22 Predictive Models Jobs

As a leading AIML Company, KiE Square specializes in providing advanced Data Science and Data engineering solutions to clients, driving their Business Intelligence Transformation. We are currently seeking individuals to join our Core Team of Data Scientists, Data Engineers, and AIML Developers. We are looking for dedicated professionals who possess a sharp analytical mindset, have successfully delivered numerous high-value projects, are adept at handling large datasets, and have a proven track record of building Predictive Models with a strong sense of accountability. Key Role Areas: - Lead functional design and configuration for D365 F&O Finance implementations. - Gather and analyze business requirements to translate them into functional specifications. - Collaborate with technical teams to ensure seamless integration and customization. - Conduct workshops, training sessions, and User Acceptance Testing (UAT) with stakeholders. - Provide support for future cloud migration planning and readiness. Key Qualifications: - 5-8 years of experience in D365 F&O. - Minimum of 4-5 end-to-end implementations in the Finance domain. - Proficiency in API integrations and mobile app workflows. - Experience in UAT Execution management and familiarity with RSAT. - Excellent communication, documentation, and stakeholder management skills. If you are a dynamic professional with a passion for Data Science, Data engineering, and AIML, we encourage you to apply and become a valuable member of our team at KiE Square.,

Entity : - Accenture Strategy & Consulting Team : - Global Network - Data & AI Practice : - Banking & Financial Services Analytics Title : - Consultant Level 9 Job location : - Bengaluru, Gurugram, Mumbai About S&C - Global Network Data & AI : - Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling to outperform the competition. Role Overview : - As an experienced financial services professional, your market-leading industry, management and technology expertise will provide critical solutions that answer unparalleled strategic, operational, technology and sourcing demands. And, in doing so, you&aposll improve the future of the global financial services industry. Accenture serves the world&aposs leading financial services organisations across three industry groups Central Banks: Monetary authorities, reserve banks across globe Banking : Retail and commercial banks and diversified financial institutions. Capital Markets : Investment banks, broker/dealers, asset & wealth management firms, depositories, exchanges, clearing & settlement organisations. Whats In It For You Youll be part of a diverse, vibrant, global Accenture data science community, continually pushing the boundaries of analytical capabilities Get to work with top financial clients globally Build new skills, grow existing skills, develop new areas of expertise within functional and technical areas of business Get access to resources that will allow you to leverage the latest technologies and bring innovation to life with the worlds most recognizable companies What You Would Do In This Role Work closely with clients to understand their business goals and challenges. Develop data strategies aligned with business objectives and industry best practices. Collaborate with business stakeholders to understand analytical requirements and deliver actionable insights Identification of key business questions through data collection and ETL, and from performing analyses and using a wide range of statistical, machine learning, and applied mathematical techniques to delivery insights Develop and implement predictive models to assess and manage financial risks, leveraging advanced data science techniques. Build predictive models to assess and maximize Customer Lifetime Value, enabling targeted retention and acquisition strategies. Help in responding to RFPs and design POVs Working across client teams to develop and architect Generative AI solutions using ML and GenAI Implement data security measures to safeguard sensitive financial information and ensure adherence to industry standards. Show more Show less

The ideal candidate for the role of VP Data Science should have a strong background in data analytics, business intelligence, and management. As a visionary leader, you will drive the Data and Analytics, BI function to facilitate data-driven decision-making across the organization. Your responsibilities will include overseeing the development and implementation of machine learning predictive models, BI tools, and systems. It is crucial to ensure data accuracy and integrity while providing actionable insights to various departments. Effective communication, a strategic mindset, and the ability to collaborate with cross-functional teams are essential for success in this role, as you will play a critical part in helping the organization leverage data to achieve its business goals and objectives. Your key responsibilities will involve developing and implementing the overall Data and Analytics, BI strategy, as well as supervising the design, development, and maintenance of predictive models, BI tools, and systems. You will be accountable for ensuring data accuracy, integrity, and security, and providing actionable insights to support business decision-making. Collaboration with cross-functional teams to comprehend their data needs, managing and mentoring a team of data analytics professionals, setting performance goals, and conducting regular performance reviews are also part of your role. Staying updated with the latest trends and technologies, developing and maintaining data governance policies, and delivering presentations to senior management are critical responsibilities. Additionally, monitoring and reporting on key performance indicators (KPIs), identifying opportunities for process improvements, and ensuring compliance with data privacy regulations will be essential in this position. To qualify for this role, you should possess a Bachelor's degree in Computer Science, Information Systems, or a related field, with a Master's degree being preferred. Prior experience in business intelligence/data analytics and a leadership role is required. Proficiency in R/Python, Machine Learning, Databases, Dashboards, as well as a strong understanding of Data Science, Machine Learning, and Data Analytics, are necessary. Familiarity with BI tools and systems, excellent analytical and problem-solving skills, and strong communication and presentation abilities are also essential. Experience with data warehousing, ETL processes, SQL, and other database query languages is expected. The ability to work collaboratively with cross-functional teams, strong project management skills, and knowledge of data governance and data privacy regulations are crucial. Experience in Banking and Financial services, particularly in predictive modeling of regulatory and non-regulatory credit risk domain, would be advantageous. In conclusion, the VP Data Science role demands a dynamic individual who can effectively lead the Data and Analytics, BI function, drive strategic decision-making through data insights, and contribute significantly to the organization's success in achieving its business objectives.,

Working at AxionConnect offers you more than just a job - it's a chance to grow, learn, and thrive in a supportive and inspiring environment. We prioritize the well-being and development of our employees by providing a range of benefits and resources to enhance both their professional and personal lives. From training and mentorship programs to flexible work arrangements and employee engagement initiatives, we are dedicated to ensuring that you have the necessary tools and support to succeed. At AxionConnect, reputation and industry leadership are key. As a prominent ITES brand, we have built a strong reputation for delivering innovative solutions to our clients. With a proven track record of success, we have become a trusted partner in the industry, collaborating with leading organizations across various sectors. Our culture at AxionConnect is one of excellence. We encourage our employees to push boundaries, think creatively, and continuously strive for improvement. By investing in the latest technologies and providing a conducive work environment, we empower our team members to excel in their respective roles. We believe that collaboration and inclusivity drive innovation at AxionConnect. Open communication, teamwork, and knowledge sharing are encouraged, creating an environment where diverse perspectives are valued and embraced. Our inclusive culture enables our employees to thrive and achieve their full potential. Career growth opportunities are abundant at AxionConnect. We are committed to the professional growth and development of our employees by providing ongoing training, mentorship, and advancement opportunities. This allows individuals to expand their skill sets, take on new challenges, and progress in their careers within our organization. If you are passionate about innovation, collaboration, and making a difference, we invite you to join our community at AxionConnect. We are always seeking talented individuals who are driven to excel and thrive in a dynamic and fast-paced environment. Together, we can create meaningful solutions and shape the future of the ITES industry. Ready to take the next step in your career with us Explore the exciting opportunity below: Tech Job: Sr Data Scientist Are you a skilled Data Scientist with expertise in statistical modeling (SAS EG/EMiner, Python), particularly within banking/insurance Join us at AxionConnect to contribute to model development, deployment, and predictive frameworks, leveraging your proficiency in credit risk modeling and machine learning. Turn data into actionable insights in a dynamic, client-centric atmosphere. Key Requirements: - Experience with statistical modeling language - SAS EG/EMiner Python - Knowledge of Analytical applications in the banking/insurance industry - Model development and validation knowledge - Design, development, and deployment of Predictive models and frameworks - Experience with modeling techniques such as Credit Risk Modelling and classification techniques - Passion for data, structured or unstructured - Hands-on experience with Python - Sound experience in data mining, data analysis, and machine learning techniques - Excellent critical thinking, verbal, and written communication skills - Ability and desire to work in a proactive, highly engaging, high-pressure, client service environment - Good presentation skills If you meet these requirements and are ready to take on new challenges, we encourage you to apply and be part of our exceptional team at AxionConnect.,

As a talented SQA Engineer at BMC, you will play a crucial role in the development and testing of complex and distributed software products. Collaborating with developers, architects, and other Quality Assurance team members, you will validate product functionality through the execution of manual and automated test cases. Your responsibilities will include identifying end user scenarios, documenting all discovered issues, and validating fixes provided by developers. Additionally, you will contribute to product and process improvements, refine QA practices, and showcase/demo products to customers and stakeholders as needed. To excel in this role and contribute to both BMC's success and your own, you will need to bring a skillset and experience that includes a Bachelor's degree in computer science, engineering, or a related field along with at least 6 years of experience as a Quality Test Engineer in a distributed/mainframe environment. You should have demonstrable experience in functional, regression, and/or load testing, proficiency in at least one server-side language such as Java or Python, and familiarity with AI/ML implementation, algorithms, and tools. Experience with testing web and client-server applications, hands-on expertise in automation/scripting tools like Selenium, Cucumber, Robot Framework, etc., and strong test automation skills are essential for this role. Furthermore, you should possess solid experience in REST APIs testing, knowledge of SaaS products and cloud technologies, and the ability to create test strategies, test cases, and test execution plans. Familiarity with agile software development methodologies, DevOps practices, and different operating systems flavors, as well as excellent communication, interpersonal, and analytical skills, will be beneficial in your role as an SQA Engineer at BMC. While these qualifications are crucial, BMC is also open to candidates with diverse backgrounds and experiences. If you are deeply excited about joining BMC and this team, we encourage you to apply even if you are unsure about meeting all the qualifications listed above. At BMC, we value our employees and strive to create a culture that celebrates diversity, authenticity, and individuality. With a global team of over 6000 brilliant minds, BMC offers a supportive and inclusive work environment where you can truly be yourself. Additionally, BMC is committed to fair and transparent compensation practices, offering a competitive salary along with other rewards and benefits tailored to specific countries. If you have taken a break in your career and are looking to re-enter the workforce, BMC welcomes candidates who are interested in this role to learn more about our Returnship program by visiting [https://bmcrecruit.avature.net/returnship](https://bmcrecruit.avature.net/returnship).,

Are you a tech-savvy individual with a passion for Artificial Intelligence and Machine Learning Dalnex is seeking a dynamic AI intern to join our innovative team! As an AI intern at Dalnex, you will have the opportunity to work on cutting-edge projects and gain hands-on experience in the field of AI. Your day-to-day responsibilities will include assisting in developing AI models and algorithms to improve business processes, collaborating with team members to analyze data and create predictive models, conducting research on the latest AI trends and technologies, implementing and testing AI solutions in real-world scenarios, participating in brainstorming sessions to ideate new AI-driven initiatives, assisting in optimizing existing AI systems for better performance, and presenting findings and recommendations to stakeholders. If you are a proactive and ambitious individual looking to kickstart your career in AI, apply now to join Dalnex as an AI intern! About Company: At Dalnex, we strive to improve efficiency & optimize lifestyle by driving the world's transition to smart institutions using IoT solutions and providing optimal functionality. LazyNest is a brand under Dalnex that delivers innovative solutions to make living, work, commercial, and community spaces smarter.,

As a Data Analytics Lead with 10 years of experience, you will be responsible for driving the organization-wide analytics strategy and fostering a data-driven decision-making culture. Your key responsibilities will include building dashboards, leading advanced data analysis, developing predictive models, and ensuring ethical data usage. To excel in this role, you should have a B.E./B.Tech in Computer Science or equivalent qualification. Industry preference is given to Manufacturing/Process/IT sectors. You should also possess expertise in tools such as Tableau, Power BI, and Looker, along with knowledge of machine learning and MLOps. Strong communication and leadership skills are essential for effectively executing your responsibilities. Join us in this dynamic role where you will have the opportunity to drive analytics initiatives, develop predictive models, and lead the organization towards data-driven decision-making.,

As a Data Scientist at Standard Chartered, you will leverage your domain expertise to identify opportunities where Artificial Intelligence (AI) can enhance operations, reduce costs, boost productivity, and personalize client experiences. We are seeking individuals with a strong foundation in AI, mathematics, engineering, sciences, or related disciplines, who are intellectually curious, analytical, and eager to learn. In collaboration with stakeholders such as the sales team, relationship managers, traders, and leadership, you will analyze business needs to define AI requirements with measurable success criteria. You will be responsible for extracting insights from extensive datasets, improving data collection methods, recommending AI solutions, and developing self-service dashboards for reporting purposes. Key Responsibilities: - Collaborate with various stakeholders to identify areas where AI can optimize business processes. - Define AI business requirements with clear success metrics. - Analyze large datasets to uncover trends and insights. - Improve data collection methods and recommend AI solutions. - Develop self-service dashboards for reporting. - Utilize data visualization tools to translate analytics into actionable insights. - Implement a framework for continuous monitoring of deployed AI models. Skills and Experience: - 2-5 years of experience in AI, Mathematics, Engineering, or related fields. - Proficiency in predictive models, machine learning algorithms, and data visualization tools. - Knowledge of Natural Language Processing (NLP) and Python programming. - Familiarity with financial mathematics, time series analysis, data governance, and AI regulatory compliance. - Experience with AI techniques including quantum machine learning. Competencies: - Action Oriented - Collaborates - Customer Focus - Gives Clarity & Guidance - Manages Ambiguity - Develops Talent - Drives Vision & Purpose - Nimble Learning - Decision Quality - Courage - Instills Trust - Strategic Mindset Join us at Standard Chartered, an international bank committed to driving commerce and prosperity through our unique diversity. We value inclusivity, innovation, and continuous learning, offering a supportive work environment with opportunities for growth and development. If you are passionate about making a positive impact and thrive on challenges, we invite you to explore a rewarding career with us. Visit our careers website to learn more about opportunities at Standard Chartered.,

As a Data Scientist at our company, you will play a crucial role in supporting the development and deployment of machine learning models and analytics solutions that enhance decision-making processes throughout the mortgage lifecycle, spanning from acquisition to servicing. Your responsibilities will involve building predictive models, customer segmentation tools, and automation workflows to drive operational efficiency and improve customer outcomes. Collaborating closely with senior data scientists and cross-functional teams, you will be tasked with translating business requirements into well-defined modeling tasks, with opportunities to leverage natural language processing (NLP), statistical modeling, and experimentation frameworks within a regulated financial setting. You will report to a senior leader in Data Science. Your key responsibilities will include: - Developing and maintaining machine learning models and statistical tools for various use cases such as risk scoring, churn prediction, segmentation, and document classification. - Working collaboratively with Product, Engineering, and Analytics teams to identify data-driven opportunities and support automation initiatives. - Translating business inquiries into modeling tasks, contributing to experimental design, and defining success metrics. - Assisting in the creation and upkeep of data pipelines and model deployment workflows in collaboration with data engineering. - Applying techniques such as supervised learning, clustering, and basic NLP to structured and semi-structured mortgage data. - Supporting model monitoring, performance tracking, and documentation to ensure compliance and audit readiness. - Contributing to internal best practices, engaging in peer reviews, and participating in knowledge-sharing sessions. - Staying updated with advancements in machine learning and analytics pertinent to the mortgage and financial services sector. Qualifications: - Minimum education required: Masters or PhD in engineering, math, statistics, economics, or a related field. - Minimum years of experience required: 2 (or 1 post-PhD), preferably in mortgage, fintech, or financial services. - Required certifications: None Specific skills or abilities needed: - Experience working with structured and semi-structured data; exposure to NLP or document classification is advantageous. - Understanding of the model development lifecycle, encompassing training, validation, and deployment. - Familiarity with data privacy and compliance considerations (e.g., ECOA, CCPA, GDPR) is desirable. - Strong communication skills and the ability to present findings to both technical and non-technical audiences. - Proficiency in Python (e.g., scikit-learn, pandas), SQL, and familiarity with ML frameworks like TensorFlow or PyTorch.,

Join us as an Assistant Vice President- Credit Strategy at Barclays, where you will spearhead the development of Credit Strategies for some of the well-known co-brand credit cards. You will utilize industry-leading tools to enhance credit strategies. You may be assessed on key skills relevant for success in the role, such as experience with SAS/SQL, knowledge of Lending products especially Credit cards, understanding of the credit underwriting process, as well as job-specific skillsets. To be successful as an Assistant Vice President - Credit Strategy, you should have experience with: Basic/ Essential Qualifications: - College degree required; quantitative disciplines preferred; master's degree preferred - Analytical experience in the financial services industry; credit card experience preferred - Experience building underwriting and/or line assignment credit strategies - Experience with SAS/SQL or other relevant statistical tools Desirable skillsets/ good to have: - Strong analytical, technical, and statistical skills with a proven ability to process vast amounts of data into meaningful information - Strong knowledge of SQL, SAS, and Excel - Strong communication skills, with the ability to present information clearly, in both written and verbal form - Previous experience in the Financial Services Industry and Credit Risk Management Preferred - Ability to thrive in a dynamic and fast-paced environment Key Accountabilities: - Utilizing segment-level valuations, develop Credit Strategies (Underwriting, Line, and Pricing) for the US Partner Portfolio (50%) - Evaluate alternative data for underwriting and line assignment strategies using statistical analysis techniques such as CHAID Decision Trees, optimization procedures, loss forecasting, enhanced process monitoring, data quality analyses, and incorporate score implementations supporting launch (20%) - Develop and monitor customized manual underwriting process (10%) - Work with Segment / Strategic Analytics / Decision Science staff to ensure project completion within agreed time frames and end-client satisfaction (10%) - Analyze, validate, track, and monitor delivered projects (100%) Stakeholder Management and Leadership: The person in this role will interact with Customer Office, Credit Risk, Finance, Segment teams, Customer Delivery, and Technology teams to ensure the correct implementation of the targeting strategies. Decision-making and Problem Solving: Strong problem-solving skills are required. The person needs to be resourceful with a can-do attitude to independently push tasks forward while working with key stakeholders. Ability to make decisions on the fly when equipped with the right background information and business insights. Risk and Control Objective: Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework, and internal Barclays Policies and Policy Standards. This role will be based out of Noida, India. Purpose of the role: To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organization. Accountabilities: - Identification, collection, extraction of data from various sources, including internal and external sources - Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis - Development and maintenance of efficient data pipelines for automated data acquisition and processing - Design and conduct statistical and machine learning models to analyze patterns, trends, and relationships in the data - Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities - Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science. Assistant Vice President Expectations: To advise and influence decision-making, contribute to policy development, and take responsibility for operational effectiveness. Collaborate closely with other functions/business divisions. Lead a team performing complex tasks, using well-developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset to Empower, Challenge, and Drive the operating manual for how we behave.,

Urgent: SAP AI Consultant, near Pune Our client is leading Ice Cream Manufacturer of India , UAE & UK They are a professionally managed global conglomerate with traditional values of the 70-year-old family business. They directly employ over 2000 people across several regions of operations & includes the ownership & management of the boutique hotel in Mumbai, Banquets & Catering services, Indias largest ice-cream store chain , extremely delicious lower-calorie ice cream brand , the leading ice cream & food brand of the Middle East offering traditional Indian packaged foods such as paneer, frozen vegetables, rice & more a chain of modern Indian family dining restaurants in India & other sub-brands. Position Summary The SAP AI Consultant will be responsible for driving the implementation & optimization of artificial intelligence (AI) solutions within the SAP ecosystem. This includes advising clients on AI use cases, designing AI-driven business processes & integrating advanced AI technologies like machine learning, predictive analytics, & intelligent automation into SAP applications. The consultant will work closely with business & technical teams to deliver AI-powered solutions that improve business outcomes. Qualifications & Experience Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field. Minimum 5+ years of relevant experience in implementing AI solutions, with a strong background in SAP technologies. Deep understanding of SAP AI/ML capabilities, including SAP AI Foundation, SAP Leonardo, & SAP Business Technology Platform (BTP). Expertise in machine learning algorithms, predictive analytics, & data science methodologies. Proven experience with integrating AI technologies such as predictive models, natural language processing (NLP), & intelligent automation within SAP environments. Familiarity with SAP S/4HANA & integration of AI with core business applications (e.g., finance, logistics, supply chain). Experience with SAP Analytics Cloud (SAC) & its AI-driven analytics capabilities. Hands-on experience with Python, R, SQL, & other AI-related programming languages & tools. Knowledge of cloud-based AI services, such as SAP Data Intelligence, Google Cloud AI, AWS AI/ML, or Microsoft Azure AI. Understanding of AI ethics, data governance, & regulatory compliance related to AI applications. Strong problem-solving skills & ability to work on complex, cross-functional AI projects. Excellent communication skills with the ability to explain complex AI concepts to non-technical stakeholders. Ability to collaborate with both business & IT teams to design & deliver AI solutions. Experience with Agile methodology for delivering AI projects is an advantage. SAP certification in AI or related SAP technologies is a plus. Key Skills SAP AI Sap Cloud Platform S/4HANA SAP AI/ML SAP BTP SAP Analytics Cloud Sap Cloud Key Responsibilities Lead the design & implementation of AI & Machine Learning solutions integrated with SAP systems (S/4HANA, SAP Analytics Cloud, SAP Leonardo, etc.). Identify AI opportunities across various business functions (finance, procurement, sales, supply chain, etc.) & provide strategic recommendations for leveraging AI to drive operational efficiency & innovation. Work with SAPs AI capabilities, including SAP AI Foundation, SAP Business Technology Platform (BTP), & SAP Leonardo to create custom AI solutions. Design AI models, implement machine learning algorithms, & build intelligent automation processes to solve complex business problems. Collaborate with SAP functional consultants & business teams to define AI use cases & ensure AI-driven solutions are aligned with business objectives. Develop & deploy AI-powered applications, including predictive analytics, intelligent automation, & natural language processing (NLP), into the SAP environment. Integrate SAP AI technologies with other SAP modules (such as SAP S/4HANA, SAP BW, SAP SuccessFactors) to enhance data-driven decision-making & business performance. Lead data science initiatives by developing AI models, algorithms, & data pipelines to analyse large sets of structured & unstructured data. Advise clients on data requirements for AI models & machine learning, including the collection, cleaning, & processing of data for AI integration. Evaluate AI technologies, tools, & platforms, & recommend the best solutions for clients. Provide expertise in AI governance, ensuring ethical AI implementation & compliance with data privacy regulations. Deliver training & knowledge transfer to clients, enabling them to adopt AI technologies within their business processes. Conduct system testing, troubleshooting, & debugging to ensure successful deployment & execution of AI solutions. Stay up to date with emerging AI technologies, trends, & best practices, applying this knowledge to optimize SAP AI solutions. Preferred Skills Experience with AI-driven chatbots, virtual assistants, or AI-powered customer service solutions. Familiarity with SAP Intelligent Robotic Process Automation (RPA) & how AI integrates into business process automation. Knowledge of deep learning, computer vision, & speech recognition technologies. Experience working with large-scale data sets & leveraging big data platforms such as SAP Data Hub. Ability to design & implement AI models in cloud & on-premise environments. Experience in the automotive, manufacturing, or retail industries is a plus, as these sectors are increasingly adopting AI solutions. You are requested to Email updated resume with following details Current Location Please confirm you are ready to work Near Pune Do you have 5+ years of relevant experience Relevant experience in implementing AI solutions, with a strong background in SAP technologies , (In years) Relevant experience in SAP AI , Sap Cloud Platform , S/4HANA , SAP AI/ML , SAP BTP , SAP Analytics Cloud , Sap Cloud(In years) Relevant experience in designing AI use cases, AI-driven business processes & integrating advanced AI technologies(In years) Relevant experience in machine learning, predictive analytics, & intelligent automation into SAP applications. (In years) Relevant experience in design & implementation of AI & Machine Learning solutions integrated with SAP systems (S/4HANA, SAP Analytics Cloud, SAP Leonardo, etc.). Do you have Deep understanding of SAP AI/ML capabilities, including SAP AI Foundation, SAP Leonardo, & SAP Business Technology Platform (BTP)? Can you work with SAPs AI capabilities, including SAP AI Foundation, SAP Business Technology Platform (BTP) & SAP Leonardo to create custom AI solutions? Can you Develop & deploy AI-powered applications, including predictive analytics, intelligent automation, & natural language processing (NLP), into the SAP environment? Can you Integrate SAP AI technologies with other SAP modules (such as SAP S/4HANA, SAP BW, SAP SuccessFactors) to enhance data-driven decision-making & business performance? Can you Lead data science initiatives by developing AI models, algorithms, & data pipelines to analyse large sets of structured & unstructured data? Can you Advise clients on data requirements for AI models & machine learning, including the collection, cleaning, & processing of data for AI integration? Can you Evaluate AI technologies, tools, & platforms, & recommend the best solutions for clients? Team Size Managed ( Direct & Indirect) Current Salary (Fixed + Variable) Expected Salary Minimum period required for Joining Languages known Please self-rate : your English Communication skills on a scale of 1 to 10 (10 being highest) Contact Details, Residence & Mobile No What’s App No./ Skype ID In case you are not interested, we would appreciate, if you can refer us, suitable matching profiles from your rich contacts [[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[ Best Regards Pradeep Kumar / Mumbai Email: pradeep@intellectualcapital.co.in Cell: 8828181917 / 9323272361 [[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[[

As an Assistant Manager, Credit Risk Modeler at Genpact, you will play a crucial role in overseeing the development, enhancement, and validation of credit risk models. Your responsibilities will include ensuring compliance with regulatory standards, driving innovation in risk management practices, and providing analytical support for recommending actions to mitigate risk. You will be working as a consultant for the centralized advanced analytics team of a banking or financial firm, interacting with various business units including risk, finance, and controllership stakeholders. Your role will involve designing, developing, and validating predictive models, conducting rigorous testing and validation methodologies, and assessing data quality for model development. To excel in this role, you must have experience in developing and validating credit risk models, knowledge of statistical techniques, and familiarity with regulatory and non-regulatory credit risk modeling. You should be proficient in end-to-end development or independent validation of credit risk and regulatory models, including PD, LGD, EAD, Stress Testing, CECL, Credit Scorecards, AML, and counter-fraud models. Additionally, you are expected to have hands-on expertise in SQL, ETL, SAS, Python, and R for working with large datasets. A master's degree in a quantitative discipline such as Statistics, Economics, Finance, or Data Science is required. Strong client management, communication, presentation, and project management skills are essential for this role. Preferred qualifications include strong networking, negotiation, and influencing skills, as well as understanding and experience with regulatory risk model development/validation guidelines such as SR 11-7, Basel IRB, CCAR, CECL, and IFRS9. Hands-on experience in machine learning modeling techniques would be an added advantage. If you are a self-driven individual with a proactive attitude, strong project management experience, and the ability to work effectively under ambiguity and minimal supervision, we invite you to apply for the role of Assistant Manager, Credit Risk Modeler at Genpact.,

Roles and Responsibility Analyze complex data sets to identify trends and patterns. Develop and implement data models and algorithms to support business decisions. Collaborate with cross-functional teams to design and implement data-driven solutions. Create data visualizations and reports to communicate insights to stakeholders. Design and implement data quality checks and validation processes. Stay up-to-date with industry trends and emerging technologies in data analysis. Job Requirements Strong proficiency in data analysis tools and technologies. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a fast-paced environment. Strong communication and interpersonal skills. Experience working with large datasets and developing predictive models. Familiarity with data visualization tools and techniques.

Job Description Job Profile Risk analyst JO Description and Responsibilities . Use analytical tools and techniques to develop predictive models, perform customer segmentation, and provide analytical support to the bank's businesses . Conduct in-depth data analysis to answer complex business questions, across Risk, Credit and Liabilities domain, delivering actionable insights for decision-making . Develop and implement statistical models to predict risks and support decision-making. . Work on developing and deploying machine learning models, python models to extract valuable insights, predict trends, and enable intelligent automation across various business functions. . Work as per requirements of business leaders to understand their data and AI needs and align analytics initiatives . Person will also collaborate with cross-functional stakeholders to unlock the full potential of data across the organization. . Skills and qualifications . Strong analytical and statistical skills, including experience with modeling and predictive analytics. . Experience in building of scorecards, analytical models in BFSI sector will be necessary . Experience in analytical models for Liability products will be beneficial . Familiarity with the financial services industry . Proficiency in Python for driving Data insights, Data Automation, Data Cleanin Check Your Resume for Match Upload your resume and our tool will compare it to the requirements for this job like recruiters do.

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 As an Software Developer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modeling results. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Very good experience on Continuous Flow Graph tool used for point based development Design, develop, and maintain ETL processes using Ab Initio tools. Write, test, and deploy Ab Initio graphs, scripts, and other necessary components. Troubleshoot and resolve data processing issues and improve performance Data Integration: Extract, transform, and load data from various sources into data warehouses, operational data stores, or other target systems. Work with different data formats, including structured, semi-structured, andunstructured data. Preferred technical and professional experience You thrive on teamwork and have excellent verbal and written communication skills. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences

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 As an Associate Software Developer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modeling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Develop/Convert the database (Hadoop to GCP) of the specific objects (tables, views, procedures, functions, triggers, etc.) from one database to another database platform Implementation of a specific Data Replication mechanism (CDC, file data transfer, bulk data transfer, etc.). Expose data as API Participation in modernization roadmap journey Analyze discovery and analysis outcomes Lead discovery and analysis workshops/playbacks Identification of the applications dependencies, source, and target database incompatibilities. Analyze the non-functional requirements (security, HA, RTO/RPO, storage, compute, network, performance bench, etc.). Prepare the effort estimates, WBS, staffing plan, RACI, RAID etc. . Leads the team to adopt right tools for various migration and modernization method Preferred technical and professional experience You thrive on teamwork and have excellent verbal and written communication skills. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences

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 As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another Document solution architectures, design decisions, implementation details, and lessons learned. Stay 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 Preferred technical and professional experience Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus Demonstrate a growth mindset to understand clients business processes and challenges

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. 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 As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 4+ years of experience in data modelling, data architecture. Proficiency in data modelling tools Erwin, IBM Infosphere Data Architect and database management systems Familiarity with different data models like relational, dimensional and NoSQL databases. Understanding of business processes and how data supports business decision making. Strong understanding of database design principles, data warehousing concepts, and data governance practices Preferred technical and professional experience Excellent analytical and problem-solving skills with a keen attention to detail. Ability to work collaboratively in a team environment and manage multiple projects simultaneously. Knowledge of programming languages such as SQL

Analyzing data trends and building predictive models. We are seeking a highly motivated Junior Data Scientist to join our data team. The ideal candidate will be passionate about working with data, uncovering trends, and building predictive models to solve real-world business problems. You will work closely with senior data scientists and analysts to turn raw data into actionable insights. Key Responsibilities: Analyze large datasets to identify trends, patterns, and anomalies. Assist in building, testing, and deploying predictive and statistical models. Collaborate with cross-functional teams to define data requirements and business goals. Perform data cleaning, transformation, and feature engineering tasks. Use data visualization tools to communicate findings effectively. Support ongoing data science projects and contribute to model improvements. Education - B.Tech CS, Data Science

Analyzing data trends and building predictive models. We are seeking a highly motivated Junior Data Scientist to join our data team. The ideal candidate will be passionate about working with data, uncovering trends, and building predictive models to solve real-world business problems. You will work closely with senior data scientists and analysts to turn raw data into actionable insights. Key Responsibilities: Analyze large datasets to identify trends, patterns, and anomalies. Assist in building, testing, and deploying predictive and statistical models. Collaborate with cross-functional teams to define data requirements and business goals. Perform data cleaning, transformation, and feature engineering tasks. Use data visualization tools to communicate findings effectively. Support ongoing data science projects and contribute to model improvements. Education - B.Tech CS, Data Science

Analyzing data trends and building predictive models. We are seeking a highly motivated Junior Data Scientist to join our data team. The ideal candidate will be passionate about working with data, uncovering trends, and building predictive models to solve real-world business problems. You will work closely with senior data scientists and analysts to turn raw data into actionable insights. Key Responsibilities: Analyze large datasets to identify trends, patterns, and anomalies. Assist in building, testing, and deploying predictive and statistical models. Collaborate with cross-functional teams to define data requirements and business goals. Perform data cleaning, transformation, and feature engineering tasks. Use data visualization tools to communicate findings effectively. Support ongoing data science projects and contribute to model improvements. Education - B.Tech CS, Data Science

Analyzing data trends and building predictive models. We are seeking a highly motivated Junior Data Scientist to join our data team. The ideal candidate will be passionate about working with data, uncovering trends, and building predictive models to solve real-world business problems. You will work closely with senior data scientists and analysts to turn raw data into actionable insights. Key Responsibilities: Analyze large datasets to identify trends, patterns, and anomalies. Assist in building, testing, and deploying predictive and statistical models. Collaborate with cross-functional teams to define data requirements and business goals. Perform data cleaning, transformation, and feature engineering tasks. Use data visualization tools to communicate findings effectively. Support ongoing data science projects and contribute to model improvements. Education - B.Tech CS, Data Science