2555 Data Science Jobs - Page 50

Project Role :Analytics Practitioner Project Role Description :Develop business insights using predictive statistical modeling activities. Use analytical tools and techniques to generate and improve decision-making by modeling client, market, and key performance data. Must have skills :Data Analytics Good to have skills :NA Minimum 3 year(s) of experience is required Educational Qualification :15 years full time education Summary:As an Analytics & Modeling Practitioner, you will develop business insights using predictive statistical modeling activities. You will use analytical tools and techniques to generate and improve decision-making by modeling client, market, and key performance data. Your typical day will involve leveraging your expertise in data analytics to extract meaningful insights and trends from large datasets. You will collaborate with cross-functional teams to identify business problems and provide data-driven solutions. Additionally, you will contribute to the development and implementation of statistical models to support business strategies and objectives. 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. Develop and implement statistical models to analyze large datasets. Extract meaningful insights and trends from data using data analytics techniques. Collaborate with cross-functional teams to identify business problems and provide data-driven solutions. Conduct data analysis and present findings to stakeholders. Stay updated with the latest trends and advancements in data analytics and modeling. Professional & Technical Skills: Must To Have Skills:Proficiency in Data Analytics. 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 Data Analytics. This position is based at our Kolkata office. A 15 years full time education is required. Qualifications 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. You will collaborate with teams, make team decisions, and provide solutions to problems. Your typical day will involve designing and developing applications, collaborating with multiple teams, and contributing to key decisions. Roles & Responsibilities: Expected to be an SME Collaborate and manage the team to perform Responsible for team decisions Engage with multiple teams and contribute on key decisions Provide solutions to problems for their immediate team and across multiple teams Design and develop applications Collaborate with cross-functional teams Contribute to key decisions Professional & Technical Skills: Must To Have Skills:Proficiency in Databricks Unified Data Analytics Platform Strong understanding of statistical analysis and machine learning algorithms Experience with data visualization tools such as Tableau or Power BI Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information: The candidate should have a minimum of 5 years of experience in Databricks Unified Data Analytics Platform This position is based at our Bengaluru office A 15 years full time education is required Qualifications 15 years full time education

Project Role :Application Lead Project Role Description :Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills :SAP Sales and Distribution (SD) Good to have skills :NA Minimum 7.5 year(s) of experience is required Educational Qualification :15 years full time education Summary:As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. Roles & Responsibilities: Expected to be an SME Collaborate and manage the team to perform Responsible for team decisions Engage with multiple teams and contribute on key decisions Provide solutions to problems for their immediate team and across multiple teams Lead the effort to design, build, and configure applications Act as the primary point of contact Manage the team and ensure successful project delivery Professional & Technical Skills: Must To Have Skills:Proficiency in SAP Sales and Distribution (SD) Strong understanding of statistical analysis and machine learning algorithms Experience with data visualization tools such as Tableau or Power BI Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information: The candidate should have a minimum of 7.5 years of experience in SAP Sales and Distribution (SD) This position is based at our Bengaluru office A 15 years full-time education is required Qualifications 15 years full time education

Project Role :AI Platform Engineer Project Role Description :Develops applications and systems that utilize AI to improve performance and efficiency, including but not limited to deep learning, neural networks, chatbots, natural language processing. Must have skills :Natural Language Processing (NLP) Good to have skills :No Technology Specialization Minimum 10+ year(s) of experience is required

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

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Tableau Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer in the Data Engineering team, you will be responsible for designing, building, and configuring applications to meet business process and application requirements. You will play a crucial role in developing efficient and scalable solutions to process and analyze data. 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 understand business requirements. Design and develop applications using Tableau to visualize and analyze data. Build and maintain data pipelines to ensure efficient data processing and storage. Perform data quality checks and implement data cleaning and transformation techniques. Optimize application performance and troubleshoot any issues that arise. Stay up-to-date with industry trends and best practices in application development and data engineering. Provide technical guidance and mentor junior team members. Professional & Technical Skills: Must To Have Skills:Proficiency in Tableau. Strong understanding of statistical analysis and machine learning algorithms. Experience with data visualization tools such as Tableau or Power BI. Hands-on experience 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 Tableau. This position is based at our Hyderabad office. A 15 years full time education is required. Qualifications 15 years full time education

Job Title :Industry & Function AI Data Engineer + S&C GN Management Level :09 - Consultant Location :Primary - Bengaluru, Secondary - Gurugram Must-Have Skills :Data Engineering expertise, Cloud platforms:AWS, Azure, GCP, Proficiency in Python, SQL, PySpark and ETL frameworks Good-to-Have Skills :LLM Architecture, Containerization tools:Docker, Kubernetes, Real-time data processing tools:Kafka, Flink, Certifications like AWS Certified Data Analytics Specialty, Google Professional Data Engineer,Snowflake,DBT,etc. Job Summary : As a Data Engineer, you will play a critical role in designing, implementing, and optimizing data infrastructure to power analytics, machine learning, and enterprise decision-making. Your work will ensure high-quality, reliable data is accessible for actionable insights. This involves leveraging technical expertise, collaborating with stakeholders, and staying updated with the latest tools and technologies to deliver scalable and efficient data solutions. Roles & Responsibilities: Build and Maintain Data Infrastructure:Design, implement, and optimize scalable data pipelines and systems for seamless ingestion, transformation, and storage of data. Collaborate with Stakeholders:Work closely with business teams, data analysts, and data scientists to understand data requirements and deliver actionable solutions. Leverage Tools and Technologies:Utilize Python, SQL, PySpark, and ETL frameworks to manage large datasets efficiently. Cloud Integration:Develop secure, scalable, and cost-efficient solutions using cloud platforms such as Azure, AWS, and GCP. Ensure Data Quality:Focus on data reliability, consistency, and quality using automation and monitoring techniques. Document and Share Best Practices:Create detailed documentation, share best practices, and mentor team members to promote a strong data culture. Continuous Learning:Stay updated with the latest tools and technologies in data engineering through professional development opportunities. Professional & Technical Skills: Strong proficiency in programming languages such as Python, SQL, and PySpark Experience with cloud platforms (AWS, Azure, GCP) and their data services Familiarity with ETL frameworks and data pipeline design Strong knowledge of traditional statistical methods, basic machine learning techniques. Knowledge of containerization tools (Docker, Kubernetes) Knowing LLM, RAG & Agentic AI architecture Certification in Data Science or related fields (e.g., AWS Certified Data Analytics Specialty, Google Professional Data Engineer) Additional Information: The ideal candidate has a robust educational background in data engineering or a related field and a proven track record of building scalable, high-quality data solutions in the Consumer Goods sector. This position offers opportunities to design and implement cutting-edge data systems that drive business transformation, collaborate with global teams to solve complex data challenges and deliver measurable business outcomes and enhance your expertise by working on innovative projects utilizing the latest technologies in cloud, data engineering, and AI. About Our Company | Qualifications Experience :Minimum 3-7 years in data engineering or related fields, with a focus on the Consumer Goods Industry Educational Qualification :Bachelors or Masters degree in Computer Science, Information Systems, Engineering, or a related field

Project Role AI / ML Engineer Project Role Description Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills Large Language Models Good to have skills NA Minimum 18 year(s) of experience is required Educational Qualification 15 years full time education SummaryAs an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, with a proper cloud or on-prem application pipeline of production-ready quality. You will apply GenAI models as part of the solution, incorporating deep learning, neural networks, chatbots, and image processing into your workday. Roles & Responsibilities- Expected to be a SME with deep knowledge and experience.- Should have influencing and Advisory skills.- Engage with multiple teams and responsible for team decisions.- Expected to provide solutions to problems that apply across multiple teams.- Provide solutions to business area problems.- Contribute to the development of innovative AI/ML solutions.- Collaborate with cross-functional teams to implement AI models effectively.- Stay updated on the latest AI/ML trends and technologies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of AI/ML algorithms and techniques.- Experience with cloud AI services and application pipelines.- Knowledge of deep learning, neural networks, and image processing.- Hands-on experience in developing AI applications.- Familiarity with GenAI models and their application. Additional Information- The candidate should have a minimum of 18 years of experience in Large Language Models.- This position is based at our Pune office.- A 15 years full-time education is required. Qualification 15 years full time education

Skill required: Delivery - HR Analytics Designation: I&F Decision Sci Practitioner Sr Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years What would you do? Data & AIA set of tasks to provide insights about the effectiveness of HR processes, procedures and policies, help make data-driven decisions based on the information collected and help HR to move from operational to tactical or strategic partner. What are we looking for? Talent and HR Analytics HR Reporting Agility for quick learning Commitment to quality Prioritization of workload Written and verbal communication Data Understanding Machine Learning Data Science Roles and Responsibilities: In this role you are required to do analysis and solving of increasingly complex problems Your day-to-day interactions are with peers within Accenture You are likely to have some interaction with clients and/or Accenture management You will be given minimal instruction on daily work/tasks and a moderate level of instruction on new assignments Decisions that are made by you impact your own work and may impact the work of others In this role you would be an individual contributor and/or oversee a small work effort and/or team Please note that this role may require you to work in rotational shifts Qualifications Any Graduation

Project Role : Quality Engineering Lead (Test Lead) Project Role Description : Leads a team of quality engineers through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. Applies business and functional knowledge to develop end-to-end testing strategies through the use of quality processes and methodologies. Applies testing methodologies, principles and processes to define and implement key metrics to manage and assess the testing process including test execution and defect resolution. Must have skills : API Testing Good to have skills : Python (Programming Language), Java Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Quality Engineering Lead (Test Lead), you will lead a team of quality engineers through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. Apply business and functional knowledge to develop end-to-end testing strategies using quality processes and methodologies. Roles & Responsibilities: Expected to be an SME. Collaborate and manage the team to perform. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Provide solutions to problems for their immediate team and across multiple teams. Lead team planning and ecosystem integration. Develop end-to-end testing strategies using quality processes. Define and implement key metrics to manage and assess the testing process. Professional & Technical Skills: Must To Have Skills: Proficiency in API Testing. 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. Must to have additional skills - Python, Java. Additional Information: The candidate should have a minimum of 5 years of experience in API Testing. This position is based at our Gurugram office. A 15 years full time education is required. Qualification 15 years full time education

Project Role : Business Function Implementation Lead Project Role Description : Plan and lead the implementation of all activities for a specific business function to improve performance for the business function end to end. Ensure alignment with business requirements including process analysis, design/re-design and/or organization structure definition. Must have skills : SAP CO Product Cost Controlling Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : BE Summary :As a Business Function Implementation Lead, you will plan and lead the implementation of all activities for a specific business function to improve performance for the business function end to end. You will ensure alignment with business requirements including process analysis, design/re-design, and/or organization structure definition. Your typical day will involve strategizing and executing plans to optimize the performance of the business function, analyzing processes, and defining organizational structures to enhance 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 Provide solutions to problems for their immediate team and across multiple teams Lead the implementation of all activities for a specific business function Analyze processes and identify areas for improvement Define/redefine organization structure to enhance efficiency and effectiveness Professional & Technical Skills: Must To Have Skills:Proficiency in SAP CO Product Cost Controlling Strong understanding of statistical analysis and machine learning algorithms Experience with data visualization tools such as Tableau or Power BI Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information: The candidate should have a minimum of 5 years of experience in SAP CO Product Cost Controlling This position is based at our Bengaluru office A BE degree is required Qualifications BE

Project Role : Technology Educator Project Role Description : Instrumental in keeping technology talent market relevant, by upskilling and cross skilling them. Primarily responsible for delivering foundational training in technology, delivery, professional development and industry content. Contribute to course content development and creation of questions for certification and assessments. Must have skills : Machine Learning Good to have skills : No Function Specialty Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Technology Educator, you will play a crucial role in keeping the technology talent market relevant by upskilling and cross-skilling individuals. Your responsibilities will include delivering foundational training in technology, professional development, and industry content, as well as contributing to course content development and assessment creation. Roles & Responsibilities: Expected to be an SME. Collaborate and manage the team to perform. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Provide solutions to problems for their immediate team and across multiple teams. Develop and implement innovative training programs. Evaluate training effectiveness and make necessary adjustments. Stay updated on industry trends and incorporate relevant content into training programs. Professional & Technical Skills: Must To Have Skills:Proficiency in Machine Learning. Strong understanding of statistical analysis and machine learning algorithms. Experience with data visualization tools such as Tableau or Power BI. Hands-on experience implementing various machine learning algorithms. Solid grasp of data munging techniques for data quality and integrity. Additional Information: The candidate should have a minimum of 5 years of experience in Machine Learning. This position is based at our Bengaluru office. A 15 years full-time education is required. Qualifications 15 years full time education

Job Title: Industry Function AI Decision Science Consultant- SC Global Network Management Level: 9- Consultant Location: Primary - Bengaluru, Secondary - Gurugram Must-Have Skills: Data Science, AI, ML, Experience with cloud platforms such as AWS, Azure, or Google Cloud, Hands-on experience in programming languages like Python, R, PySpark, and SQL Good-to-Have Skills: Deep Learning Techniques (e.g. RNN, CNN), Visualization tools like Power BI and Tableau, Exposure to tools like ChatGPT, Llama 2, Hugging Face, etc. Job Summary : As an Industry Function AI Decision Science Consultant, you will leverage your expertise in data science and Consumer Goods domain knowledge to design and deliver AI-driven solutions. Your role will include strategic analysis, project delivery, solution development, and technical execution to empower businesses with actionable insights and enable automated and augmented decision-making. Roles Responsibilities: Conduct strategic analysis of the AI, analytics, and data maturity landscape for clients in the Consumer Goods domain Lead data science engagements, manage delivery teams, and build innovative AI capabilities Develop and implement advanced analytics solutions tailored to client requirements Utilize languages like Python, PySpark, R, and SQL for data wrangling and machine learning model development Leverage cloud technologies (Azure, AWS, GCP) to integrate and implement AI solutions Translate complex data into compelling narratives for effective data storytelling Mentor junior team members and contribute to thought leadership Professional Technical Skills: Proficiency in Python, R, PySpark, and SQL Strong knowledge of traditional statistical methods, machine learning techniques, and deep learning Hands-on experience in Consumer Goods Services domain Cloud integration skills with platforms like AWS, Azure, or Google Cloud Experience with optimization techniques (exact and evolutionary) Certifications like AWS Certified Data Analytics Specialty or Google Professional Data Engineer Familiarity with visualization tools like Tableau and Power BI Exposure to large language models (e.g., ChatGPT, Llama 2) Familiarity with version control systems like Git. Additional Information: The ideal candidate will have a strong educational background in data science, computer science, or a related field, along with a proven track record of delivering impactful AI-driven solutions in the Consumer Goods industry. About Our Company | Qualifications Experience: Minimum 4-8 years of hands-on experience in data science with a focus on the Consumer Goods industry Educational Qualification: Bachelors or Masters degree in Statistics, Economics, Mathematics, Computer Science, or equivalent degree with Data Science specialization (from a premier institute)

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP Analytics Cloud Planning Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Roles & Responsibilities: Expected to be an SME, collaborate and manage the team to perform. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Provide solutions to problems for their immediate team and across multiple teams. Lead the effort to design, build, and configure applications. Act as the primary point of contact for the project. Manage the team and ensure successful project delivery. Collaborate with stakeholders to gather requirements and provide technical guidance. Professional & Technical Skills: Must To Have Skills:Proficiency in SAP Analytics Cloud Planning. 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.-The candidate should have a minimum of 7.5 years of experience in SAP Analytics Cloud Planning. Additional Information: A minimum of 15 years of education is required. Qualifications 15 years full time education

Project Role : Application Tech Support Practitioner Project Role Description : Act as the ongoing interface between the client and the system or application. Dedicated to quality, using exceptional communication skills to keep our world class systems running. Can accurately define a client issue and can interpret and design a resolution based on deep product knowledge. Must have skills : Wireless Technologies Operations Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Tech Support Practitioner, you will act as the ongoing interface between the client and the system or application. You will be dedicated to quality, using exceptional communication skills to keep our world-class systems running. With your deep product knowledge, you will accurately define client issues and design resolutions. Your typical day will involve providing ongoing support to clients, troubleshooting technical issues, and ensuring smooth system operations. 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. Provide ongoing support to clients, addressing their technical issues and concerns. Troubleshoot system or application problems and provide timely resolutions. Collaborate with cross-functional teams to ensure smooth system operations. Stay updated with the latest product knowledge and industry trends. Identify areas for process improvement and suggest innovative solutions. Professional & Technical Skills: Must To Have Skills:Proficiency in Wireless Technologies Operations. Strong understanding of statistical analysis and machine learning algorithms. Experience with data visualization tools such as Tableau or Power BI. Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: The candidate should have a minimum of 3 years of experience in Wireless Technologies Operations. This position is based at our Bengaluru office. A 15 years full-time education is required. Qualifications 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : ServiceNow Governance, Risk, and Compliance (GRC) Good to have skills : ServiceNow IT Service Management Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for ensuring the successful delivery of projects and collaborating with cross-functional teams to achieve project goals. Your creativity and expertise will contribute to the development of innovative solutions and drive the success of our applications. Roles & Responsibilities: Expected to be an SME, collaborate and manage the team to perform. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Provide solutions to problems for their immediate team and across multiple teams. Lead the effort to design, build, and configure applications. Act as the primary point of contact for project-related activities. Ensure the successful delivery of projects. Collaborate with cross-functional teams to achieve project goals. Professional & Technical Skills: Must To Have Skills:Proficiency in ServiceNow Governance, Risk, and Compliance (GRC). 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 ServiceNow Governance, Risk, and Compliance (GRC). This position is based in Mumbai with location flex for cross location resource. A 15 years full-time education is required. Qualifications 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP for Banking Good to have skills : No Function Specialty Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for overseeing the entire application development process and ensuring its successful implementation. Your role will involve collaborating with cross-functional teams, managing the team's performance, and making key decisions. You will provide solutions to problems for your immediate team and across multiple teams, contributing to the overall success of the project. Roles & Responsibilities: Expected to be an SME Collaborate and manage the team to perform Responsible for team decisions Engage with multiple teams and contribute to key decisions Provide solutions to problems for their immediate team and across multiple teams Lead the effort to design, build, and configure applications Act as the primary point of contact for application-related matters Oversee the entire application development process Professional & Technical Skills: Must To Have Skills:Proficiency in SAP for Banking Strong understanding of statistical analysis and machine learning algorithms Experience with data visualization tools such as Tableau or Power BI Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information: The candidate should have a minimum of 7.5 years of experience in SAP for Banking This position is based at our Bengaluru office A 15 years full-time education is required Qualifications 15 years full time education

Skill required: Delivery - Advanced Analytics Designation: I&F Decision Sci Practitioner Specialist Qualifications: Master of Engineering/Masters in Business Economics Years of Experience: 7 to 11 years 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 - Marketing Analytics and Reporting Designation: I&F Decision Sci Practitioner Sr Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years What would you do? Data & AIAnalytical processes and technologies applied to marketing-related data to help businesses understand and deliver relevant experiences for their audiences, understand their competition, measure and optimize marketing campaigns, and optimize their return on investment. What are we looking for? Data Analytics - with a specialization in the marketing domain*Domain Specific skills* Familiarity with ad tech and B2B sales*Technical Skills* Proficiency in SQL and Python Experience in efficiently building, publishing & maintaining robust data models & warehouses for self-ser querying, advanced data science & ML analytic purposes Experience in conducting ETL / ELT with very large and complicated datasets and handling DAG data dependencies. Strong proficiency with SQL dialects on distributed or data lake style systems (Presto, BigQuery, Spark/Hive SQL, etc.), including SQL-based experience in nested data structure manipulation, windowing functions, query optimization, data partitioning techniques, etc. Knowledge of Google BigQuery optimization is a plus. Experience in schema design and data modeling strategies (e.g. dimensional modeling, data vault, etc.) Significant experience with dbt (or similar tools), Spark-based (or similar) data pipelines General knowledge of Jinja templating in Python. Hands-on experience with cloud provider integration and automation via CLIs and APIs*Soft Skills* Ability to work well in a team Agility for quick learning Written and verbal communication Roles and Responsibilities: In this role you are required to do analysis and solving of increasingly complex problems Your day-to-day interactions are with peers within Accenture You are likely to have some interaction with clients and/or Accenture management You will be given minimal instruction on daily work/tasks and a moderate level of instruction on new assignments Decisions that are made by you impact your own work and may impact the work of others In this role you would be an individual contributor and/or oversee a small work effort and/or team Please note that this role may require you to work in rotational shifts Qualifications Any Graduation

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Workday Core Integrations, Workday Studio, Workday Extend Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : Proficient in Workday Studio and Extend development for customizing Workday solutions and Mandatory to have Workday Related Certifications Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for overseeing the entire application development process and ensuring its successful implementation. Your role will involve collaborating with various teams and stakeholders to deliver high-quality solutions. Roles & Responsibilities: Expected to be an SME, collaborate and manage the team to perform. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Provide solutions to problems for their immediate team and across multiple teams. Lead the effort to design, build, and configure applications. Act as the primary point of contact for all application-related matters. Collaborate with various teams and stakeholders to ensure successful implementation. Oversee the entire application development process. Manage and coordinate resources to deliver high-quality solutions. Professional & Technical Skills: Must To Have Skills:Proficiency in Workday Core Integrations, Workday Studio, and Workday Extend. Good To Have Skills:Experience with Workday Related Certifications. Strong understanding of Workday Studio and Extend development for customizing Workday solutions. Experience with integrating Workday Core Integrations into applications. Hands-on experience with Workday Studio and Extend development tools. Solid grasp of data munging techniques for data quality and integrity. Additional Information: The candidate should have a minimum of 5 years of experience in Workday Core Integrations. This position is based at our Bengaluru office. Proficient in Workday Studio and Extend development for customizing Workday solutions and Mandatory to have Workday Related Certifications. Qualifications Proficient in Workday Studio and Extend development for customizing Workday solutions and Mandatory to have Workday Related Certifications

Project Role Software Development Lead Project Role Description Develop and configure software systems either end-to-end or for a specific stage of product lifecycle. Apply knowledge of technologies, applications, methodologies, processes and tools to support a client, project or entity. Must have skills Data Analytics Good to have skills NA Minimum 7.5 year(s) of experience is required Educational Qualification 15 years full time education SummaryAs a Software Development Lead, you will be responsible for developing and configuring software systems, applying knowledge of technologies, methodologies, and tools to support projects or clients in Mumbai. You will lead a team in delivering high-quality solutions and ensuring project success. Roles & Responsibilities- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the team in project planning and execution- Mentor team members and provide guidance- Ensure project milestones are met on time Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Analytics- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information- The candidate should have a minimum of 7.5 years of experience in Data Analytics- This position is based at our Mumbai office- A 15 years full time education is required Qualification 15 years full time education

Platforms (Energy) Specialist Find endless opportunities to solve our clients' toughest challenges, as you work with exceptional people, the latest tech and leading companies across industries. Practice: Energy, Industry Consulting, Capability Network I Areas of Work: Platforms | Level: Analyst | Location: Delhi, Gurgaon, Mumbai, Bangalore | Years of Exp: 0-3 years Explore an Exciting Career at Accenture Are you an outcome-oriented problem solver? Do you enjoy working on transformation strategies for global clients? Does working in an inclusive and collaborative environment spark your interest? Then, Accenture Strategy and Consulting is the right place for you to explore limitless possibilities. As a part of the Energy practice, that blends deep functional and industry knowledge, you will accelerate the reinvention journey for companies, helping them achieve profitability and staying relevant in the years ahead. Together, let's make the future of oil and gas - safer, smarter and cleaner. In this practice, you'll help drive the following: Collaborate with stakeholders to deliver client projects and develop Digital Centers of Excellence to unlock new opportunities and drive efficiencies. Manage end-to-end delivery of projects for downstream clients in the areas of strategic decision-making, project management, digital transformation, cost optimization and so on. Accelerate clients' transformation journey towards a more connected, optimized, lean and agile organization. Assist senior management and leadership for drafting proposals, writing client pitches, and developing solution architecture. Identify and quantify cutting edge industry specific digital disruption opportunities through convergence of analytics & digital capability. Bring your best skills forward to excel in the role: Ability to solve complex business problems and deliver client delight Ability to multitask and streamline multiple projects Strong writing skills to build point of views on current trends in the industry Impeccable team management skills will an ability to engage effectively with multiple stakeholders Good analytical and problem-solving skills with an aptitude to learn fast Excellent communication, interpersonal and presentation skills Cross-cultural competence with an ability to thrive in a dynamic environment Read more about us. Recent Blogs Your experience counts! MBA from Tier-I business school 0-3 years of work experience including 1 year of consulting experience Basic knowledge of Oil & Gas value chain in at least one industry segment (Upstream or Downstream) Broad knowledge in functional areas of Order to Cash, Purchase to Pay, Acquire to Retire, Record to Report is required Should have basic knowledge in any one or more of the following SAP S/4 Oil & Gas Downstream Oil and Gas SAP S/4 Oil & Gas Upstream Oil and Gas (SAP S/4 FIN+ Joint Venture accounting or Upstream Operations management.) SAP S/4 Sales and Distribution & C4C will be a plus SAP S/4 Material Management & Ariba will be a plus SAP S/4 Enterprise Asset Management SAP S/4 Production planning & Quality Management. SAP S/4 certification in any of the above SAP modules will be a plus. Must have experience working with Excel, MS PowerPoint. Knowledge of Power BI and other data analytics tools is a plus, but not mandatory. Qualifications What’s in it for you? An opportunity to work on transformative projects with key G2000 clients Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners and, business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everything—from how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge and capabilities Opportunity to thrive in a culture that is committed to accelerate equality for all. Engage in boundaryless collaboration across the entire organization.

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 Analytics Cloud Planning Good to have skills : SAP Analytics Cloud Development, No Function Specialty Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your day will involve overseeing the application development process and ensuring successful project delivery. Roles & Responsibilities: Expected to be an SME Collaborate and manage the team to perform Responsible for team decisions Engage with multiple teams and contribute on key decisions Provide solutions to problems for their immediate team and across multiple teams Lead the application development process Ensure successful project delivery Professional & Technical Skills: Must To Have Skills:Proficiency in SAP Analytics Cloud Planning Good To Have Skills:Experience with SAP Analytics Cloud 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 7.5 years of experience in SAP Analytics Cloud Planning This position is based at our Pune office A 15 years full-time education is required Qualifications 15 years full time education

Data Analyst (AI & ML Techniques for Large Data Sets) We are looking for a skilled Data Analyst with expertise in working with large data sets, leveraging AI (Artificial Intelligence) and ML (Machine Learning) techniques to extract insights, build predictive models, and deliver actionable business solutions. The ideal candidate will possess strong analytical skills, technical proficiency, and a passion for working with data to solve complex problems. Job Description (Primary Responsibilities) 1. Data Collection and Preparation: Collect, clean, and preprocess large volumes of structured and unstructured data from multiple sources. Develop and maintain data pipelines to ensure the accurate and efficient processing of data. Handle data inconsistencies, missing values, and outliers, ensuring high-quality, usable datasets for analysis. 2. Exploratory Data Analysis (EDA): Perform detailed exploratory data analysis (EDA) to understand data patterns, trends, and relationships. Visualize data using tools such as Tableau or Power BI to identify key insights and drive decision-making. 3. AI and Machine Learning Model Development: Apply AI and machine learning algorithms (e.g., classification, regression, clustering, deep learning) to build predictive and prescriptive models. Train, tune, and evaluate machine learning models to optimize their performance. Automate model deployment and update processes for continuous improvement in accuracy and efficiency. 4. Advanced Analytics: Use statistical methods and machine learning techniques to forecast trends, identify anomalies, and detect patterns in large data sets. Apply natural language processing (NLP) and computer vision techniques for text and image data analysis when needed. 5. Data Visualization and Reporting: Communicate findings clearly through visualizations and reports to stakeholders across the organization. Present complex data insights in an accessible and actionable format for both technical and non-technical audiences. 6. Collaboration and Communication: Work closely with cross-functional teams to understand business needs and objectives. Provide analytical support to business stakeholders by offering data-driven insights and recommendations. 7. Continuous Improvement: Stay updated on the latest trends in AI/ML technologies and data analytics. Continuously evaluate and implement new techniques to improve the quality and efficiency of analysis. Explore new ways to automate repetitive tasks and improve business operations through data-driven solutions. Desired Skills/Qualifications: Education: Engineer from tier 1 college(IITs/RECs/NSUT/DTU), Bachelors or Masters degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. MBA or CFA a plus Experience: 2-5 years of experience in data analysis, data science, or machine learning roles, with hands-on experience in managing and analyzing large datasets. Skills: Proficiency in Python, R, or similar programming languages for data analysis and machine learning. Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikitlearn. Familiarity with AI techniques, including deep learning, reinforcement learning, and NLP. Strong knowledge of SQL for querying large data sets. Expertise in data visualization tools (e.g., Tableau, Power BI). Experience with big data platforms and tools (e.g., Hadoop, Spark) is a plus. Familiarity with cloud platforms (AWS, GCP, Azure) for data storage and processing. Soft Skills: Strong problem-solving and critical-thinking abilities. Excellent communication and presentation skills. Ability to work independently and as part of a team. Attention to detail and the ability to work with complex data sets. Preferred Qualifications: Experience with deploying machine learning models to production environments. Knowledge of advanced analytics techniques such as time series forecasting, anomaly detection, or reinforcement learning. Experience in a real estate industry is a plus. Amhersts core values: Culture & Conduct: Positive attitude with high integrity. Agile in adapting to a dynamic environment with emerging datapoints. We do the right thing the right way and are accountable for our actions. Client-Centricity & Business Acumen: Strong Team player, multiple internal/external stakeholders management, Communication & Connectivity: Strong written and verbal communication skills with clients and management. Collaboration We align, contribute, and win together. Execution & Delivery: Self-starter, Proactive, motivated, driven personality, Excellent organizational and time management skills. Agility We are nimble and responsive. Community We empower and support people to create a sense of belonging for all. Working Shift/ arrangement: US Shift (1:30 PM 10:30 PM IST), Flexible - Hybrid working model

Job Role: Data Scientist Experience: 5-8 years Location: Bangalore, India Employment Type: Full Time, Hybrid. About Cognizant Join a rapidly growing consulting and IT services Fortune 500 company with around 350,000 employees worldwide, a very flexible international business, customers that are leaders in their respective sectors, and a high level of commitment. Cognizant Advanced AI Lab / Neuro AI team The Cognizant AI Labs were created to pioneer scientific innovation and bridge the gap to commercial applications. The AI Labs collaborate with institutions, academia and technology partners to develop groundbreaking AI solutions responsibly. The Lab’s mission is to maximize human potential with decision AI, a combination of multi-agent architectures, generative AI, deep learning, evolutionary AI and trustworthy techniques to create sophisticated decision-making systems. Through scientific publications, open-source software, AI for Good projects and the Cognizant Neuro® AI decisioning platform and Multi-Agent Accelerator, the AI Labs support our goal of improving everyday life. Your role: As a data scientist and software engineer you will develop the Neuro AI platform and use it on a variety of projects related to optimizing data-driven decision making. You are a data scientist, Python developer and AI researcher with knowledge in multiple technologies; you are driven, curious and passionate about your work; you are innovative, creative and focused on excellence; and you want to be part of an ego-free work environment where we value honest, healthy interactions and collaboration. Key responsibilities: Design, implement and deploy software applications that analyze datasets, train predictive and prescriptive models, assess uncertainties and interactively present results to end users Monitor and analyze the performance of software applications and infrastructure Collaborate with cross-functional teams to identify and prioritize business requirements Research, design and implement novel AI systems to support decision-making processes Work with the research team to publish papers and patents Communicate research findings to both technical and non-technical audiences Provide guidance on our Neuro AI offering and AI best practices Work in a highly collaborative, fast-paced environment with your peers on the Neuro AI platform and research teams Your profile: PhD or Master’s in Data Science, Computer Science, Statistics, Mathematics, Engineering or related field 5-8 years of experience in artificial intelligence, machine learning, data science and software engineering Strong programming skills in Python with Pandas, Numpy, TensorFlow, PyTorch, Jupyter Notebook, GitHub Experience with handling large datasets, data engineering, statistical analysis, and building predictive models Experience developing AI software platforms and tools Knowledge of data visualization tools (e.g. Matplotlib, Tableau, ) Knowledge of Generative AI and LLMs is a plus Utilize cloud platforms for data processing and analytics, optimize cloud-based solutions for performance, cost, and scalability Strong problem-solving and analytical skills Strong attention to detail and ability to work independently Ability to leverage design thinking, business process optimization, and stakeholder management skills