1971 Statistical Modeling Jobs - Page 2

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 unde...

About The Role : Job Summary Data Scientist designs, develops, and implements advanced analytics and generative AI models to deliver predictive and prescriptive insights from large-scale structured and unstructured data. This role partners with cross-functional teams to translate business challenges into data-driven solutions, leveraging industry-standard machine learning, generative AI, and data visualization tools to inform confident decision-making and drive innovative product creation. The Data Scientist applies cutting-edge tools and technologies across on-premises and cloud environments (including GCP Vertex AI and IBM Watsonx ) to design descriptive, predictive, and prescriptive solut...

About The Role Skill required: Data Scientist - Data Science Designation: AI/ML Computational Science Manager Qualifications: Any Graduation Years of Experience: 13 to 18 years What would you do? Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Song, Technology, Industry X and Operations services all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 800,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 ...

Dear, Hope you are doing well. Please find the below job description. Kindly share the details along with your Resume, Resignation letter or email or any document relating your Last working day confirmation and to manju@nam-it.com Role: DevOps Engineer with Retail Domain exp Location: Banashankari, Bengaluru 5 Days Onsite Project Skills: 7-10 years max Total IT Expeirence required AI, Statistical Modeling, Machine learning. Retail Domain experience is a must. Confirm your availability for Onsite from Banashankari , Bengaluru Office . YES OR NO? Notice time to Join this project. YES OR NO? Availability time for interview calls? Current CTC and Expected CTC?

We believe that [data science] is more than just a department - it's the driving force behind business decisions and strategies. Our data scientists are a team of innovative thinkers constantly pushing the boundaries of what's possible with data. Theyre armed with access to the latest tools, technologies, and resources to solve complex problems and drive meaningful results. We are looking for a Senior Data Scientist to help us improve our Data Science products and create new applications. AI/ML Engineer responsibilities include designing and developing machine learning and deep learning systems. Running machine learning tests and experiments and implementing appropriate ML algorithms. To suc...

Job Purpose Looking for exceptional Data Scientist with a proven track record of experience in Predictive analytics. Job Responsibilities(JR) : 6 8 Areas Actionable (4-6) Scorecard Building and Modelling Developing analytical models to assess risk profile of a customer / identifying cross-sell opportunities/fraud control for new and existing customers Responsible for development and deployment of various scorecards / models for the credit risk / Retail asset products of the Bank within the specified timelines. Ensure the deployment also is line with Bank’s strategies so as to gain maximum efficiencies. Estimate probability of default arising out of the scorecards and monitor deviation from e...

Key Responsibilities: Data Preprocessing : Clean, transform, and preprocess structured and unstructured data to prepare it for analysis. Predictive Modeling : Design, develop, and deploy predictive models using AI, ML, and Deep Learning algorithms to drive business outcomes. Data Analysis : Identify key features, patterns, trends, and insights from complex data sets to inform business decisions. Collaboration : Work closely with cross-functional project teams to support multiple project tracks and provide data-driven insights. Domain Expertise : Experience working in the Banking or Finance domain is highly desirable. Required Skills: Technical Skills : Hands-on experience with Statistical Mo...

Role Overview: As a Quant Modelling Associate in the Risk Management and Compliance team at JPMorgan Chase, you play a crucial role in identifying and addressing emerging risks that impact the organization, customers, and communities. Specifically, you are part of the Model Risk Governance and Review (MRGR) team, focusing on independent model review and governance activities related to managing Model Risk, particularly within the Corporate & Investment Bank. Key Responsibilities: - Evaluate the conceptual soundness of model specifications, reasonableness of assumptions, and reliability of inputs - Perform independent testing of models by replicating or building benchmark models - Design and ...

Role Overview: As the Manager/Senior Manager Analytics & Insights at Agoda, an online travel booking platform based in Bangkok, Thailand, you will play a crucial role in leading strategic and operational initiatives within the Supply department's Analytics team. Relocation is provided for this position. Key Responsibilities: - Manage, standardize, and validate business case structures for various aspects like product development, headcount, engineering resources, budgets, and strategic roadmap prioritization - Define success metrics, validate experiments, and cultivate an experimental mindset within the teams - Provide a macro-level business intelligence view to identify missed opportunities...

As a Data Analytics Sr Lead Analyst at our company, you will be a strategic professional who stays updated on the latest trends in the field and applies them to your job and the business. You will be among a select few individuals who possess the same level of expertise. Your role will require excellent communication skills to negotiate internally, especially at a senior level. Additionally, you must have developed communication and diplomacy skills to guide, influence, and convince others, including colleagues from different departments and occasional external customers. You will be accountable for significant direct business results and will provide authoritative advice on business operati...

Role Overview: You will be responsible for developing and implementing advanced statistical models, machine learning algorithms, and data mining techniques to analyze complex pharmaceutical data. Additionally, you will perform exploratory data analysis to identify trends, patterns, and insights that can drive business decisions. Your role will involve creating predictive models to forecast demand, optimize supply chain processes, and improve product quality. Furthermore, you will utilize advanced analytics techniques to optimize manufacturing processes, enhance quality control, and improve overall operational efficiency. Your responsibilities will also include exploring and implementing gene...

Role Overview: In a fast-paced, dynamic, and proactive environment, you will be a part of YouTube's Trust Safety team, dedicated to ensuring a safe online experience for users, viewers, and content creators worldwide. Your role involves formulating strategies and implementing solutions for anti-spam analytics and detection at scale within YouTube. You will collaborate with cross-functional teams to address community abuse issues and enhance the overall YouTube platform experience. Key Responsibilities: - Guide the team in performing investigations and applying advanced statistical methods to analyze large data sets from diverse sources. - Lead the team in creating and deploying automated sol...

Role Overview: As an Anti Money Laundering (AML) Independent Validation (IV) analyst at Citi Analytics & Information Management team in Bangalore, you will be responsible for conducting Independent Validation on AML Scenario validation, complex statistical analysis, data visualizations, and data processing based on globally consistent standards and regulatory guidelines. Your role will involve presenting findings in a clear and understandable manner both in writing and verbally, ensuring high levels of integrity, quality, and attention to detail. Key Responsibilities: - Perform Independent Validation of AML Scenarios, KPI reports, AML Cards Scenarios, etc., following the AML Global Methodolo...

As a Specialized Analytics Senior Analyst at Citigroup, you will be a seasoned professional contributing to the development of new techniques and processes for the area. Your role will involve integrating subject matter expertise and industry knowledge within a defined area, requiring a deep understanding of how areas collectively integrate within the sub-function. Your analytical skills will be crucial in filtering, prioritizing, and validating complex material from multiple sources. Key Responsibilities: - Work with large and complex data sets to evaluate and support the implementation of business strategies - Identify and compile data sets using tools like SQL and Access to predict and me...

Role Overview: As an experienced Analytics Lead at Amber, your primary responsibility will be to drive data-driven decision-making, optimize business processes, and enhance analytical capabilities. You should have a strong foundation in data analytics, ETL, data visualization, and predictive modeling. Your expertise in SQL, Python, Tableau/Metabase, and cloud-based data solutions (AWS/Redshift) will be crucial for this role. Key Responsibilities: - Design, develop, and maintain scalable data infrastructure and analytics frameworks. - Oversee the ETL process to ensure high-quality and structured data pipelines. - Manage and optimize databases and data warehouses for performance and efficiency...

Role Overview: You will be working within the telecom domain consulting division at Infosys as a Product Modeller. Your main responsibility will be to interact effectively with client executives to understand market requirements and translate them into logical product models for implementation in EPC. Key Responsibilities: - Implement experience in any industry leading COTS package for PLM encompassing EPC and CPQ - Obtain TMForum certification in Information Framework (at least Foundation Level/Level 1) - Work with UML to create Class Diagrams - Use tools like MS Visio, MS PowerPoint, Draw.io, PlantUML to create Class Diagrams and detailed design specifications - Understand BSS/OSS landscap...

Who are we Myntra is India's leading fashion and lifestyle platform, where technology meets creativity. As pioneers in fashion e-commerce, we've always believed in disrupting the ordinary. We thrive on a shared passion for fashion, a drive to innovate to lead, and an environment that empowers each one of us to pave our own way. We're bold in our thinking, agile in our execution, and collaborative in spirit. Here, we create MAGIC by inspiring vibrant and joyous self-expression and expanding fashion possibilities for India, while staying true to what we believe in. We believe in taking bold bets and changing the fashion landscape of India. We are a company that is constantly evolving into newe...

Role & responsibilities - Translate real-world problems into well-structured mathematical/statistical models - Design and implement algorithms using linear algebra, optimization, and probability theory - Develop predictive and classification models using ML techniques (e.g., regression, trees, neural networks, clustering) - Conduct exploratory data analysis and feature engineering on large datasets - Use hypothesis testing, inferential statistics, and confidence intervals to validate results - Collaborate with product and engineering teams to integrate models into production pipelines Required Skills & Competencies 1. Mathematics & Statistics: - Strong understanding of Linear Algebra, Multiv...

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...

Salary : 30 to 45 LPA Exp: 7 to 12 years Location :Mumbai Only Notice: Immediate to 30 days..!! Roles & responsibilities: 7+ 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 innovative data and machin...

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 : 20 to 35 LPA Exp: 3 to 8 years Location :/Gurugram/Bangalore/Pune 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 innovative dat...

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...

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development ...