Salary : 15 to 30 LPA Exp: 3 to 6 years Location :Gurugram/Bangalore Notice: Immediate to 30 days..!! Roles & responsibilities: 3+ years exp on Python , ML and GEN AI Interact with the client to understand their requirements and communicate / brainstorm solutions. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Text classification using any of the following : decision trees, knn classification, support vector machines or LDA Exp on SQL would be a plus

Salary : 25 to 40 LPA Exp: 5 to 8 years Location :Mumbai Notice: Immediate to 30 days..!! Roles & responsibilities: 5+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

Person at this position has gained significant work experience to be able to apply their knowledge effectively and deliver results. Person at this position is also able to demonstrate the ability to analyse and interpret complex problems and improve change or adapt existing methods to solve the problem. Person at this position regularly interacts with interfacing groups / customer on technical issue clarification and resolves the issues. Also participates actively in important project/ work related activities and contributes towards identifying important issues and risks. Reaches out for guidance and advice to ensure high quality of deliverables. Person at this position consistently seek opportunities to enhance their existing skills, acquire more complex skills and work towards enhancing their proficiency level in their field of specialisation. Works under limited supervision of Team Lead/ Project Manager. Roles & Responsibilities Responsible for design, coding, testing, bug fixing, documentation and technical support in the assigned area. Responsible for on time delivery while adhering to quality and productivity goals. Responsible for adhering to guidelines and checklists for all deliverable reviews, sending status report to team lead and following relevant organizational processes. Responsible for customer collaboration and interactions and support to customer queries. Expected to enhance technical capabilities by attending trainings, self-study and periodic technical assessments. Expected to participate in technical initiatives related to project and organization and deliver training as per plan and quality. Education and Experience Required Engineering graduate, MCA, etc Experience: 2-5 years Competencies Description Data Science TCB is applicable to one who 1) Analyses data to arrive at patterns/Insights/models 2) Come up with models based on the data to provide recommendations, predictive analytics etc 3) Provides implementation of the models in R, Matlab etc 4) Can understand and apply machine learning/AI techniques Platforms- Unix Technology Standard- NA Tools- R, Matlab, Spark Machine Learning, Python-ML, SPSS, SAS Languages- R, Perl, Python, Scala Specialization- COGNITIVE ANALYTICS INCLUDING COMPUTER VISION, AI and ML, STATISTICS

https://genpactonline.sharepoint.com/:w:/r/sites/Textio_JD_Repository/_layouts/15/Doc.aspx?sourcedoc=%7BDB5832F5-EC45-491B-AD70-75993B810BB1%7D&file=India-BPM-Process%20Developer%20%20Order%20to%20Cash-Accounting-Gurgaon-90.docx&action=default&mobileredirect=true&DefaultItemOpen=1%3Fweb%3D1

https://genpactonline.sharepoint.com/:w:/r/sites/Textio_JD_Repository/_layouts/15/Doc.aspx?sourcedoc=%7B078FEA4E-2B39-4500-8EFB-A8D353835634%7D&file=India-BPM-Management%20Trainee%20-%20Order%20to%20Cash-Finance-93.docx&action=default&mobileredirect=true&DefaultItemOpen=1%3Fweb%3D1

Role Responsibilities: Build predictive models and advanced algorithms for large datasets Evaluate emerging AI/ML technologies and identify new data patterns Collaborate with product managers and engineers to deploy models in production Integrate front-end with back-end systems in partnership with developers Job Requirements: Strong coding skills in Python and R Experience with NLP toolkits such as CoreNLP, NLTK, Semantic Web Familiarity with data mining and information retrieval tools like Lucene, SOLR Good communication and team management skills Exposure to Insurance, Banking, or Capital Markets domains is a plus

Role Responsibilities: Build predictive models and advanced algorithms for large datasets Evaluate emerging AI/ML technologies and identify new data patterns Collaborate with product managers and engineers to deploy models in production Integrate front-end with back-end systems in partnership with developers Job Requirements: Strong coding skills in Python and R Experience with NLP toolkits such as CoreNLP, NLTK, Semantic Web Familiarity with data mining and information retrieval tools like Lucene, SOLR Good communication and team management skills Exposure to Insurance, Banking, or Capital Markets domains is a plus

Role Responsibilities: Build predictive models and advanced algorithms for large datasets Evaluate emerging AI/ML technologies and identify new data patterns Collaborate with product managers and engineers to deploy models in production Integrate front-end with back-end systems in partnership with developers Job Requirements: Strong coding skills in Python and R Experience with NLP toolkits such as CoreNLP, NLTK, Semantic Web Familiarity with data mining and information retrieval tools like Lucene, SOLR Good communication and team management skills Exposure to Insurance, Banking, or Capital Markets domains is a plus

Overview We are currently seeking an experienced Analytics Client Service Specialist to join our Client Coverage organization in Mumbai. The MSCI Global Client Service team is composed of experienced financial professionals that provide first tier support for our clients around the world. Team members are responsible for responding to a wide variety of methodology, usage, interpretational, and technical questions on both analytical and benchmark products. Client contact is primarily via telephone and email. Client service analysts will need to work closely with Senior Client Service Members, Sales and consultants to develop and maintain client relationships. Responsibilities Provide premium service to assigned accounts Answer detailed client inquiries about MSCI products and methodology. These queries may be related to Market Risk (VaR, Stress testing, Back testing, Risk Attribution etc.), Liquidity Risk, Credit Risk, Portfolio Optimization, Performance Attribution Participate in developing client relationships through proactive follow up on issues raised Maintain relationships by ensuring relevant product and model information is shared with clients Lead regular calls with important accounts to cover outstanding issues and giving updates Contribute to producing service reviews and service plans that support client renewal initiatives Execute onboarding and training of Clients Provide 100% ownership (to resolution) of support issues from important accounts within assigned segment Provide full ownership of account servicing to become a subject matter expert on analytics products and services Championing process changes to improve Client Experience and Efficiency Qualifications Excellent English written and oral communication skills; ability to articulate complex concepts and methodologies to clients and senior management is a must Client facing skills – an ability to quickly gain the clients trust; Client Orientated – demonstrate ownership for the clients issue, be seen as the Client’s champion within MSCI Execution – well organized, ask questions, raise potential problems early Problem solving skills; Technology proficient: Numerical analysis using Microsoft Excel A self-starter and highly motivated, ability to work individually and within a team and ability to work in a fast paced environment with constant interruptions Candidate must be able to keep track of multiple issues without leaving issues unresolved 3-8 years of work experience; Relevant experience is a plus A numerate Bachelor’s degree in Finance, Engineering, Mathematics, Statistics, Economics, or related field; CFA, FRM is a plu What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our purpose – to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process. MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

Job Purpose: We are seeking a Team lead for our Biometrics function in India, who can manage a team of Biostatistics, Statistical Programming & Clinical Data Management. This role serves as the single point of contact for the Biometrics team in India, coordinating activities across functions and supporting alignment with global development goals. Proven expertise in Biometrics and expected, a solid understanding of all three functional areas is essential for cross-functional coordination and communication with U.S. leadership. Duties and responsibilities: Oversee the day-to-day activities of the Biostatistics, Statistical Programming & Clinical Data Management teams in India. Coordinate with U.S.-based Biometrics leadership to align deliverables and timelines across global development programs. Support biostatistical leadership by overseeing the development and validation of Statistical Analysis Plans (SAPs), as well as generation of tables, listings, and figures (TLFs) for clinical study reports (CSRs). Supervise the creation and validation of SDTM and ADaM datasets in compliance with CDISC standards. Collaborate with Clinical Data Management leads (where applicable) to ensure effective Clinical Data Management practices and data quality. Ensure alignment of Biometrics activities with overall project goals, timelines, and regulatory requirements. Monitor workload, resourcing, and productivity across the India Biometrics team. Facilitate communication and integration across functional teams (Biostatistics, Statistical Programming & Clinical Data Management). Mentor and support the development of team members across both disciplines. Stay current with industry standards and regulatory expectations in Biostatistics, Statistical Programming , CDISC, and Clinical Data Management practices. Qualifications: Masters degree in Biostatistics, Statistics, Clinical Data Science, Life Sciences, or a related field. 15+ years of experience in the pharmaceutical, biotechnology, or CRO industry within biostatistics, statistical programming, and/or Clinical Data Management. Strong working knowledge of clinical trial processes and relevant regulatory requirements (e.g., GCP, CDISC, BLA/NDA submissions). Hands-on expertise Biometrics with all three functions (Biostatistics, Statistical Programming & Clinical Data Management). Ability to lead and manage cross-functional technical teams. Strong project management, problem-solving, and interpersonal communication skills. Proficiency in relevant tools and platforms (e.g., SAS, R, EDC systems, CDMS, Veeva eTMF, Quality Docs, and eQMS platforms). Experience working in a global team structure and across time zones. Proven track record of leading and managing cross-functional biometrics teams, with experience in overseeing the development and validation of statistical analysis plans and clinical study reports. Experience with CDISC standards (SDTM and ADaM) and proficiency in statistical programming languages (e.g., SAS, R). Familiarity with electronic data capture (EDC) systems and Clinical Data Management systems, with a strong understanding of data integrity and quality practices. Demonstrated ability to manage multiple projects simultaneously in a fast-paced environment, with excellent organizational and problem-solving skills. Strong interpersonal and communication skills, with the ability to collaborate effectively with global teams and senior leadership. Commitment to continuous professional development and staying current with industry trends and best practices. Experience with Microsoft-based applications and ability to learn internal applications/systems, including Veeva platforms such as Quality Docs, eTMF, and CDMS. Experience with eQMS systems is a plus. Working conditions: This position operates in an office setting. The job may require an incumbent to be available outside of these hours to handle priority business needs. Physical requirements: This is a largely sedentary role.

Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson Ensure seamless chatbot integration with existing platforms and CRM systems Work closely with data scientists to improve machine learning models Must have strong proficiency in Python, deep learning techniques, and chatbot analytics

Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson Ensure seamless chatbot integration with existing platforms and CRM systems Work closely with data scientists to improve machine learning models Must have strong proficiency in Python, deep learning techniques, and chatbot analytics

Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson Ensure seamless chatbot integration with existing platforms and CRM systems Work closely with data scientists to improve machine learning models Must have strong proficiency in Python, deep learning techniques, and chatbot analytics

OneMagnify is looking for Databricks AI Engineer to join our dynamic team and embark on a rewarding career journey Build scalable AI models using Databricks and ML frameworks Optimize data pipelines for model training and deployment Collaborate with data scientists and engineering teams Ensure reliability and performance of AI systems

SpartaSystems is looking for Data Analyst II to join our dynamic team and embark on a rewarding career journey Collecting and analyzing large data sets using statistical and data visualization tools Identifying patterns, trends, and correlations in data to inform business decisions Developing and maintaining databases, data systems, and data analytics tools Developing and implementing data analysis processes and methodologies Creating and delivering reports and presentations that clearly communicate data insights to management and other stakeholders Collaborating with other departments, such as marketing and operations, to develop data-driven solutions to business problems Ensuring data accuracy, completeness, and integrity Designing and conducting experiments to test hypotheses and validate assumptions Developing and maintaining predictive models to forecast business outcomes

Roles and Responsibilities : Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions Proven ability to dive business results with their data-based insights Develop custom data models and algorithms to apply to data sets Use predictive modeling to increase and optimize customer experiences, revenue generation, targeting and other business outcomes Develop A/B testing framework and test model quality Coordinate with different functional teams to implement models and monitor outcomes Develop processes and tools to monitor and analyze model performance and data accuracy

Senior Engineer: Senior Data Scientist (LLM / Transformer): Responsibilities: 1. Develop application-specific interfaces that leverage LLMs and FMs to continue to enhance the associate and customer experience. 2. Design and implement AI safety and guardrails in the API layer working closely with researchers. 3. Collaborate with cross-functional teams to understand their data needs and develop solutions that meet those needs. 4. Stay updated with the latest trends and advancements in data science, machine learning, and Generative AI space. Qualifications: 1. Bachelors degree in Computer Science, Statistics, Mathematics, or a related field with 8+ years of relevant workingexperience, or Masters degree in the same with 5+ years of working experience. 2. Experience with machine learningfundamentals, with workingknowledge of Python and experience with deep learning frameworks such as Pytorch, TensorFlow, JAX or MXNet 3. Required hands-on experience with designand implementation ofapplications using Large Language Models (LLM). More specifically: Substantial prior programming experiencein languages suchas R, Python, SPARK, SQL. Comfort with professional software development process and GitHub. Google PaLM, OpenAI GPT, LLaMA, orsimilar models. LangChain, LlamaIndex, or similarframeworks. Advanced prompt engineering. Retrieval Augmented Generation (RAG). Vector databases (GCP Vector Search, ChromaDB, Experiences related to AWS services such as SageMaker,

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 : cucumber, eclipseMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while collaborating with cross-functional teams to integrate these technologies into existing systems. Your role will also require you to stay updated with the latest advancements in AI and machine learning, applying innovative approaches to solve complex problems and enhance system capabilities. 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.- Mentor junior team members to enhance their skills and knowledge.- Evaluate and recommend new tools and technologies to improve team efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI applications. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- 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 Engineer Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Must have skills : Oracle Procedural Language Extensions to SQL (PLSQL) Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Engineer, you will engage in a dynamic work environment where you will analyze, design, code, and test various components of application code across multiple clients. Your typical day will involve collaborating with team members to ensure the successful implementation of software solutions, performing maintenance and enhancements, and contributing to the overall development process. You will be responsible for delivering high-quality code while adhering to best practices and project timelines, ensuring that the applications meet the needs of the clients effectively. 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.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve development processes to increase efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Oracle Procedural Language Extensions to SQL (PLSQL).- Strong understanding of database design and optimization techniques.- Experience with application development frameworks and methodologies.- Familiarity with version control systems such as Git.- Ability to troubleshoot and resolve software defects efficiently. Additional Information:- The candidate should have minimum 5 years of experience in Oracle Procedural Language Extensions to SQL (PLSQL).- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Microsoft Power Business Intelligence (BI) Good to have skills : NAMinimum 12 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 seamless communication among team members and stakeholders. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Expected to provide solutions to problems that apply across multiple teams- Lead the application development process effectively- Ensure seamless communication among team members and stakeholders- Provide guidance and mentorship to team members Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Power Business Intelligence (BI)- Strong understanding of data visualization tools such as Tableau or Power BI- Hands-on experience in 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 12 years of experience in Microsoft Power Business Intelligence (BI)- This position is based at our Bengaluru office- A 15 years full-time education is required Qualification 15 years full time education

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 : Data Science Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various technologies, including deep learning, neural networks, and image processing, while also exploring the integration of generative AI models into your projects. Collaboration with team members and stakeholders will be essential as you contribute to innovative solutions that address complex challenges in the field of artificial intelligence. 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 requirements and translate them into technical specifications.- Conduct research and stay updated on the latest advancements in AI and machine learning technologies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Good To Have Skills: Experience with machine learning frameworks such as TensorFlow or PyTorch.- Strong understanding of data preprocessing techniques and feature engineering.- Experience in deploying machine learning models in cloud environments.- Familiarity with programming languages such as Python or R. Additional Information:- The candidate should have minimum 3 years of experience in Data Science.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Service Management Lead Project Role Description : Lead the delivery of programs, projects or managed services. Coordinate projects through contract management and shared service coordination. Develop and maintain relationships with key stakeholders and sponsors to ensure high levels of commitment and enable strategic agenda Must have skills : ServiceNow Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Service Management Lead, you will lead the delivery of programs, projects, or managed services. Coordinate projects through contract management and shared service coordination. Develop and maintain relationships with key stakeholders and sponsors to ensure high levels of commitment and enable strategic agenda. 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 delivery of programs, projects, or managed services.- Coordinate projects through contract management and shared service coordination.- Develop and maintain relationships with key stakeholders and sponsors to ensure high levels of commitment and enable strategic agenda. Professional & Technical Skills: - Must To Have Skills: Proficiency in ServiceNow.- 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 ServiceNow.- This position is based at our Chennai office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP ABAP Development for HANA Good to have skills : NAMinimum 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. A typical day involves collaborating with various teams to understand their needs, developing solutions that align with business objectives, and ensuring that applications are optimized for performance and usability. You will also engage in problem-solving activities, providing support and enhancements to existing applications while staying updated with the latest technologies and methodologies in application development. 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 knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure timely delivery of application features. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP ABAP Development for HANA.- Good To Have Skills: Experience with SAP Fiori and UI5.- Strong understanding of database management and optimization techniques.- Experience in developing and implementing custom reports and interfaces.- Familiarity with Agile methodologies and project management tools. Additional Information:- The candidate should have minimum 5 years of experience in SAP ABAP Development for HANA.- This position is based at our Kolkata office.- A 15 years full time education is required. Qualification 15 years full time education

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 : Natural Language Processing (NLP) Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these solutions effectively into existing systems and workflows. 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 knowledge sharing and mentoring within the team to enhance overall performance.- Continuously evaluate and improve existing processes and systems to optimize efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Natural Language Processing (NLP).- Strong understanding of machine learning algorithms and their applications.- Experience with cloud-based AI services and deployment strategies.- Familiarity with programming languages such as Python or Java.- Knowledge of data preprocessing techniques and tools. Additional Information:- The candidate should have minimum 5 years of experience in Natural Language Processing (NLP).- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Skill required: Marketing Operations - Customer Insight & Marketing Analytics Designation: Campaign Strategy 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 As an Insights analyst you will play a pivotal role in driving data-driven marketing strategies. You will be responsible for analyzing marketing data, identifying trends, and providing valuable insights to optimize marketing campaigns, improve customer targeting, and enhance overall business performance. This role involves collaborating with cross-functional teams and deriving key insights from data and create a coherent story to answer business questions. What are we looking for Experiencein CRM, Digital campaign and content analysis, insights & reporting Working knowledge of SQL, Tableau, Power BI, Qliksense, Python or R Good knowledge of excel Experience in marketing analytics, data analysis, or a similar role. Strong problem-solving skills and attention to detail. Good communication skills with ability to manage client-facing responsibilities Ability to work with and lead large globally networked and virtual teams Ability to wrangle data to generate meaningful insights to answer key business questions Ability and experience in storytelling with data and create a coherent story to answer business questions Strong experience on storytelling using PowerPoint An understanding of Marketing KPIs Certification in Adobe/Google Analytics or data visualization tools Understanding of technologies & principles required for implementation of AB Test Roles and Responsibilities: Analyze marketing data from various sources to identify key insights and trends. Transform data into actionable insights and recommendations to serve as valuable inputs for marketing strategies, campaign optimization, customer segmentation and data-driven business decisions Create and maintain regular reports and dashboards to track marketing KPIs and communicate performance to stakeholders. Monitor industry trends and competitor performance to identify opportunities in existing projects to cross-sell and expand delivery scope Use data visualization tools to present insights in a clear and concise manner to both technical and non-technical stakeholders. Liaise with onshore and in-market analytics leads for project plan execution Analyze trends in data to arrive at conclusions and ability to perform deep-dive analyses to study root cause for such trends Qualification Any Graduation