2920 Statistical Modeling Jobs - Page 33

Senior Data Analyst-29059 PositionFTE, remote, IndiaAvailability-Immediate-1 weekOverlap4 hours with PST(Pacific Standard Time)Candidate proficiency levelSenior(8+)Requirements:5+ years of hands-on technical experience in a high growth environment.Proficiency in SQL for deriving insights.Proficiency in Python is a plus.Data-driven, structured, and solution-oriented with extensive experience in building rigorous experiments.Excellent interpersonal skills and the ability to explain complex data clearly to stakeholders at all levels.You have an insatiable curiosity and are biased toward action. Location - Chandigarh,Dadra & Nagar Haveli,Daman,Diu,Goa,Haveli,Jammu,Lakshadweep,Nagar,New Delhi,Pud...

Roles and Responsibility Develop and implement spend analytics strategies to drive business growth and improvement. Collaborate with cross-functional teams to identify areas of cost reduction and process optimization. Analyze large datasets to extract insights on spending trends and patterns. Design and maintain dashboards and reports to track key performance indicators. Provide data-driven recommendations to stakeholders on strategic initiatives. Ensure compliance with regulatory requirements and internal policies. Job Requirements Strong understanding of spend analytics principles and practices. Experience with data analysis tools such as SQL and Tableau. Excellent communication and proble...

Roles and Responsibility Lead data science projects from initiation to delivery, ensuring timely completion and meeting client expectations. Collaborate with cross-functional teams to identify business problems and develop solutions using data science techniques. Develop and implement data models, algorithms, and machine learning techniques to drive business growth. Manage and mentor a team of data scientists, providing guidance on best practices and career development. Work closely with clients to understand their needs and provide tailored solutions using data science tools and technologies. Stay up-to-date with industry trends and emerging technologies in data science, applying this knowl...

Description oGenerative AI ?Experience in developing Generative AI based applications. ?Knowledge of various GenAI techniques and frameworks. oPython oMachine Learning model development and deployment. oAzure AI services oOptional skills but good to have ?SQL ?API development Named Job Posting? (if Yes - needs to be approved by SCSC) Additional Details Global Grade C Level To Be Defined Named Job Posting? (if Yes - needs to be approved by SCSC) No Remote work possibility No Global Role Family 60236 (P) Software Engineering Local Role Name 6504 Developer / Software Engineer Local Skills 57684 Azure AI Languages RequiredEnglish Role Rarity To Be Defined

We are looking for a skilled Data Science Manager with 6 to 11 years of experience to join our team at Accenture Solutions Pvt Ltd, located in [location to be specified]. The ideal candidate will have a strong background in data science and AI. Roles and Responsibility Lead the development and implementation of data-driven solutions using AI and machine learning techniques. Collaborate with cross-functional teams to design and deploy scalable data pipelines and architectures. Develop and maintain large-scale data systems and infrastructure to support business intelligence and analytics. Design and implement predictive models and algorithms to drive business growth and improvement. Work close...

As an experienced candidate with 15 to 23 years of experience, you will be expected to handle a range of responsibilities while utilizing various tools and programming languages. Your role will involve: - Proficiency in Python for data analysis, statistical modeling, and machine learning. - Hands-on experience with machine learning libraries such as scikit-learn, Huggingface, TensorFlow, and PyTorch. - Strong understanding of statistical techniques and their application in data analysis. - Expertise in data manipulation and analysis using Pandas and NumPy. - Familiarity with vector databases like ChromaDB, Pinecone, SQL and Non-SQL databases, and experience working with relational and non-re...

You will be joining the team as a Manager or Assistant Manager in Data Analytics. Your role will involve developing analytical frameworks, deriving business insights, and driving data-led decision-making. A strong analytical mindset, business acumen, and end-to-end data project management skills are crucial for this position. - Analyze complex datasets to identify trends, patterns, and actionable insights. - Create dashboards, reports, and visualizations using tools such as Power BI, Tableau, or similar software. - Collaborate with cross-functional teams like Marketing, Sales, Finance, and Operations to understand data requirements and provide solutions. - Build predictive and prescriptive m...

Role Overview: As a member of the USPB Risk team, your primary responsibility will be to develop CCAR/CECL models for unsecured portfolios such as credit cards and installment loans. This includes obtaining and conducting QA/QC on all necessary data, developing segment and/or account level stress loss models, performing required tests like sensitivity and back-testing, and validating/recalibrating models annually with the latest data. Additionally, you will be tasked with delivering thorough model documentation and collaborating closely with cross-functional teams, regulatory agencies, and business stakeholders. Key Responsibilities: - Obtain and conduct QA/QC on all necessary data - Develop...

As an Assistant Manager HR Operations at Carelon Global Solutions (CGS), your primary responsibility will be to advance the workforce analytics strategy using advanced evaluation techniques and sophisticated analytics. You will be responsible for providing expert consultation and recommendations for leveraging data to improve business performance. Your role will involve data mining, analytics, data interpretation, statistical modeling, and developing advanced dashboards to drive improved workforce outcomes. You will work closely with Human Resources, Learning & Development, and the Business to evaluate needs and formulate the analytics plan to optimize workforce outcomes. Additionally, you w...

Role Overview: As a Manager with an advanced degree in a quantitative discipline, you will be responsible for developing risk models and other risk analytics in retail banking and small business lending portfolios. Your role will involve developing statistically derived predictive models, performing customer segmentation and profiling analyses, assisting in the implementation of regulatory and scoring models, and providing analytic support to Standard Chartered businesses globally. Key Responsibilities: - Develop risk models including IRB, IFRS9, Custom Scorecards, and others - Perform decision tree-based customer segmentation and profiling analyses - Assist in the implementation of regulato...

As a Balance Sheet Management Analyst at our company, you will play a vital role in developing new methodologies, data processing tools, and analysis techniques for the Balance Sheet Management function. Your contributions will directly impact Citigroup's Capital and will be crucial for the treasury team's modeling group. This role requires you to focus on statistical and non-statistical methodologies for Deposit duration, Fund Transfer Pricing, Customer Pricing, and other areas relevant to the IRRBB and treasury space. Key Responsibilities: - Provide end-to-end development support for statistical models covering asset classes like Deposits and Fixed Income Securities. - Develop models for s...

As a Data Science Associate Director at Accenture Strategy & Consulting's Global Network Data & AI team in the Resources practice, you will play a crucial role in helping clients grow their business by leveraging analytics to achieve high performance through data-driven insights. You will be part of a global network of talented colleagues experienced in AI/ML/Statistical tools and applications, providing analytically-informed insights to drive better decision-making and improve outcomes for clients. - Solution architect, design, build, deploy, deliver, and monitor advanced analytics models for various client problems. - Interface with clients and account teams to understand business problems...

As a CPU Performance Engineer at AMD's Client CPU Performance Team in Hyderabad, India, your role will involve analyzing performance, driving CPU core hardware and software optimizations, and working on key applications for AMD's notebook and desktop processors. You will collaborate with CPU micro-architects and designers to optimize future CPU cores, analyze competition to identify areas for improvement, characterize workloads, run performance simulations, enhance application tracing techniques, and develop tools for data collection and analysis. Additionally, you will execute post-silicon debug/tuning efforts and interact with various teams to resolve architectural performance issues. Key ...

Key Responsibilities Design, train, and fine-tune LLMs and NLP models using frameworks like LangChain, Hugging Face, Transformers, and PyTorch . Build RAG (Retrieval-Augmented Generation) systems using vector databases (Pinecone, FAISS, Milvus) . Develop scalable ML pipelines for data preprocessing, embeddings, and inference optimization . Collaborate with data engineers and product teams to deploy models on cloud (AWS, Azure, GCP) . Evaluate model performance using metrics such as BLEU, ROUGE, perplexity, and latency. Integrate GenAI APIs (OpenAI, Claude, Bedrock, Gemini, Azure OpenAI) for enterprise use cases. Contribute to research, PoCs, and AI-driven product innovation . Required Skills...

As a Black Belt in Enterprise Business Process Improvement at Iron Mountain, you will play a crucial role in driving strategic process transformation and standardization across Global Business Services (GBS). Your focus will be on optimizing critical processes, establishing best practices, and leveraging automation to align with Iron Mountain's strategic priorities. **Key Responsibilities:** - **Strategic Process Transformation & Standardization:** - Identify, standardize, and automate high-impact processes across GBS, ensuring alignment with enterprise goals and customer experience standards. Leverage best practices to create a unified approach to operational excellence. - **Portfolio Manag...

As an experienced and dynamic Engineering Manager / Senior Engineering Manager at Nielsen Sports in Bengaluru, you will play a crucial role in leading and nurturing a team of talented AI/ML engineers. Your primary responsibility will be to guide the team's technical direction, foster their growth, and ensure the successful delivery of projects leveraging sophisticated AI to analyze complex multimedia sports data. **Key Responsibilities:** - **Team Leadership & Development:** Lead, manage, and mentor a team of AI/ML software engineers, fostering a culture of innovation, collaboration, ownership, and continuous learning. Drive recruitment, onboarding, performance management, and career develop...

As a Specialized Analytics Senior Analyst at Citi, you will be a seasoned professional contributing to the development of new techniques and processes within the data analytics field. Your role involves integrating subject matter and industry expertise, requiring a deep understanding of how areas collectively integrate within the sub-function to contribute to the objectives of the overall business. With good analytical skills, you will evaluate complex issues and weigh various alternatives to make informed decisions. Your communication and diplomacy skills will be crucial in assuming informal/formal leadership roles within teams and coaching new recruits. - Work with large and complex data s...

Job Description: As a Senior Data and Applied Scientist at Pattern, you will collaborate with the Data Science team to analyze and curate data. Your primary responsibility will be to develop and implement machine learning models and statistical techniques to enhance advertising effectiveness on ecommerce platforms. Key Responsibilities: - Design, build, and maintain machine learning and statistical models to optimize advertising campaigns for improved search visibility and conversion rates on ecommerce platforms. - Continuously enhance the quality of machine learning models, focusing on key metrics like search ranking, keyword bidding, CTR, and conversion rate estimation. - Conduct research ...

KEY RESPONSIBILITIES Lead, manage, and mentor a high-performing team of data scientists, ensuring excellence in technical execution and professional development Define, implement, and refine the AI and ML strategy and roadmap, aligning with the organization's long-term goals and evolving business needs Drive the development and deployment of state-of-the-art AI methodologies, leveraging the latest advancements in machine learning, artificial intelligence, and computational techniques Present complex, data-driven insights and strategic recommendations to stakeholders, driving high-level decision-making Develop and nurture relationships with business partners and stakeholders across the organi...

About the Team The Panacea team has a passionate set of engineers across India and US office. We move fast, collaborate closely, and care deeply about quality and ownership. Our mission is to deliver AI/ML-powered developer productivity tools that solve real engineering and support pain points at scale. Why Join Us Build AI-first observability tools that redefine how engineers triage and troubleshoot. Own systems that reduce hours of manual work in engineering and SRE workflows . Collaborate with a tight-knit team of high-ownership engineers who are passionate about impact and innovation. Hybrid work model that supports flexibility and deep focus. Help shape the central AI charter at Nutanix...

As an Actuarial Analyst , you will work alongside and learn from Oliver Wymans industry leaders and other experienced consultants while contributing to a broad range of client projects. You will gain industry exposure with Oliver Wymans clients, which include top tier insurance companies, reinsurance companies, investment banks, law firms, state regulators, and private equity firms. Potential projects may include: Actuarial model development of Life and Annuity products, valuation, and analysis support Supporting the transformation of pre and post actuarial model data and processes, including systems and financial reporting integration, analytics, and workflow Contributing to Asset Liability...

Office/Regions available: Bengaluru, Gurugram As an Actuarial Consultant , you will work alongside and learn from Oliver Wymans industry leaders and other experienced consultants while contributing to a broad range of client projects. You will gain industry exposure with Oliver Wymans clients, which include top tier insurance companies, reinsurance companies, investment banks, law firms, state regulators, and private equity firms. Potential projects may include: Actuarial model development of Life and Annuity products, valuation, and analysis support Transformation of pre and post actuarial model data and processes, including systems and financial reporting integration, analytics, and workfl...

JOB Objective: We are seeking a highly skilled and versatile Senior Machine Learning Engineer who embodies the rare combination of a strong software engineer, a pragmatic data scientist, and an expert in building robust, scalable ML applications. This role is critical to our mission, bridging the gap between cutting-edge ML research and robust, production-ready systems. You will be instrumental in designing, developing, deploying, and maintaining our core AI-powered products and features. This demands a blend of analytical rigor, coding prowess, architectural foresight, and a deep understanding of the entire machine learning lifecycle, from data exploration and model development to deploymen...

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI...

About The Role Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAS Visual Data Mining and Machine Learning Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing innovative solutions, and ensuring that applications are aligned with business objectives. You wil...