: Design and deploy ML solutions on cloud platforms such as AWS , Azure , or GCP , ensuring efficiency and scalability. Data Insights: Analyze large-scale data sets to derive actionable insights and guide AI/ML solution design. Product Development: Collaborate with cross-functional teams to design and integrate AI/ML components into innovative products and services. Stay updated with the latest advancements in AI/ML and contribute to the broader research community. Minimum Qualifications: Bachelor’s degree or equivalent practical experience in Computer Science, Data Science, or a related technical field. 4+ years of experience in software development, working with data structures and algorithms in one or more programming languages (e.g., Python, Java, R). The candidate should have experience in Microservices or Application development and hands-on knowledge on Dev-Sec-Ops principles and practices. 1+ years of experience with state-of-the-art Generative AI models (e.g., LLMs, Multi-Modal, Large Vision Models) or related concepts (e.g., language modeling, computer vision). 2+ years of experience with ML infrastructure , including model deployment, evaluation, optimization, data processing, and debugging. Master’s degree or PhD in Computer Science or a related technical field. Experience developing accessible technologies to ensure inclusivity in AI solutions. Knowledge of distributed systems, large-scale system design, or natural language processing. What We Offer: The opportunity to work on cutting-edge AI/ML projects that address real-world challenges. A collaborative environment where innovation and leadership are encouraged. Access to industry-leading tools and platforms, enabling you to push the boundaries of AI. About the Team: The tsworks AI Research Team focuses on advancing AI technology and applying it across industries. We work on diverse challenges, ranging from information retrieval to AI-driven healthcare solutions, aiming to deliver tangible customer benefits. Join us to be at the forefront of AI innovation, delivering meaningful impact to businesses and society. Location: This position is based in our Bangalore office with a hybrid work model requiring 3 days per week in the office. You will be working on research and client projects, collaborating with teams and stakeholders as needed.

About The Role : As a Director in Data Advisory, you are responsible for defining and executing data advisory engagements for clients. Your role focused on Building, selling and delivering Data based solutions and Invents data capabilities. As a data advisory practitioner, you should have a point of view and understanding of build vs. buy, performance considerations, hosting, Data Lake, Data Mesh, reporting & analytics. Additional Responsibilities Include: Demonstrate the ability to hold strategic CXO conversations, ability to sell Capgemini Invents data capabilities to internal and external customers. Build and nurture a high-performing data advisory team, fostering growth and skill development Lead the development and execution of data strategy roadmaps and architectural design for clients, ensuring alignment with business objectives Manage and provide technical leadership to large data programs or multiple programs implementation based on the requirement using agile technologies Drive revenue growth by identifying, proposing, and winning new data advisory opportunities across key accounts. Create data-based assets and enable asset-based selling Stay updated with the latest technologies to incorporate innovative tools and methodologies into architectural designs Primary Skills Bachelors/Masters Degree in Computer Engineering, Computer Science, or a related field. 16+ years of Experience in leading and delivering large-scale data solutions, managing enterprise-level projects, and overseeing technical and advisory teams. Proficiency in at least 2 cloud technologies AWS, Azure, GCP, with extensive experience deploying AI-driven solutions at scale. Hands-on experience in creating data warehouse, Data lakes, ETL/ELT, Data pipelines, and reporting/analytic tools and environment Good knowledge in in Gen AI area and how data can support the advent of GenAI Proven experience in deploying cloud solutions at scale, with expertise in architecting, designing, and delivering AI-powered data solutions for large-scale projects. 5+ years of Hands-on Expertise in building and managing data advisory practices, with a strong focus on Cloud, AI/ML, data modeling, Data ops, and Datalake. Deep Expertise in one of the sectors like Life Sciences, CPR, Auto or Manufacturing Secondary Skills Strong customer orientation, decision making, problem solving, communication and presentation skills Very good collaboration skills and ability to interact with multi-cultural and multi-functional teams spread across geographies

Entity :- Accenture Strategy & Consulting Team :- Global Network Data & AI Practice :- Supply Chian Analytics Title :- I&F Decision Sci Practitioner Manager Job location :- Bangalore/Gurgaon/Hyderabad/ Mumbai 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. About The Role : The ideal candidate shall be, An expert in Supply chain/ manufacturing operations domain and Data Science skills. Responsible to solution architect, design, build, deploy, deliver, and monitor advanced analytics models for supply chain planning/operations analytics solutions areas such as asset reliability and maintenance, supply, procurement, inventory, spares, quality analytics, process analytics, simulation and mathematical optimization, demand, etc. planning. Interface with clients 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. 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. Qualifications Experience and Education: A minimum 9+ years of experience in industrial/manufacturing/consulting or related areas is needed with at least 5 years of supply chain/ manufacturing/ production advanced analytics solutions design and delivery experience. Good to have global client experiences. Ideal candidates should have a bachelors degree preferably in Industrial/ Production/ Statistics/ Economics etc. and masters degree in Statistics/ Economics/ Operations Management/ Supply Chain/ Data Science, etc. Certifications in any one or two of the areas will be an added advantage:Python, AI/ML, Optimization, Simulation, any of the cloud platforms (Azure/ GCP/ AWS). Mandatory Skills: Must have: Good understanding of overall supply chain planning and operations of any of the industries (CPG, Life sciences, Pharma, Industrial, Resources) and connect it with analytics solutions. Deep understanding of advanced analytics solutions descriptive, diagnostic, predictive, prescriptive, and generative and hands-on experience in building models using machine learning, deep learning, Gen AI models. Strong experience in any one or two of the supply chain functions demand planning, inventory planning, S&OP, logistics planning, etc. Hands-on programming experience with any of the analytics tools, data bases and visualization tools and platforms (Python, PySpark, SQL, Bigdata tools, PowerBI/ Tableau). Strong written and oral communication skills. Good to have: SME in one or more of the supply chain functions Visualization packages like Tableau/ Power BI Exposure to tools like BY/ Anaplan/ o9/ Kinaxis /SAP IBP Experience in live data streaming and data ingestion tools.

Project Role :Technology OpS Support Practitioner Project Role Description :Own the integrity and governance of systems, including best practices for delivering services. Develop, deploy and support infrastructures, applications and technology initiatives from an architectural and operational perspective in conjunction with existing standards and methods of delivery. Must have skills :Enterprise Network Operations,Security Architecture Design Good to have skills :Cloud Network Operations

Skill required: Retirement Solutions - Retirement Planning Services Designation: Service Delivery Ops Associate Qualifications: Any Graduation Years of Experience: 1 to 3 years What would you do? We help insurers redefine their customer experience while accelerating their innovation agenda to drive sustainable growth by transforming to an intelligent operating model. Intelligent Insurance Operations combines our advisory, technology, and operations expertise, global scale, and robust ecosystem with our insurance transformation capabilities. It is structured to address the scope and complexity of the ever-changing insurance environment and offers a flexible operating model that can meet the unique needs of each market segment.Retirement solution is a comprehensive process to understand how much money you will need when you retire. Retirement solution also helps you identify the bestCovers the full range of services needed throughout a plans life, including plan development & enhancement, sales & marketing, plan sponsor/institutional client onboarding/management, participant enrollment/management, sponsor and member servicing & reporting. Their products consist of individual retirement accounts (Roth IRA), college savings accounts, guaranteed investment contracts, fixed & variable deferred annuities (qualified & non qualified), as well as corporate retirement funds. What are we looking for? Retirement ServicesAbility to manager various stakeholdersAbility to work on stringent timelines Roles and Responsibilities: "Analyst, Client ServicesThe Client Services Analyst provides day-to-day support for retirement plan clients. Working under close supervision, this job supports clients during the onboarding process, maintains day-to-day contact with clients, and writes and issues client communications.Key Responsibilities and DutiesSupports existing client relationships by responding to client queries and requests promptly and effectively working with clients on inquiries and ensuring client expectations are met.Identifies and resolves problems and transactions for issues involving client experience.Performs research, analyzes data and follows up with other functional departments to answer ad-hoc client queries on a wide variety of investment, operational, compliance and regulatory topics.Ensures that all individual trades and accounts have been reviewed and verified.Prepares and delivers weekly, monthly and quarterly valuation reports to clients.Supports the onboarding of new clients including interfacing with Legal, Sales and Relationship Management.Liaises with Fund Managers in developing and overseeing the implementation of support strategies to service existing clients. Qualifications Any Graduation

Skill required: Retirement Solutions - Retirement Planning Services Designation: Service Delivery Ops Associate Qualifications: Any Graduation Years of Experience: 1 to 3 years What would you do? We help insurers redefine their customer experience while accelerating their innovation agenda to drive sustainable growth by transforming to an intelligent operating model. Intelligent Insurance Operations combines our advisory, technology, and operations expertise, global scale, and robust ecosystem with our insurance transformation capabilities. It is structured to address the scope and complexity of the ever-changing insurance environment and offers a flexible operating model that can meet the unique needs of each market segment.Retirement solution is a comprehensive process to understand how much money you will need when you retire. Retirement solution also helps you identify the bestCovers the full range of services needed throughout a plans life, including plan development & enhancement, sales & marketing, plan sponsor/institutional client onboarding/management, participant enrollment/management, sponsor and member servicing & reporting. Their products consist of individual retirement accounts (Roth IRA), college savings accounts, guaranteed investment contracts, fixed & variable deferred annuities (qualified & non qualified), as well as corporate retirement funds. What are we looking for? Retirement ServicesAbility to manager various stakeholdersAbility to work on stringent timelines Roles and Responsibilities: "Analyst, Client ServicesThe Client Services Analyst provides day-to-day support for retirement plan clients. Working under close supervision, this job supports clients during the onboarding process, maintains day-to-day contact with clients, and writes and issues client communications.Key Responsibilities and DutiesSupports existing client relationships by responding to client queries and requests promptly and effectively working with clients on inquiries and ensuring client expectations are met.Identifies and resolves problems and transactions for issues involving client experience.Performs research, analyzes data and follows up with other functional departments to answer ad-hoc client queries on a wide variety of investment, operational, compliance and regulatory topics.Ensures that all individual trades and accounts have been reviewed and verified.Prepares and delivers weekly, monthly and quarterly valuation reports to clients.Supports the onboarding of new clients including interfacing with Legal, Sales and Relationship Management. Qualifications Any Graduation

Skill required: Retirement Solutions - Retirement Planning Services Designation: Service Delivery Ops Associate Qualifications: Any Graduation Years of Experience: 1 to 3 years What would you do? We help insurers redefine their customer experience while accelerating their innovation agenda to drive sustainable growth by transforming to an intelligent operating model. Intelligent Insurance Operations combines our advisory, technology, and operations expertise, global scale, and robust ecosystem with our insurance transformation capabilities. It is structured to address the scope and complexity of the ever-changing insurance environment and offers a flexible operating model that can meet the unique needs of each market segment.Retirement solution is a comprehensive process to understand how much money you will need when you retire. Retirement solution also helps you identify the bestCovers the full range of services needed throughout a plans life, including plan development & enhancement, sales & marketing, plan sponsor/institutional client onboarding/management, participant enrollment/management, sponsor and member servicing & reporting. Their products consist of individual retirement accounts (Roth IRA), college savings accounts, guaranteed investment contracts, fixed & variable deferred annuities (qualified & non qualified), as well as corporate retirement funds. What are we looking for? Retirement ServicesAbility to manager various stakeholdersAbility to work on stringent timelines Roles and Responsibilities: "Analyst, Client ServicesThe Client Services Analyst provides day-to-day support for retirement plan clients. Working under close supervision, this job supports clients during the onboarding process, maintains day-to-day contact with clients, and writes and issues client communications.Key Responsibilities and DutiesSupports existing client relationships by responding to client queries and requests promptly and effectively working with clients on inquiries and ensuring client expectations are met.Identifies and resolves problems and transactions for issues involving client experience.Performs research, analyzes data and follows up with other functional departments to answer ad-hoc client queries on a wide variety of investment, operational, compliance and regulatory topics.Ensures that all individual trades and accounts have been reviewed and verified.Prepares and delivers weekly, monthly and quarterly valuation reports to clients.Supports the onboarding of new clients including interfacing with Legal, Sales and Relationship Management.Liaises with Fund Managers in developing and overseeing the implementation of support strategies to service existing clients. Qualifications Any Graduation

Entity :- Accenture Strategy & Consulting Team :- Strategy & Consulting Global Network Practice :- Communications & Media - AI & Data Architectures Title :- Ind & Func AI Value Strategy Manager Job location :- Bangalore, Hyderabad About S&C - Global Network:- 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. WHAT'S IN IT FOR YOU? Accenture has committed to invest USD 3Billion into GenAI in the next 3 years. We will continually invest in your learning and growth. Youll work with Accenture's highly skilled and experienced practitioners, and Accenture will support you in growing your own career path and interests. You'll be part of a diverse, vibrant, global Accenture Data and AI community, continually pushing the boundaries of business capabilities. What you would do in this role ML Maturity Assessment: Conduct comprehensive assessments of the organizations ML maturity, identifying strengths, weaknesses, and areas for improvement. Provide strategic recommendations to enhance the overall ML capability and align it with business objectives. ML Ops Roadmap & Processes: Develop ML Ops roadmaps and establish robust processes for the end-to-end machine learning lifecycle, including data preparation, model training, deployment, and monitoring. Implement best practices in ML Ops to ensure efficiency, scalability, and reliability of ML systems. Implementation of Gen AI Solutions: Lead the design and implementation of state-of-the-art Generative AI solutions, leveraging deep learning frameworks such as TensorFlow and PyTorch. Drive innovation in Gen AI, staying abreast of the latest advancements and incorporating cutting-edge technologies into solutions. Incubating and Designing: Proactively identify opportunities for ML and Gen AI applications within the organization. Work closely with cross-functional teams to incubate and design bespoke ML solutions tailored to business requirements. Technical Leadership: Provide technical leadership and mentorship to data scientists, engineers, and other team members. Collaborate with stakeholders to ensure alignment between technical solutions and business objectives. Collaboration and Communication: Collaborate with business stakeholders to understand their needs and translate them into ML and Gen AI requirements. Effectively communicate complex technical concepts to non-technical audiences. Qualifications Who we are looking for? Bachelors or advanced degree in Computer Science, Data Science, or a related field. Over 12 years of hands-on experience in machine learning, with a focus on architecting end-to-end solutions. Proven expertise in conducting ML maturity assessments and developing ML Ops roadmaps. Demonstrable hands-on experience in designing & flawlessly operationalizing the Machine learning system on a cloud and / or an On-Prem platform. Extensive experience in implementing Generative AI solutions, including incubation, design, and deployment. Strong proficiency in deep learning frameworks such as TensorFlow and PyTorch. In-depth knowledge of ML Ops best practices and processes. Excellent problem-solving skills and ability to design scalable and reliable ML architectures. Strong leadership and communication skills, with a track record of leading successful ML initiatives. Experience in Telecom or Hi Tech or Software and platform industry desirable Tools & Techniques: TensorFlow, PyTorch, Scikit-learn, Keras NumPy, Pandas Matplotlib, Seaborn TensorFlow Serving, Docker and Kubernetes Good software engineering practices, including code modularization, documentation, and testing. Experience with API , Integration architecture , microservices If you are a visionary Machine Learning Architect with a passion for advancing ML maturity, implementing cutting-edge Gen AI solutions, and driving innovation, we invite you to apply and contribute to our organizations success. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

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.

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 S/4HANA Group Reporting Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : CA /CMA background will have additional preference Engineering 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 S/4HANA Group Reporting, SSI: NON SSI:Good to Have Skills :SSI:No Technology Specialization NON SSI :Job Requirements:'',//?field Key Responsibilities:1 Minimum of 8 years of relevant experience in SAP Business Planning and Consolidation which includes 3-4 years of SAP S/4 HANA for Group reporting 2 Minimum 2-3 end to end implementation experience of SAP S/4 HANA for Group reporting 3 Interactions with various client functional teams to understand the requirements and to finalize the design of each model in SAP Group reporting Technical Experience:1 Deep knowledge in SAP S/4 HANA for Group reporting 2 Good knowledge of BPC Group reporting and Consolidation 3 Hands on experience on SAP S/4 HANA for Group reporting Professional Attributes:4 Good analytical and problem-solving skills 5 Should have good client facing skills Educational Qualification:CA /CMA background will have additional preference Engineering Additional Info:At least 8 years of relevant BPC experience which includes 3-4 years of S/4 HANA for Group reporting Qualification CA /CMA background will have additional preference Engineering

Project Role : Tech Delivery Subject Matter Expert Project Role Description : Drive innovative practices into delivery, bring depth of expertise to a delivery engagement. Sought out as experts, enhance Accentures marketplace reputation. Bring emerging ideas to life by shaping Accenture and client strategy. Use deep technical expertise, business acumen and fluid communication skills, work directly with a client in a trusted advisor relationship to gather requirements to analyze, design and/or implement technology best practice business changes. Must have skills : SAP S/4HANA Group Reporting Good to have skills : NA Minimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Role:Technology Consulting Practitioner Project Role Description:Advises, leads and works on high impact activities within the systems development lifecycle,and provides advisory work for the IT function itself. Must have Skills :SAP S/4HANA Group Reporting Key Responsibilities:1 Minimum of 8 years of relevant experience in SAP Business Planning and Consolidation which includes 3-4 years of SAP S/4 HANA for Group reporting 2 Minimum 2-3 end to end implementation experience of SAP S/4 HANA for Group reporting Technical Experience:1 Deep knowledge in SAP S/4 HANA for Group reporting 2 Good knowledge of BPC Group reporting and Consolidation 3 Hands on experience on SAP S/4 HANA for Group reporting Professional Attributes:Good analytical and problem-solving skills Should have good client facing skills Educational Qualification:CA /CMA background will have additional preference Engineering Additional Info:At least 8 years of relevant BPC experience which includes 3-4 years of S/4 HANA for Group reporting Qualifications 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 : SAP Integrated Business Planning (IBP) Good to have skills : NA Minimum 12 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 end to end. This involves analyzing and designing/re-designing business processes and defining parts of an organization, contributing to overall efficiency and effectiveness. 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 implementation of business function activities. Analyze and design/re-design business processes. Define parts of the organization. Provide strategic insights for process improvement. Professional & Technical Skills: Must To Have Skills:Proficiency in SAP Integrated Business Planning (IBP). Strong understanding of business process analysis and design. Experience in organizational restructuring and optimization. Knowledge of performance improvement strategies. Hands-on experience in implementing SAP IBP solutions. Additional Information: The candidate should have a minimum of 12 years of experience in SAP Integrated Business Planning (IBP). This position is based at our Pune office. A 15 years full time education is required. Qualifications 15 years full time 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 / 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.

Role & responsibilities Appraise the Loan for the MSME Highlight risks and mitigating measures as appropriate. Responsible for timely sanction and disbursement of MSME loans Ensure that the proposal is underwritten are as per the credit policies and procedures laid down by the company Comply with and ensure that all the processes pertaining to loan sanction has been adhered. Ensure that all required reporting to the management is done as per timelines laid down by the company Locations for Gujarat Kapadwanj Kheralu

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.

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.

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.

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.

About The Role : Role Purpose The purpose of the role is to ensure high levels of customer service as per the contract and defined process and standards of the organization. Do - Ensure high levels of customer service through contract compliance and issue resolution - Ensure SLAs are met and exceeded in the account - Conduct day to day analysis of delivery of services in the account and monitor daily standard service requests - Ensure the company policies and procedures required to deliver high quality services to clients are applied and followed - Identify potential SLA misses and escalate them according to the defined procedure - Work closely with the delivery teams to identify the gaps and improve the process efficiency - Assist in planning and resolution of service incident problems by implementing corrective action plans as discussed - Collate data for the account with regards to the planning, design and improvement of services, including the investigation of all breaches of service level targets - Make recommendations to the Service Delivery Manager of translating repeated non-standard requests into a potential new service offering - Maintain close working relationships with relevant stakeholders to ensure all service-related issues are identified and reported on - Support the implementation of changes to the service agreement, including updating entries and communicating major changes to relevant stakeholders - Responsible for the SLA, Productivity, & Utilization metrics for the assigned account - Prepare timely and accurate MIS reports and dashboards as required by the stakeholders - Ensuring all reports & dashboards are prepared as per stakeholder requirements as per the desired frequency (weekly/ monthly/ quarterly) - Analyze recurring issues in an account and prepare incident reports for relevant stakeholders - Report on repeated service breaches to the delivery assurance manager, against defined SLAs and other contractual agreements - Report on compliance with regards to quality management, risk management, security policies and procedures - Track and follow up with relevant stakeholder for timely updation and data management of parameters (key SLA metrics such as run- rate etc.) - Generate account level reports (billable and non-billable) on forecasting, scheduling (both onshore and offshore) and performance against SLAs, CSAT, Quality etc. Deliver No. Performance Parameter Measure 1 Delivery Assurance for assigned accounts 1) CPM/KPI - count of met /not met against client defined goals; 2) Customer Escalations Closure, Reduction QoQ, ACSAT/NPS; 3) Margin Improvement - Defined/agreed x% improvement, if LOB trending below target & QoQ improvement of 1% for accounts meeting targets 4) Productivity Improvement - Measures:TIO/TOF, Realization, Shrinkages; 5) Solution to deployment variation - % variation of resources from Solution to actual OPS 2 Reporting Quality of Analysis Zero errors in reports Zero non-conformance on timelines with respect to the client/ stakeholder requirements 3 Stakeholder Management Customized dashboards as per client and functional requirements Zero escalations on data reporting Zero non-conformance on security or compliance requirements