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industry consultant insurance

<div>
 
 Introduction
 
 
 
 In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
 
 
 
 Your Role And Responsibilities
 
 
 
 <ul>
 <li>
 The ability to be a team player
 </li>
 <li>
 The ability and skill to train other people in procedural and technical topics
 </li>
 <li>
 Strong communication and collaboration skills
 
 
 </li>
 </ul>
 
 Required Technical And Professional Expertise
 
 
 
 Guide insurance organizations through modernization journeys by aligning business strategy with digital capabilities across underwriting, claims, and policy administration. Leverage industry acumen to drive automation, improve customer engagement, and implement data-driven risk assessment models that foster resilience and competitive advantage
 
 
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 None
 </li>
 </ul>
</div>

Industry Consultant-Insurance

<div>
 
 Introduction
 
 
 
 A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio
 
 
 
 Your Role And Responsibilities
 
 
 
 <ul>
 <li>
 As a consultant you will serve as a client-facing practitioner who sells, leads and implements expert services utilizing the breadth of IBM's offerings and technologies. A successful Consultant is regarded by clients as a trusted business advisor who collaborates to provide innovative solutions used to solve the most challenging business problems.
 </li>
 <li>
 As HR Transformation Consultant in EA Product Suite:* You own the business process design, configuration development and implementation of the solutions to meet your clients' needs
 </li>
 <li>
 You lead business process and configuration workstream and their day-to-day activities
 </li>
 <li>
 You analyze business requirements for configuration, plan and lead delivery of workshops and facilitate client events. You propose solutions, addressing client business issues and objectives.
 </li>
 <li>
 You apply strong business skills and methodologies to interpret data, business processes and deliver solutions to clients.
 </li>
 <li>
 You deliver the highest quality and value to our customers &amp; seek opportunities for additional business
 
 
 </li>
 </ul>
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Ability to absorb professional knowledge quickly and develop skills related to technical, functional, software and soft skills.
 </li>
 <li>
 You should demonstrate good interpersonal, and collaboration skills. In addition, good communication skills for effective interactions with project partner.
 </li>
 <li>
 Strong understanding of HR processes and strategies for large organisations
 </li>
 <li>
 You should be willing to skill-up in multiple technologies, work in any IBM location and travel as required
 </li>
 <li>
 Exposure to one or more of the functional areas in HR not limited to HCM, Talent &amp; Performance Management, Compensation &amp; Benefits, Learning, Recruiting
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 MBA graduates with specialization in HR and academic scores throughout &amp; Fluent interpersonal skill (written and spoken)
 </li>
 <li>
 Prior work experience in meaningful area of HR or Enterprise Applications using HR processes will add more value
 </li>
 <li>
 Proven interpersonal skills while contributing to team effort by accomplishing related results as needed and Up-to-date technical knowledge by attending educational workshops, reviewing publications
 </li>
 </ul>
</div>

Package Consultant-Workday HCM & Compensation

KPMG India

<div>
 
 
 KPMG India Pvt. Ltd.
 
 is the Indian member firm of
 
 KPMG International
 
 , one of the globally renowned &ldquo;Big Four&rdquo; professional services firms. Established in
 
 1993
 
 , KPMG India has grown into a major player in the consulting, audit, and advisory landscape, with its
 
 headquarters in Mumbai
 
 and offices across major Indian cities.
 
 
 
 
 
 Microsoft Dynamics AX Functional
 
 
 
 
 
 Job Description
 
 
 &middot; Experience in implementing AX 2009, 2012, Dynamics 365
 
 
 &middot; Functional consultant should be good in MS dynamics AX and AX FNO
 
 
 &middot; Should have good knowledge and hands on experience in modules like (Finance)
 
 
 &middot; Candidate should have involved in end to end implementation with support
 
 
 &middot; Experience in requirement gathering process interacting with client
 
 
 &middot; Experience in preparing functional specification with gap-fit analysis
 
 
 &middot; Provide clear and articulate documentations
 
 
 &middot; Good communication skills is a MUST
 
 
 &middot; Should not have any travelling or work hour constrains
 
</div>

Functional Consultant

Blue Yonder

<div>
 
 Overview &amp; Scope
 
 
 
 <ul>
 <li>
 Leading AI-driven Global Supply Chain Solutions Software Product Company and one of Glassdoor&rsquo;s
 </li>
 <li>
 &ldquo;Best Places to Work&rdquo;
 </li>
 <li>
 We are seeking a highly skilled and motivated Data Science Consultant to join our Supply Chain
 </li>
 <li>
 Management team. The ideal candidate will leverage data-driven insights to optimize supply chain
 </li>
 <li>
 processes, improve decision-making, and drive business results. You will work closely with crossfunctional
 </li>
 <li>
 teams, utilizing advanced data analytics, machine learning, and optimization techniques to
 </li>
 <li>
 enhance supply chain efficiency, forecast demand, and solve complex operational challenges.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Data Analysis &amp; Modeling: Analyze large, complex data sets related to demand forecasting, supply
 </li>
 <li>
 planning to uncover actionable insights.
 </li>
 <li>
 Machine Learning: Apply statistical and machine learning techniques to forecast demand which would
 </li>
 <li>
 include
 </li>
 <li>
 Data ingestion, data visualization and insights, verifying the integrity of data used for analysis
 </li>
 <li>
 Feature engineering, configuring forecasting models
 </li>
 <li>
 Fine tune forecasting model
 </li>
 <li>
 Present results in a clear manner
 </li>
 <li>
 Supply Chain Optimization: Implement optimization algorithms to improve supply chain efficiency, reduce
 </li>
 <li>
 costs, and enhance service levels.
 </li>
 <li>
 Consulting &amp; Advisory: Serve as a subject matter expert (SME) for supply chain analytics, advising
 </li>
 <li>
 stakeholders on best practices, tools, and strategies for effective supply chain management.
 </li>
 <li>
 Process Improvement: Identify inefficiencies within the supply chain and recommend data-driven
 </li>
 <li>
 strategies for continuous improvement.
 
 
 </li>
 </ul>
 
 What We Are Looking For
 
 
 
 <ul>
 <li>
 Educational Background: Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Industrial
 </li>
 <li>
 Engineering, Operations Research, Supply Chain Management, or a related field.
 </li>
 <li>
 Experience: 5-12 years of experience in data science or Supply Chain Operations Analytics, or worked on
 </li>
 <li>
 forecasting projects leveraging statistical/ML models; experience with data visualization tools
 </li>
 <li>
 Technical Skills: Proficiency in data science tools and programming languages such as Python, R, SQL, and
 </li>
 <li>
 experience with supply chain management platforms/processes. Good, applied statistics skills, such as
 </li>
 <li>
 distributions, statistical testing, regression, etc
 </li>
 <li>
 Machine Learning: Hands-on experience with machine learning techniques/algorithms (e.g., regression,
 </li>
 <li>
 classification, clustering) and optimization models.
 </li>
 <li>
 Industry Knowledge: Familiarity with supply chain processes such as demand forecasting, inventory
 </li>
 <li>
 management, procurement, logistics, and distribution.
 </li>
 <li>
 Analytical Thinking: Strong problem-solving skills with the ability to analyze complex data sets and
 </li>
 <li>
 translate insights into actionable recommendations.
 </li>
 <li>
 Personal competencies
 </li>
 <li>
 Ability to work independently and as part of a team in a consulting environment.
 </li>
 <li>
 Attention to detail, with the ability to manage large data sets and complex analysis.
 </li>
 <li>
 Communication: Excellent verbal and written communication skills to present findings clearly to non-technical stakeholders.
 
 
 </li>
 </ul>
 
 Our Values
 
 
 
 If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success &ndash; and the success of our customers. Does your heart beat like ours? Find out here: Core Values
 
 
 All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
</div>

Staff Data Scientist I - Python, R & ML

<div>
 
 Introduction
 
 
 
 In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
 
 
 A career in IBM Consulting embraces long-term relationships and close collaboration with clients across the globe.
 
 
 You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful changes for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including IBM Software and Red Hat.
 
 
 Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in groundbreaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
 
 
 Seeking new possibilities and always staying curious, we are a team dedicated to creating the world's leading AI-powered, cloud-native software solutions for our customers. Our renowned legacy creates endless global opportunities for our IBMers, so the door is always open for those who want to grow their career.
 
 
 
 Your Role And Responsibilities
 
 
 
 As a Strategy Consultant at IBM, you'll play a vital strategic role in helping clients transform their digital customer experience.
 
 
 
 Primary Responsibilities Include
 
 
 
 <ul>
 <li>
 MBA from Tier 1 institute with 4-7 years of experience in leading advisory consulting firms in areas like AI, Corporate/Business Strategy, IT Strategy, Platform Eco Strategy, Digital Reinvention, Process and Operations Transformation, etc.
 </li>
 <li>
 Flexibility to work with cross-functional teams and industries/domains as per engagement requirement
 </li>
 <li>
 Brings together business strategy, data architecture, and marketing technology
 
 
 </li>
 </ul>
 
 Preferred Education
 
 
 
 Master's Degree
 
 
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Partner with clients to define and deliver strategies across AI, Digital, IT, and Platform Ecosystem domains. Work seamlessly across industries, global engagements, and diverse business contexts, adapting to varied client needs.
 </li>
 <li>
 Conduct market and business analysis, competitive benchmarking, and business case development to support strategic decision-making. Collaborate with cross-functional business, data, and technology teams to design and implement scalable digital and transformation solutions.
 </li>
 <li>
 Translate business challenges into actionable strategies using data-driven insights and marketing technology platforms. Support operating model design, process transformation, and capability-building initiatives for enterprise clients.
 </li>
 <li>
 Drive thought leadership and contribute to development of strategy frameworks, tools, and methodologies to enhance consulting excellence.
 </li>
 <li>
 Present insights and strategic recommendations to senior stakeholders through clear storytelling and structured communication.
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 MBA from a Tier 1 institute, with 4&ndash;7 years of experience in leading advisory or consulting firms across areas such as AI, Corporate/Business Strategy, IT Strategy, Platform Ecosystem Strategy, Digital Reinvention, and Process &amp; Operations Transformation.
 </li>
 <li>
 Ability to bridge business strategy, data architecture, and marketing technology to deliver integrated and scalable enterprise solutions.
 </li>
 <li>
 Excellent analytical, problem-solving, and stakeholder management skills, with the ability to drive outcomes in a fast-paced consulting environment.
 </li>
 </ul>
</div>

Strategy Consultant-Enterprise Strategy

Straive

<div>
 
 
 About the Role
 
 
 
 Straive is looking for a talented and driven
 
 Consultant / Data Scientist / GenAI Engineer
 
 to join our
 
 Analytics &amp; GenAI delivery team
 
 . In this role, you will work under the guidance of the Senior Project Manager / Engagement Manager to design, develop, and deploy advanced AI/ML and Generative AI solutions for global enterprise clients. You will be part of a high-performing team, collaborating with both onshore and offshore members to build scalable, production-grade AI systems.
 
 
 
 
 
 This role is ideal for candidates from
 
 premier engineering institutes
 
 with
 
 2&ndash;3 years of relevant experience
 
 in Python development, LLM integration, and RAG workflows, along with a passion for solving complex problems in real-world business contexts.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop and maintain
 
 Python-based
 
 applications, AI/ML models, and data processing pipelines for GenAI projects.
 </li>
 <li>
 Implement
 
 Large Language Model (LLM)
 
 integrations, including
 
 Retrieval-Augmented Generation (RAG)
 
 pipelines and embedding-based search solutions.
 </li>
 <li>
 Build data ingestion and transformation workflows, working with structured and unstructured datasets.
 </li>
 <li>
 Optimize AI model performance through
 
 prompt engineering
 
 , fine-tuning, and evaluation techniques.
 </li>
 <li>
 Collaborate closely with senior team members to translate business requirements into technical solutions.
 </li>
 <li>
 Integrate AI solutions with
 
 vector databases
 
 (e.g., Cosmos DB, Pinecone, ChromaDB) and API-driven applications.
 </li>
 <li>
 (Optional) Contribute to
 
 cloud-native deployments
 
 and
 
 Azure architecture
 
 &ndash;based solutions, including containerization, CI/CD, and basic MLOps workflows.
 </li>
 <li>
 Document workflows, maintain code repositories, and follow Agile development practices.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 
 2&ndash;3 years
 
 of relevant experience in AI/ML development, preferably in enterprise projects.
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI/ML, or related field from a
 
 premier engineering institute
 
 .
 </li>
 <li>
 Proficiency in
 
 Python
 
 programming and familiarity with relevant libraries (e.g., LangChain, Hugging Face, Pandas, NumPy).
 </li>
 <li>
 Hands-on experience implementing
 
 RAG pipelines
 
 , embeddings, and vector search solutions.
 </li>
 <li>
 Understanding of
 
 LLM architectures
 
 and integration patterns.
 </li>
 <li>
 Working knowledge of
 
 SQL
 
 and data processing best practices.
 </li>
 <li>
 Basic knowledge of
 
 cloud DevOps concepts
 
 , preferably with
 
 Azure
 
 (AWS/GCP experience is also acceptable).
 </li>
 </ul>
 
 
 
 
 Preferred Skills
 
 
 <ul>
 <li>
 Exposure to
 
 agentic AI frameworks
 
 such as LangGraph, Semantic Kernel, or similar.
 </li>
 <li>
 Familiarity with ML model lifecycle management and deployment workflows.
 </li>
 <li>
 Prior experience working with cross-border teams and Agile environments.
 </li>
 </ul>
 
 
</div>

Data Scientist

<div>
 
 Introduction
 
 
 
 IBM India since 1992 provides solutions and services spanning all major industries including financial services, healthcare, government, automotive, telecommunications and education, among others. As a trusted partner with wide-ranging service capabilities, IBM helps clients transform and succeed in challenging circumstances. The diversity and breadth of the entire IBM portfolio of research, consulting, solutions, services, systems and software, uniquely distinguishes IBM India from other companies in the industry.
 
 
 Business Unit Introduction
 
 
 IBM Research - India ([1] https://research.ibm.com/labs/india) invites applications for its Internship Program in Computer Science, Mathematical Sciences including AI, Hybrid Cloud and Quantum Computing at its locations in Gurgaon and Bangalore.
 
 
 References
 
 
 Visible links
 
 
 <ul>
 <li>
 https://research.ibm.com/labs/india
 
 
 </li>
 </ul>
 
 Your Role And Responsibilities
 
 
 
 Summer Internship Program is one of the major activities under the University Relation Program. IBM Research India offers Summer Internship to the bright students of leading technical Universities in India. IBM Research India provides industry experience and world class technologies to these students to show their talent. During internship students work on current projects happening in the lab, they solve problems with the help of their mentors. Idea is to give industry experience to the students and look for future employees.
 
 
 
 Preferred Education
 
 
 
 Master's Degree
 
 
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Excellent coding skills in Python (including Pandas, NumPy)
 </li>
 <li>
 Strong grasp of Data Structures, Algorithms, Problem Solving
 </li>
 <li>
 Solid foundation in Linear Algebra, Probability, and Statistics
 </li>
 <li>
 Hands-on experience with VS Code, Jupyter Notebooks, Git
 </li>
 <li>
 AI/ML Fundamentals: supervised &amp; unsupervised learning, classification, regression, neural networks, clustering
 </li>
 <li>
 Learning fundamentals and Data Manipulation/Analysis for large datasets
 </li>
 <li>
 Proficiency in AI libraries/frameworks: TensorFlow, PyTorch
 </li>
 <li>
 Experience in Deep Learning, Foundation Models, Large Language Models
 </li>
 <li>
 Familiar with Generative AI frameworks such as langchain and crew.ai
 </li>
 <li>
 Expertise in unstructured data processing
 </li>
 <li>
 Experience working with platforms such as Watsonx.ai or similar
 </li>
 <li>
 Familiarity with risks associated with AI deployments, including agents going rogue
 
 
 </li>
 </ul>
 We are looking for a talented and highly motivated engineer/scientist to contribute to our research and development efforts across multiple frontiers of AI. The candidate will work on creating efficient and scalable large language and foundation models, with a specific focus on enterprise applications. Areas of research include AI for IT automation, intersection of data and AI, agentic middleware and models, embedding and AI-based retrieval, time series foundation models, geospatial and multi-modal foundation models, GenAI security, AI for math and reasoning, and AI for software engineering.
 
 
 Eligibility Criteria
 
 
 <ul>
 <li>
 B.E. / B.Tech
 </li>
 <li>
 M.E. / M.Tech (including Dual Degree programs)
 </li>
 <li>
 Ph.D.
 </li>
 <li>
 Minimum 70% or 7.0 CGPA and above in the pursuing degree
 
 
 </li>
 </ul>
 Time Duration
 
 
 The internship will be conducted between May 2026 to August 2026, for a maximum duration of 3 months.
 
 
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 AI libraries/frameworks such as TensorFlow/PyTorch, Jupyter notebooks, Deep learning fundamentals, Data Manipulation and Analysis for large data, tools (pandas, NumPy), linear algebra, probability, statistics, Git, Containerization (Docker/Kubernetes/ Openshift)
 </li>
 </ul>
</div>

Research Intern - AI

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