16 Ml Modeling Jobs

As a Retail Business Analytics Engagement leader at our company based in Bengaluru, your role will involve the following responsibilities: Role Overview: You will be responsible for interacting with customers directly, engaging with technical stakeholders, managing delivery, and advising and consulting with Client Business teams for scoping and expectations management. Additionally, you will plan and lead projects from both a business and technical perspective, with support from Modelers, data engineering, and UI development teams. Gathering detailed requirements from customers, performing data analysis, validating and explaining AI/ML model results, and enhancing existing analytic technique...

Role Overview: You will collaborate with stakeholders to plan, design, develop, test, and maintain the digital data center and analytics initiative. Identify areas to apply optimization or predictive analytics in the Business and conceptualize a charter for deploying machine learning models. Additionally, you will document the technology requirements, build use cases using appropriate algorithms, and enable their deployment for go-live. Clear communication of processes, potential solutions, and use cases through documentation, wireframes, interaction flows, prototypes, and visuals will be essential. Participation in the full lifecycle of AI, ML projects from ideation to model development, im...

As a Data Science + Generative AI professional joining our AI & Analytics team, you will be responsible for utilizing your expertise in AI architectures, frameworks, and cloud technologies to develop innovative solutions in the generative AI and data science domains. Key Responsibilities: - Design and deploy Gen AI solutions using modern tools and cloud platforms - Implement RAG pipelines and enhance knowledge-based LLMs - Work collaboratively with cross-functional teams on AI project design and implementation - Optimize model performance, token usage, and latency for production systems - Assist in evaluating and incorporating Responsible AI practices Qualification Required: - Hands-on exper...

You will be part of the Capital Markets AI/ML CoE team, a horizontal CoE dedicated to driving revenue and bringing significant savings to the business by identifying, exploring, and implementing AI/ML solutions in the Capital Markets vertical at FIS. You will be responsible for assisting in designing and developing cutting-edge AI/ML solutions across the organization. - Basic working experience in data analysis and ML modeling. - Understanding of machine learning and deep learning concepts. - Ability to help formulate business problems as machine learning problems. - Familiarity with computer vision, natural language processing, and anomaly detection. - Awareness of GenAI and its industry ap...

You will assist Cross-Sell Credit in achieving superior portfolio quality through a range of initiatives. - PL Eligibility Base preparation (SQL) - Portfolio Risk segmentation through Decision Trees and other ML (Python) - PL Portfolio quality improvement through specific Credit Actions - Process Quality (end-to-end customer journey) documentation, deviations tracking, change implementation - PL Portfolio review and MIS Qualifications: - MS Data Science, Mathematics, Statistics, Economics Experience: - 4+ years of experience Functional Competencies: - Strong Analytics background (Tableau dashboards, ML modeling) - Very Strong with data tools: SQL, python, XL - Good understanding of lending, ...

Data Scientist (AI & LLM) Experience: 8 to 11 years Shift: 12-9 PM Shift Location: Chennai Work Mode: Office PhD with 6+ years of experience, Master's degree with 8+ years of experience, or Bachelor's degree with 10+ years of experience in Computer Science, Engineering, Applied mathematics or related field 7+ years of hands-on ML modeling/development experience Experience in creating GenAI and Agentic AI applications Solid working knowledge of the engineering components essential in a Gen AI application, including Vector DB, caching layer, chunking, and embedding Knowledge of a variety of machine learning techniques (clustering, decision tree, bagging/boosting artificial neural networks, etc...

Role Overview: At PwC, as a Senior Associate in the Data Science - Conversational AI domain, you will focus on leveraging data to drive insights and make informed business decisions. Your role will involve utilizing advanced analytics techniques to extract insights from large datasets, drive data-driven decision-making, and provide business recommendations to project teams. You will work as an integral part of business analytics teams, leading high-end analytics consulting engagements and collaborating with clients and consultants in the U.S. Key Responsibilities: - Develop and execute project & analysis plans under the guidance of the project manager. - Translate business needs into data sc...

Role Overview: At PwC, as a Senior Associate in the Data Science - Conversational AI domain, you will focus on leveraging data to drive insights and make informed business decisions. You will be part of the Digital Contact Solutions team within the Analytics Consulting practice, working on high-end analytics consulting engagements and providing business recommendations to project teams. Your role will involve developing proposals, translating business needs into data science solutions, interacting with clients, conducting analysis using advanced analytics tools, and coaching junior team members. Additionally, you will be responsible for writing and deploying production-ready code, making pre...

We are a technology-led healthcare solutions provider with a purpose to enable healthcare organizations to be future-ready. We offer accelerated global growth opportunities for individuals who are bold, industrious, and nimble. At Indegene, you will experience a unique career journey that celebrates entrepreneurship and is guided by passion, innovation, collaboration, and empathy. If you are interested in exploring exciting opportunities at the convergence of healthcare and technology, visit www.careers.indegene.com. If you are seeking an exciting role in an entrepreneurial organization without the usual risks associated with it, then this opportunity is for you. We understand your desire fo...

At PwC, our focus in data and analytics is on leveraging data to drive insights and make informed business decisions. We utilize advanced analytics techniques to help clients optimize their operations and achieve strategic goals. In the field of data analysis at PwC, you will be tasked with utilizing advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Your role will involve leveraging skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems. Driven by curiosity, you are expected to be a reliable and contributing member of a team. In our fast-paced environment, you mus...

At PwC, our team members in data and analytics are dedicated to utilizing data to drive insights and facilitate informed business decisions. Using advanced analytics techniques, we assist clients in optimizing their operations and achieving strategic goals. As a data analyst at PwC, your primary focus will be on employing advanced analytical methods to extract insights from extensive datasets and promote data-driven decision-making. Your role will involve leveraging expertise in data manipulation, visualization, and statistical modeling to aid clients in solving complex business challenges. Fueled by curiosity, you are a dependable and collaborative team member. In our dynamic work environme...

At PwC, our focus in data and analytics is on leveraging data to drive insights and make informed business decisions. We utilize advanced analytics techniques to assist clients in optimizing their operations and achieving their strategic goals. In the realm of data analysis at PwC, your main role will involve utilizing advanced analytical techniques to extract insights from large datasets and facilitate data-driven decision-making. Your expertise in data manipulation, visualization, and statistical modeling will be crucial in supporting clients to solve complex business problems effectively. Driven by curiosity, you are a reliable and contributing member of a team. In our fast-paced environm...

Senior AI & ML Platform Engineer Location: Bengaluru Experience Level: 3 to 10 Years About the Role We are building next-generation AI-powered platforms that leverage Large Language Models (LLMs), advanced Machine Learning (ML), NLP, and agentic workflows to automate critical business processes across multiple domains. We are looking for experienced AI/ML Engineers who are passionate about building real-world AI productsnot just experimenting. You will help design, prototype, and deploy intelligent systems integrating LLMs, agents, APIs, and robust ML models for classification, prediction, and optimization. Responsibilities Build and integrate agentic AI workflows using LangChain or similar ...

Duration: 12Months Position Description: Develop RPA and Chat Bot solutions using Pega and Case Management solutions. Developing integrations for RPA and Chat Bot solutions using Webservices and API's Pairs with other software engineers to cooperatively deliver user stories. Uses the test driven development methodology to realize the technical solution. Perform requirements gathering, Business Analysis, Fit Gap Analysis, System Testing, Documentation (FDD and TDD) and End User Training Analyze integration requirements and work with legacy systems Should coordinate with business skill teams, PDO IT teams, Architects and Product vendor (Pega) in developing and deploying the automation solution...

*Perform exploratory data analysis to identify patterns, trends, and insights. *Build and validate predictive models and machine learning algorithms. *Stay current on developments in data science and machine learning. Key skills : Azure ,Hadoop&SQL.

*Analyze large, complex datasets to identify trends, patterns, and opportunities. *Develop predictive models and statistical analyses to support strategic Initiatives.Communicate &collaborate with other team members/team lead to prepare analysis plan