4399 Artificial Intelligence Jobs - Page 42

Role & responsibilities : Research emerging AI trends and evaluate their potential applications in banking. -Collaborate with startups and external partners to explore and integrate innovative AI solutions. -Work closely with senior management to align AI initiatives with the banks strategic goals. -Lead the design, development, and implementation of AI solutions across various banking functions. -Identify opportunities for process optimization, risk management, and enhanced customer experience using AI technologies Preferred candidate profile Bachelor's or Masters degree in Artificial Intelligence, Computer Science, or a related field. - Strong knowledge of AI technologies, including LLMs, machine learning, natural language processing, and automation. - Ability to translate AI research into real-world banking solutions. - Excellent communication skills for engaging with startups and senior management. - Strong problem-solving and analytical capabilities. - Hard working - Willing, proactive, and motivated

Data Scientist – 3 – Kotak811 Kotak811 is a Neobank incubated by Kotak Mahindra Bank, with a view of providing completely digitized banking services in the convenience of the customer’s mobile phone. 811 is an early mover in the Indian fintech space that started off as a downloadable savings bank account in 2017, post demonetization, when India took one step closer to a digital economy. The Data Scientist-3 in Bangalore (or Mumbai) will be part of the 811 Data Strategy Group that comprises Data Engineers, Data Scientists and Data Analytics professionals. He/she will be associated with one of the key functional areas such as Product Strategy, Cross Sell, Asset Risk, Fraud Risk, Customer Experience etc. and help build robust and scalable solutions that are deployed for real time or near real time consumption and integrated into our proprietary Customer Data Platform (CDP). This is an exciting opportunity to work on data driven analytical solutions and have a profound influence on the growth trajectory of a super fast evolving digital product. Key of The Role Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis) or substantial hands on work experience in the space 7 - 10 Years of relevant experience in the space Expertise in mining AI/ML opportunities from open ended business problems and drive solution design/development while closely collaborating with engineering, product and business teams Strong understanding of advanced data mining techniques, curating, processing and transforming data to produce sound datasets. Strong experience in NLP, time series forecasting and recommendation engines preferred Create great data stories with expertise in robust EDA and statistical inference. Should have at least a foundational understanding in Experimentation design Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop. Exposure to Deep Learning applications and tools like TensorFlow, Theano, Torch, Caffe preferred Experience with analytical programming languages, tools and libraries (Python a must) as well as Shell scripting. Should be proficient in developing production ready code as per best practices. Experience in using Scala/Java/Go based libraries a big plus Very proficient is SQL and other relational databases along with PySpark or Spark SQL. Proficient is using NoSQL databases. Experience in using GraphDBs like Neo4j a plus. Candidate should be able to handle unstructured data with ease. Candidate should have experience in working with MLEs and be proficient (with experience) in using MLOps tools. Should be able to consume the capabilities of said tools with deep understanding of deployment lifecycle. Experience in CI/CD deployment is a big plus. Knowledge of key concepts in distributed systems like replication, serialization, concurrency control etc. a big plus Good understanding of programming best practices and building code artifacts for reuse. Should be comfortable with version controlling and collaborate comfortably in tools like git Ability to create frameworks that can perform model RCAs using analytical and interpretability tools. Should be able to peer review model documentations/code bases and find opportunities Experience in end-to-end delivery of AI driven Solutions (Deep learning , traditional data science projects) Strong communication, partnership and teamwork skills Should be able to guide and mentor teams while leading them by example. Should be an integral part of creating a team culture focused on driving collaboration, technical expertise and partnerships with other teams Ability to work in an extremely fast paced environment, meet deadlines, and perform at high standards with limited supervision A self-starter who is looking to build grounds up and contribute to the making of a potential big name in the space Experience in Banking and financial services is a plus. However, sound logical reasoning and first principles problem solving are even more critical A typical day in the life of the job role1. As a key partner at the table, attend key meetings with the business team to bring in the data perspective to the discussions 2. Perform comprehensive data explorations around to generate inquisitive insights and scope out the problem 3. Develop simplistic to advanced solutions to address the problem at hand. We believe in making swift (albeit sometimes marginal) impact to business KPIs and hence adopt an MVP approach to solution development 4. Build re-usable code analytical frameworks to address commonly occurring business questions 5. Perform 360-degree customer profiling and opportunity analyses to guide new product strategy. This is a nascent business and hence opportunities to guide business strategy are plenty 6. Guide team members on data science and analytics best practices to help them overcome bottlenecks and challenges 7. The role will be an approximate 60% IC – 40% leading and the ratios can vary basis need and fit 8. Develop Customer-360 Features that will be integrated into the Customer Data Platform (CDP) to enhance the single view of our customer Websitehttps://www.kotak811.com/

Notice Period: (Immediate Joiner - Only) Key Responsibilities: Fine-tune and optimize Large Language Models (LLMs) for mid-to-large-scale live production-quality applications. Host and deploy LLMs on custom infrastructure, ensuring high availability and performance. Conduct LLM evaluation following best practices as outlined in the Hugging Face LLM Evaluation Guide. Collaborate with cross-functional teams to design, develop, and implement AI-driven solutions tailored to business needs. Ensure model scalability, security, and compliance with industry standards. Required Skills and Experience : Experience: 4 years of hands-on experience with Generative AI and LLMs. (Total IT experience is not a priority.) Domain Expertise: Prior experience in the fintech or financial services domain is essential. LLM Fine-Tuning: Demonstrated expertise in fine-tuning LLMs for live production environments (academic or PoC projects are not relevant). Infrastructure Management: Experience with hosting and deploying LLMs on custom infrastructure. LLM Evaluation: Proficiency in conducting LLM evaluations using industry-recognized methodologies and frameworks. Technical Skills : Proficiency in Python and relevant AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face). Strong understanding of LLM architectures and their optimization techniques. Familiarity with cloud-based or on-premise infrastructure for AI deployments.

AI/Python Engineer Looking for a world of opportunities and a fulfilling career? We are seeking an AI and Python Engineers who can work with our team to help us develop and implement AI Products and Solutions for our clients. The ideal candidate will have a solid understanding of AI and Python and be able to apply this knowledge to solve complex business problems. Work youll do Develop and implement AI models (Computer Vision, LLM-Large language model and RAG) and Python tech stack (Fast API, Django, Flask etc) Working with SQL and vector databases like Weaviate, Qdrant, pgvector, postgres, etc Evaluate the performance of AI models and make necessary adjustments. Communicate complex technical concepts to non-technical stakeholders. Stay up to date with the latest AI and Python technologies and techniques. Provide guidance and mentorship to junior team members. Qualifications and Experience Minimum Qualification: 5+ years of experience in AI and related services. Hands on Python development experience. Good knowledge on Data Structures and algorithms. . Bachelor's or Master's degree in Computer Science, Data Science, or a related field Preferred Qualification: Applied AI experience (Solution Implementation exp is a MUST)

Responsibilities: Collaborating with Delivery, Infra and Product teams Create solutions for problems that cant be solved using current product offerings Interacting with Client Tech/Business teams. Understanding client workflows and replicating the same using Skits existing products where possible. Researching, diagnosing, troubleshooting and identifying solutions to resolve the client integration issues Taking ownership of API/Telephony integration issues reported and seeing problems through to resolution Understanding Tech issues involved in integration & providing resolution Automating operational tasks being done manually to increase efficiency Requirements Ability to debug systems/calls using Logs/Traces Ability to write code using Python Willingness to collaborate with other teams/other roles. Willingness to learn and experiment with new languages and technologies. Experience Professional experience of 0-2 years. Has experience with integrating or building HTTP APIs Has hands-on experience of working with Python Good communicator Preferred Requirements: Has experience working in any of Django Rest Framework, Redis, Celery Good understanding of various applied ML concepts and problems Has python programming experience on machine learning based projects Technical Understanding of Computer Science fundamentals, using them to effectively design and write code in python. Hands-on experience developing microservices/projects in Python is preferrable. Hands-on experience working with RDBMS like PostgreSQL. Experience working with container platforms like Docker, Kubernetes is a plus. Experience with AWS or any comparable cloud technology is a plus.

This is an Internal document. About Kotak Mahindra GroupEstablished in 1985, the Kotak Mahindra Group is one of India’s leading financial services conglomerates. In February 2003, Kotak Mahindra Finance Ltd (KMFL), the group’s flagship company, received a banking license from the Reserve Bank of India (RBI). With this, KMFL became the first non-banking finance company in India to become a bank – Kotak Mahindra Bank Limited. The consolidated balance sheet of Kotak Mahindra Group is over 1 lakh crore and the consolidated net worth of the Group stands at 13,943 crore (approx. US$2.6 billion) as on September 30, 2012. The Group offers a wide range of financial services that encompass every sphere of life. From commercial banking to stock broking, mutual funds, life insurance and investment banking, the Group caters to the diverse financial needs of individuals and the corporate sector. The Group has a wide distribution network through branches and franchisees across India, the international offices in London, New York, California, Dubai, Abu Dhabi, Bahrain, Mauritius and Singapore. For information, please visit the company’s website at http://www.kotak.com What we offer Our mission is simple – Building trust. Our customers' trust in us is not merely about the safety of their assets but also about how dependable our digital offerings are. That’s why we at Kotak Group are dedicated to transforming banking by imbibing a technology-first approach in everything we do, with an aim to enhance customer experience by providing superior banking services. We welcome and invite the best analytical and technological minds in the country to come join us in our mission to make banking seamless and swift. Here, we promise you meaningful work that positively impacts the lives of many. – Kotak Data LabsKotak Data Labs plays a pivotal role in driving innovation and business growth at Kotak. The team collaborates with stakeholders and data providers, leveraging advanced analytics and Data Science / Machine Learning techniques to drive strategic decision-making across the bank. The core work charter includes supporting different products across the bank by developing solutions across the customer journey to drive Acquisition, Engagement and Retention using cutting-edge Data Science capabilities and Data platforms. The Data Scientist and Data Analyst role within the team involves deploying projects from conception to actionable insights, enabling data-driven marketing strategies, developing risk scorecards, building behavioral models and impact in the banking business. This role focuses on leveraging Data science techniques for model development, feature engineering, driving automation, process improvement, and operational efficiency while demonstrating innovative thinking, passion for data science and fostering cross-team collaboration. Establishing strong working relationship with stakeholders in the bank is also a key aspect of this role. This is an Internal document. Roles and ResponsibilitiesDeliver end to end Data Science projects including understanding of business requirements, exploratory data analysis, data processing, aggregating data, feature engineering, building and validating predictive models, explaining model results & insights and deployment Use AI, ML, DL techniques such as regression, classification, clustering, tree-based algorithms, support vector machine, and neural networks, recommender system, attribution modelling to address business problems. Improve upon existing methodologies by developing new data sources/features, testing model enhancements, and fine-tuning model parameters. Provide requirements to develop analytical capabilities, platforms, and pipelines. Present insights and recommendations to audiences of varying levels of technical sophistication Automate processes to ensure scalability of solutions by collaborating with crossfunctional teams Perform the data extraction, transformations, and loading from the source systems and the data lake to the analytics products using independently developed logic Challenge the status quo with entrepreneurial innovation in curating new data sources, elevating analytics beyond data reporting and dashboarding to deliver actionable insights Skill requirementsMaster’s or Bachelor’s Degree in a quantitative discipline (Statistics, Economics, Mathematics, Computer Science, Engineering, etc.) Coding skills in Python, SQL Deep understanding and hands-on experience with ML/DL Algorithms Experience of working with large data sets and developing scalable solutions Knowledge of Marketing, Risk, Business, Banking and Financial services, E-Commerce is preferred Ability to work independently and deal with ambiguity Strong analytical and problem-solving skills Excellent presentation and strong written & verbal communication skills Knowledge of Banking products, Marketing strategies and Generative AI is a plus Highly motivated and collaborative team player with strong interpersonal skills

Great opportunity for freshers passionate about AI/ML and cybersecurity to work on real-world problems like traffic analysis, malware, and anomaly detection, supporting AI/ML models for NDR and Forensics solutions.

Job description Prepare curriculum and instruction for the Computer science department Plan and execute department events and activities. Mentor students in their academic achievement and future prospects. Deliver class room Lecture / Lab Sessions on Computer Science (CSE) Core Subjects such as Programming / DBMS / OS / Networks Arranging guest lectures & workshops for the students in the department. Formulating the most prestigious and well-balanced academic program that encourages research as well as addresses the industry's needs Articulating and promoting scholarly excellence culminating into meaningful products and services for the marketplace and society Improvising and adopting the best practices from the top universities and corporations in the world Providing leadership to earn recognition for the department, including participation in conferences, events, and competitions Establishing a strong internship and placement program within the department Other responsibilities include, but are not limited to fiscal planning, resource allocation, performance evaluations, cultivating a vibrant work culture, etc Eligibility M.Tech /MCA Published works would be advantageous. Strong analytical, observational, and problem-solving skills. Excellent research, writing, and interpersonal skills. A passion for teaching/training/research and engaging with students.

Key Responsibilities: Fine-tune and optimize Large Language Models (LLMs) for mid-to-large-scale live production-quality applications. Host and deploy LLMs on custom infrastructure, ensuring high availability and performance. Conduct LLM evaluation following best practices as outlined in the Hugging Face LLM Evaluation Guide. Collaborate with cross-functional teams to design, develop, and implement AI-driven solutions tailored to business needs. Ensure model scalability, security, and compliance with industry standards. Required Skills and Experience : Experience: 4 years of hands-on experience with Generative AI and LLMs. (Total IT experience is not a priority.) Domain Expertise: Prior experience in the fintech or financial services domain is essential. LLM Fine-Tuning: Demonstrated expertise in fine-tuning LLMs for live production environments (academic or PoC projects are not relevant). Infrastructure Management: Experience with hosting and deploying LLMs on custom infrastructure. LLM Evaluation: Proficiency in conducting LLM evaluations using industry-recognized methodologies and frameworks. Technical Skills : Proficiency in Python and relevant AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face). Strong understanding of LLM architectures and their optimization techniques. Familiarity with cloud-based or on-premise infrastructure for AI deployments.

Job description Job Title: AI Decision Science Manager Strategy & Consulting Global Network Management Level: 07 - Manager Location: Primary - Bengaluru, Secondary - Gurugram Must-Have Skills: Python, R, SQL, Machine Learning, Deep Learning, Cloud Platforms (AWS, Azure, GCP), Big Data Tools (Hadoop, Spark), Data Visualization (Power BI, Tableau), Team Management, Stakeholder Engagement, Mentoring, Project Management. Good-to-Have Skills: Azure, AWS, GCP, Familiarity with advanced analytical techniques, including machine learning (e.g., Random Forest, Gradient Boosting) and deep learning (e.g., RNN, CNN), Experience with Large Language Models (LLMs) and tools like ChatGPT, Hugging Face. Job Summary :As an AI Decision Science Manager, you will leverage your expertise in AI, data science, and the Consumer Goods & Services domain to deliver innovative, data-driven solutions for Accenture's global clients. You will lead multi-disciplinary teams to design, develop, and implement AI strategies that drive measurable business outcomes, enhancing customer experience, revenue growth, and operational efficiency. Roles & Responsibilities: Analyze extensive datasets from CG&S sources like Nielsen and IRI to synthesize actionable insights. Evaluate clients' AI and analytics maturity and develop data-driven solutions across various business domains. Lead the design and deployment of advanced analytics solutions using cutting-edge platforms and tools. Provide technical guidance on statistical and machine learning techniques. Collaborate with cross-functional teams to address CG&S pain points, including revenue growth management, route-to-market strategies, and demand forecasting. Stay updated on the latest advancements in AI and integrate innovative approaches into solutions. Professional & Technical Skills: Expertise in traditional statistical techniques (e.g., regression, time series) and machine learning methods (e.g., clustering, decision trees). Familiarity with optimization methods, including linear and evolutionary techniques. Strong communication skills for engaging both technical and non-technical stakeholders. Proven ability to lead client-facing roles and large project teams. Exceptional attention to detail and a proactive, problem-solving mindset. Additional Information: This role offers an opportunity to work in a dynamic and collaborative environment, driving innovation and delivering impactful results for global clients in the Consumer Goods & Services sector. About Our Company Qualification Experience: 7-9 years of direct experience in Data Science and AI within the Consumer Goods & Services industry. Educational Qualification: Bachelors or Masters degree in Statistics, Economics, Mathematics, Computer Science, or an MBA specializing in Data Science.

About Position: We are seeking a highly skilled Senior Python AI Developer with proven experience in Generative AI, LangChain, and data pipeline integration tools like Logstash and Elasticsearch. Role: Python AI Developer Location: Pune Experience: 4-8 Years Job Type: Full Time Employment What You'll Do: Design and implement scalable and secure AI applications using Generative AI models (e.g., GPT, Claude, LLaMA). Develop and optimize pipelines using LangChain for prompt engineering, document retrieval (RAG), and intelligent agent workflows. Build RESTful APIs to expose AI/ML services and integrate them into applications. Architect and manage data flows from structured/unstructured sources using Logstash and Elasticsearch. Index, search, and analyze large datasets using Elasticsearch and integrate them with vector embeddings. Collaborate with product, data, and ML teams to define AI application scope and deliver robust solutions. Ensure performance, scalability, and security in AI and API services. Document system architecture, workflows, and API specifications. Expertise You'll Bring: 4+ years of professional experience in Python development. Strong hands-on experience with LangChain and Generative AI architectures. Proficiency in building and consuming REST APIs. Solid understanding of Elasticsearch (indexing, querying, vector search) and Logstash for data ingestion and transformation. Experience working with LLMs (OpenAI, Cohere, Hugging Face, etc.) and building RAG (Retrieval-Augmented Generation) pipelines. Familiarity with vector stores (e.g., FAISS, Weaviate, Pinecone). Strong knowledge of software engineering principles, version control (Git), and agile methodologies. Excellent problem-solving skills, with a focus on quality and attention to detail. Benefits: Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Inclusive Environment: Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds. We offer hybrid work options and flexible working hours to accommodate various needs and preferences. Our office is equipped with accessible facilities, including adjustable workstations, ergonomic chairs, and assistive technologies to support employees with physical disabilities. If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment. We are committed to creating an inclusive environment where all employees can thrive. Our company fosters a values-driven and people-centric work environment that enables our employees to: Accelerate growth, both professionally and personally Impact the world in powerful, positive ways, using the latest technologies Enjoy collaborative innovation, with diversity and work-life wellbeing at the core Unlock global opportunities to work and learn with the industry's best Let's unleash your full potential at Persistent "Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind."

Job Description: AI Automation Developer: Design, develop, and deploy generative AI models Leveraging your expertise in Generative AI, Python, Machine Learning, Data Science, and Statistics to develop cutting-edge solutions for our clients. Utilizing NLP techniques, Lang Chain, and LLM's to develop conversational chatbots and language models tailored to our clients' needs. Collaborating with cross-functional teams to design and implement advanced AI models and algorithms. Providing technical expertise and thought leadership in the field of Generative AI and NLP to guide clients in adopting AI-driven solutions. Conducting data analysis, preprocessing, and modeling to extract valuable insights and drive data-driven decision-making. Staying up to date with the latest advancements in AI technologies, frameworks, and tools, and proactively learning and adopting new technologies to enhance our offerings. Demonstrating a strong understanding of cloud platforms for deploying AI applications. Preferred candidates would have experience with DU (Document Understanding) OR DA (Document Automation).

Project Role : Data Architect Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. Must have skills : Data & AI Strategy Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Architect, you will define the data requirements and structure for the application. Your typical day will involve modeling and designing the application data structure, storage, and integration, ensuring that the data architecture aligns with the overall business strategy and meets the needs of various stakeholders. You will collaborate with cross-functional teams to gather requirements, analyze data flows, and implement best practices in data management, all while maintaining a focus on scalability and performance. Your role will be pivotal in shaping the data landscape of the organization, driving innovation, and enabling data-driven decision-making across the enterprise. 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.- Facilitate knowledge sharing and mentoring within the team to enhance overall capabilities.- Develop and maintain documentation related to data architecture and design principles. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data & AI Strategy.- Strong understanding of data modeling techniques and best practices.- Experience with data integration tools and methodologies.- Familiarity with cloud-based data storage solutions and architectures.- Ability to analyze complex data sets and derive actionable insights. Additional Information:- The candidate should have minimum 12 years of experience in Data & AI Strategy.- This position is based at our Gurugram office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Architect Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. Must have skills : Data & AI Strategy Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Architect, you will define the data requirements and structure for the application. Your typical day will involve modeling and designing the application data structure, storage, and integration, ensuring that the data architecture aligns with the overall business strategy and meets the needs of various stakeholders. You will collaborate with cross-functional teams to gather requirements and translate them into effective data solutions, while also addressing any challenges that arise during the development process. Your role will be pivotal in establishing a robust data framework that supports the organization's objectives and enhances data accessibility and usability. 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.- Facilitate knowledge sharing and best practices among team members.- Monitor and evaluate the effectiveness of data strategies and make necessary adjustments. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data & AI Strategy.- Strong understanding of data modeling techniques and best practices.- Experience with data integration tools and methodologies.- Ability to design scalable and efficient data architectures.- Familiarity with cloud-based data solutions and platforms. Additional Information:- The candidate should have minimum 12 years of experience in Data & AI Strategy.- This position is based at our Mumbai office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Architect Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. Must have skills : Data & AI Strategy Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Architect, you will define the data requirements and structure for the application. Your typical day will involve modeling and designing the application data structure, storage, and integration. You will collaborate with various teams to ensure that the data architecture aligns with business objectives and supports the overall data strategy. You will also engage in discussions to refine data models and address any challenges that arise during the development process, ensuring that the data architecture is robust and scalable to meet future needs. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate workshops and meetings to gather requirements and feedback from stakeholders.- Mentor junior team members to enhance their skills and understanding of data architecture. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data & AI Strategy.- Strong understanding of data modeling techniques and best practices.- Experience with data integration tools and methodologies.- Familiarity with cloud data services and architectures.- Ability to design and implement data governance frameworks. Additional Information:- The candidate should have minimum 12 years of experience in Data & AI Strategy.- This position is based at our Mumbai office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Architect Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. Must have skills : Data & AI Strategy Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Architect, you will define the data requirements and structure for the application. Your typical day will involve modeling and designing the application data structure, storage, and integration, ensuring that the architecture aligns with business objectives and supports efficient data management and accessibility. You will collaborate with various teams to understand their data needs and provide innovative solutions that enhance data utilization across the organization. Roles & Responsibilities:- Expected to be a Subject Matter Expert with deep knowledge and experience.- Should have influencing and advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate workshops and discussions to gather requirements and feedback from stakeholders.- Continuously evaluate and improve data architecture practices to ensure scalability and performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data & AI Strategy.- Strong understanding of data modeling techniques and best practices.- Experience with data integration tools and methodologies.- Ability to design and implement data governance frameworks.- Familiarity with cloud-based data storage solutions and architectures. Additional Information:- The candidate should have minimum 15 years of experience in Data & AI Strategy.- This position is based at our Gurugram office.- A 15 years full time education is required. Qualification 15 years full time education

Job Title: Industry & Function AI Decision Science Manager + S&C GN Management Level:07 - Manager Location: Primary Bengaluru, Secondary Gurugram Must-Have Skills: Consumer Goods & Services domain expertise , AI & ML, Proficiency in Python, R, PySpark, SQL , Experience in cloud platforms (Azure, AWS, GCP) , Expertise in Revenue Growth Management, Pricing Analytics, Promotion Analytics, PPA/Portfolio Optimization, Trade Investment Optimization. Good-to-Have Skills: Experience with Large Language Models (LLMs) like ChatGPT, Llama 2, or Claude 2 , Familiarity with optimization methods, advanced visualization tools (Power BI, Tableau), and Time Series Forecasting Job Summary : As a Decision Science Manager , you will lead the design and delivery of AI solutions in the Consumer Goods & Services domain. This role involves working closely with clients to provide advanced analytics and AI-driven strategies that deliver measurable business outcomes. Your expertise in analytics, problem-solving, and team leadership will help drive innovation and value for the organization. Roles & Responsibilities: Analyze extensive datasets and derive actionable insights for Consumer Goods data sources (e.g., Nielsen, IRI, EPOS, TPM). Evaluate AI and analytics maturity in the Consumer Goods sector and develop data-driven solutions. Design and implement AI-based strategies to deliver significant client benefits. Employ structured problem-solving methodologies to address complex business challenges. Lead data science initiatives, mentor team members, and contribute to thought leadership. Foster strong client relationships and act as a key liaison for project delivery. Build and deploy advanced analytics solutions using Accentures platforms and tools. Apply technical proficiency in Python, Pyspark, R, SQL, and cloud technologies for solution deployment. Develop compelling data-driven narratives for stakeholder engagement. Collaborate with internal teams to innovate, drive sales, and build new capabilities. Drive insights in critical Consumer Goods domains such as Revenue Growth Management Pricing Analytics and Pricing Optimization Promotion Analytics and Promotion Optimization SKU Rationalization/ Portfolio Optimization Price Pack Architecture Decomposition Models Time Series Forecasting Professional & Technical Skills: Proficiency in AI and analytics solutions (descriptive, diagnostic, predictive, prescriptive, generative). Expertise in delivering large scale projects/programs for Consumer Goods clients on Revenue Growth Management - Pricing Analytics, Promotion Analytics, Portfolio Optimization, etc. Deep and clear understanding of typical data sources used in RGM programs POS, Syndicated, Shipment, Finance, Promotion Calendar, etc. Strong programming skills in Python, R, PySpark, SQL, and experience with cloud platforms (Azure, AWS, GCP) and proficient in using services like Databricks and Sagemaker. Deep knowledge of traditional and advanced machine learning techniques, including deep learning. Experience with optimization techniques (linear, nonlinear, evolutionary methods). Familiarity with visualization tools like Power BI, Tableau. Experience with Large Language Models (LLMs) like ChatGPT, Llama 2. Certifications in Data Science or related fields. Additional Information: The ideal candidate has a strong educational background in data science and a proven track record in delivering impactful AI solutions in the Consumer Goods sector. This position offers opportunities to lead innovative projects and collaborate with global teams. Join Accenture to leverage cutting-edge technologies and deliver transformative business outcomes. About Our Company | AccentureQualification Experience: Minimum 7-9 years of experience in data science, particularly in the Consumer Goods sector Educational Qualification: Bachelors or Masters degree in Statistics, Economics, Mathematics, Computer Science, or MBA (Data Science specialization preferred)

Job Title - S&C Global Network - AI - CG&S - Viz Consultant Data Science Management Level: 9-Team Lead/Consultant Location: Gurugram Must-have skills: Data Science Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: What you would do in this role We are seeking a skilled and experienced Visualization & Interactions Science Consultant to join our team. The ideal candidate should have a strong background in data visualization, human-computer interaction, and user experience design, with a passion for leveraging data-driven insights to create impactful visualizations and interactive experiences for business. Responsibilities: Collaborate with CG&S clients and stakeholders to understand business requirements and user needs and translate them into effective user journey with impactful visualization and interaction design solutions. Provide consultation and guidance to internal stakeholders on visualization and interaction design principles, tools, and techniques. Run codesign sessions and develop interactive data visualizations and dashboards using industry-leading tools and technologies, such as Power BI, Tableau, Qlik, PowerApps, Power Automate, React JS, D3.js etc Conduct user research, usability testing, and user feedback analysis to iteratively improve the usability and effectiveness of visualization products. Apply principles of data storytelling and narrative visualization to create compelling and informative data-driven stories. Stay abreast of emerging trends and best practices in data visualization, human-computer interaction, and user experience design, and share insights and recommendations with the team. Collaborate with data scientists, analysts, and engineers to integrate visualizations into data-driven applications and products. Contribute to thought leadership and knowledge sharing initiatives within the organization, such as blog posts, whitepapers, and presentations. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 8 to 10 Years Educational Qualification: Any Degree

Skill required: Tech for Operations - Artificial Intelligence (AI) Designation: AI/ML Computational Science Assoc Dir Qualifications: Any Graduation Years of Experience: 18 to 28 years About Accenture 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. Visit us at www.accenture.com What would you do Join Accenture as a leader in the Intelligent Automation practice, driving high-impact automation initiatives that transform our clients businesses. These roles are ideal for seasoned leaders (20 - 25 years of experience) with expertise in delivery leadership, business development, capability building and asset development across Intelligent Automation, AI/ML, Hyperautomation, Generative AI, Agentic AI and other emerging technologies. What are we looking for 1. 20-25 years of progressive experience in Business Technology Management & Intelligent Automation, with deep expertise in delivery leadership, business development, capability building and offering development.2. Proven ability to drive large-scale automation implementations, manage CXO-level relationships and sell intelligent automation-led transformation solutions.3. Strong experience in automation technology stacks, including RPA (UiPath, Automation Anywhere, Blue Prism, Power Platform), and exposure to AI/ML, Hyperautomation, Generative AI, Agentic AI, and more.4. Expertise in offering development, sales pitches, collateral building, and go-to-market strategies, with a track record of successful sales and solutioning initiatives.5. Engineering degree from a top-tier institute + MBA from a premier business school. Experience with prestigious global professional services firms is highly preferred. Roles and Responsibilities: 1. As an Intelligent Automation Associate Director you will Lead Intelligent Automation Delivery Oversee multiple automation projects, ensuring high-quality execution, client satisfaction and successful outcomes, while managing stakeholder expectations, project timelines and delivery-led sales.2. Drive Business Development & Sales Lead automation-led sales pursuits, leveraging Accentures credentials to create compelling proposals, develop sales collaterals and drive cross-sell & up-sell opportunities.3. Develop & Upskill Internal Capabilities Establish a continuous skill advancement process, upskilling teams in advanced RPA and next-gen automation technologies like AI/ML, Hyperautomation, Generative AI and Agentic AI to stay ahead of industry trends and client needs.4. Lead Asset & Framework Development Develop reusable automation tools, frameworks and accelerators, driving efficiency, scalability and differentiation.5. Shape & Socialize Intelligent Automation Offerings Define, design and develop What-Why-How-Commercials pitches to socialize new offerings with external clients and Accentures internal stakeholders. Drive outreach, adoption and value realization. Qualification Any Graduation

Job Title - S&C Global Network - AI - Healthcare Analytics - Consultant Management Level: 9-Team Lead/Consultant Location: Bangalore/Gurgaon Must-have skills: R,Phython,SQL,Spark,Tableau ,Power BI Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHATS IN IT FOR YOU An opportunity to work on high-visibility projects with top Pharma clients around the globe. Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everythingfrom how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization. What you would do in this role Support delivery of small to medium-sized teams to deliver consulting projects for global clients. Responsibilities may include strategy, implementation, process design, and change management for specific modules. Work with the team or as an Individual contributor on the project assigned which includes a variety of skills to be utilized from Data Engineering to Data Science Provide Subject matter expertise in various sub-segments of the LS industry. Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community. Acquire new skills that have utility across industry groups. Support strategies and operating models focused on some business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact. Co-lead proposals, and business development efforts and coordinate with other colleagues to create consensus-driven deliverables. Execute a transformational change plan aligned with the clients business strategy and context for change. Engage stakeholders in the change journey and build commitment to change. Make presentations wherever required to a known audience or client on functional aspects of his or her domain. Who are we looking for Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field. Proven experience (4+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Excellent understanding of Pharma data sets commercial, clinical, RWE (Real World Evidence) & EMR (Electronic medical records) Leverage ones hands on experience of working across one or more of these areas such as real-world evidence data, R&D clinical data, digital marketing data. Hands-on experience with handling Datasets like Komodo, RAVE, IQVIA, Truven, Optum etc. Hands-on experience in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Proficiency in Programming languages such as R, Python, SQL, Spark, etc. Ability to work with large data sets and present findings/insights to key stakeholders; Data management using databases like SQL. Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models. Experience with any of the Data Visualization tools like Tableau, Power BI, Qlikview, Spotfire is good to have. Excellent analytical and problem-solving skills, with a data-driven mindset. Proficient in Excel, MS Word, PowerPoint, etc. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good communication, interpersonal, and presentation skills Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 4-8 Years Educational Qualification: Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.

Job Title - S&C Global Network - AI - Healthcare Analytics - Manager Management Level: 7-Manager Location: Bangalore/Gurgaon Must-have skills: R,Phython,SQL,Spark,Tableau ,Power BI Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHATS IN IT FOR YOU An opportunity to work on high-visibility projects with top Pharma clients around the globe. Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everythingfrom how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. What you would do in this role Support delivery of small to medium-sized teams to deliver consulting projects for global clients. Responsibilities may include strategy, implementation, process design, and change management for specific modules. Manage daily operations within the team, guide & counsel the team members towards driving the Solution delivery to the Client. Participating in client discussions, developing new industry Point of View (PoV), re-usable assets (tools) Translate complex analytical findings into clear and concise reports and presentations for various stakeholders, including clinicians, executives, and patients (depending on the role). Provide Subject matter expertise in various sub-segments of the LS industry. Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community. Acquire new skills that have utility across industry groups. Support strategies and operating models focused on some business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact. Co-lead proposals, and business development efforts and coordinate with other colleagues to create consensus-driven deliverables. Execute a transformational change plan aligned with the clients business strategy and context for change. Engage stakeholders in the change journey and build commitment to change. Make presentations wherever required to a known audience or client on functional aspects of his or her domain. Who are we looking for Proven experience (10 + years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Familiarity with assets OR tools in business consulting (R&D), such as issue trees, implementation frameworks, diagnosis tools like client questionnaire and analysis, operating model, business process mapping, and so on. Preferably worked with R&D functions such as Laboratory functions (R&D and Quality Check labs), clinical operations and development, decentralized clinical trials, pharmacovigilance, regulatory, quality management system, in capacity of a business analyst or management consultant. Working knowledge of clinical data management platforms such as Medidata/ RAVE, Veeva Clinical suite, pharmacovigilance databases ArisG & ARGUS databases, Regulatory Information Management Systems (Veeva RIM), lab informatics is desirable Leverage ones hands-on experience of working across one or more of these areas such as real-world evidence data, R&D clinical data, and digital marketing data. Familiarity with assets OR tools in business consulting (R&D), such as issue trees, implementation frameworks, diagnosis tools like client questionnaire and analysis, operating model, business process mapping, and so on. Preferably worked with R&D functions such as Laboratory functions (R&D and Quality Check labs), clinical operations and development, decentralized clinical trials, pharmacovigilance, regulatory, quality management system, in capacity of a business analyst or management consultant. Working knowledge of clinical data management platforms such as Medidata/ RAVE, Veeva Clinical suite, pharmacovigilance databases ArisG & ARGUS databases, Regulatory Information Management Systems (Veeva RIM), lab informatics is desirable Excellent analytical and problem-solving skills, with a data-driven mindset. Proficient in Excel, MS Word, PowerPoint, etc. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good Client handling skills; able to demonstrate thought leadership & problem-solving skills. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 8-12 Years Educational Qualification: Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.

Job Title - S&C Global Network - AI - Healthcare Analytics - Manager Management Level: 7-Manager Location: Bangalore/Gurgaon Must-have skills: R,Phython,SQL,Spark,Tableau ,Power BI Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHATS IN IT FOR YOU An opportunity to work on high-visibility projects with top Pharma clients around the globe. Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everythingfrom how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. What you would do in this role Support delivery of small to medium-sized teams to deliver consulting projects for global clients. Responsibilities may include strategy, implementation, process design, and change management for specific modules. Manage daily operations within the team, guide & counsel the team members towards driving the Solution delivery to the Client. Participating in client discussions, developing new industry Point of View (PoV), re-usable assets (tools) Translate complex analytical findings into clear and concise reports and presentations for various stakeholders, including clinicians, executives, and patients (depending on the role). Provide Subject matter expertise in various sub-segments of the LS industry. Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community. Acquire new skills that have utility across industry groups. Support strategies and operating models focused on some business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact. Co-lead proposals, and business development efforts and coordinate with other colleagues to create consensus-driven deliverables. Execute a transformational change plan aligned with the clients business strategy and context for change. Engage stakeholders in the change journey and build commitment to change. Make presentations wherever required to a known audience or client on functional aspects of his or her domain. Who are we looking for Proven experience (10 + years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Familiarity with assets OR tools in business consulting (R&D), such as issue trees, implementation frameworks, diagnosis tools like client questionnaire and analysis, operating model, business process mapping, and so on. Preferably worked with R&D functions such as Laboratory functions (R&D and Quality Check labs), clinical operations and development, decentralized clinical trials, pharmacovigilance, regulatory, quality management system, in capacity of a business analyst or management consultant. Working knowledge of clinical data management platforms such as Medidata/ RAVE, Veeva Clinical suite, pharmacovigilance databases ArisG & ARGUS databases, Regulatory Information Management Systems (Veeva RIM), lab informatics is desirable Leverage ones hands-on experience of working across one or more of these areas such as real-world evidence data, R&D clinical data, and digital marketing data. Familiarity with assets OR tools in business consulting (R&D), such as issue trees, implementation frameworks, diagnosis tools like client questionnaire and analysis, operating model, business process mapping, and so on. Preferably worked with R&D functions such as Laboratory functions (R&D and Quality Check labs), clinical operations and development, decentralized clinical trials, pharmacovigilance, regulatory, quality management system, in capacity of a business analyst or management consultant. Working knowledge of clinical data management platforms such as Medidata/ RAVE, Veeva Clinical suite, pharmacovigilance databases ArisG & ARGUS databases, Regulatory Information Management Systems (Veeva RIM), lab informatics is desirable Excellent analytical and problem-solving skills, with a data-driven mindset. Proficient in Excel, MS Word, PowerPoint, etc. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good Client handling skills; able to demonstrate thought leadership & problem-solving skills. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 8-12 Years Educational Qualification: Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, and GenAI models. Your role involves creating cloud or on-prem application pipelines with production-ready quality, incorporating deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Lead the implementation of large language models in AI applications.- Research and apply cutting-edge AI techniques to enhance system performance.- Contribute to the development and deployment of AI solutions across various domains. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- 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 12 years of experience in Large Language Models.- This position is based at our Hyderabad office.- A 15 years full-time education is required. Qualification 15 years full time education

Job Title - S&C GN AI - Insurance Decision Scientist- Analyst Management Level: 11-Analyst Location: Pune, PDC2C Must-have skills: Data Analysis Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHATS IN IT FOR YOU Accenture Global Network is a unified powerhouse that combines the capabilities of Strategy & Consulting with the force multipliers of Data and Artificial Intelligence. It is central to Accenture's future growth and Accenture is deeply invested in providing individuals with continuous opportunities for learning and growth. Youll be part of a diverse, vibrant, global community, continually pushing the boundaries of business capabilities. Accenture is also ranked 10th* on the 2023 Worlds Best Workplaces list, making it a great place to work. What you would do in this role Help the team architect, design, build, deploy, deliver, and monitor advanced analytics models for different insurance problems Collaborate with cross-functional global teams to understand complex business & engineering problems in insurance and translate them into data-driven solutions that deliver insights for action and operational improvements Consume data from multiple sources and present information in a crisp and digestible manner that delivers valuable insights to both technical and non-technical audiences Provide coaching to junior team-members on advanced analytical concepts Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Who we are looking for 2-4 years of experience in data-driven techniques including exploratory data analysis and data pre-processing & machine learning to solve business problems for the Insurance Industry Bachelors degree in mathematics, statistics, economics, computer science or related fields Strong foundation in Statistical Modeling, Machine Learning algorithms including k-means clustering, linear & logistic regression, decision trees and others Proficiency in programming languages such as Python, SQL, PySpark with experience in data manipulation, statistical analysis, and machine learning libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch) Good communication and presentation skills to effectively convey complex data insights and recommendations to clients and stakeholders Prior experience in the Insurance industry is mandatory Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 3-5Years Educational Qualification: Any Degree

Job Title - S&C GN AI - Insurance AI Consulting Manager - CL7 Management Level: 7-Manager Location: Bengaluru, BDC7C Must-have skills: Responsible AI Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHATS IN IT FOR YOU Accenture Global Network is a unified powerhouse that combines the capabilities of Strategy & Consulting with the force multipliers of Data and Artificial Intelligence. It is central to Accenture's future growth and Accenture is deeply invested in providing individuals with continuous opportunities for learning and growth. Youll be part of a diverse, vibrant, global community, continually pushing the boundaries of business capabilities. Accenture is also ranked 10th* on the 2023 Worlds Best Workplaces list, making it a great place to work. What you would do in this role Complete understanding of the current state of affairs in machine learning and AI Interacting with clients on regular basis, understanding their requirements and transforming that into business framework and providing advanced analytics solutions Manage a team of data scientist and data engineers Provide regular coaching to team on team management and advanced analytical concepts Excellent written and verbal communication skills Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Who we are looking for Bachelors degree in economics, mathematics, computer science/engineering, operations research or related analytics areas; MBA from the top tier academic institutions Minimum 7years of experience in Advanced Analytics with 4+ experience in Insurance domain Experience in working in dual shore engagement and must have experience in managing clients directly Ability to work in new business development such as assessing pain areas for our clients, generating solutions for clients Solution oriented mindset ability to work in diverse areas and create market leading solutions Managerial experience in leading analytics teams including career management of offshore staff, training, recruiting Superior analytical and problem solving skills Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 12-14Years Educational Qualification: Any Degree