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Senior Associate Finance-R&D What you will do Let’s do this. Let’s change the world. In this vital role you will you will report to the Director of Consolidation in R&D Finance. The R&D Finance Senior Associate will assist in planning, quarter close and consolidation activities. The candidate is also expected to expand the centralization, automation and standardization practices established in R&D Finance team. In addition, the candidate is expected to provide support and guidance to other senior finance associates based in Amgen India. Experienced FP&A professional skilled in comprehensive financial data management, financial analysis and forecasting, ad hoc project financial support, and process optimization. Support functional and consolidation teams in R&D finance including Research, Development and the Office of the Chief Medical Office Master Data Maintenance including but not limited to managing and updating financial master data across all systems to ensure accuracy and integrity, cost center creation, modification, and deactivation, aligning them with the organizational structure, creation of Work Breakdown Structures (WBS) for precise project tracking and financial reporting. Provide headcount and staffing support by maintaining relevant data and assisting in workforce planning. Support efficient data migration from the business planning tool to financial system FE&O and Staff Support planning and Variance AnalysisConduct variance analysis to identify trends and discrepancies between actuals and forecasts. Forecasting of certain trended/low risk planning accounts Provide functional support related to certain function specific process like FSP reporting for BARDA, GMIP, Milestones planning, Functional/Corporate transfers Product Coding and Recovery OptimizationSupport product coding processes and recovery methods to improve financial accuracy and efficiency. Handle Non-Time Sensitive RequestsManage ad-hoc financial requests that are not time-sensitive, providing accurate and timely support to stakeholders. We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Master’s degree and 1 to 2 years of accounting and/or finance (OR) Bachelor’s degree and 3 to 6 years accounting and/or finance (OR) Diploma and 8 to 10 years of accounting and/or finance experience Preferred Qualifications: Pharmaceutical / biotechnology industry experience Knowledge and understanding of financial planning processes, quarter close activities Strong analytical skills and exceptional attention to detail Excellent discernment (e.g., knowledge of business drivers, finding solutions, and knowledge of accounting, finance, and other business areas) Good To Have Skills Big 4 and Fortune 500 FP&A experience Capable of building models and financial reports Solid technical finance knowledge and skills (accounting, planning, modeling, etc.) Solid overall knowledge of financial systems and tools (e.g., SAP, Hyperion, Anaplan, Excel) Proven business partnering skills Proven ability to work effectively in ambiguous situations and team environment Soft Skills: Effective analytical and communication skills (both verbal and written) Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Collaborative, with a focus on achieving team goals What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now for a career that defies imagination Objects in your future are closer than they appear. Join us. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

What you will do Let’s do this. Let’s change the world. In this vital role you will be responsible for manipulating large databases and generating reports to partner with epidemiologists to explore and generate RWE from real-world healthcare data assets. The ideal candidate should possess a bachelor’s degree and have at least six years of relevant career experience in statistical programming. Proficiency in SQL programming and SAS or R programming is required. The successful candidate will demonstrate scientific and technical excellence, exceptional oral and written communication skills, problem-solving abilities, and meticulous attention to detail. The ability to work effectively within a large, globally distributed team is essential. Responsibilities: Provide technical solutions to programming problems within CfOR(Centre for Observational research). Lead and develop technical programming and process improvement initiatives within CfOR Represent the programming function and participate in multidisciplinary project team meetings Project manage programming activities, according to agreed resource and timeline plans Ensure programming activities adhere to departmental standards and SOPs Write and/or review and approve programming plans Write and/or review and approve analysis dataset specifications Review and approve key study-related documents produced by other functions, e.g. SAPs, CRF, Data Management Plan, etc. Write, test and validate software programs in Unix to produce analysis datasets and presentation output, to be included in reports for submission to regulatory agencies, publications and other communications Write, test, validate and execute department-, product- and protocol-level macros and utilities Oversee the work of outsourced resources assigned to projects Lead and/or participate in the development and review of CfOR policies, SOPs and other controlled documents Participate in study and systems audits by Clinical Quality Assurance (CQA) and external bodies, and respond to audit questions and findings Participate in the recruitment of programming staff Actively participate in external professional organizations, conferences and/or meetings Provide input to and participate in intra-departmental and CfOR meetings Contribute to the continuous improvement of programming, CfOR, and Research and Development (R&D) Manage staff performance and oversee staff assignments and utilization Relevant statistical programming, systems engineering or application programming experience in a clinical development or life sciences setting What we expect of you We are all different, yet we all use our unique contributions to serve patients. The [vital attribute] professional we seek is a [type of person] with these qualifications. Basic Qualifications: Doctorate degree OR Master’s degree and 4 to 6 years of Computer Science, Statistics, Mathematics, Life Sciences, Economics or other relevant scientific subject experience OR Bachelor’s degree and 6 to 8 years of Computer Science, Statistics, Mathematics, Life Sciences, Economics or other relevant scientific subject experience OR Diploma and 10 to 12 years of Computer Science, Statistics, Mathematics, Life Sciences, Economics or other relevant scientific subject experience Preferred Qualifications: Managerial experience directly managing people and/or leadership experience leading teams, projects, programs or directing the allocation of resources in statistical programming projects Training or experience using the Observational Medical Outcomes Partnership (OMOP) common data model. Experience: Real-world evidence (RWE) generation in pharmaceutical or related research industries, or statistical programming for clinical trials Team management Global collaboration Request fulfillment oversight, clarifying requirements, project tracking, project fulfillment, statistical programming, issue resolution, expert resource, results delivery Statistical programmingSQL required; SAS or R required; Python preferred Experience working with real-world healthcare data (RWD) such as healthcare claims (MarketScan, Optum Clinformatics, Medicare) and EHR databases (Optum EHR PanTher, Flatiron, CPRD, MDV) Key Competencies Hands-on programming and lead role Expert statistical programming knowledge using SAS or R RequiredSAS or R RequiredSQL PreferredPython Excellent verbal and written communication skills in English Ability to have efficient exchanges with colleagues across geographical locations Agile project management Real-world data (RWD) including insurance claims databases, electronic medical records and patient registries; for example, MarketScan, Optum, PharMetrics, Flatiron, Medicare OMOP common data model Drug development life cycle Statistics and basic epidemiologyIncidence and prevalence [Required for Regulatory RWE role]CDISC (SDTM, ADaM) Scientific / technical excellence Oral and written communication, documentation skills Leadership Innovation Teamwork Problem solving Attention to detail What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now for a career that defies imagination Objects in your future are closer than they appear. Join us. careers.amgen.com

The Specialist Business Systems Analyst for the R&D Data Ca talyst Team is res ponsible for defining and specifying features for several technology products supporting R&D Precision medicine. These products are principally Data Management and Knowledge Management tools that provide the Amgen scientific community with visibility to Amgen’s wealth of human datasets, projects and study histories, and knowledge over various scientific findings. These are not transactional solutions but rather visibility solutions that are based on enterprise data mastering, standardization, harmonization, and linking, and federated visibility into multiple data repositories. These solutions are pivotal tools in Amgen’s goal to accelerate speed to discovery, and speed to market of advanced precision medications. This role involves close collaboration with Architecture and Engineering leaders supporting this product team, and related product teams, along with User representative stakeholders to define and prioritize features, and provide a roadmap for feature development . The successfully candidate will be an exceptional data analyst, with an ability to quickly learn terminology and business process from across the entire Amgen business. Roles & Responsibilities Perform data analysis and data profiling to surface range of values in various data sources and propose unification logic Create and maintain the feature backlog in Jira, documenting the detailed specifications based on data analysis and Collaborate with stakeholders to gather and document product requirements, user stories, and acceptance criteria Work closely with the business teams, Scrum Master and development team to plan and execute sprints, reviewing feature iterations and providing feedback Develop User Guides and Release Notes Create robust written materials, including product documentation, product backlog and user stories, and creating other need artifacts to assure efficient and effective coordination across timezones . Define, monitor , and manage service level agreements (SLAs) to ensure the service meets performance and availability requirements Oversee the resolution of service-related incidents and problems, ensuring minimal impact on business operations Analyze product performance data, customer behavior, and market trends to inform product decisions Create and maintain reports and dashboards that provide insights into product performance, user engagement, and other key metrics Conduct market research and competitive analysis to identify opportunities and inform product strategy Analyze customer feedback and support data to identify pain points and opportunities for product improvement Basic Qualifications and Experience Master’s degree with 8 - 10 years of experience in Product Owner / Platform Owner / Service Owner OR Bachelor’s degree with 10 - 14 years of experience in Product Owner / Platform Owner / Service Owner OR Diploma with 14 - 18 years of experience in Product Owner / Platform Owner / Service Owner Functional Skills: Must-Have Skills Exceptional data analysis and data profiling skills Advanced SQL query development Experience using excel workbooks to drive data stewarding and curation tasks Experience reviewing data profiling findings with non-technical users Hands on skills using PowerBi including building basic models and reports Strong knowledge of Agile methodologies and product management principles , and backlog and feature management tools including Jira and Confluence Strong knowledge of IT service management (ITSM) principles and methodologies Strong experience with development of data- management and visibility products such as data warehouses, master data management and data visualization and knowledge management solutions Success in mentoring and developing strong product analysts, business analysts, and data profilers. Good-to-Have Skills: Experience in developing differentiated and deliverable solutions Experience with human data, ideally human healthcare data Experience using LLM and AI capabilities to gather information and aid in data curation and creating metadata Familiarity with laboratory testing, patient data from clinical care, HL7, FHIR, and/or clinical trial data management Professional Certifications (please mention if the certification is preferred or mandatory for the role) SAFe Agile Practitioner (6.0) Soft Skills: Excellent analytical and troubleshooting skills Deep intellectual curiosity, particularly about data patterns, and learning about business processes and “life of the user” High est degree of initiative and self-motivation Strong verbal and written communication skills , including presentation of varied audiences through complex technical/business topics Ability to work effectively with global, virtual teams , specifically including leveraging of tools and artifacts to assure clear and efficient collaboration across time zones Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong problem solving, analytical skills; Ability to learn quickly and retain and synthesize complex information from diverse sources

ABOUT THE ROLE You will play a key role in a regulatory submission content automation initiative which will modernize and digitize the regulatory submission process, positioning Amgen as a leader in regulatory innovation. The initiative leverages state-of-the-art technologies, including Generative AI, Structured Content Management, and integrated data to automate the creation, review, and approval of regulatory content. ? The role is responsible for sourcing and analyzing data for this initiative and support designing, building, and maintaining the data pipelines to drive business actions and automation . This role involves working with Operations source systems, find the right data sources, standardize data sets, supporting data governance to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes Roles & Responsibilities Ensure reliable , secure and compliant operating environment. Identify , extract, and integrate required business data from Operations systems residing in modern cloud-based architectures. Design, develop, test and maintain scalable data pipelines, ensuring data quality via ETL/ELT processes. Schedul e and manag e workflows the ensure pipeline s run on schedule and are monitored for failures. Implement data integration solutions and manage end-to-end pipeline projects, including scope, timelines, and risk. Reverse-engineer schemas and explore source system tables to map local representations of target business concepts. Navigate application UIs and backends to gain business domain knowledge and detect data inconsistencies. Break down information models into fine-grained, business-contextualized data components. Work closely with cross-functional teams, including product teams, data architects, and business SMEs, to understand requirements and design solutions. Collaborate with data scientists to develop pipelines that meet dynamic business needs across regions. Create and maintain data models, dictionaries, and documentation to ensure accuracy and consistency. Adhere to SOPs, GDEs , and best practices for coding, testing, and reusable component design. Basic Qualifications and Experience Master’s degree and 1 to 3 years of Computer Science, IT or related field experience OR Bachelor’s degree and 3 to 5 years of Computer Science, IT or related field experience OR Diploma and 7 to 9 years of Computer Science, IT or related field experience Functional Skills: Must-Have Skills: Hands on experience with data practices, technologies , and platforms , such as Databricks, Python, Prophecy, Gitlab, LucidChart etc Proficiency in data analysis tools ( eg. SQL) and experience with data sourcing tools Excellent problem-solving skills and the ability to work with large, complex datasets U nderstanding of data governance frameworks, tools, and best practices. Knowledge of and experience with data standards (FAIR) and protection regulations and compliance requirements (e.g., GDPR, CCPA) Good-to-Have Skills: Experience with ETL tools and various Python packages related to data processing, machine learning model development Strong understanding of data modeling, data warehousing, and data integration concepts Knowledge of Python /R , Databricks, cloud data platforms Professional Certifications Certified Data Engineer / Data Analyst (preferred on Databricks ) Soft Skills: Excellent critical-thinking and problem-solving skills Strong communication and collaboration skills Demonstrated awareness of how to function in a team setting Demonstrated presentation skills

What you will do Let’s do this. Let’s change the world. In this vital role you are responsible for designing, building, maintaining, analyzing, and interpreting data to provide actionable insights that drive business decisions. This role involves working with large datasets, developing reports, supporting and executing data governance initiatives and, visualizing (to ensure data is accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes Roles & Responsibilities: Design, develop, and maintain data solutions for data generation, collection, and processing Leading and being hands-on for the technical design, development, testing, implementation, and support of data pipelines that load the data domains in the Enterprise Data Fabric and associated data services. Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems Take ownership of data pipeline projects from inception to deployment, manage scope, timelines, and risks Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs. Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency. Be able to translate data models (ontology, relational) into physical designs that performant, maintainable, easy to use. Implement data security and privacy measures to protect sensitive data Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions Collaborate and communicate effectively with product teams Identify and resolve complex data-related challenges Adhere to best practices for coding, testing, and designing reusable code/component Explore new tools and technologies that will help to improve ETL platform performance Participate in sprint planning meetings and provide estimations on technical Collaboration with RunOps engineers to continuously increase our ability to push changes into production with as little manual overhead and as much speed as possible. What we expect of you We are all different, yet we all use our unique contributions to serve patients. The [vital attribute] professional we seek is a [type of person] with these qualifications. Basic Qualifications: Master’s degree and 4 to 6 years of Computer Science, IT or related field experience OR Bachelor’s degree and 6 to 8 years of Computer Science, IT or related field experience OR Diploma and 10 to 12 years of Computer Science, IT or related field experience Preferred Qualifications: Functional Skills: Must-Have Skills: Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processing Proficient in SQL for extracting, transforming, and analyzing complex datasets from both relational and graph data stores ( e.g. Marklogic, Allegrograph, Stardog, RDF Triplestore). Experience with ETL tools such as Apache Spark, Prophecy and various Python packages related to data processing, machine learning model development Strong understanding of data modeling, data warehousing, and data integration concepts Able to take user requirements and develop data models for data analytics use cases. Good-to-Have Skills: Knowledge of Python/R, Databricks, SageMaker, cloud data platforms Experience using graph databases such as Stardog , Marklogic , Neo4J , Allegrograph, etc. and writing SPARQL queries. Experience working with agile development methodologies such as Scaled Agile. Professional Certifications AWS Certified Data Engineer preferred Certified Data Engineer / Data Analyst (preferred on Databricks or cloud environments) Soft Skills: Excellent critical-thinking and problem-solving skills Strong communication and collaboration skills Demonstrated awareness of how to function in a team setting Demonstrated presentation skills Shift Information: This position requires you to work a later shift and may be assigned a second or third shift schedule. Candidates must be willing and able to work during evening or night shifts, as required based on business requirements. Equal opportunity statement Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now for a career that defies imagination Objects in your future are closer than they appear. Join us. careers.amgen.com

We will count on you to: Contribute to developing an inclusive work environment that respects and values differences of background, experience, and thought. Organize client data, check data for reasonability, load data into predictive models, run the models, share insights with senior colleagues, and compile coherent and compelling narratives to help clients understand their degree of risk. Perform basic calculations with client data to assess a range of risk exposures and predict outcomes for clients in support of reinsurance transaction process. Conduct research on industry/regulatory developments that affect loss liabilities to determine the impact on clients. Generating multiple exhibits, dashboards and decks leading to have impactful and insightful discussions with clients on their reinsurance strategy. Establish and maintain strong relationships with brokers/clients/reinsurers/colleagues, assist in promptly responding to client queries and concerns. Keep teams updated on industry-specific and specialty related trends that may affect reinsurance programs/calculations. Leverage our proprietary MetaRisk software suite and other internal tools to develop and optimize bespoke reinsurance transactions and evaluate their impact on our clients capital, growth, and volatility objectives. What you need to have: Bachelors or masters degree in a technical discipline such as Actuarial Science, Data Science, Engineering, Physics, Mathematics or Statistics. 2-4 years of work experience; completion of at least 2 actuarial exams preferred. Curious and proactive mindset: desire and ability to lead internal initiatives and research projects to completion. A collaborative, team-oriented mindset and effective interpersonal skills that is a positive and helpful presence in colleague and client interactions. Strong ability to be organized and detail oriented. Capacity to progress multiple projects at the same time. A desire and ability to grow beyond your current capabilities. Superior communication and presentation skills. Proficient in MS Excel with skills in other MS Office products. What makes you stand out: Familiarity with programming languages & visualization tools (i.e., R, Python, SQL, Alteryx, Power BI). Experience in a technical role at a reinsurance broker, market, or catastrophe model vendor. Prior experience in relevant re/insurance field. Understanding of the reinsurance industry and product lines.

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose - the relentless pursuit of a world that works better for people - we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of Business Analyst-SQL and Spotfire Developer In this role, you will work along with the team that will support smooth implementation of various contracts related aircraft engines. Responsibilities . Hands-on experience as a TIBCO Spotfire developer in analysis, design, and development . Strong ability to understand analytic specifications and translate the specifications into TIBCO Spotfire visualizations into the underlying code . Experience with TIBCO Spotfire client key concepts, such as filtering schemes, data on demand, property controls, and more . Experience with integration of HTML, R , Iron Python, Java Scripting . Hands on experience in SQL, PL/SQL - writing complex select queries, optimizing SQL queries. . Working experience in Data bases like Greenplum, PostgreSQL, AWS redshift . Strong experience in the performance optimization of Spotfire applications . Experience with continuous improvement activities and a strong desire to help implement lean enterprise initiatives preferred . Must have initiative and strive for continuous improvement. Proven ability to participate in implementing innovative ideas, projects and business solutions Qualifications we seek in you! Minimum Qualifications / Skills . Bachelor%27s degree in computer science or a related field, or equivalent education and experience . Effectively communicate in English, in both written and oral forms . Experience using BI technologies, including TIBCO Spotfire. . Working Experience with large scale TIBCO Spotfire development. . Very good in SQL, SQL/PL SQL . Knowledge on Database Preferred Qualifications/ Skills . SAP BOBJ, SAP HANA, SAP BW . Basic knowledge in Data Science . Good knowledge in R, Python etc. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Get to know us at and on , , , and . Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Business Analyst & Process consultant Chennai, India Information Technology 16387 Overview Prodapt Solutions is looking for a Business Analyst with telecom domain experience. *Should have handson in Lead to Cash journey - Processes and Systems for Cellular Mobile service for Enterprise or End to End VPN service for Enterprise, Non-Terrestrial Network, Cloud PBX stacks. *Should have solid understanding on different Service Fulfilment journey metrics. *Should have solid understanding of different BSS and OSS applications that support Lead to Cash journey. *Should have conducted workshops to gather requirements from stakeholders, presenting different solution options to architects. Responsibilities *Following OSS/BSS applications knowledge is mandatory - CRM, Product Catalog, Order Orchestration, Inventory management (Service inventory/Physical inventory), Provisioning & Activation system, Element Management System, Engineering workflow management. *Following Network OSS applications knowledge is desirable - Network Monitoring System, Test & Diagnostics application, Network performance management (monitoring, collecting data, reporting), Incident and Change management system. *Good knowledge on different CRM/BPM systems is mandatory. Knowledge on SalesForce, SNOW is desirable. *Should be able to evaluate internal functions, systems, business strategies and IT processes to find improvements that support Telco service providers future CRM strategies and goals. *Ability to use telecom, IT and enterprise architecture best practice methodologies, processes, functions, and data maps. *Technical specialist skills in software design and implementations, with experience of cloud and on-premises systems architecture *Accountable for ensuring project delivery of multi-domain BSS/OSS solutions. Ability to define and articulate complex architectures to non-technical stakeholders. *Produce and support the production of High Level Designs, Low Level Designs, test plans, Deployment Guidelines and TTO`s. *Work in cross-functional delivery teams including partners and vendors to support delivery throughout the delivery lifecycle and ensure solutions are delivered into production on time and meet the operational acceptance criteria. *Work closely with Network Design, Systems Development, Testing team, E2E Solution Architects, Operations teams. *Knowledge on APIs, Frameworx, Microservices, UML, TOSCA, NetConf/YANG, CI/CD, REST/Webservices, JSON, Postman, Agile Development is needed. *Knowledge on P/S/R catalog and specifications is desirable. Requirements Ability to work with stakeholders to create and define problem statements and root cause analysis Create and gather requirements from stakeholders, draw process diagrams, write user stories, ensuring documentation is complete, understandable, and unambiguous Validation of the documentation with stakeholders Capture and report back essential information from meetings Familiar with Agile principles and in using JIRA or ServiceNow SPM tool knowledge Use of collaboration and presentation tools like Mural Minimum Educational LevelBachelor Degree Min Experience (Years):5 Max Experience (Years):12

Data Scientist Chennai - Guindy, India Information Technology 17006 Overview Data Scientist job description typically involvescollecting, cleaning, analyzing, and interpreting large datasets to uncover insights and build predictive models.He should use data visualization tools to present findings, make recommendations, and communicate their work to stakeholders. Responsibilities Data Collection and Preparation: Gather data from various sources, clean and preprocess it, and transform it into a usable format for analysis. Data Analysis: Conduct exploratory data analysis (EDA), identify patterns and trends, and use statistical methods to extract meaningful insights. Model Building: Develop and implement machine learning algorithms and predictive models to solve business problems. Data Visualization: Create clear and informative visualizations to present findings and communicate insights to stakeholders. Communication: Clearly communicate findings, recommendations, and the implications of data-driven decisions to both technical and non-technical audiences. Problem Solving: Identify business problems, develop data-driven solutions, and evaluate the effectiveness of proposed solutions. Requirements Programming: Proficiency in languages like Python and R, as well as familiarity with data manipulation libraries (e.g., Pandas, NumPy). Statistics and Probability: A strong foundation in statistical concepts, probability distributions, and hypothesis testing. Machine Learning: Knowledge of various machine learning algorithms, model selection, and evaluation techniques.

Management Level: Ind & Func AI Decision Science Analyst Level 11 Location: Gurgaon / Bangalore / Mumbai / Hyderabad Must-have skills: Marketing Analytics, Data Driven Merchandizing (Pricing/Promotions/Assortment Optimization), Statistical Timeseries Models, Store Clustering Algorithms, Descriptive Analytics, State Space Modeling, Mixed Effect Regression, NLP Techniques, Large Language Models, Azure ML Tech Stack, SQL, R, Python, AI/ML Model Development, Cloud Platform Experience (Azure/AWS/GCP), Data Pipelines, Client Management, Insights Communication Good to have skills: Non-linear Optimization, Resource Optimization, Cloud Capability Migration, Scalable Machine Learning Architecture Design Patterns, Econometric Modeling, AI Capability Building, Industry Knowledge:CPG, Retail Job Summary As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Roles & Responsibilities: Working through the phases of project Define data requirements for Data Driven Growth Analytics capability. Clean, aggregate, analyze, interpret data, and carry out data quality analysis. Knowledge of market sizing, lift ratios estimation. Experience in working with non-linear optimization techniques. Proficiency in Statistical Timeseries models, store clustering algorithms, descriptive analytics to support merch AI capability. Hands on experience in state space modeling and mixed effect regression. Development of AI/ML models in Azure ML tech stack. Develop and Manage data pipelines. Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling elasticity models. Working knowledge of resource optimization Working knowledge of NLP techniques, Large language models. Manage client relationships and expectations and communicate insights and recommendations effectively. Capability building and thought leadership. Logical Thinking Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials. Task Management Advanced level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track, and report progress . Professional & Technical Skills: Must have at least 2+ years of work experience in Retail/CPG - Marketing analytics with a reputed organization. Must have knowledge of SQL, R & Python language and at-least one cloud-based technology (Azure, AWS, GCP) Must have knowledge of building price/discount elasticity models and conduct non-linear optimization. Must have good knowledge of NLP models, Large Language Models and applicability to industry data. Must have AI capability migration experience from one cloud platform to another. Manage documentation of data models, architecture, and maintenance processes Additional Information: Bachelor/Masters degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record Knowledge of CPG, Retail industry. Proficient in Excel, MS word, PowerPoint, etc. Strong client communication. About Our Company | AccentureQualification Experience: Must have at least 2+ years of work experience in Retail/CPG - Marketing analytics with a reputed organization. Educational Qualification: Bachelor/Masters degree in Statistics/Economics/Mathematics/Computer Science or related disciplines. Preferred advanced degrees include M.Tech, M.Phil/Ph.D in Statistics/Econometrics or related field from reputed institutions.

Entity :- Accenture Strategy & Consulting Team :- Strategy & Consulting Global Network Practice :- Marketing Analytics Title :- Data Science Manager Job location :- Gurgaon About S&C - Global Network :- Accenture Applied Intelligence 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. WHATS IN IT FOR YOU As part of our Analytics practice, you will join a worldwide network of over 20,000 smart and driven colleagues experienced in leading statistical tools, methods and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically-informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Accenture will continually invest in your learning and growth. You'll work with MMM experts, and Accenture will support you in growing your own tech stack and certifications In Applied intelligence you will understands the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative. What you would do in this role Working through the phases of project Define data requirements for creating a model and understand the business problem Clean, aggregate, analyze, interpret data and carry out quality analysis of it 5+ years of advanced experience of Market Mix Modeling and related concepts of optimizing promotional channels and budget allocation Experience in working with non linear optimization techniques. Proficiency in Statistical and Probabilistic methods such as SVM, Decision-Trees, Bagging and Boosting Techniques, Clustering Hands on experience in python data-science and math packages such as NumPy , Pandas, Sklearn, Seaborne, Pycaret, Matplotlib Development of AI/ML models Develop and Manage data pipelines Develop and Manage Data within different layers of Azure/ Snowflake Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling marketing mix models. Working knowledge of MMM optimizer and its intricacies Awareness of MMM application development and backend engine integration will be preferred Working along with the team and consultant/manager Well versed with creating insights presentations and client ready decks. Should be able to mentor and guide a team of 10-15 people under him/her Manage client relationships and expectations, and communicate insights and recommendations effectively Capability building and thought leadership Logical Thinking Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials. Task Management Advanced level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track and report progress Qualification Who we are looking for 5+ years of work experience in consulting/analytics with reputed organization is desirable. Master degree in Statistics/Econometrics/ Economics or B Tech/M Tech or Masters/M Tech in Computer Science or M.Phil/Ph.D in statistics/econometrics or related field from reputed college Must have knowledge of SQL and Python language and at-least one cloud-based technologies (Azure, AWS, GCP) Must have good knowledge of Market mix modeling techniques and optimization algorithms and applicability to industry data Must have data migration experience from cloud to snowflake (Azure, GCP, AWS) Managing sets of XML, JSON, and CSV from disparate sources. Manage documentation of data models, architecture, and maintenance processes Have an understanding of econometric/statistical modeling and analysis techniques such as regression analysis, hypothesis testing, multivariate statistical analysis, time series techniques, optimization techniques, and statistical packages such as R, Python, Java, SQL, Spark etc. Working knowledge in Machine Learning algorithms like Random Forest, Gradient Boosting, Neural Network etc. Proficient in Excel, MS word, PowerPoint, etc. Strong client and team management and planning of large-scale projects with risk assessment 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.

Management Level: Ind & Func AI Decision Science Analyst Location: Bengaluru (Bangalore), Gurugram (Gurgaon), Hyderabad, Chennai. Must-have skills: Programming languages -Python/R, Generative AI, Large Language Models (LLMs), ML libraries such as Scikit-learn, TensorFlow, Torch, Lang Chain, or OpenAI API, RAG Applications. Good to have skills :Big data technologies such as Spark or Hadoop,AI model explainability(XAI),bias detection and AI ethics. Familiarity with Edge AI and deploying models on embedded devices for industrial automation. Experience with Reinforcement Learning (RL) and AI-driven optimization techniques. Job Summary We are looking for a Data Scientist / AI Specialist with 1-3 years of experience to join our team and work on client projects in the Automotive & Industrial sectors. This role will involve leveraging traditional Machine Learning (ML), Generative AI (GenAI), Agentic AI, and Autonomous AI Systems to drive innovation, optimize processes, and enhance decision-making in complex industrial environments. Prior experience in the Auto/Industrial industry is a plus, but we welcome candidates from any domain with a strong analytical mindset and a passion for applying AI to real-world business challenges. Roles & Responsibilities: Develop, deploy and monitor AI/ML models in production environments & enterprise systems, including predictive analytics, anomaly detection, and process optimization for clients. Work with Generative AI models (e.g., GPT, Stable Diffusion, DALLE) for applications such as content generation, automated documentation, code synthesis, and intelligent assistants. Implement Agentic AI systems, including AI-powered automation, self-learning agents, and decision-support systems for industrial applications. Design and build Autonomous AI solutions for tasks like predictive maintenance, supply chain optimization, and robotic process automation (RPA). Work with structured and unstructured data from various sources, including IoT sensors, manufacturing logs, and customer interactions. Optimize and fine-tune LLMs (Large Language Models) for specific business applications, ensuring ethical and explainable AI use. Utilize MOps and AI orchestration tools to streamline model deployment, monitoring, and retraining cycles. Collaborate with cross-functional teams, including engineers, business analysts, and domain experts, to align AI solutions with business objectives. Stay updated with cutting-edge AI research in Generative AI, Autonomous AI, and Multi-Agent Systems. Professional & Technical Skills: 1-3 years of experience in Data Science, Machine Learning, or AI-related roles. Proficiency in Python (preferred) or R, and experience with ML libraries such as Scikit-learn, TensorFlow, Torch, Lang Chain, or OpenAI API. Strong understanding of Generative AI, Large Language Models (LLMs), and their practical applications. Hands-on experience in fine-tuning and deploying foundation models (e.g., OpenAI, Llama, Claude, Gemini, etc.). Experience with Vector Databases (e.g., FAISS, Chroma, Weaviate, Pinecone) for retrieval-augmented generation (RAG) applications. Knowledge of Autonomous AI Agents (e.g., AutoGPT, BabyAGI) and multi-agent orchestration frameworks. Experience working with SQL and NoSQL databases. Familiarity with cloud platforms (AWS, Azure, or GCP) for AI/ML model deployment. Strong problem-solving and analytical thinking abilities. Ability to communicate complex AI concepts to technical and non-technical stakeholders. Bonus:Experience in Automotive, Industrial, or Manufacturing AI applications (e.g., predictive maintenance, quality inspection, digital twins). Additional Information: Bachelor/Masters degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record /MBA from top-tier universities. Excellent Communication and Interpersonal Skills. About Our Company | Accenture Qualification Experience: Minimum 1-3 years of relevant Data Science, Machine Learning or AI-related roles., Exposure to Industrial & Automotive Firms or Professional Services. Educational Qualification: Bachelor/Masters degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record or MBA from top-tier universities.

Project Role : Data Insights & Visualization Practition Project Role Description : Create interactive interfaces that enable humans to understand, interpret, and communicate complex data and insights. Wrangle, analyze, and prepare data to ensure delivery of relevant, consistent, timely, and actionable insights. Leverage modern business intelligence, storytelling, and web-based visualization tools to create interactive dashboards, reports and emerging VIS/BI artifacts. Use and customize (Gen)AI and AI-powered VIS/BI capabilities to enable a dialog with data. Must have skills : Data Analytics Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education**Position Summary :**The Senior Data Analyst will play a critical role in analyzing complex datasets, identifying trends, and delivering insights that drive business decisions.**Key Responsibilities:**- Analyze large datasets to uncover trends, patterns, and insights.- Design and develop advanced dashboards and reports.- Collaborate with stakeholders to understand data needs and provide solutions.- Ensure data quality, integrity, and accuracy in all analytics processes.- Mentor junior analysts and contribute to team development.- Develop complex data models and perform in-depth analyses to uncover business trends.- Collaborate with stakeholders to translate business needs into actionable insights.- Ensure accuracy and consistency in data reporting and dashboards.- Identify areas of improvement within data pipelines and workflows.- Provide recommendations based on predictive and prescriptive analytics.** Qualifications:**- Bachelor's degree in a relevant field (e.g., Data Science, Mathematics, Statistics).- 5+ years of experience in data analytics.- Advanced skills in Power BI, Tableau, SQL, and Python/R.- Strong analytical and problem-solving abilities.- Excellent communication skills to present findings effectively. Additional Information:- The candidate should have minimum 12 years of experience in Data Analytics.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Management Level: - Ind & Func AI Decision Science Consultant Level 9 Location: Gurgaon / Bangalore / Mumbai / Hyderabad Must-have skills: Marketing Analytics, Data Driven Merchandizing (Pricing/Promotions/Assortment Optimization), Statistical Timeseries Models, Store Clustering Algorithms, Descriptive Analytics, State Space Modeling, Mixed Effect Regression, NLP Techniques, Large Language Models, Azure ML Tech Stack, SQL, R, Python, AI/ML Model Development, Cloud Platform Experience (Azure/AWS/GCP), Data Pipelines, Client Management, Insights Communication Good to have skills: Non-linear Optimization, Resource Optimization, Cloud Capability Migration, Scalable Machine Learning Architecture Design Patterns, Econometric Modeling, AI Capability Building, Industry Knowledge:CPG, Retail Job Summary As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Roles & Responsibilities: Working through the phases of project Define data requirements for Data Driven Growth Analytics capability. Clean, aggregate, analyze, interpret data, and carry out data quality analysis. Knowledge of market sizing, lift ratios estimation. Experience in working with non-linear optimization techniques. Proficiency in Statistical Timeseries models, store clustering algorithms, descriptive analytics to support merch AI capability. Hands on experience in state space modeling and mixed effect regression. Development of AI/ML models in Azure ML tech stack. Develop and Manage data pipelines. Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling elasticity models. Working knowledge of resource optimization Working knowledge of NLP techniques, Large language models. Manage client relationships and expectations and communicate insights and recommendations effectively. Capability building and thought leadership. Logical Thinking Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials. Task Management Advanced level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track, and report progress . Client Relationship Development Manage client expectations and develop trusted relationships Maintain strong communication with key stakeholders Act as a strategic advisor to clients on their data-driven marketing decisions Professional & Technical Skills: Must have at least 4+ years of work experience in Marketing analytics with a reputed organization. 3+ years of experience in Data Driven Merchandizing which involves work experience in Pricing/Promotions/Assortment Optimization capabilities across retail clients. Strong understanding of econometric/statistical modeling:regression analysis, hypothesis testing, multivariate analysis, time series, optimization Expertise in Azure ML, SQL, R, Python, PySpark Proficiency in non-linear optimization and resource optimization Familiarity with design patterns for deploying and maintaining ML models in production Strong command over marketing data and business processes in Retail and CPG Hands-on with tools like Excel, Word, PowerPoint for communication and documentation Additional Information: Bachelor/Masters degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record Knowledge of CPG, Retail industry. Proficient in Excel, MS word, PowerPoint, etc. Strong client communication. About Our Company | Accenture Qualification Experience: Must have at least 4+ years of work experience in Marketing analytics with a reputed organization. 3+ years of experience in Data Driven Merchandizing which involves work experience in Pricing/Promotions/Assortment Optimization capabilities across retail clients. Educational Qualification: Bachelor/Masters degree in Statistics/Economics/Mathematics/Computer Science or related disciplines. Preferred advanced degrees include M.Tech, M.Phil/Ph.D in Statistics/Econometrics or related field from reputed institutions.

Management Level: Ind & Func AI Decision Science Analyst Location: Bengaluru (Bangalore), Gurugram (Gurgaon), Hyderabad, Chennai. Must-have skills: Programming languages -Python/R, Generative AI, Large Language Models (LLMs), ML libraries such as Scikit-learn, TensorFlow, Torch, Lang Chain, or OpenAI API, RAG Applications. Good to have skills :Big data technologies such as Spark or Hadoop,AI model explainability(XAI),bias detection and AI ethics. Familiarity with Edge AI and deploying models on embedded devices for industrial automation. Experience with Reinforcement Learning (RL) and AI-driven optimization techniques. Job Summary We are looking for a Data Scientist / AI Specialist with 1-3 years of experience to join our team and work on client projects in the Automotive & Industrial sectors. This role will involve leveraging traditional Machine Learning (ML), Generative AI (GenAI), Agentic AI, and Autonomous AI Systems to drive innovation, optimize processes, and enhance decision-making in complex industrial environments. Prior experience in the Auto/Industrial industry is a plus, but we welcome candidates from any domain with a strong analytical mindset and a passion for applying AI to real-world business challenges. Roles & Responsibilities: Develop, deploy and monitor AI/ML models in production environments & enterprise systems, including predictive analytics, anomaly detection, and process optimization for clients. Work with Generative AI models (e.g., GPT, Stable Diffusion, DALLE) for applications such as content generation, automated documentation, code synthesis, and intelligent assistants. Implement Agentic AI systems, including AI-powered automation, self-learning agents, and decision-support systems for industrial applications. Design and build Autonomous AI solutions for tasks like predictive maintenance, supply chain optimization, and robotic process automation (RPA). Work with structured and unstructured data from various sources, including IoT sensors, manufacturing logs, and customer interactions. Optimize and fine-tune LLMs (Large Language Models) for specific business applications, ensuring ethical and explainable AI use. Utilize MOps and AI orchestration tools to streamline model deployment, monitoring, and retraining cycles. Collaborate with cross-functional teams, including engineers, business analysts, and domain experts, to align AI solutions with business objectives. Stay updated with cutting-edge AI research in Generative AI, Autonomous AI, and Multi-Agent Systems. Professional & Technical Skills: 1-3 years of experience in Data Science, Machine Learning, or AI-related roles. Proficiency in Python (preferred) or R, and experience with ML libraries such as Scikit-learn, TensorFlow, Torch, Lang Chain, or OpenAI API. Strong understanding of Generative AI, Large Language Models (LLMs), and their practical applications. Hands-on experience in fine-tuning and deploying foundation models (e.g., OpenAI, Llama, Claude, Gemini, etc.). Experience with Vector Databases (e.g., FAISS, Chroma, Weaviate, Pinecone) for retrieval-augmented generation (RAG) applications. Knowledge of Autonomous AI Agents (e.g., AutoGPT, BabyAGI) and multi-agent orchestration frameworks. Experience working with SQL and NoSQL databases. Familiarity with cloud platforms (AWS, Azure, or GCP) for AI/ML model deployment. Strong problem-solving and analytical thinking abilities. Ability to communicate complex AI concepts to technical and non-technical stakeholders. Bonus:Experience in Automotive, Industrial, or Manufacturing AI applications (e.g., predictive maintenance, quality inspection, digital twins). Additional Information: Bachelor/Masters degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record /MBA from top-tier universities. Excellent Communication and Interpersonal Skills. About Our Company | Accenture Qualification Experience: Minimum 1-3 years of relevant Data Science, Machine Learning or AI-related roles., Exposure to Industrial & Automotive Firms or Professional Services. Educational Qualification: Bachelor/Masters degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record or MBA from top-tier universities.

Job Title:Transformation Office Value Realization Specialist Management Level :09 - Specialist Location:Bangalore / Gurgaon / Mumbai Must have skills:S&C Experience is a must, Momentum, or any other Transformation tool like Shibumi experience is good to have. String Data analysis and Valur tree understanding. Good to have skills:English, Transformation PMO, Culture Fit & Relevant skills Job Summary : We are looking for a motivated Team Lead/Consultant to join the Transformation Office as a Value Realization Specialist. The role involves shaping value trees from initiative charters, aligning KPIs, and ensuring clarity on definitions and tracking frequencies. Proficiency in Accentures Momentum tool is essential, including setup, updates, and report navigation. Strong Excel, presentation skills, and proactive stakeholder engagement are key to driving measurable impact across transformation initiatives. Roles & Responsibilities: Drive strategic transformation planning aligned to business outcomes. Develop value trees to capture and track value realization. Define KPIs and ensure alignment with initiative teams. Monitor performance and support decisions with data analysis. Own value narrative and drive regular value updates. Engage senior stakeholders to drive alignment and impact. Create concise, executive-ready presentations and reports. Professional & Technical Skills: Minimum of 4 years of experience in a related field Proficiency in Accenture's Value Realization Tool - Momentum. Strong understanding of value trees and KPI alignment. Excellent Excel skills for data analysis and reporting. Strong presentation skills. Ability to work proactively with varied stakeholders. Strong communication and collaboration skills. Additional Information: Experience in a transformation office or similar role. Advanced degree in business, finance, or a related field. Certification in project management or related disciplines is preferred. About Our Company | AccentureQualification Experience:Minimum 4 year(s) of experience is required Educational Qualification:MBA

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 : Mainframe Application Performance Optimization, Cobol Mainframe Good to have skills : NAMinimum 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. Dedicated to quality, using exceptional communication skills to keep our world-class systems running. You can accurately define a client issue and interpret and design a resolution based on deep product knowledge. 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 technical support to clients and resolve application issues.- Analyze system performance and optimize applications for efficiency.- Collaborate with cross-functional teams to enhance system performance.- Document troubleshooting steps and solutions for future reference.- Stay updated on industry trends and best practices for continuous improvement. Professional & Technical Skills: - Must To Have Skills: Proficiency in Mainframe Application Performance Optimization, Cobol Mainframe.- Strong understanding of system performance optimization techniques.- Experience in troubleshooting and resolving application issues.- Knowledge of mainframe technologies and performance tuning.- Familiarity with system monitoring tools and performance analysis. Additional Information:- The candidate should have a minimum of 3 years of experience in Mainframe Application Performance Optimization.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

Skill required: Data Management - Google BigQuery Designation: Data Eng, Mgmt & Governance Sr Analyst Qualifications: BE/BTech Years of Experience: 5 to 8 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do Data & AIA cloud-based big data analytics web service for processing large read-only data sets. Designed for analyzing data on the order of large rows, using a SQL-like syntax. What are we looking for GCP Big Query Data Modeling & Warehousing Structured Query Language (SQL) ETL (Matillion/ SSIS /Alteryx) Adaptable and flexible Ability to work well in a team Commitment to quality Agility for quick learning Strong analytical skills Roles and Responsibilities: In this role you are required to do analysis and solving of increasingly complex problems Your day-to-day interactions are with peers within Accenture You are likely to have some interaction with clients and/or Accenture management You will be given minimal instruction on daily work/tasks and a moderate level of instruction on new assignments Decisions that are made by you impact your own work and may impact the work of others In this role you would be an individual contributor and/or oversee a small work effort and/or team Qualification BE,BTech

Skill required: NA - Business Transformation Designation: Business Transformation Assoc Manager Qualifications: Any Graduation Years of Experience: 10 to 14 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do In this role, you will be expected to develop transformation vision, assess vision feasibility and capability gaps, plan journey management. Also, translate economic trends into industry competitive advantage, transform a business to enable profitable & sustainable growth.Develop transformation vision, assess vision feasibility and capability gaps, plan journey management. Translate economic trends into industry competitive advantage, transform a business to enable profitable & sustainable growth. What are we looking for Ability to establish strong client relationshipAbility to manage multiple stakeholdersAbility to work well in a teamDetail orientationAdaptable and flexibleIn this role you are required to do analysis and solving of moderately complex problems Typically creates new solutions, leveraging and, where needed, adapting existing methods and procedures The person requires understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor or team leads Generally interacts with peers and/or management levels at a client and/or within Accenture The person should require minimal guidance when determining methods and procedures on new assignments Decisions often impact the team in which they reside and occasionally impact other teams Individual would manage medium-small sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts Roles and Responsibilities: conduct E-E assessments of the business area leveraging enterprise data & process deep dives to identify opportunity area for improvementsDesign and create new solutions to the area of opportunity leveraging various optimization methodsThe person requires understanding of the strategic direction set by senior management as it relates to team goalsWhile being an active partner in formulating the strategy, this role is responsible for the execution of strategy formulated by superiorsPrimary upward interaction is with direct supervisorGenerally, interacts with peers and/or management levels at a client and/or within AccentureAccountable for the business value delivery at the aligned portfolio levelThe person should require minimal guidance when determining methods and procedures on new assignmentsIndividual would manage medium-small sized Individual contributors and/or work efforts (if in an individual contributor role) at a client or within AccenturePrior experience in using Minitab/ JMP is preferredPlease note that this role may require you to work in rotational shifts Qualification Any Graduation

Skill required: NA - Business Transformation Designation: Business Transformation Assoc Manager Qualifications: Any Graduation Years of Experience: 10 to 14 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do In this role, you will be expected to develop transformation vision, assess vision feasibility and capability gaps, plan journey management. Also, translate economic trends into industry competitive advantage, transform a business to enable profitable & sustainable growth.Develop transformation vision, assess vision feasibility and capability gaps, plan journey management. Translate economic trends into industry competitive advantage, transform a business to enable profitable & sustainable growth. What are we looking for Ability to establish strong client relationshipAbility to manage multiple stakeholdersAbility to work well in a teamDetail orientationAdaptable and flexibleIn this role you are required to do analysis and solving of moderately complex problems Typically creates new solutions, leveraging and, where needed, adapting existing methods and procedures The person requires understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor or team leads Generally interacts with peers and/or management levels at a client and/or within Accenture The person should require minimal guidance when determining methods and procedures on new assignments Decisions often impact the team in which they reside and occasionally impact other teams Individual would manage medium-small sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts Roles and Responsibilities: conduct E-E assessments of the business area leveraging enterprise data & process deep dives to identify opportunity area for improvementsDesign and create new solutions to the area of opportunity leveraging various optimization methodsThe person requires understanding of the strategic direction set by senior management as it relates to team goalsWhile being an active partner in formulating the strategy, this role is responsible for the execution of strategy formulated by superiorsPrimary upward interaction is with direct supervisorGenerally, interacts with peers and/or management levels at a client and/or within AccentureAccountable for the business value delivery at the aligned portfolio levelThe person should require minimal guidance when determining methods and procedures on new assignmentsIndividual would manage medium-small sized Individual contributors and/or work efforts (if in an individual contributor role) at a client or within AccenturePrior experience in using Minitab/ JMP is preferredPlease note that this role may require you to work in rotational shifts Qualification Any Graduation

Project Role : Infra Tech Support Practitioner Project Role Description : Provide ongoing technical support and maintenance of production and development systems and software products (both remote and onsite) and for configured services running on various platforms (operating within a defined operating model and processes). Provide hardware/software support and implement technology at the operating system-level across all server and network areas, and for particular software solutions/vendors/brands. Work includes L1 and L2/ basic and intermediate level troubleshooting. Must have skills : Teradata Administration Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Infra Tech Support Practitioner, you will provide ongoing technical support and maintenance for production and development systems and software products. Your typical day will involve addressing technical issues, collaborating with various teams, and ensuring that all configured services operate smoothly across different platforms. You will engage in both remote and onsite support, focusing on hardware and software solutions while adhering to established operating models and processes. Your role will also include troubleshooting at both basic and intermediate levels, ensuring that systems remain operational and efficient. 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.- Facilitate training sessions for junior team members to enhance their technical skills.- Monitor system performance and proactively identify areas for improvement. Professional & Technical Skills: - Must To Have Skills: Proficiency in Teradata Administration.- Strong understanding of database management and optimization techniques.- Experience with troubleshooting and resolving technical issues in a timely manner.- Familiarity with operating system-level support across various platforms.- Ability to implement and maintain software solutions effectively. Additional Information:- The candidate should have minimum 5 years of experience in Teradata Administration.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Responsible AI Engineer Project Role Description : Assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical and sustainable practices. Design and implement technology mitigation strategies for systems to ensure ethical and responsible standards are achieved. Must have skills : Responsible AI Good to have skills : NAMinimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Responsible AI Engineer, you will engage in the assessment of artificial intelligence systems to ensure they meet established thresholds and benchmarks concerning responsible, ethical, and sustainable practices. Your typical day will involve designing and implementing technology mitigation strategies that uphold ethical and responsible standards, contributing to the development of AI systems that prioritize societal well-being and integrity. 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 ensure alignment on responsible AI practices.- Conduct regular audits of AI systems to identify areas for improvement in ethical standards. Professional & Technical Skills: - Must To Have Skills: Proficiency in Responsible AI.- Good To Have Skills: Experience with AI ethics frameworks.- Strong understanding of machine learning principles and their implications for responsible AI.- Familiarity with regulatory requirements related to AI and data usage.- Experience in developing and implementing ethical guidelines for AI systems. Additional Information:- The candidate should have minimum 2 years of experience in Responsible AI.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

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 : Microsoft Azure Data Services Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time educationJob Overview:**Position Summary :**The Data Scientist will leverage statistical techniques and machine learning to extract insights, predict trends, and solve complex business problems.**Key Responsibilities:**- Develop predictive models and machine learning algorithms to support decision-making.- Analyze large datasets to uncover trends and insights.- Collaborate with stakeholders to understand business challenges and provide data-driven solutions.- Communicate complex analyses in a clear and actionable manner.- Develop and implement machine learning models to solve business problems.- Analyze large datasets to identify patterns and generate insights.- Collaborate with engineering teams to integrate models into production systems.- Conduct A/B testing to evaluate the impact of data-driven strategies.- Stay updated on the latest advancements in data science and AI.** Qualifications:**- Master's degree in Data Science, Computer Science, or a related field.- 3-5 years of experience as a Data Scientist.- Expertise in Python, R, SQL, and machine learning frameworks.- Strong statistical and analytical skills.- Excellent communication and problem-solving abilities. Additional Information:- The candidate should have minimum 7.5 years of experience in Microsoft Azure Data Services.- This position is based in Hyderabad.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Responsible AI Engineer Project Role Description : Assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical and sustainable practices. Design and implement technology mitigation strategies for systems to ensure ethical and responsible standards are achieved. Must have skills : Responsible AI Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Responsible AI Engineer, you will assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical, and sustainable practices. Design and implement technology mitigation strategies for systems to ensure ethical and responsible standards are achieved. A typical day involves evaluating AI systems and implementing strategies to uphold ethical standards. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Develop and implement responsible AI frameworks.- Conduct audits on AI systems to ensure compliance with ethical standards.- Lead initiatives to promote responsible and sustainable AI practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in Responsible AI.- Strong understanding of AI ethics and responsible practices.- Experience in implementing technology mitigation strategies for AI systems.- Knowledge of AI governance frameworks.- Familiarity with AI bias detection and mitigation techniques. Additional Information:- The candidate should have a minimum of 12 years of experience in Responsible AI.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

Skill required: Property & Casualty - Actuarial Science Designation: Actuarial Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com 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.Claims settlements related any client property they own or any accidentsAdvise insurance agencies on how to compile and analyzes statistics and use them to calculate insurance risks and premiums. What are we looking for Adaptable and flexibleAbility to perform under pressureProblem-solving skills Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems May create new solutions, leveraging and, where needed, adapting existing methods and procedures The person would require understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor May interact with peers and/or management levels at a client and/or within Accenture Guidance would be provided when determining methods and procedures on new assignments Decisions made by you will often impact the team in which they reside Individual would manage small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts Qualification Any Graduation