2920 Statistical Modeling Jobs - Page 3

Roles and Responsibilities Develop credit risk models using SAS, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile 2+ years of experience in Credit Risk Modelling/Analytics or related field. Strong expertise in Basel II/III regulations, CECL/CCAR requirements under IFRS9...

Roles and Responsibilities Develop credit risk models using SAS, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile 2+ years of experience in Credit Risk Modelling/Analytics or related field. Strong expertise in Basel II/III regulations, CECL/CCAR requirements under IFRS9...

Salary : 20 to 35 LPA Exp: 3 to 8 years Location :/Gurugram/Bangalore/Hyderabad Notice: Immediate to 30 days..!! Roles & responsibilities: 3+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovativ...

Salary : 15 to 35 LPA Exp: 2 to 6 years Location :Pune/Gurgaon/Bangalore Notice: Immediate to 30 days..!! Roles & responsibilities: 2+ years exp on Python , ML and Gen Ai model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data a...

Role Overview We are seeking a highly skilled Data Scientist specializing in Generative AI to design, develop, and deploy next-generation AI/ML solutions. The ideal candidate will have strong experience working with LLMs, multimodal generative models, and end-to-end ML pipelines. This role involves collaborating with cross-functional teams to build innovative GenAI applications that enhance business processes, customer experience, and decision-making. Key Responsibilities Generative AI & Model Development Develop, fine-tune, and evaluate Large Language Models (LLMs) , diffusion models, and other generative architectures. Build custom models for text generation, summarization, Q&A, image gene...

Job Application Link: https://app.fabrichq.ai/jobs/f61b80fb-a1de-4147-a985-e333b90393ff Job Summary: The Principal AI Engineer will lead Generative AI vision, strategy, and architecture. They will architect, build, and improve GenAI applications, automate ML pipelines, and establish reusable frameworks. The role involves building guardrails, compliance rules, and promoting good software engineering practices across the team. Key Responsibilities Drive Generative AI vision, strategy, and architecture Architect, build, maintain, and improve GenAI applications and underlying systems Automate machine learning pipelines, monitor performance and costs Optimize models using techniques such as LoRA/...

Position Overview The Data Scientist will analyze complex datasets to generate insights, build predictive models, and support data-driven decision-making across the organization. This role involves working with cross-functional teams to develop analytical solutions, improve business processes, and drive strategic initiatives through data science, statistical modeling, machine learning, and data visualization. Key Responsibilities 1. Data Analysis & Modeling Collect, clean, and preprocess structured and unstructured data. Develop statistical models, machine learning algorithms, and predictive analytics solutions. Perform exploratory data analysis (EDA) to identify trends, patterns, and insigh...

Position Overview The Data Scientist will analyze complex datasets to generate insights, build predictive models, and support data-driven decision-making across the organization. This role involves working with cross-functional teams to develop analytical solutions, improve business processes, and drive strategic initiatives through data science, statistical modeling, machine learning, and data visualization. Key Responsibilities 1. Data Analysis & Modeling Collect, clean, and preprocess structured and unstructured data. Develop statistical models, machine learning algorithms, and predictive analytics solutions. Perform exploratory data analysis (EDA) to identify trends, patterns, and insigh...

Position Overview The Data Scientist will analyze complex datasets to generate insights, build predictive models, and support data-driven decision-making across the organization. This role involves working with cross-functional teams to develop analytical solutions, improve business processes, and drive strategic initiatives through data science, statistical modeling, machine learning, and data visualization. Key Responsibilities 1. Data Analysis & Modeling Collect, clean, and preprocess structured and unstructured data. Develop statistical models, machine learning algorithms, and predictive analytics solutions. Perform exploratory data analysis (EDA) to identify trends, patterns, and insigh...

Position Overview The Data Scientist will analyze complex datasets to generate insights, build predictive models, and support data-driven decision-making across the organization. This role involves working with cross-functional teams to develop analytical solutions, improve business processes, and drive strategic initiatives through data science, statistical modeling, machine learning, and data visualization. Key Responsibilities 1. Data Analysis & Modeling Collect, clean, and preprocess structured and unstructured data. Develop statistical models, machine learning algorithms, and predictive analytics solutions. Perform exploratory data analysis (EDA) to identify trends, patterns, and insigh...

Position Overview The Data Scientist will analyze complex datasets to generate insights, build predictive models, and support data-driven decision-making across the organization. This role involves working with cross-functional teams to develop analytical solutions, improve business processes, and drive strategic initiatives through data science, statistical modeling, machine learning, and data visualization. Key Responsibilities 1. Data Analysis & Modeling Collect, clean, and preprocess structured and unstructured data. Develop statistical models, machine learning algorithms, and predictive analytics solutions. Perform exploratory data analysis (EDA) to identify trends, patterns, and insigh...

Position Overview The Data Scientist will analyze complex datasets to generate insights, build predictive models, and support data-driven decision-making across the organization. This role involves working with cross-functional teams to develop analytical solutions, improve business processes, and drive strategic initiatives through data science, statistical modeling, machine learning, and data visualization. Key Responsibilities 1. Data Analysis & Modeling Collect, clean, and preprocess structured and unstructured data. Develop statistical models, machine learning algorithms, and predictive analytics solutions. Perform exploratory data analysis (EDA) to identify trends, patterns, and insigh...

Role Overview: The Data Science Analyst role within the GWFO team involves applying specialized knowledge in machine learning, statistical modeling, and data analysis to monitor, assess, analyze, and evaluate processes and data. As a Data Science Analyst, you will identify opportunities to leverage advanced analytics to improve business outcomes, automate processes, and generate actionable insights. Additionally, you will contribute to the development and deployment of innovative AI solutions, including generative AI and agentic AI applications, while collaborating with cross-functional stakeholders. Key Responsibilities: - Gather and process operational data from various cross-functional st...

As a Data Scientist joining our US Startup, you will have the opportunity to work remotely from any location with an internet connection, avoiding long commutes and in-person meetings. If you are passionate about designing and building machine learning solutions using Python, gaining experience in a Startup environment, and are ready to work hard and play harder, this position is tailored for you. **Key Responsibilities:** - Conduct empirical research using public and proprietary data under the guidance of senior researchers - Perform data gathering, cleaning, data modeling, and maintenance of datasets - Prepare and test data using Python (ETL) on a daily basis - Develop dashboards, charts, ...

As a highly seasoned and visionary Director of Data Analytics with over 20 years of experience, your role will involve leading analytics, research, and Generative AI initiatives. Your responsibilities will include: - Strategic leadership and vision: Setting the long-term strategic direction for all data analytics, research, and Generative AI efforts, aligning them with overall business objectives and digital transformation goals. - Generative AI and LLM implementation: Leading the evaluation, integration, and deployment of Generative AI and Large Language Models to create new business value, enhance decision-making, and automate complex processes. - Advanced statistical research: Overseeing ...

As a member of the Spatial Intelligence team at ICE Data Services, you will play a crucial role in the ambitious roadmap for US mortgage and real estate data. Your primary responsibilities will include: - Collaborating with a diverse team of engineers, data scientists, subject matter experts, and customers to develop data products for mortgage capital markets applications. - Engaging in exploratory analysis of data inputs, leading data modeling and management, and shaping end products for customers. - Taking a substantial role in prototyping and implementing new products. - Building a deep understanding of mortgage and real estate markets to evaluate data quality and accuracy. - Defining and...

As a Data Scientist specializing in Healthcare Claims Analytics, your role will involve the following key responsibilities: - Analyze medical, pharmacy, and hospital claims data including CPT, HCPCS, ICD-10, DRG, NPI, etc. - Identify patterns of fraud, waste, and abuse (FWA) within claims data. - Develop predictive models for risk stratification, readmission prediction, and cost forecasting. - Engage in value-based care models, risk adjustment, and population health analytics. In addition, you will be responsible for Data Engineering & Management tasks such as: - Working with large-scale healthcare databases. - Utilizing SQL, Python, R, PySpark, and cloud-based big data solutions like AWS, A...

Role Overview: As an advisor to the Enterprise Headcount Planning team, your role involves leading the development of annual headcount plans based on enterprise strategic imperatives, goals, and controls related to C&B, pyramid, promotions, attrition, and bench volumes. This hands-on position requires you to utilize advanced statistical modeling techniques and cutting-edge technology to create multi-dimensional and configurable headcount plans. Additionally, you will be responsible for generating executive reports and dashboards to support strategic decision-making and may interact with senior executives like Global and Service Line COOs, CHRO, and CFO. Key Responsibilities: - Develop annual...

Role Overview: You will be a Senior Data Scientist specializing in handling massive tabular data on Large Language Models (LLMs) for Mobilewalla, a global consumer data and technology company. Your role will involve leveraging your expertise to extract insights, build predictive models, and drive data-driven decisions, particularly for the Telco Vertical product. Collaborating closely with engineers, you will contribute to the development of large-scale systems to process data in real-time and offline. Key Responsibilities: - Utilize Large Language Models (LLMs) to analyze massive volumes of tabular data efficiently. - Apply advanced statistical techniques and machine learning algorithms for...

As a Manager, Risk Modeling and Monitoring at HSBC, you will play a crucial role in developing IFRS9 models across products and markets. Your responsibilities will include presenting model results to peer review groups and engaging in model independent review, audit, and regulatory deliverables. You will collaborate with business partners to provide business priorities and present model development activities to various review committees. Additionally, you will work on model development best practices and ensure transparent interaction with major stakeholders. Key Responsibilities: - Develop IFRS9 models across products and markets - Present model results to peer review group, country risk t...

As a Data Science Intern at Techieshubhdeep IT Solutions Pvt. Ltd., you will play a crucial role in developing data-driven solutions, performing statistical analysis, and creating machine learning models to address real-world business challenges. Key Responsibilities: - Collect, clean, and preprocess structured and unstructured data to ensure data quality. - Perform exploratory data analysis (EDA) to identify trends, patterns, and insights. - Assist in building, testing, and optimizing machine learning models for predictive analysis. - Handle large datasets and conduct statistical modeling to derive meaningful conclusions. - Document processes, findings, and model performance for future refe...

As a Senior Data Scientist (Artificial Intelligence Machine Learning) at FIS, you will have the opportunity to work on challenging and relevant issues in financial services and technology. You will be part of a team that is open, collaborative, entrepreneurial, passionate, and fun. **Role Overview:** You will be responsible for creating AI-enabled solutions by using the concepts of AIML, GenAI, LLMs, Sentiment analysis, etc. This role involves creating correlations between different data points and performing predictive and preventive analysis. **Key Responsibilities:** - Employ machine learning and statistical modeling to create and enhance data-driven products - Analyze and extract insight...

Role Overview: As a Senior Analyst in the S&C Global Network - AI - Healthcare Analytics team at Accenture, you will be responsible for driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Your role will involve providing strategic advisory services, conducting market research, and developing data-driven recommendations to enhance business performance in the healthcare domain. Key Responsibilities: - Conduct data wrangling and analysis on healthcare claims, provider datasets, and publicly available health data. - Develop predictive models using data science and AI techniques to address client needs. - Utilize na...

As a Group Manager, Product & Business Analytics at Adobe, you will have the opportunity to lead a dynamic team and play a crucial role in shaping the future of digital experiences. Your ambition to excel in a collaborative environment and drive business growth with precision will be key in this role. **Responsibilities:** - Lead and manage a team of analysts and managers, providing guidance, mentorship, and support for their professional growth. - Effectively uplevel and communicate complex analytical findings and insights for senior management and leadership. - Collaborate with product managers, business collaborators, and other teams to identify crucial business questions and define analy...

As a Principal Tech Lead / Data Scientist at Cvent, your role will primarily focus on data analysis, ML modeling, and Generative AI data products. You will be involved in analyzing various areas across the organization such as Sales, Marketing, Technology, & Client Services. Your responsibilities will include understanding end-to-end business processes, independently extracting, preparing, and analyzing data to support business initiatives, developing solutions with minimal support, and presenting and sharing data with other team members and leadership. In this role, you will: - Collaborate with stakeholders at different levels to understand current processes, data being generated, and ident...