19428 Statistics Jobs - Page 23

"Are you passionate about solving logical problems and working through challenging math? Turing is looking for PhD-level researchers in mathematics to test the reasoning capabilities of large language models (LLMs). You’ll create math problems, analyze model responses, and identify gaps in logic or understanding. The goal is to measure how well these models handle abstract thinking and structured problem-solving. What does day-to-day look like? You’ll create math problems, review how the AI solves them, and share insights on how well it understands complex reasoning and logical steps. You’ll take on tasks such as: Find the number of permutations of 10 elements that consist only of exactly 3 disjoint cycles. How many distinct convex polyhedra can be formed using exactly 10 vertices such that all faces are triangles and the polyhedron has genus zero? Eligibility Currently enrolled in or have completed a Ph.D. or Postdoctoral in Mathematics, Applied Mathematics, Statistics, or a related field Strong research and analytical skills Able to provide clear, constructive feedback with examples Strong written communication, especially in remote settings Comfortable working independently Stable computer and internet access Note: This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered. Time Commitment & Contract Details Commitments Required: at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week) Engagement type: Contractor assignment/freelancer (no medical/paid leave) Duration of contract: 1 month; [expected start date is next week] Selection Process: Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload. About Turing Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Why work with Turing? Remote work flexibility Work on high-impact AI research projects Possibility of contract extension based on performance Collaborate with experts worldwide to test and refine AI models."

"Are you passionate about solving logical problems and working through challenging math? Turing is looking for PhD-level researchers in mathematics to test the reasoning capabilities of large language models (LLMs). You’ll create math problems, analyze model responses, and identify gaps in logic or understanding. The goal is to measure how well these models handle abstract thinking and structured problem-solving. What does day-to-day look like? You’ll create math problems, review how the AI solves them, and share insights on how well it understands complex reasoning and logical steps. You’ll take on tasks such as: Find the number of permutations of 10 elements that consist only of exactly 3 disjoint cycles. How many distinct convex polyhedra can be formed using exactly 10 vertices such that all faces are triangles and the polyhedron has genus zero? Eligibility Currently enrolled in or have completed a Ph.D. or Postdoctoral in Mathematics, Applied Mathematics, Statistics, or a related field Strong research and analytical skills Able to provide clear, constructive feedback with examples Strong written communication, especially in remote settings Comfortable working independently Stable computer and internet access Note: This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered. Time Commitment & Contract Details Commitments Required: at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week) Engagement type: Contractor assignment/freelancer (no medical/paid leave) Duration of contract: 1 month; [expected start date is next week] Selection Process: Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload. About Turing Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Why work with Turing? Remote work flexibility Work on high-impact AI research projects Possibility of contract extension based on performance Collaborate with experts worldwide to test and refine AI models."

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! Job Description Join Adobe as a Research Scientist in Noida's MDSR Lab within the DX unit. Conduct innovative research to reshape digital experiences. Responsibilities Design, implement, and optimize ML algorithms to address real-world problems in understanding user behavior and generating content to improve marketing performance. Develop scalable synthetic data generation and evaluation techniques. Manipulate and analyze complex, high-volume, high-dimensionality data from diverse sources. Iteratively refine research experiments and clearly communicate insights to the team. Integrate core machine learning models into the Adobe Experience Manager and Adobe Experience Platform. Collaborate with product, design, and engineering teams to rapidly prototype and transition conceptual prototypes from research to production. Requirements Proven expertise in one or more of the following areas: Large Language Models, Computer Vision, Natural Language Processing, Computational Social Science, Behavioral Sciences, Agentic Workflows, Social Network Analysis, Causal Inference, Recommendation Systems, Multimodal Content Understanding. Quality research work published in top conferences. Hands-on experience and a track record of deploying solutions in production environments. Experience in deriving concrete conclusions and actionable insights from large datasets. Ability to take research risks and solve hard problems independently. PhD degree or an equivalent experience (for BTech) in industrial research in Computer Science, Statistics, Economics, or other relevant technical fields. You Will Thrive In This Role If You: Are a great teammate who is willing to take on a variety of tasks to ensure the success of the team. Have a consistent track record for empirical research, answering complex questions with data. Have experience working in complex technical environments, improving research velocity. Possess a flexible analytic approach that allows for results at varying levels of precision. Have familiarity with relational databases, SQL, and large-scale data systems such as Apache Spark. Join us at Adobe and be part of an ambitious team that is passionate about making an impact on a global scale! Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.

At ABB, we help industries outrun - leaner and cleaner. Here, progress is an expectation - for you, your team, and the world. As a global market leader, we’ll give you what you need to make it happen. It won’t always be easy, growing takes grit. But at ABB, you’ll never run alone. Run what runs the world. This Position reports to: Sales Specialist Your Role And Responsibilities (Mandatory) In this role, you will have the opportunity to be responsible for the sales of products/systems/services within a designated market/division, in line with the division strategy. Each day, you will achieve both qualitative and quantitative sales targets to ensure sustainable order growth, revenues, profitability, market share, and customer satisfaction. You will also showcase your expertise by identifying and developing new sales opportunities. Work Model- This role is contributing to the Motion Business for Services Division in Kolkata , India You will be mainly accountable for: Penetrating IB, promotes various upgrade, retrofit and value add solutions to the benefit of the customer and ABB. Understanding the channel strategy and the establishment of related prices and prepares sales plans, reviews them and proposes recovery plan(s) when needed. Regularly updating in-stalled base with the changes made at site. Utilizing service database to understand the existing installed base (IB), identifying and developing sales opportunities for service products and solutions to penetrate the existing IB/new IBs in the market Generating service sales leads and developing new market opportunities by utilizing market trend information, identifying and exploring potential new service portfolios Establishing long term customer relationships by understanding customer requirements and applicable regulations and Demonstrating in-depth technical service product/solutions knowledge to promote Life Cycle Management (LCM) Selling entire service product portfolio to expand ABB footprint in the designated area(s). Charting out and monitoring sales proposals, tenders and follows up proposal statistics. Pre-paring ABB’s service offerings based on customer need and in coordination with the local Ser-vice Sales Manager Preparing sales plans using company tools. Performing regular status reviews and proposes recovery plan(s) in cases of potential order shortfall Qualifications for the role Diploma/Engineering in electricals/electronics Require more than 5 years of experience in service sales Good knowledge on variable frequency drives (low or medium Voltage VFDs) Motors and Generators/Alternators (LT and HT) Industries and various applications & Proficiency in Microsoft Office, Salesforce.com/ MS PowerPoint More about us ABB Motion Services serve customers around the globe with innovative services to maximize performance, uptime and energy efficiency throughout the lifetime of electrical motion solutions. Electrical motion is applied everywhere in industries, cities, infrastructure and transportation and is a cornerstone of the energy revolution. Our people and culture are the foundation of our success. We drive innovations through digitalization and make the difference for our customers and partners every day. ABB Motion keeps the world turning, while saving energy every day. We value people from different backgrounds. Could this be your story? Apply today or visit www.abb.com to read more about us and learn about the impact of our solutions across the globe. Fraud Warning: Any genuine offer from ABB will always be preceded by a formal application and interview process. We never ask for money from job applicants. For current open positions you can visit our career website https://global.abb/group/en/careers and apply. Please refer to detailed recruitment fraud caution notice using the link https://global.abb/group/en/careers/how-to-apply/fraud-warning.

"Are you passionate about solving logical problems and working through challenging math? Turing is looking for PhD-level researchers in mathematics to test the reasoning capabilities of large language models (LLMs). You’ll create math problems, analyze model responses, and identify gaps in logic or understanding. The goal is to measure how well these models handle abstract thinking and structured problem-solving. What does day-to-day look like? You’ll create math problems, review how the AI solves them, and share insights on how well it understands complex reasoning and logical steps. You’ll take on tasks such as: Find the number of permutations of 10 elements that consist only of exactly 3 disjoint cycles. How many distinct convex polyhedra can be formed using exactly 10 vertices such that all faces are triangles and the polyhedron has genus zero? Eligibility Currently enrolled in or have completed a Ph.D. or Postdoctoral in Mathematics, Applied Mathematics, Statistics, or a related field Strong research and analytical skills Able to provide clear, constructive feedback with examples Strong written communication, especially in remote settings Comfortable working independently Stable computer and internet access Note: This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered. Time Commitment & Contract Details Commitments Required: at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week) Engagement type: Contractor assignment/freelancer (no medical/paid leave) Duration of contract: 1 month; [expected start date is next week] Selection Process: Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload. About Turing Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Why work with Turing? Remote work flexibility Work on high-impact AI research projects Possibility of contract extension based on performance Collaborate with experts worldwide to test and refine AI models."

"Are you passionate about solving logical problems and working through challenging math? Turing is looking for PhD-level researchers in mathematics to test the reasoning capabilities of large language models (LLMs). You’ll create math problems, analyze model responses, and identify gaps in logic or understanding. The goal is to measure how well these models handle abstract thinking and structured problem-solving. What does day-to-day look like? You’ll create math problems, review how the AI solves them, and share insights on how well it understands complex reasoning and logical steps. You’ll take on tasks such as: Find the number of permutations of 10 elements that consist only of exactly 3 disjoint cycles. How many distinct convex polyhedra can be formed using exactly 10 vertices such that all faces are triangles and the polyhedron has genus zero? Eligibility Currently enrolled in or have completed a Ph.D. or Postdoctoral in Mathematics, Applied Mathematics, Statistics, or a related field Strong research and analytical skills Able to provide clear, constructive feedback with examples Strong written communication, especially in remote settings Comfortable working independently Stable computer and internet access Note: This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered. Time Commitment & Contract Details Commitments Required: at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week) Engagement type: Contractor assignment/freelancer (no medical/paid leave) Duration of contract: 1 month; [expected start date is next week] Selection Process: Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload. About Turing Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Why work with Turing? Remote work flexibility Work on high-impact AI research projects Possibility of contract extension based on performance Collaborate with experts worldwide to test and refine AI models."

About The Role Job Title Ind & Func AI Decision Science Manager - S&C GN Management Level :7 - Manager Location:Open Must have skills: Generative AI, Agentic AI, Model Context Protocol (MCP), Large Language Models (LLMs), Multi-Agent Systems, Python, SQL, AI Agent Orchestration, Machine Learning, Good to have skills: AI Refinery, LangChain, LlamaIndex, AutoGen, Crew AI, Spark, Cloud Platforms (AWS, Azure, GCP), NLP, Computer Vision, Vector Databases, RAG (Retrieval-Augmented Generation), Function Calling, Tool Integration Experience: Minimum 7 years of experience in AI/ML, with demonstrated expertise leading teams in Generative AI application and agentic system delivery, preferably within a consulting or client-facing environment Educational Qualification: Bachelor's or Master's degree (BE/BTech/MBA/MS) in Statistics, Computer Science, Mathematics, AI/ML, or related disciplines with an excellent academic record Job Summary :As an AI Decision Science Manager, you will lead cross-functional teams in the design, development, and deployment of advanced AI agents and multi-modal AI solutions that autonomously execute complex business workflows. You will be responsible for defining and implementing Gen AI and agentic AI strategies for clients, ensuring successful delivery of large-scale AI initiatives. Your expertise will drive innovation, build client relationships, and shape the roadmap for autonomous AI-driven business transformation. Qualification Roles & Responsibilities: Strategic Leadership & Project Delivery Oversee the end-to-end lifecycle of AI projects, from requirements gathering and solution architecture to deployment and post-implementation support Provide thought leadership and guidance to consultants and engineers on cutting-edge Gen AI and Agentic AI technologies Define and communicate a strategic vision for AI agent solutions, ensuring alignment with client business objectives Client & Stakeholder Engagement Act as a trusted advisor to clients, translating complex AI concepts into actionable business solutions Drive discussions on Gen AI best practices, risk management, AI safety, and governance Advanced Generative AI & Agentic System Development Design and implement sophisticated AI agents using frameworks like AI Refinery, LangChain, AutoGen, CrewAI, and custom agentic architectures Develop multi-agent systems that can collaborate, negotiate, and execute complex workflows autonomously Implement Model Context Protocol (MCP) integrations for seamless communication between AI systems and external tools/APIs Build and deploy Generative AI applications with advanced reasoning, planning, and execution capabilities Leverage Advanced Data Science Techniques Develop solutions using Computer Vision, Machine Learning, and Large Language Models (LLMs). Define data requirements, clean, aggregate, analyze, and interpret data while conducting data quality assessments. Develop and Implement AI Models Build and deploy AI models and Generative AI applications. Train and fine-tune LLMs using large-scale datasets to optimize performance and accuracy. Evaluate model performance and implement iterative improvements. Solution Integration and Deployment Collaborate to integrate AI solutions into end-to-end workflows, ensuring scalability. Utilize cloud platforms like AWS, Azure, or GCP for model development and deployment. Innovation and Knowledge Sharing Stay updated on advancements in AI and Data Science, exploring innovative techniques and frameworks. Document methodologies and findings for effective knowledge sharing. Professional & Technical Skills: Must To Have Skills: Expert proficiency in Generative AI, Agentic AI Systems, Model Context Protocol (MCP), LLMs, Multi-Agent Systems, Python, SQL, AI Agent Orchestration frameworks. Cloud & Infrastructure:AWS/Azure/GCP, Docker, Kubernetes, Spark, MLOps pipelines for agentic systems Specialized Knowledge:NLP, Computer Vision, Reinforcement Learning for agent training, Multi-modal AI systems Experience in developing and AI/ML models. The ideal candidate will possess deep expertise in agentic AI systems with a proven track record of building autonomous AI solutions that can execute complex business workflows Strong understanding of AI safety, alignment, and governance principles for autonomous systems Experience with enterprise-grade AI agent deployments and production system management This position is based at our Gurugram office with opportunities to lead cutting-edge AI innovation projects About Our Company | Accenture (do not remove the hyperlink)

Role Purpose The purpose of this role is to increase revenue, maximize process efficiency & cost-effectiveness, and ensure excellent customer experience, through effective supervision of daily operations and personnel, contract compliance, resource optimization and capability development within an account. Do Maximize process efficiency and cost effectiveness through strategic planning, contract compliance and governance mechanisms Strategy Planning with Senior Stakeholders Collaborate with leaders to provide strategic and operational plans associated with the account Plan the strategy for the coming years by identifying new geographies for alternate revenue streams Ensure a deep enough understanding of clients individual experiences to head off potential issues before they become problems Contract compliance & adherence Ensure all SLA parameters are met in the account and maintain a green card at all times Review and drive appropriate actions/ systemic changes on internal and external audit findings to ensure no major non-compliances are cited Monitor and review the account on various delivery parameters to ensure quality delivery as per budget and timelines Delivery governance in the account Understand customer goals and key performance metrics and ensure exceeding those goals throughout the project Ensure a green card for all accounts in terms of performance and quality Monitor and review delivery dashboards/ MIS across accounts to track progress and identify potential red flags Participate and share account performance across operational, quality and fulfillment parameters with internal and external stakeholders Lead and manage project escalations, potential risks or early warning signs on project delivery to eliminate any revenue leakage Ensure regular invoicing as per the contract terms and condition Forecast and track key account metrics Invoicing Timely submission of invoices to the client as defined in the SOW Provide information required and resolve any invoicing issues raised by the client Collect and analyze statistics (costs, customer service metrics etc.) Assume responsibility of budgeting and tracking expenses Ensure outstanding performance against key metrics mentioned in the agreement Regular cadence around contract compliance Evaluate performance with key metrics (accuracy, customer service metrics etc.) Set direction for the team, track progress against targets through regular cadence calls and course correct as require Drive the focus of the team on quality and adherence to contract compliance processes Drive and implement structured cadence around quality, both process and transactional Cadence with delivery lead to ensure margins are met and the account numbers are at par to what is committed Weekly calls with WFM to ensure resource optimization, compliance to the manpower numbers agreed in the contract, future planning in case of ramp ups etc. Resource Allocation & Retention Conduct effective resource planning to maximize the productivity of resources (people, technology etc.) Review and monitor resource planning and fulfillment in line with account requirements and costs of delivery Optimize manpower and minimize leakages by working closely with delivery head Ensure retention by offering relevant trainings and certifications of all allocated resources Lead one-on-one floor connect and other engagement activities to improve stickiness of the delivery team Collaborate and influence internal key stakeholders to manage and resolve issues to ensure fulfillment and flawless delivery of projects Mandatory Skills: Geographic Info. Systems(Car support). Experience: 8-10 Years.

About The Role Job Title Ind & Func AI Decision Science Consultant - S&C GN Management Level :9 - Consultant Location:Gurgaon Must have skills: Generative AI, Agentic AI Systems, Model Context Protocol (MCP), Large Language Models (LLMs), Multi-Agent Systems, Python, SQL, AI Agent Orchestration Good to have skills: AI Refinery, LangChain, LlamaIndex, AutoGen, Crew AI, Spark, Cloud Platforms (AWS, Azure, GCP), NLP, Computer Vision, Vector Databases, RAG (Retrieval-Augmented Generation), Function Calling, Tool Integration Experience: Minimum 4 years of experience in AI/ML with demonstrated expertise in Generative AI applications and agentic systems, preferably within a consulting environment Educational Qualification: Bachelor's or Master's degree (BE/BTech/MBA/MS) in Statistics, Computer Science, Mathematics, AI/ML, or related disciplines with an excellent academic record Job Summary :As an AI Decision Science Analyst, you will lead the design, development, and deployment of sophisticated AI agents and multi-modal AI solutions that can autonomously execute complex business workflows. You will leverage cutting-edge Generative AI, Agentic AI frameworks, and Model Context Protocol (MCP) integrations to create intelligent systems that can reason, plan, and act independently to solve complex business challenges across various industries. Your expertise will drive innovation in autonomous AI solutions and deliver transformative value for clients through intelligent agent orchestration and seamless system integrations. Roles & Responsibilities: Advanced Generative AI & Agentic System Development Design and implement sophisticated AI agents using frameworks like AI Refinery, LangChain, AutoGen, CrewAI, and custom agentic architectures Develop multi-agent systems that can collaborate, negotiate, and execute complex workflows autonomously Implement Model Context Protocol (MCP) integrations for seamless communication between AI systems and external tools/APIs Build and deploy Generative AI applications with advanced reasoning, planning, and execution capabilities Leverage Advanced Data Science Techniques: Develop solutions using Computer Vision, Machine Learning, and Large Language Models (LLMs). Define data requirements, clean, aggregate, analyze, and interpret data while conducting data quality assessments. Develop and Implement AI Models: Build and deploy AI models and Generative AI applications. Train and fine-tune LLMs using large-scale datasets to optimize performance and accuracy. Evaluate model performance and implement iterative improvements. Solution Integration and Deployment: Collaborate to integrate AI solutions into end-to-end workflows, ensuring scalability. Utilize cloud platforms like AWS, Azure, or GCP for model development and deployment. Innovation and Knowledge Sharing: Stay updated on advancements in AI and Data Science, exploring innovative techniques and frameworks. Document methodologies and findings for effective knowledge sharing. Qualification Professional & Technical Skills: Must To Have Skills: Expert proficiency in Generative AI, Agentic AI Systems, Model Context Protocol (MCP), LLMs, Multi-Agent Systems, Python, SQL, AI Agent Orchestration frameworks. Cloud & Infrastructure:AWS/Azure/GCP, Docker, Kubernetes, Spark, MLOps pipelines for agentic systems Specialized Knowledge:NLP, Computer Vision, Reinforcement Learning for agent training, Multi-modal AI systems Experience in developing and AI/ML models. Professional & Technical Skills: The ideal candidate will possess deep expertise in agentic AI systems with a proven track record of building autonomous AI solutions that can execute complex business workflows Strong understanding of AI safety, alignment, and governance principles for autonomous systems Experience with enterprise-grade AI agent deployments and production system management This position is based at our Gurugram office with opportunities to lead cutting-edge AI innovation projects About Our Company | Accenture (do not remove the hyperlink)

About The Role Job Title Ind & Func AI Decision Science Analyst - S&C GN Management Level :11 - Analyst Location:Gurgaon Must have skills: Generative AI, Agentic AI Systems, Model Context Protocol (MCP), Large Language Models (LLMs), Multi-Agent Systems, Python, SQL, AI Agent Orchestration Good to have skills: AI Refinery, LangChain, LlamaIndex, AutoGen, Crew AI, Spark, Cloud Platforms (AWS, Azure, GCP), NLP, Computer Vision, Vector Databases, RAG (Retrieval-Augmented Generation), Function Calling, Tool Integration Experience: Minimum 2 years of experience in AI/ML with demonstrated expertise in Generative AI applications and agentic systems, preferably within a consulting environment Educational Qualification: Bachelor's or Master's degree (BE/BTech/MBA/MS) in Statistics, Computer Science, Mathematics, AI/ML, or related disciplines with an excellent academic record Job Summary :As an AI Decision Science Analyst, you will lead the design, development, and deployment of sophisticated AI agents and multi-modal AI solutions that can autonomously execute complex business workflows. You will leverage cutting-edge Generative AI, Agentic AI frameworks, and Model Context Protocol (MCP) integrations to create intelligent systems that can reason, plan, and act independently to solve complex business challenges across various industries. Your expertise will drive innovation in autonomous AI solutions and deliver transformative value for clients through intelligent agent orchestration and seamless system integrations. Roles & Responsibilities: Advanced Generative AI & Agentic System Development Design and implement sophisticated AI agents using frameworks like AI Refinery, LangChain, AutoGen, CrewAI, and custom agentic architectures Develop multi-agent systems that can collaborate, negotiate, and execute complex workflows autonomously Implement Model Context Protocol (MCP) integrations for seamless communication between AI systems and external tools/APIs Build and deploy Generative AI applications with advanced reasoning, planning, and execution capabilities Leverage Advanced Data Science Techniques: Develop solutions using Computer Vision, Machine Learning, and Large Language Models (LLMs). Define data requirements, clean, aggregate, analyze, and interpret data while conducting data quality assessments. Develop and Implement AI Models: Build and deploy AI models and Generative AI applications. Train and fine-tune LLMs using large-scale datasets to optimize performance and accuracy. Evaluate model performance and implement iterative improvements. Solution Integration and Deployment: Collaborate to integrate AI solutions into end-to-end workflows, ensuring scalability. Utilize cloud platforms like AWS, Azure, or GCP for model development and deployment. Innovation and Knowledge Sharing: Stay updated on advancements in AI and Data Science, exploring innovative techniques and frameworks. Document methodologies and findings for effective knowledge sharing. Professional & Technical Skills: Qualification Professional & Technical Skills: Must To Have Skills: Expert proficiency in Generative AI, Agentic AI Systems, Model Context Protocol (MCP), LLMs, Multi-Agent Systems, Python, SQL, AI Agent Orchestration frameworks. Cloud & Infrastructure:AWS/Azure/GCP, Docker, Kubernetes, Spark, MLOps pipelines for agentic systems Specialized Knowledge:NLP, Computer Vision, Reinforcement Learning for agent training, Multi-modal AI systems Experience in developing and AI/ML models. Professional & Technical Skills: The ideal candidate will possess deep expertise in agentic AI systems with a proven track record of building autonomous AI solutions that can execute complex business workflows Strong understanding of AI safety, alignment, and governance principles for autonomous systems Experience with enterprise-grade AI agent deployments and production system management This position is based at our Gurugram office with opportunities to lead cutting-edge AI innovation projects About Our Company | Accenture (do not remove the hyperlink)

About The Role Project Role : Data Science Practitioner Project Role Description : Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values. Must have skills : Data Science Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Science Practitioner, you will be engaged in formulating, designing, and delivering AI and machine learning-based decision-making frameworks and models that drive business outcomes. Your typical day will involve collaborating with various teams to measure and justify the value of AI and machine learning solutions, ensuring that they align with organizational goals and deliver tangible results. You will also be responsible for analyzing data, interpreting results, and providing insights that inform strategic decisions, all while fostering a collaborative environment that encourages innovation and problem-solving. 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 and mentorship within the team to enhance overall performance.- Develop and implement best practices for data analysis and model development to ensure high-quality outputs. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong analytical skills with the ability to interpret complex data sets.- Experience with machine learning algorithms and statistical modeling techniques.- Familiarity with data visualization tools to effectively communicate insights.- Proficient in programming languages such as Python or R for data analysis. Additional Information:- The candidate should have minimum 5 years of experience in Data Science.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world. We unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our 39,000 employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world. Eli Lilly and Company’s US Marketing Consumer Experience Hub delivers data-driven, end-to-end experiences across a myriad of touchpoints to drive positive outcomes for people living with health conditions ranging from diabetes to migraine to stage IV cancer and beyond. The US Consumer Social Media team is leading the way in social listening. A key focus of social listening at Lilly means analyzing the conversations and trends happening not just around a given brand, but also for the industry. The data is then used to help the business make smarter, faster business decisions. Lilly is looking for a social listening analyst to help uncover insights and develop actionable recommendations for how to optimize social media performance at Lilly. The Social Listening analyst will help deliver ongoing social listening reports for business partners via the NetBase social analytics platform. This position will report directly to the BI&A lead at LCCI with a dotted line into the social listening lead on the US Consumer Marketing Social Media team. Responsibilities Social Listening Platform & Industry Knowledge Working knowledge of social listening platforms such as NetBase, Brandwatch, Sprinklr, Spredfast, Crimson Hexagon, Sprout Social, Meltwater, Hoot Suite, Talkwalker Ability to assimilate extensive amounts of detailed data and to see the big picture, providing actionable and influential recommendations. Pharmaceutical Industry Knowledge and the ability to understand data that could impacts Lilly and Lilly brands, what is going on and react quickly. Research Skills: Basic knowledge of research methods and statistics, and qualitative research skills including the ability to interpret unstructured data and translate it into actionable insights Social Media expertise: stay up to date with the latest social media trends and technologies Social Listening and Social Monitoring Social Listening Experience: Leverage technology to proactively explore and discover insights from online conversations made by users to understand “the why” which can inform strategic decision making. Examples include category analysis, competitive analysis or a brand health analysis. Social Monitoring: Leverage social technology to react and respond to topics or specific posts made by users on social networks. Monitoring can tell you the “so what” and enhance brand engagement. Examples include new product launch, campaign launch, crisis management, conference monitoring. Cross-Functional Work Independently research questions or issues. When needed escalate issues for assistance within the broader social listening team. Work within the set service level agreements for US Marketing across all brands as prioritized by social listening lead. Design, conduct and deliver standard and custom social listening and monitoring reports. Ability to recognize opportunities, formulate hypotheses, plan research, identify insights, and drive recommendations relevant to the business goals and objectives. Accountable for deciphering what is important and meaningful data and then communicate a concise story in a way that allows the business to make decisions based off of the communicated reports. Communicates clearly using dashboards, PowerPoint presentations, or simple text depending on the amount of information that needs to be relayed. The position will operate in an agile team concept designed to allow flexibility to execute the above job responsibilities as either dedicated, partially dedicated, and/or working across multiple brands. The incumbent should expect the alignment to a specific brand and/or therapeutic area to change based upon business need and the duration of alignment will vary. Basic Qualifications BA/BS degree with a major in marketing, communications, business, IT or other closely related areas Experience with at least one of the Social Listening Platforms: NetBase, Brandwatch, Sprinklr, Spredfast, Crimson Hexagon, Sprout Social, Meltwater, Hoot Suite, Talkwalker Broad expertise and understanding of digital landscape, digital channels and social media. Collaborative in nature and ability to work across multiple functions. Ability to respect and work effectively with diverse teams. Customer Service mindset. Additional Skills/Preferences Experience gleaning insights that support organizational goals Expert knowledge of social media landscape and a strong interest in emerging technologies Working knowledge of paid social media tactics Naturally curious; inspired by the road less traveled and finding creative solutions that others haven’t considered Analytical by nature, but able to translate data into insights with a story telling mentality Demonstrated commitment going above & beyond to help business partners or system users in solving problems or finding information Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status. #WeAreLilly

About The Role Skill required: Tech for Operations - Artificial Intelligence (AI) Designation: AI/ML Computational Science Sr Analyst Qualifications: Any Graduation/Post Graduate Diploma in Management Years of Experience: 5 to 8 years Language - Ability: English(Domestic) - Advanced What would you do? You will be part of the Technology for Operations team that acts as a trusted advisor and partner to Accenture Operations. The team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. We work closely with the sales, offering and delivery teams to identify and build innovative solutions.The Tech For Operations (TFO) team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. Works closely with the sales, offering and delivery teams to identify and build innovative solutions. Major sub deals include AHO(Application Hosting Operations), ISMT (Infrastructure Management), Intelligent AutomationUnderstanding of foundational principles and knowledge of Artificial Intelligence AI including concepts, techniques, and tools in order to use AI effectively. What are we looking for? Machine LearningMachine Learning AlgorithmsMicrosoft Azure Machine LearningPython (Programming Language)Python Software DevelopmentAbility to work well in a teamWritten and verbal communicationNumerical abilityResults orientation2 CL8 ML Research Engineers:1. Mathematical & Statistical Foundations2. Programming & Software Engineering3. Model Development & Experimentation4. MLOps & Deployment5. Data Engineering & Feature EngineeringML Research Engineers must be adept at:Data wrangling, feature extraction, and data validationWorking with structured, unstructured, and streaming dataCollaborating with data engineers to ensure data quality and availability Roles and Responsibilities: In this role you are required to do analysis and solving of increasingly complex problems Your day to day interactions are with peers within Accenture You are likely to have some interaction with clients and/or Accenture management You will be given minimal instruction on daily work/tasks and a moderate level of instruction on new assignments Decisions that are made by you impact your own work and may impact the work of others In this role you would be an individual contributor and/or oversee a small work effort and/or team Please note that this role may require you to work in rotational shifts Qualification Any Graduation,Post Graduate Diploma in Management

Job Description: Role: Sr. Manager (Data & Analytics) Location: Mumbai (Thane) Mode: WFO Experience: 10 to 16 Years Shift Timings: 05:30 AM to 3:00 PM (IST)- Australian Shifts Notice Period: Immediate to 30 days Note: This is WFO from Thane Location The Senior Manager Data & Analytics will lead data-driven initiatives to enhance operational efficiency, customer experience, and business outcomes in a telecommunications contact center. This role requires strategic oversight of Data & Analytics projects, collaboration with cross-functional teams, and the ability to translate insights into actionable improvements. Key Responsibilities: Lead the delivery of high-impact Data & Analytics projects, ensuring alignment with business objectives and measurable outcomes. Collaborate with CX, Sales, and innovation teams to identify data-driven opportunities for process optimization, cost reduction, and revenue growth. Develop and present compelling business cases, leveraging data insights to justify improvement initiatives. Design and implement Customer Journey Maps and Process Maps to drive optimized, future-state experiences across People, Process, Data, and Technology. Analyze interaction trends across human-assisted channels to inform operational strategies and channel optimization. Create engaging, data-rich visualizations (slides, charts, dashboards) for stakeholders at all levels. Proactively manage project risks, maintain risk registers, and escalate issues as needed. Monitor project progress from ideation through benefits realization, ensuring KPIs are met. Mentor and guide junior team members, fostering a culture of continuous improvement and data-driven decision-making. Required Skills & Qualifications: Experience: Minimum 5 - 7 years of experience in Data & Analytics, Data Sciences, Process Excellence, or Delivery Innovation, with at least 3 years in a senior leadership or management role within a contact center or telecommunications environment. Proven track record of delivering measurable results through data-driven initiatives, including cost savings, revenue growth, or customer satisfaction improvements. Extensive experience leading cross-functional teams and managing complex, high-stakes projects with multiple stakeholders. Demonstrated success in implementing advanced analytics solutions (e.g. Sales / Churn / NPS predictive models, Customer Segmentation,) Experience with using and modelling data on BI tools such as Power BI, Tableau etc. Prior experience in developing and executing data-driven strategies for customer experience optimization, such as reducing average handle time, improving Sales, or enhancing self-service adoption. Experience managing end-to-end project lifecycles, from opportunity identification and business case development to implementation and benefits tracking. Technical proficiency: Advanced proficiency in Excel and PowerPoint for data analysis, visualization, and stakeholder communication. Expertise in system/data analysis and data interrogation, with strong skills in SQL for querying and manipulating large datasets. Proficiency in Python or R for advanced data analysis, statistical modelling, and automation of analytical processes. Hands-on experience with Power BI, Tableau, or similar BI tools for creating interactive dashboards and reports with real-time data integration. Preferred Experience with cloud-based data platforms (e.g., AWS Redshift, Google BigQuery, Azure Synapse Analytics) for managing and analysing large-scale datasets. Familiarity with digital technologies such as Generative AI, Robotic Process Automation (RPA), and Speech Analytics for enhancing contact center operations. Understanding of data governance, data quality frameworks, and compliance standards (e.g., GDPR, CCPA) to ensure secure and ethical data usage. Methodologies & Certifications: Strong knowledge of Lean Six Sigma and Agile methodologies (Scrum). Certified ScrumMaster (CSM) or Lean Six Sigma Green certification is highly desirable. Experience applying contemporary process improvement frameworks to achieve operational excellence. Education: Bachelor’s degree in data science, Business Analytics, Statistics, Computer Science, or a related field. Interested candidate kindly apply or share your resume to deeksha.sharma@concentrix.com

Role Purpose The purpose of this role is to increase revenue, maximize process efficiency & cost-effectiveness, and ensure excellent customer experience, through effective supervision of daily operations and personnel, contract compliance, resource optimization and capability development within an account. Do Maximize process efficiency and cost effectiveness through strategic planning, contract compliance and governance mechanisms Strategy Planning with Senior Stakeholders Collaborate with leaders to provide strategic and operational plans associated with the account Plan the strategy for the coming years by identifying new geographies for alternate revenue streams Ensure a deep enough understanding of clients individual experiences to head off potential issues before they become problems Contract compliance & adherence Ensure all SLA parameters are met in the account and maintain a green card at all times Review and drive appropriate actions/ systemic changes on internal and external audit findings to ensure no major non-compliances are cited Monitor and review the account on various delivery parameters to ensure quality delivery as per budget and timelines Delivery governance in the account Understand customer goals and key performance metrics and ensure exceeding those goals throughout the project Ensure a green card for all accounts in terms of performance and quality Monitor and review delivery dashboards/ MIS across accounts to track progress and identify potential red flags Participate and share account performance across operational, quality and fulfillment parameters with internal and external stakeholders Lead and manage project escalations, potential risks or early warning signs on project delivery to eliminate any revenue leakage Ensure regular invoicing as per the contract terms and condition Forecast and track key account metrics Invoicing Timely submission of invoices to the client as defined in the SOW Provide information required and resolve any invoicing issues raised by the client Collect and analyze statistics (costs, customer service metrics etc.) Assume responsibility of budgeting and tracking expenses Ensure outstanding performance against key metrics mentioned in the agreement Regular cadence around contract compliance Evaluate performance with key metrics (accuracy, customer service metrics etc.) Set direction for the team, track progress against targets through regular cadence calls and course correct as require Drive the focus of the team on quality and adherence to contract compliance processes Drive and implement structured cadence around quality, both process and transactional Cadence with delivery lead to ensure margins are met and the account numbers are at par to what is committed Weekly calls with WFM to ensure resource optimization, compliance to the manpower numbers agreed in the contract, future planning in case of ramp ups etc. Resource Allocation & Retention Conduct effective resource planning to maximize the productivity of resources (people, technology etc.) Review and monitor resource planning and fulfillment in line with account requirements and costs of delivery Optimize manpower and minimize leakages by working closely with delivery head Ensure retention by offering relevant trainings and certifications of all allocated resources Lead one-on-one floor connect and other engagement activities to improve stickiness of the delivery team Collaborate and influence internal key stakeholders to manage and resolve issues to ensure fulfillment and flawless delivery of projects Mandatory Skills: Financial Planning & Analysis. Experience: 8-10 Years.

Job Overview:  We’re seeking a skilled Senior Data Analyst to lead analytics initiatives in our organization. This role will focus on uncovering insights from sales, inventory, pricing, and customer data to drive strategic decisions and operational improvements. You’ll work closely with cross-functional teams and present clear, actionable insights to leadership. Key Responsibilities Analyse retail sales, inventory, customer behaviour, and pricing performance Build dashboards and reports (Power BI/Tableau) for business KPIs Lead demand forecasting, product performance, and assortment analysis Collaborate with marketing, merchandising, and supply chain teams Mentor junior analysts and ensure data accuracy and quality Present findings and recommendations to senior management Requirements · Bachelor's/Master’s in Data Science, Statistics, or related field · 5+ years in data analysis, with 3+ years in retail/wholesale analytics · Strong experience with data visualization tools (Power BI, Tableau, etc.) · Solid understanding of retail KPIs, sales metrics, and inventory data · Experience with POS, ERP, and retail analytics platforms · Knowledge of cloud platforms (e.g., Snowflake, BigQuery) · Experience with retail forecasting and customer segmentation · Background in omni-channel or eCommerce environments

Skills: Advanced SQL, Tableau, Power BI(Good to have), Python(Secondary) Experience: 3+Years Work Mode: Remote Shift Timing: 3PM IST to 12AM IST Responsibilities: Lead data-driven recommendations and insights to support strategic projects across Central Operations Lead cross-functional teams in specific initiatives; recognizes dependencies between teams; drive and clarify ownership of those dependencies Understand the business, track operational performance, provide insights and recommendations Support company-wide programs through ownership of analytical projects Establish strong working relationships with peers in other Global Operations teams and cross-functional partners (sales leadership, finance, sales operations, systems) to achieve objectives Build dashboards and automated reports, working proficiently with data visualization and querying/analysis tools (e.g., Tableau, SQL, Python) Own data tables, and work with stakeholders to ensure available data is accurate, consistent, and timely Own technical implementations and documentation associated with datasets and strive for 100% accuracy Comfortably identify and frame specific business problems; creates hypotheses, builds key analyses, and develops recommendations; gains alignment with stakeholders for implementation. Independently manage expectations from stakeholders; manages deadlines/timeframes for larger initiatives and projects with minimal guidance on prioritization or dependencies Preferred Qualifications: BS degree in a quantitative discipline (statistics, operations research, computer science, information engineering, engineering, applied mathematics, economics, business analytics, etc) 2+ years of experience working with data in a business setting, including data management, process execution, operations, reporting, or analytics. 4+ years of experience in Tableau/PowerBI and SQL 2+ years of experience in Python Exceptional analytical and technical skills, with clear attention to detail Ability to leverage numbers and insights to influence & drive sound decision making

"Are you passionate about solving logical problems and working through challenging math? Turing is looking for PhD-level researchers in mathematics to test the reasoning capabilities of large language models (LLMs). You’ll create math problems, analyze model responses, and identify gaps in logic or understanding. The goal is to measure how well these models handle abstract thinking and structured problem-solving. What does day-to-day look like? You’ll create math problems, review how the AI solves them, and share insights on how well it understands complex reasoning and logical steps. You’ll take on tasks such as: Find the number of permutations of 10 elements that consist only of exactly 3 disjoint cycles. How many distinct convex polyhedra can be formed using exactly 10 vertices such that all faces are triangles and the polyhedron has genus zero? Eligibility Currently enrolled in or have completed a Ph.D. or Postdoctoral in Mathematics, Applied Mathematics, Statistics, or a related field Strong research and analytical skills Able to provide clear, constructive feedback with examples Strong written communication, especially in remote settings Comfortable working independently Stable computer and internet access Note: This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered. Time Commitment & Contract Details Commitments Required: at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week) Engagement type: Contractor assignment/freelancer (no medical/paid leave) Duration of contract: 1 month; [expected start date is next week] Selection Process: Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload. About Turing Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Why work with Turing? Remote work flexibility Work on high-impact AI research projects Possibility of contract extension based on performance Collaborate with experts worldwide to test and refine AI models."

"Are you passionate about solving logical problems and working through challenging math? Turing is looking for PhD-level researchers in mathematics to test the reasoning capabilities of large language models (LLMs). You’ll create math problems, analyze model responses, and identify gaps in logic or understanding. The goal is to measure how well these models handle abstract thinking and structured problem-solving. What does day-to-day look like? You’ll create math problems, review how the AI solves them, and share insights on how well it understands complex reasoning and logical steps. You’ll take on tasks such as: Find the number of permutations of 10 elements that consist only of exactly 3 disjoint cycles. How many distinct convex polyhedra can be formed using exactly 10 vertices such that all faces are triangles and the polyhedron has genus zero? Eligibility Currently enrolled in or have completed a Ph.D. or Postdoctoral in Mathematics, Applied Mathematics, Statistics, or a related field Strong research and analytical skills Able to provide clear, constructive feedback with examples Strong written communication, especially in remote settings Comfortable working independently Stable computer and internet access Note: This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered. Time Commitment & Contract Details Commitments Required: at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week) Engagement type: Contractor assignment/freelancer (no medical/paid leave) Duration of contract: 1 month; [expected start date is next week] Selection Process: Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload. About Turing Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Why work with Turing? Remote work flexibility Work on high-impact AI research projects Possibility of contract extension based on performance Collaborate with experts worldwide to test and refine AI models."

"Are you passionate about solving logical problems and working through challenging math? Turing is looking for PhD-level researchers in mathematics to test the reasoning capabilities of large language models (LLMs). You’ll create math problems, analyze model responses, and identify gaps in logic or understanding. The goal is to measure how well these models handle abstract thinking and structured problem-solving. What does day-to-day look like? You’ll create math problems, review how the AI solves them, and share insights on how well it understands complex reasoning and logical steps. You’ll take on tasks such as: Find the number of permutations of 10 elements that consist only of exactly 3 disjoint cycles. How many distinct convex polyhedra can be formed using exactly 10 vertices such that all faces are triangles and the polyhedron has genus zero? Eligibility Currently enrolled in or have completed a Ph.D. or Postdoctoral in Mathematics, Applied Mathematics, Statistics, or a related field Strong research and analytical skills Able to provide clear, constructive feedback with examples Strong written communication, especially in remote settings Comfortable working independently Stable computer and internet access Note: This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered. Time Commitment & Contract Details Commitments Required: at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week) Engagement type: Contractor assignment/freelancer (no medical/paid leave) Duration of contract: 1 month; [expected start date is next week] Selection Process: Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload. About Turing Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Why work with Turing? Remote work flexibility Work on high-impact AI research projects Possibility of contract extension based on performance Collaborate with experts worldwide to test and refine AI models."

Primary Responsibilities: Maintaining forecast models for healthcare financial forecasting Understand and interpret the key drivers of health care trends; projecting expected revenue and cost Supporting cross-business analytics (Commercial, Medicare, & Medicaid) in developing consistent and appropriate modeling Conducting in-depth data extractions and analyses to provide actionable insights and drive decision-making Identifying and exploring new areas for analytical development in partnership with key stakeholders Developing high-quality written communications, persuasive presentations, and compelling deliverables tailored to client needs Designing analytics and extracting data leveraging technical skills in R, Python, Excel, SAS, and SQL Mentoring junior team members and training sessions to build internal capabilities Reviews work performed by others and provides recommendations for improvement. Lead analysts in to support and enhance the forecasting & reporting requirements of various clients Identify inefficiencies in process and models and proactively take steps to implement changes Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelors degree in Mathematics, Statistics, Science, Engineering, Economics, or another related technical field from an accredited college or university Total relevant work experience of 10+ years in Financial or Insurance domain Of which, 5+ years of actuarial or analytics experience in the US healthcare market Experience building analytics models using SAS or SQL or other programming system Extensive experience in building and maintaining Excel based models Experience in designing and executing complex analyses, including data extraction and analysis using R, Python, SQL, SAS, and/or VBA Advanced Proficiency in SAS (Statistical Analysis System) or SQL (Structure Query Language) or other programming system Proven ability to create and maintain efficient and scalable models Proven solid written and verbal communication skills and experience interacting with senior management

"Are you passionate about solving logical problems and working through challenging math? Turing is looking for PhD-level researchers in mathematics to test the reasoning capabilities of large language models (LLMs). You’ll create math problems, analyze model responses, and identify gaps in logic or understanding. The goal is to measure how well these models handle abstract thinking and structured problem-solving. What does day-to-day look like? You’ll create math problems, review how the AI solves them, and share insights on how well it understands complex reasoning and logical steps. You’ll take on tasks such as: Find the number of permutations of 10 elements that consist only of exactly 3 disjoint cycles. How many distinct convex polyhedra can be formed using exactly 10 vertices such that all faces are triangles and the polyhedron has genus zero? Eligibility Currently enrolled in or have completed a Ph.D. or Postdoctoral in Mathematics, Applied Mathematics, Statistics, or a related field Strong research and analytical skills Able to provide clear, constructive feedback with examples Strong written communication, especially in remote settings Comfortable working independently Stable computer and internet access Note: This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered. Time Commitment & Contract Details Commitments Required: at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week) Engagement type: Contractor assignment/freelancer (no medical/paid leave) Duration of contract: 1 month; [expected start date is next week] Selection Process: Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload. About Turing Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Why work with Turing? Remote work flexibility Work on high-impact AI research projects Possibility of contract extension based on performance Collaborate with experts worldwide to test and refine AI models."

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Job Description Role: Pricing General Requirements: Knowledge of mathematics, probability, statistics and Commercial InsuranceBusiness Knowledge of Underwriting process and Insurance pricing methodologies (Conventional and Innovative approaches)Mandatory Requirements: Work experience in Pricing for both short tail and long tail classes of commercial insurance business (eg. property and liability lines)Work Experience on pricing modelling using Exposure and Experience rating methodologiesShould have in-depth knowledge in determining LDFs of portfolio, using ILFs and Loss CurvesShould be able to analyse the ILF curves/Loss curves, review them, make adjustments and perform impact analysisShould have built pricing tools/ raters on Excel or RulebookShould have knowledge on Frequency, Severity modelling and Loss cost modellingAdditional good to have requirements: Knowledge of Actuarial tools (EMBLEM/RADAR), data mining tools like SAS/R/Python, automation using VBA macrosKnowledge of ST-8 General Insurance Pricing Actuarial science would be preferableWork experience on GLM modelling – Frequency and Severity Screening parameters: Work experience in General Insurance PricingKnowledge on Pricing – Exposure & Experience rating techniques (familiar with key concepts like LDF, ILF, loss curves) Cleared or appeared for Actuarial Science exam- ST-8: General Insurance PricingExposure to Pricing Modelling (Frequency & Severity modelling) using– Emblem/R/SAS/Python Qualifications Qualifications: Proficient in predictive analytics methodology and its use in the insurance industry.Experienced in use of R, Python, and other open-source languages. Familiarity with AWS, SAS and Willis Towers Watson modeling software preferred.Working knowledge of P&C insurance marketplace in the United States and the Independent Agent channel specifically. Including an understanding of best practices and the competitive landscape.

Job Description : You are passionate about cutting-edge technology and keen on applying new AI/ML algorithms and approaches. You are analytically driven, intellectually curious, and experienced leading the development and implementation of data and analytic solutions to solve challenging business problems. You have excellent understanding of web frameworks for quickly showcasing the features and functionalities of the solution. You enjoy collaborating with other data scientists to crack hard to solve problems with AI/ML and seeing it deployed in-market and generating value for Guardian. You enjoy collaborating with a multi-disciplinary team including data engineers, business analysts, software developers and functional business experts and business leaders. You have: • 8+ years of experience in Statistics, Computer Science, Engineering, Applied mathematics or related field • 5+ years of hands-on ML modeling/development experience • Solid understanding of data analysis and statistical modeling. • Solid experience with web frameworks like Streamlit, Flask, Django etc • Knowledge of a variety of machine learning techniques (clustering, decision tree, bagging/boosting artificial neural networks, etc.) and their real-world advantages/drawbacks. • Demonstrated track records in experimental design and executions • Hands-on experience with data wrangling including fuzzy matching and regular expression, distributed computing and applying parallelism to ML solutions • Strong programming skills in Python • Solid background in algorithms and a range of ML models • Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level • Excellent analytical and problem-solving abilities with superb attention to detail • Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success Job Description : You are pa ssion ate about cutting-edge technology and keen on apply ing GenAI algori t hms and approaches . Yo u a re analytical ly driven, inte l lectually cur iou s, and experienced leading the development and implementation of data and analytic solutions to solve challenging business problems. You are mostly an Individual Contributor who enjoy s crack ing hard to solve problems with recent LLMs and seeing it deployed in-market and generating value for Guardian. You enjoy collaborating with a multi-disciplinary team including data engineers, business analysts, software developers and functional business experts and business leaders. You have demonstrated track record of managing data science teams and working with business leaders. You have: PhD with 6+ years of experience, Master's degree with 8+ years of expe rienc e, or B achel or's degree with 10+ years of experience in Computer Science, Engineering, A pplied mathem atics 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.) and their real-world advantages/drawbacks. Demonstrated track records in experimental design and executions Strong ski lls i n Python , PyTorch , Langchain , LangGraph etc Solid background in algorithms and a range of ML models Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level Excellent analytical and problem-solving abilities wit h superb attention to detail Proven leadership in providing tec hnical le adership and mentoring to data scientists and strong management skills with ability to monitor /track performance for enterprise success Location: This position can be based in any of the following locations: Chennai, Gurgaon For internal use only: R000107556

"Are you passionate about solving logical problems and working through challenging math? Turing is looking for PhD-level researchers in mathematics to test the reasoning capabilities of large language models (LLMs). You’ll create math problems, analyze model responses, and identify gaps in logic or understanding. The goal is to measure how well these models handle abstract thinking and structured problem-solving. What does day-to-day look like? You’ll create math problems, review how the AI solves them, and share insights on how well it understands complex reasoning and logical steps. You’ll take on tasks such as: Find the number of permutations of 10 elements that consist only of exactly 3 disjoint cycles. How many distinct convex polyhedra can be formed using exactly 10 vertices such that all faces are triangles and the polyhedron has genus zero? Eligibility Currently enrolled in or have completed a Ph.D. or Postdoctoral in Mathematics, Applied Mathematics, Statistics, or a related field Strong research and analytical skills Able to provide clear, constructive feedback with examples Strong written communication, especially in remote settings Comfortable working independently Stable computer and internet access Note: This position is open only to candidates who have completed or are currently pursuing a Ph.D.; applications that do not meet this criterion will not be considered. Time Commitment & Contract Details Commitments Required: at least 4 hours per day and minimum 20 hours per week with 4 hours of overlap with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week, or 40 hrs/week) Engagement type: Contractor assignment/freelancer (no medical/paid leave) Duration of contract: 1 month; [expected start date is next week] Selection Process: Task-based assessment for shortlisted candidates, followed by a contract offer with defined timelines and workload. About Turing Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies. Why work with Turing? Remote work flexibility Work on high-impact AI research projects Possibility of contract extension based on performance Collaborate with experts worldwide to test and refine AI models."