1576 Predictive Modeling Jobs - Page 22

About The Role 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 maintaining a focus on quality and efficiency in your work. 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.- Familiarity with Agile methodologies and project management tools.- Experience in integrating SAP applications with other enterprise systems. Additional Information:- The candidate should have minimum 5 years of experience in SAP ABAP Development for HANA.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Key Responsibilities: Design, develop, and optimize WiFi solutions with a focus on WiFi 6 features and enhancements. Conduct in-depth tuning and optimization of RF parameters to ensure peak performance and reliability. Work on advanced networking protocols and configurations to support seamless connectivity. Collaborate with cross-functional teams to integrate WiFi features into larger systems. Analyze and resolve complex WiFi performance issues, including RF interference, coverage gaps, and capacity challenges. Contribute to the development of test frameworks and tools for WiFi validation. Required Skills and Experience: Proven expertise in WiFi technologies, including detailed knowledge of WiFi 6 (802.11ax) feature sets such as OFDMA, MU-MIMO, TWT, and BSS Coloring. Strong understanding of RF principles, parameter tuning, and optimization techniques. Solid experience in Linux-based development, including scripting, driver-level programming, and debugging. Strong background in networking protocols (e.g., TCP/IP, DHCP, DNS, routing, and switching). Familiarity with WiFi standards, certifications, and regulatory compliance. Familiarity with mesh networking and multi-AP coordination. Knowledge of network security protocols such as WPA3. Experience with performance tuning tools (e.g., iperf, Wireshark) and RF analysis tools (e.g., spectrum analyzers).

About this role: Wells Fargo is seeking a (Commercial Banking Portfolio Manager). We believe in the power of working together because great ideas can come from anyone. Through collaboration, any employee can have an impact and make a difference for the entire company. Explore opportunities with us for a career in a supportive environment where you can learn and grow. In this role, you will: Research complex credit investigations and diverse credit information for loans Identify opportunity for process improvements within scope of responsibilities or functional area Review and identify basic operational assignments that require research, evaluation, and selection of alternatives while exercising independent judgement to guide medium risk deliverables Present recommendations for resolving complex situations and exercise independent judgement while developing expertise in the function, policies, procedures, and compliance requirements Collaborate and consult with functional colleagues, internal partners, and stakeholders including internal as well as external customers Required Qualifications: 2+ years of Commercial Banking Portfolio Management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: MBA (FinanceBanking), Cost and Management Accountancy, Chartered Accountancy or post- graduation in Economics. Atleast 2+years of overall commercial credit experience across diversified asset class (includes corporate entities and real estate asset class) Good knowledge on financial statements for various industries with ability to ascertain trends, ratios and call out key risks when compared to benchmarks (historical and industry performance). Well versed with Discounted Cash Flow, Comparable Company, and Precedent Transaction analysis. Working experience with Moodys Risk Analytics would be a plus. Experience in assessing credit worthiness of borrower based on various qualitative and quantitative factors Excellent communication skills, with special focus on business writing skills for credit reports. Ability to read, comprehend and synthesize data regarding borrower performance market related information from multiple sources into one prescribed template. Advanced excel skills would be a plus

You are as unique as your background, experience and point of view. Here, you'll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world. Role Summary: Data and Analytics Services, the Lead Analytics Consultant is responsible for developing innovative visual analytics solutions and enabling faster and better decision making for Sun Life. Our growing mandate to deliver Data Analytics, Artificial Intelligence and Data Solutions requires an experienced data visualization practitioner to accelerate the development of our strategic analytics projects in support of our business stakeholders. Main Accountabilities: Work directly with data engineers, business data analysts and business Operations teams throughout the entire engagement life cycle including technical analysis, design, development, implementations and consulting efforts. Provide plans and estimates for reporting initiatives. Maintain standards for analysis and reporting at all levels including best practice data visualization techniques. Facilitate group meetings of various sizes for solution design, decision making, problem-solving and solution implementation. Turn complex data into easy to understand visual insights that are aligned to business objectives. Develop a user experience that is simple, yet flexible. Incorporate data governance and access controls in QuickSight/ Tableau. Enable visual storytelling through QuickSight/ Tableau and visual analytics tools. Education and Experience: Minimum graduate degree in Mathematics, Computer Science, Engineering or equivalent. Expertise in visual analytics and design principles. Total experience: 8+ years. 5+ years of experience in Tableau/Power BI/Qlik View or other visualization development experience and designing dashboards / decision enablement tools. SQL Programming, PL/SQL. Developing rich portfolio of design uses cases demonstrating excellent user experience. Working in an agile development environment including rapid prototyping during sprints. 2+ years of working experience in QuickSight/ Tableau. Competencies: Experience with PostgreSQL. Rich experience in end-to-end testing of dashboards with respect to data and features. Experience in creating test cases covering all aspects. Visual design expertise with a solid understanding of the best practices around dashboard and visual perception. End-to-End development experience and ability to create complex calculations including parameters, expressions, actions & filters and implement advanced dashboard practices in QuickSight/ Tableau. Leveraging QuickSight/ Tableau for data organization and scheduling. Ability to understand data modeling based on user specs. Designing custom landing pages in QuickSight/ Tableau for enhanced user experience. Ability to work independently, manage engagements or parts of large engagements directly with business partners. Solid understanding of how to consolidate and transform data to meaningful and actionable information. Ability to draw out meaningful business insights by synthesizing information from multiple sources. Strong oral and written communication skills, including presentation and storytelling with data. Demonstrated ability to transform User Stories into smart and elegant analytical apps for decision making. Strong problem-solving and troubleshooting skills with the ability to exercise mature judgment. A willingness to listen, challenge, communicate, and respect team member's ideas and opinions openly. Comfortable with ambiguity and effective in delivering iterative solutions. Additional Assets: Any Visualization Tool certification. Experience with AWS data sources and other AWS services. Experience with Agile or design-driven development of analytics applications. Exposure of Data Analytics projects including predictive modeling, data mining & statistical analysis. Job Category: Advanced Analytics Posting End Date: 16/10/2024,

As a Senior Model Developer at Barclays, you will play a crucial role in leading the evolution of the digital landscape, driving innovation and excellence within the organization. Your primary responsibility will be to utilize cutting-edge technology to revolutionize digital offerings, ensuring unparalleled customer experiences. Quantitative Analytics (QA) is a global organization comprising highly specialized quantitative modellers and developers, led by Olaf Springer, a member of Risk Exco. In this role, you will be involved in developing, testing, implementing, and supporting quantitative models for various aspects of risk management and valuation across Barclays. Key responsibilities of the Senior Model Developer include: - Developing predictive models, statistical analyses, and optimization procedures - Participating in project design and delivery with other functional teams - Producing robust documentation to ensure replicability of results - Collaborating with colleagues to ensure project completion within agreed time frames - Contributing to the broader Quantitative Analytics department through peer reviews and project collaboration In terms of stakeholder management and leadership, you will be required to lead projects and system migrations, manage business requirements, and ensure timely delivery of projects. Additionally, you will be involved in decision-making processes, problem-solving, and strategic planning related to model development and implementation. The successful candidate for this role should possess a strong background in risk and controls, change management, business acumen, and technical skills relevant to the position. Location of the role is in Noida. The purpose of the role is to design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making. Key responsibilities include designing analytics solutions, collaborating with technology teams, developing high-performing analytics solutions, and providing ongoing support for the effectiveness of these solutions. As an Assistant Vice President, you are expected to advise and influence decision-making, lead a team, and demonstrate a clear set of leadership behaviors. You will collaborate closely with other functions/business divisions, set objectives, and coach employees towards achieving those objectives. Overall, the role of a Senior Model Developer at Barclays requires a combination of technical expertise, leadership skills, and the ability to collaborate effectively with various stakeholders to drive innovation and excellence within the organization.,

What We're Looking For Bachelors degree or final year students can also apply Good analytical and problem solving skills Good knowledge of Python and analytical tools/libraries Responsibilities Apply statistical methods and techniques to analyze data and derive meaningful insights. Conduct hypothesis testing, correlation analysis, and regression analysis using Pythons statistical libraries Create reports, dashboards, and data visualizations using tools like Tableau, Power BI, or Dash. Automate report generation and scheduling using Python scripts. Ensure the accuracy, completeness, and reliability of data through data validation and quality assurance processes. Identify and address data anomalies, errors, and inconsistencies. Collaborate with cross-functional teams including data engineers, business analysts, and stakeholders to understand business requirements and deliver actionable insights. Communicate analysis findings and recommendations effectively to technical and non-technical audiences.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience in product management. Preferred qualifications: Experience with AI/ML powered products or features. Experience working with technical teams (i.e., engineers, data scientists) along with understanding of software development methodologies, such as Agile/Scrum. Knowledge of concepts of Artificial Intelligence and Machine Learning (e.g., NLP, predictive modeling). Ability to work with data and analytics tools to inform product decisions. Ability to work independently and as part of a team and manage multiple tasks and prioritize in a fluid environment. About the job At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day. In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development. One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users. Responsibilities Drive the entire product lifecycle, from ideation to launch and iteration. Conduct user and market research to define the AI product outlook and strategy, translating this into detailed requirements and user stories for our engineering team. Work with AI/ML engineers and data scientists, prioritizing features and guiding daily development within an agile framework. Foster collaboration between technical teams and HR stakeholders to ensure alignment and communication. Advocate a data-driven, user-centric approach, leveraging analytics and feedback to build AI solutions that address the needs of the HR professionals and employees.

Minimum qualifications: Bachelor's degree or equivalent practical experience 5 years of experience in product management. Preferred qualifications: Experience with AI/ML powered products or features. Experience working with technical teams (i.e., engineers, data scientists) along with understanding of software development methodologies, such as Agile/Scrum. Knowledge of concepts of Artificial Intelligence and Machine Learning (e.g., NLP, predictive modeling). Ability to work with data and analytics tools to inform product decisions. Ability to work independently and as part of a team and ability to manage multiple tasks and prioritize in a fluid environment. About the job At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day. In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development. One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users. Responsibilities Drive the entire product lifecycle, from ideation to launch and iteration. Conduct user and market research to define the AI product outlook and strategy, translating this into detailed requirements and user stories for our engineering team. Work with AI/ML engineers and data scientists, prioritizing features and guiding daily development within an agile framework. Foster collaboration between technical teams and HR stakeholders to ensure alignment and communication. Advocate a data-driven, user-centric approach, leveraging analytics and feedback to build AI solutions that address the needs of the HR professionals and employees.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience in product management. Preferred qualifications: Experience with AI/ML powered products or features. Experience working with technical teams (i.e., engineers, data scientists) along with understanding of software development methodologies, such as Agile/Scrum. Knowledge of concepts of Artificial Intelligence and Machine Learning (e.g., NLP, predictive modeling). Ability to work with data and analytics tools to inform product decisions. Ability to work independently and as part of a team and manage multiple tasks and prioritize in a fluid environment. About the job At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day. In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development. One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users. Responsibilities Drive the entire product lifecycle, from ideation to launch and iteration. Conduct user and market research to define the AI product outlook and strategy, translating this into detailed requirements and user stories for our engineering team. Work with AI/ML engineers and data scientists, prioritizing features and guiding daily development within an agile framework. Foster collaboration between technical teams and HR stakeholders to ensure alignment and communication. Advocate a data-driven, user-centric approach, leveraging analytics and feedback to build AI solutions that address the needs of the HR professionals and employees.

Job Title: AI/ML Engineer Location: Bangalore (Hybrid) Experience: 3+ years About the Role: We are looking for an experienced AI/ML Engineer with a strong background in Generative AI (GenAI), Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) implementation . You will play a key role in designing, developing, and deploying cutting-edge AI solutions that leverage state-of-the-art machine learning techniques to solve complex problems. Key Responsibilities: Design, develop, and optimize LLM-based applications with a focus on RAG pipelines, fine-tuning, and model deployment . Implement GenAI solutions for text generation, summarization, code generation, and other NLP tasks. Develop and optimize ML models , leveraging classical and deep learning techniques. Build and integrate retrieval systems using vector databases like FAISS, ChromaDB, Pinecone, or Weaviate . Optimize and fine-tune LLMs (e.g., OpenAI GPT, LLaMA, Mistral, Falcon ) for domain-specific use cases. Develop data pipelines for training, validation, and inference. Work on scalable AI solutions , ensuring performance and cost efficiency in deployment. Collaborate with cross-functional teams to integrate AI models into production applications. Required Skills & Qualifications: 3+ years of experience in AI/ML development. Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Hugging Face Transformers . Hands-on experience with LLMs, GenAI, and RAG architectures . Experience working with vector databases (e.g., FAISS, Pinecone, ChromaDB). Knowledge of ML algorithms , deep learning architectures, and NLP techniques. Familiarity with cloud platforms ( AWS, GCP, or Azure ) and AI/ML model deployment. Experience with LangChain or LlamaIndex for LLM applications is a plus. Strong problem-solving skills and the ability to work in a fast-paced environment. Nice-to-Have Skills: Experience with multi-modal AI models (text, image, video). Knowledge of MLOps tools (Kubeflow, MLflow, or Vertex AI). Familiarity with prompt engineering and fine-tuning strategies . Why Join Us? Work on cutting-edge AI projects in an innovative and collaborative environment. Opportunities for career growth and learning in the fast-evolving AI space. Competitive compensation, flexible work options, and great team culture. How to Apply: If youre passionate about AI and eager to build next-gen AI applications, wed love to hear from you!

About the Opportunity Job Type: PermanentApplication Deadline: 31 July 2025 Title Senior Analyst - Data Science Department Enterprise Data & Analytics Location Gurgaon Reports To Gaurav Shekhar Level Data Scientist 4 About your team Join the Enterprise Data & Analytics team collaborating across Fidelitys global functions to empower the business with data-driven insights that unlock business opportunities, enhance client experiences, and drive strategic decision-making. About your role As a key contributor within the Enterprise Data & Analytics team, you will lead the development of machine learning and data science solutions for Fidelity Canada. This role is designed to turn advanced analytics into real-world impactdriving growth, enhancing client experiences, and informing high-stakes decisions. Youll design, build, and deploy ML models on cloud and on-prem platforms, leveraging tools like AWS SageMaker, Snowflake, Adobe, Salesforce etc. Collaborating closely with business stakeholders, data engineers, and technology teams, youll translate complex challenges into scalable AI solutions. Youll also champion the adoption of cloud-based analytics, contribute to MLOps best practices, and support the team through mentorship and knowledge sharing. This is a high-impact role for a hands-on problem solver who thrives on ownership, innovation, and seeing their work directly influence strategic outcomes. About you You have 47 years of experience working in data science domain, with a strong track record of delivering advanced machine learning solutions for business. Youre skilled in developing models for classification, forecasting, recommender systems and hands-on with frameworks like Scikit-learn, TensorFlow, or PyTorch. You bring deep expertise in developing and deploying models on AWS SageMaker, strong business problem-solving abilities, and are familiar with emerging GenAI trends. A background in engineering, mathematics, or economics from a Tier 1 institution will be preferred. For starters, well offer you a comprehensive benefits package. Well value your wellbeing and support your development. And well be as flexible as we can about where and when you work finding a balance that works for all of us. Its all part of our commitment to making you feel motivated by the work you do and happy to be part of our team.

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your role Solution Design:Collaborate with stakeholders to design and implement effective Generative AI solutions tailored to specific business requirements, ensuring alignment with industry best practices. Framework Development:Build and enhance frameworks for deploying Generative AI applications, ensuring they are robust, scalable, and optimized for hyper-scaler environments. LLM Integration:Work extensively with Large Language Models, optimizing their performance for various applications and use cases, while leveraging the capabilities of hyper-scaler platforms. Deep learning and ML expertiseExcellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP and computer vision. Good applied statistics skills, such as distributions, statistical inference & testing, etc. Hands-On Development:Engage in hands-on coding and development of AI models and algorithms, utilizing the latest tools and technologies in the Generative AI landscape. Proof of Concept (PoC) Development:Lead the creation of PoCs that demonstrate the capabilities of Generative AI solutions. Your Profile Education:Bachelors degree in Computer Science, Software Engineering, or a related field; Masters degree is a plus. Experience:Hands-on experience in AI/ML development, with a strong emphasis on Generative AI technologies in hyper-scaler environments Technical Skills: Proficiency in programming languages such as Python, TensorFlow, or PyTorch; experience with LLM frameworks and model deployment on platforms like AWS, Azure, or Google Cloud. What you will love about working here We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

Flipkart is looking for Senior Data Scientist to join our dynamic team and embark on a rewarding career journeyData Analysis: Analyze large datasets to identify trends, patterns, and correlations that can provide valuable insights for the organization's strategic decision-making process.Machine Learning: Develop and deploy machine learning models for various business applications, such as predictive modeling, classification, recommendation systems, and anomaly detection.Model Validation: Assess and validate the performance of machine learning models through rigorous testing, evaluation, and tuning to ensure high accuracy and reliability.Data Visualization: Create clear and compelling data visualizations to present complex analyses and results to both technical and non-technical stakeholders.Predictive Analytics: Utilize predictive modeling techniques to forecast business outcomes, customer behavior, and market trends to support business planning and strategy.Data-driven Decision Making: Collaborate with cross-functional teams to translate analytical findings into actionable insights and drive data-driven decision-making across the organization.Research and Innovation: Stay up-to-date with the latest advancements in data science, machine learning, and related fields, and explore new tools and techniques to improve analytical capabilities.Data Governance: Advocate for data integrity and quality, ensuring that data sources are reliable and appropriately managed, and comply with data privacy and security regulations.

"Overview Experience 10 + Years Shift 2-11 pm Location Hyderabad /Bangalore /Chennai About Omnicom Global Solutions Omnicom Global Solutions is an integral part of Omnicom Group, a leading global marketing and corporate communications company Omnicom s branded networks and numerous specialty firms provide advertising, strategic media planning and buying, digital and interactive marketing, direct and promotional marketing, public relations, and other specialty communications services to over 5,000 clients in more than 70 countries Omnicom Global Solutions India plays a key role for our group companies and global agencies by providing stellar products, solutions, and services in the areas of Creative Services, Technology, Marketing Science (Data & Analytics), Advanced Analytics, Market Research, Business Support Services, Media Services, and Project Management About Role We are seeking an experienced Data Analytics Manager with 10+ years of proven management and leadership experience The ideal candidate will have strong Data Analytics skills and the ability to manage a growing team This role involves overseeing projects through all stages of the project lifecycle, including initiation, scoping, planning, execution, and execution This role will work closely with the project management team onshore to ensure that both onshore and offshore teams are aligned on weekly deliverables Responsibilities Leadership & Team Management Lead projects, manage people, and deliver results to business leads Focus on mastering team management and progressing into firm leadership Provide project oversight and strategic direction Collaborate with all employee levels to deliver meaningful work Manage a team of data analysts and assisting with unlocking their potential and shaping their growth Data Analytics & Strategy Translate business problems into analytical frameworks and models Develop and maintain data models, reporting systems, dashboards, and automation tools to support business decisions Implement quality control measures to ensure data integrity, consistency, and reliability Guide the team in performing statistical analysis, predictive modeling, and business intelligence reporting Design and implement technical processes for data intake, validation, mining, and engineering Working knowledge of data mining principles predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources Oversee the creation and delivery of reports, insights, and key performance metrics for business functions You will be working closely with Global Finance Leaders / members of agency Finance Team and will have responsibilities to achieve group goals with respect to Reporting, Planning, Forecasting, Working Capital, and accounting support Qualifications Bachelor s degre

Internal Firm Services Industry/Sector Management Level Specialist & Summary At PwC, our people in workforce consulting focus on providing consulting services related to human resources, talent management, and organisational development. They analyse client needs, develop people and organisation strategies. These individuals offer guidance and support to help clients optimise their workforce, enhance employee engagement, and drive organisational effectiveness. Those in people insights at PwC will focus on leveraging data and insights to help clients drive strategic decisions and improve employee performance and engagement. Working in this area, you will analyse client workforce data to identify trends, develop predictive models, and provide actionable recommendations for workforce decisions. Why PWC Learn more about us . & Summary PwC India is looking for a Human Capital Analytics Manager HR reporting & dashboarding to join our Human Capital team. The HR Analytics Manager will lead the HR analytics function, providing strategic insights and datadriven solutions to HR functions. This role involves managing HR data, delivering HR reports & dashboards, developing analytical models, and delivering actionable insights to support decisionmaking processes within PwCs HR team. The manager will also oversee leadership reporting and manage a team of HR analysts. The role will work with HR leaders, IT team and other stakeholders to manage and assign tasks related to the analytics projects, monitor progress, communicate updates, and ensure quality to PwC standards. Analytics and Reporting Delivering HR reports and dashboards, Develop and implement HR analytics predictive modeling and trend analysis, to support HR initiatives. Power BI Expertise Utilize Power BI to create interactive dashboards and reports that provide realtime insights into HR metrics and trends. Leadership Reporting Prepare and present detailed reports to senior leadership, highlighting key findings and strategic recommendations. Dashboard Development Create and maintain HR dashboards to visualize key metrics and trends. Collaboration Work closely with HR business partners and other stakeholders to understand their data needs and deliver reports Compliance Ensure all HR analytics activities comply with relevant data privacy and security regulations. Continuous Improvement Stay updated with the latest HR analytics trends and technologies to continuously improve the analytics function Mandatory skill sets Power Bi, tableau HC Analytics, Understands end to end HR life cycle (Hire to Retire) Preferred skill sets Human Resource Years of experience required 3+ years Education qualification BBA, MBA, B.Com, M.Com, PGDM Education Degrees/Field of Study required Bachelor of Commerce, Master of Business Administration, Bachelor Degree Degrees/Field of Study preferred Required Skills Data Visualization Tools Accepting Feedback, Accepting Feedback, Active Listening, Alteryx (Automation Platform), Analytics Consulting, Analytics Software, Analytics Strategy, Artificial Intelligence, Automation, Business Case Development, Business Data Analytics, Communication, Complex Data Analysis, Data Analysis Software, Data Analytics, Database Development, Data Collection, DataDriven Decision Making (DIDM), DataDriven Insights, Data Presentation, Data Profiling, Data Science, Data Visualization, Economics, Emerging Technologies {+ 23 more} Travel Requirements Government Clearance Required?

Internal Firm Services Industry/Sector Management Level Associate & Summary At PwC, our people in workforce consulting focus on providing consulting services related to human resources, talent management, and organisational development. They analyse client needs, develop people and organisation strategies. These individuals offer guidance and support to help clients optimise their workforce, enhance employee engagement, and drive organisational effectiveness. Those in people insights at PwC will focus on leveraging data and insights to help clients drive strategic decisions and improve employee performance and engagement. Working in this area, you will analyse client workforce data to identify trends, develop predictive models, and provide actionable recommendations for workforce decisions. At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . & Summary PwC India is looking for a Human Capital Analytics Manager HR reporting & dashboarding to join our Human Capital team. The HR Analytics Manager will lead the HR analytics function, providing strategic insights and datadriven solutions to HR functions. This role involves managing HR data, delivering HR reports & dashboards, developing analytical models, and delivering actionable insights to support decisionmaking processes within PwCs HR team. The manager will also oversee leadership reporting and manage a team of HR analysts. The role will work with HR leaders, IT team and other stakeholders to manage and assign tasks related to the analytics projects, monitor progress, communicate updates, and ensure quality to PwC standards. Analytics and Reporting Delivering HR reports and dashboards, Develop and implement HR analytics predictive modeling and trend analysis, to support HR initiatives. Power BI Expertise Utilize Power BI to create interactive dashboards and reports that provide realtime insights into HR metrics and trends. Leadership Reporting Prepare and present detailed reports to senior leadership, highlighting key findings and strategic recommendations. Dashboard Development Create and maintain HR dashboards to visualize key metrics and trends. Collaboration Work closely with HR business partners and other stakeholders to understand their data needs and deliver reports Compliance Ensure all HR analytics activities comply with relevant data privacy and security regulations. Continuous Improvement Stay updated with the latest HR analytics trends and technologies to continuously improve the analytics function Mandatory skill sets Power Bi, tableau HC Analytics, Understands end to end HR life cycle (Hire to Retire) Preferred skill sets Human Resource Years of experience required 5+ years Education qualification BBA, MBA, B.Com, M.Com, PGDM Education Degrees/Field of Study required Postgraduate (Diploma), Bachelor in Business Administration, Master of Business Administration, Bachelor of Commerce Degrees/Field of Study preferred Required Skills HR Analytics Accepting Feedback, Accepting Feedback, Active Listening, Alteryx (Automation Platform), Analytics Consulting, Analytics Software, Analytics Strategy, Artificial Intelligence, Automation, Business Case Development, Business Data Analytics, Communication, Complex Data Analysis, Data Analysis Software, Data Analytics, Database Development, Data Collection, DataDriven Decision Making (DIDM), DataDriven Insights, Data Presentation, Data Profiling, Data Science, Data Visualization, Economics, Emerging Technologies {+ 23 more} No

Senior Research Fellow - Data Engineer ICRISAT seeks applications from motivated and dynamic Indian nationals for the position of a Senior Research Fellow - Data Engineer under the Monsoon Mission-III project supported by the Ministry of Earth Sciences (MoES), Government of India. The role is focused on designing and managing robust data pipelines, integrating and processing multi-source datasets (climate, weather, agronomic), and supporting the backend data infrastructure required for generating AI-powered agro-advisories. The position also contributes to enabling AI workflows such as agent-based advisory generation, fine-tuning of ML/LLM models, and vector DB integration to support personalized recommendations and dashboards. This role is critical to advancing the organization s mission of improving agricultural productivity and sustainability in semi-arid regions across Asia and sub-Saharan Africa through advanced remote sensing applications in agriculture. ICRISAT is a non-profit, non-political organization that conducts agricultural research for development in Asia and sub-Saharan Africa with a wide array of partners throughout the world. Covering 6.5 million square kilometers of land in 55 countries, the semi- arid or dryland tropics has over 2 billion people and 644 million of these are the poorest of the poor. ICRISAT and its partners help empower these disadvantaged populations to overcome poverty, hunger and a degraded environment through better agricultural production systems. ICRISAT is headquartered at Patancheru near Hyderabad, India, with two regional hubs and eight country offices in sub-Saharan Africa. ICRISAT envisions a prosperous, food-secure and resilient dryland tropics. Its mission is to reduce poverty, hunger, malnutrition and environmental degradation in the dryland tropics. ICRISAT conducts research on its mandate crops of chickpea, pigeonpea, groundnut, sorghum, pearl millet and finger millet in the arid and semi-arid tropics. The Institute focuses its work on the drylands and in protecting the environment. Tropical dryland areas are usually seen as resource-poor and perennially beset by shocks such as drought, thereby trapping dryland communities in poverty and hunger and making them dependent on external aid. Please visit - www.icrisat.org Responsibilities: Design, develop, and maintain data pipelines and architectures to support real-time historical data integration from different sources and datasets Clean, transform, and harmonize multi-source data to enable seamless analytical workflows and input-ready formats for models. Set up and manage relational and NoSQL databases to ensure scalable and query efficient storage for climate, soil, crop, and farmer data. Support and automate statistical analysis and ML workflows, including bias correction of gridded datasets, Forecast skill score analysis (e.g., RMSE, correlation, CRPSS), Uncertainty quantification and scenario-based projections, Historical pattern analysis and seasonal outlook assessments Collaborate with domain experts to operationalize forecast-informed decision rules and integrate them into automated pipelines. Contribute to machine learning and AI workflows, including model training, inference, embedding generation, and RAG-based pipelines for advisory automation. Enable agentic LLM-based workflows for dynamic, context-specific agro-advisories using AI platforms. Create interactive dashboards and analytical tools using Power BI and Python/R for internal teams and external stakeholders. Ensure documentation, version control, and reproducibility of all data workflows and modeling pipelines Essential Qualifications: Master s degree in statistics, mathematics, data science, Agricultural Engineering, or related quantitative disciplines. A minimum of 1 year of experience in statistical modeling, or applied machine learning, preferably in agriculture, climate science, or environmental domains. Strong programming skills in Python and R, with hands-on experience in statistical computing, machine learning workflows, and automation of data analysis. Proven expertise in handling large datasets and working with SQL/NoSQL databases, including database design, data cleaning, and transformation. Apache Druid is an advantage. Familiarity with forecast data analysis, including bias correction, skill score computation (e.g., MAE, RMSE, correlation), and evaluation of seasonal/short-term climate models. Proficiency in Power BI or other visualization tools for interactive reporting and dashboards. Working knowledge of machine learning libraries (e.g., scikit-learn, XGBoost, TensorFlow) for predictive modeling, clustering, and classification tasks. Strong written and verbal communication skills, with the ability to work in interdisciplinary teams. Desirable Qualifications: Experience with vector databases (e.g., FAISS, ChromaDB, Pinecone) for embedding search and integration into AI workflows. Familiarity with Retrieval-Augmented Generation (RAG) pipelines, LLM fine-tuning, and agentic architectures for building AI systems. Hands-on experience with climate and weather datasets (e.g., IMD, CHIRPS, ERA5) Exposure to bias correction methods, forecast verification metrics, and scenario-based projection models in the context of climate Understanding of time-series analysis, spatio-temporal data handling, and uncertainty quantification. Knowledge of cloud data services (e.g., AWS S3, Google BigQuery), APIs for automated data ingestion, and distributed processing tools. Familiarity with Jupyter Notebooks, RMarkdown, and version-controlled collaborative workflows using Git. Experience working in interdisciplinary teams involving agriculture, meteorology, and data science General: This is a contractual role for a period of 36 months (3 years). How to apply: The position will remain open until a suitable candidate is identified. Shortlisting will start from 30 July 2025. All Applicants should apply with their latest Resume, and the names and contact information of three references that are knowledgeable about their professional qualifications and work experience. All applications will be acknowledged; however, only short-listed candidates will be contacted. ICRISAT is an equal opportunity employer and is committed to increasing diversity and maintaining a progressive and inclusive workplace. We welcome applications from all qualified candidates regardless of their ethnicity, race, gender, religious beliefs, sexual orientation, age, marital status or whether they have a disability.

What to expect from this role: We plan to expand our risk strategy team, and we are looking for experienced risk professionals who will work on building risk strategy for our lending business. They will work in a dynamic environment, and with cross-functional teams to help manage risk while continuously supporting the business to grow. They will be expected to work on: Build Risk strategies to manage Fraud and Credit Risk for Lending business Build best in class risk models Be able to clearly communicate results and recommendations to various stakeholders Manage the overall portfolio risk and predict ECL for the portfolio Evaluate alternate data sources to solidify the risk management Work with cross-functional teams to build the anomaly detection capabilities Collaborate with Product team to build the right product to manage risk Evaluate the effectiveness of the solutions and improve upon them in a continuous manner We expect them to have a mix of a strong technical background and to have a keen eye for business implications of their work The ideal candidate for this role should : BTech/ BE from Tier-I & II colleges 1-2 years of experience in Risk Analytics preferably with FinTechs Experience in SQL, Python, MS Excel Preferably experience with Statistical modeling such as Logistic Regression, Decision Trees, Gradient Boosting models etc. Be agile and highly collaborative, communicate impressively Strong analytical acumen and problem solving Be skilled in building and managing business alliances Be highly data-driven and adept at balancing needs with business goals Thrive in a competitive and a result-oriented work environment PhonePe Full Time Employee Benefits (Not applicable for Intern or Contract Roles) Insurance Benefits - Medical Insurance, Critical Illness Insurance, Accidental Insurance, Life Insurance Wellness Program - Employee Assistance Program, Onsite Medical Center, Emergency Support System Parental Support - Maternity Benefit, Paternity Benefit Program, Adoption Assistance Program, Day-care Support Program Mobility Benefits - Relocation benefits, Transfer Support Policy, Travel Policy Retirement Benefits - Employee PF Contribution, Flexible PF Contribution, Gratuity, NPS, Leave Encashment Other Benefits - Higher Education Assistance, Car Lease, Salary Advance Policy Working at PhonePe is a rewarding experience! Great people, a work environment that thrives on creativity, the opportunity to take on roles beyond a defined job description are just some of the reasons you should work with us. Read more about PhonePe on our blog. Life at PhonePe PhonePe in the news

: Job Title AI Engineer LocationPune , India Role Description Indra is the central program driving the introduction and safe scaling of AI at DB. Focus is identify AI potential across various banking operations, driving funded use cases into production to create value and confidence and scale across the bank, creating selected shared services with embedded safety to enable low cost scale, developing an AI Workbench for developers for safe AI development at pace, and introducing AI controls whilst aiming to maintain time to market. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Model Deployment: Collaborate with data scientists to deploy machine learning models into production environments.Implement deployment strategies such as A/B testing or canary releases to ensure safe and controlled rollouts. Infrastructure Management: Design and manage the infrastructure required for hosting ML models, including cloud resources and on-premises servers.Utilize containerization technologies like Docker to package models and dependencies.Continuous Integration/Continuous Deployment (CI/CD):Develop and maintain CI/CD pipelines for automating the testing, integration, and deployment of ML models.Implement version control to track changes in both code and model artifacts.Monitoring and Logging:Establish monitoring solutions to track the performance and health of deployed models.Set up logging mechanisms to capture relevant information for debugging and auditing purposes. Scalability and Resource Optimization: Optimize ML infrastructure for scalability and cost-effectiveness.Implement auto-scaling mechanisms to handle varying workloads efficiently. Security and Compliance: Enforce security best practices to safeguard both the models and the data they process.Ensure compliance with industry regulations and data protection standards. Data Management: Oversee the management of data pipelines and data storage systems required for model training and inference.Implement data versioning and lineage tracking to maintain data integrity. Collaboration with Cross-Functional Teams: Work closely with data scientists, software engineers, and other stakeholders to understand model requirements and system constraints.Collaborate with DevOps teams to align MLOps practices with broader organizational goals. Performance Optimization: Continuously optimize and fine-tune ML models for better performance.Identify and address bottlenecks in the system to enhance overall efficiency. Documentation: Maintain clear and comprehensive documentation of MLOps processes, infrastructure, and model deployment procedures.Document best practices and troubleshooting guides for the team. Your skills and experience University degree in a technical or quantitative field (e.g., computer science, mathematics, physics, economics, etc.), preferably a Masters or Doctoral degree 2-4 years of experience in applying AI, machine learning and/or data science in business and/or academia. Strong knowledge of at least one programming language (e.g., Python, JavaScript) and relevant data science or engineering framework (e.g., scikit-learn, TensorFlow, Spark, etc.). Ideally, practical experience in finance and banking Comfortable working with and managing uncertainty and ambiguity Excellent oral and written communication skills in English How well support you About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

An AI Solution Engineer at IBM is not just a job title - it's a mindset. You'll leverage the watsonx platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients.We are seeking an experienced and innovative AI Solution Engineer to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges.Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties: Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations.Customer Engagement and SupportAct as a technical point of contact for customers, addressing their questions, concerns, and feedback. Provide technical support during the solution deployment phase and offer guidance on AI-related best practices and use cases.Documentation and Knowledge SharingDocument solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members.Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Understanding of key concepts in the Foundation Models literature and expertise in building and deploying them for real-world examples. Knowledge of cloud technologies and expertise in leveraging them for large-scale AI or FM workloads. Ability to identify fundamental problems from real-world cloud use-cases and to design, build and validate successful AI solutions. Capability to demonstrate and evaluate AI solutions via experimental methods, particularly through hands-on creation of prototypes. Strong communication skills and the ability to collaborate effectively within a local team. Excellent command of the English language, both verbal and written. Preferred technical and professional experience Strong contribution record demonstrated through active participation in open source communities, sharing technical resources and educational content, maintaining influential technical blogs or social media presence, and public evangelism of technology through speaking engagements, workshops and community events. Track record in being part of highly collaborative teams to tackle important problems which produce high impact solutions. Expertise in Python programming and statistical analysis including experience with advances statistical methods, data modelling and implementing efficient algorithmic solutions.

Lead IBM into the future by translating system requirements into the design and development of customized systems in an agile environment. The success of IBM is in your hands as you transform vital business needs into code and drive innovation. Your work will power IBM and its clients globally, collaborating and integrating code into enterprise systems. You will have access to the latest education, tools and technology, and a limitless career path with the world’s technology leader Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Develop and deploy models using CML workspaces, Build CI/CD pipelines for ML lifecycle Integrate with governance and monitoring tools,Enable secure model serving via REST APIs Preferred technical and professional experience Model governance, lineage, and versioning API exposure for real-time inference

Educational Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities Minimum 3-5 years of work experience in SAS EG and SAS CI Hands on experience in data transferring from different sources to SAS database Expertise in Data Step and Proc Step including merge statement , proc sql and macros , SAS functions Experience in automation and SAS reporting Good communication skill is must. Candidate should independently work deliver the project work as well as deal with client . Location Any Infosys DC in India Preferred Skills: Technology-ETL & Data Quality-ETL & Data Quality - SAS-SAS - SAS Data Integration Studio

Hiring for Multiple Roles 1. SAS, SQL, Marketing Analytics 2. SAS, SQL, Credit Risk Model 3. SAS, SQL Strategy Development 4. SAS, SQLCollection Strategy 5. SAS, SQL, MRM 6. SAS, SQL, Credit Risk Model

Good Programming Knowledge - Python, C++ Python Libraries -Numpy, Pandas DL framework - Pytorch, Keras / Tensorflow, Scikit Learn AI Concepts - Strong fundamentals & working experience in o Machine Learning (ML) o Deep Learning (DL) o Model Tuning, Optimization & Verification o Transfer Learning Excellent understanding of lower level fundamentals of deep learning models such as layer details, attention, normalization, backpropagation, and optimizers. Tools Git Docker Collaboration tools (Ex. Confluence, Jira) Data analyst & Software Specialist Understand LG device data, pre-sales, post-sales data Derive insights Large Scale Data (Time series) Pre-processing & Analytics (w/ On-premise CPU&GPU server) Statistical Reasoning ML/DL (Fault Diagnosis, Energy), Parameter Tuning and Optimization Domain Specific Strong fundamentals & working experience in Exploratory Data Analysis (EDA) Remaining Useful Life Prediction Anomaly detection Regression problem solving Experience in Cloud Developer toolchains (AWS or MS Azure) Software development kit Data storage options, connections Compute/container deployment Debugging ETL process

Skills Required: Proficiency in Python, SQL, Natural Language Processing (NLP), and strong data management skills, Artificial Intelligence Machine Learning, integrate AI/ML models into existing systems, delivering AI/ML projects from inception to deployment. Responsibilities: -Develop and implement AI/ML solutions to address business challenges -Collaborate with cross-functional teams to integrate AI/ML models into existing systems -Conduct research and stay updated with the latest advancements in AI/ML technologies -Proven track record of delivering AI/ML projects from inception to deployment -Strong problem-solving skills and ability to work independently and in teams. Minimum 5 years of hands-on experience in Artificial Intelligence/Machine Learning .