1971 Statistical Modeling Jobs - Page 20

Data scientists at Thoughtworks apply a deep knowledge of statistics, modeling, machine learning algorithms and data mining techniques. This is coupled with awareness of adjacent areas, to make business value and data insights visible, enabling clear and effective decision making. They are responsible for the strategy, implementation, productionization and articulation of business impact. They collaborate with cross-functional teams and communicate findings to both technical and non-technical stakeholders. They stay up-to-date with industry advancements, ensure data quality and security, and provide guidance to junior team members. As a data scientist at Thoughtworks, you'll work on a range ...

Role & responsibilities Core Technical Functions Downscale and customize meteorological and climate forecasts to specific geographic locations of interest. Analyze and interpret high-resolution weather and climate forecast products in probabilistic terms (e.g., IMD, INCOIS, NCMRWF, ECMWF, WRF,etc), with a focus on high-impact extreme events such as cyclones, storm surges, tsunamis, floods (urban & riverine), extreme rainfall, lightning and heatwaves. Integrate forecast uncertainty, risk, and consequence factors to transform meteorological data into actionable hazard forecasts. Collaborate with AI/ML experts, GIS analysts, and disaster risk professionals for model integration, automation, and...

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...

Department: Digital Location: Gurgaon Work Mode: On-site About the Role: We are looking for a passionate Data Scientist to join our team and drive data-driven insights that improve our products and services. You will analyze complex datasets, build predictive models, and develop algorithms to solve challenging business problems. You will work closely with Platform team, engineers, and other stakeholders to translate data insights into actionable strategies. Responsibilities: • Analyze large datasets to identify trends, patterns, and insights. • Develop and implement machine learning models for prediction, classification, and optimization. • Design and execute experiments to test hypotheses a...

Lead IBM into the future by translating system requirements into the design and development of customized systems in an agile environment. The success of IBM is in your hands as you transform vital business needs into code and drive innovation. Your work will power IBM and its clients globally, collaborating and integrating code into enterprise systems. You will have access to the latest education, tools and technology, and a limitless career path with the world’s technology leader Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Develop and deploy models using CML workspaces, Build CI/CD pipelines for ML lifecycle Integra...

Role And Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes - Coordinate with different functional teams to implement mod...

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...

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...

General Summary: Qualcomms Audio Systems team is seeking a talented and highly motivated engineer specialized in the implementation of Voice AI and Audio solutions. You will work with a team to prototype, optimize, and productize state-of-the-art ML models, ensuring efficient deployment on snapdragon platforms Responsibilities: - Develop, optimize, and deploy Voice AI and audio ML models for audio applications, with a focus on inference efficiency across NPUs, GPUs, and CPUs. - Perform model evaluation, quantization, and compression to enable fast, robust inference on embedded hardware. - Analyze and compare model architectures (such as Diffusion Models, U-Nets, Transformers, BERT, BART, etc...

Key Responsibilities Lead and mentor a team of scientists and engineers to deliver high-quality ML/AI solutions. Own the full ML lifecycle from data exploration and feature engineering to model deployment and monitoring. Architect and implement models for recommendation systems, classification, forecasting, and generative AI use-cases. Collaborate cross-functionally with product, engineering, and MLOps to translate business needs into scalable ML solutions. Leverage LLMs and Retrieval-Augmented Generation (RAG) to build intelligent customer experiences. Champion model performance, interpretability, and reproducibility across varied domains. Contribute to reusable AI/ML tooling, pipelines, an...

Algorithm Development: Design and program integrated software algorithms to structure, analyze, and use data in both structured and unstructured environments. Statistical Modelling: Apply experimental methodologies, statistics, optimization, probability theory, and machine learning to create tools, statistical models, and algorithms using general-purpose software and statistical languages. Insights and Optimization: Develop descriptive, diagnostic, predictive, and prescriptive insights and algorithms to improve product and system performance. ML and Statistical Techniques: Use techniques such as decision trees, logistic regression, Bayesian analysis, NLP, and other methods to design algorith...

Algorithm Development: Design and program integrated software algorithms to structure, analyze, and use data in both structured and unstructured environments. Statistical Modelling: Apply experimental methodologies, statistics, optimization, probability theory, and machine learning to create tools, statistical models, and algorithms using general-purpose software and statistical languages. Insights and Optimization: Develop descriptive, diagnostic, predictive, and prescriptive insights and algorithms to improve product and system performance. ML and Statistical Techniques: Use techniques such as decision trees, logistic regression, Bayesian analysis, NLP, and other methods to design algorith...

You are a Quant Trader/Researcher with at least 3 years of experience in the Indian market. As part of our dynamic trading team in Gurgaon, you will be responsible for designing, implementing, and executing data-driven trading strategies across various asset classes. Your role will involve developing, backtesting, and deploying algorithmic trading strategies using historical and real-time market data. You will also monitor and manage the performance of live strategies, optimize models, and conduct quantitative research to enhance existing models. Collaboration with developers and researchers is crucial to enhance trading infrastructure, data pipelines, and execution systems. Risk analysis an...

As a Pricing Strategy Analyst at our company located in Hyderabad, India, you will be responsible for developing and refining pricing strategies to maximize revenue and optimize costs. You will act as a subject matter expert on interchange and acquiring economics, utilizing your expertise in card network pricing structures. Your role will involve building scalable pricing models using Python/R, SQL, and Excel VBA, as well as transitioning existing Excel models to automated, data-driven frameworks. Analyzing merchant statements and processor fees to identify optimization opportunities will be a key aspect of your responsibilities. You will collaborate with U.S. Pricing and Finance teams to pr...

As the Vice President of Data, you will be a key member of our executive team, responsible for shaping our organization's data strategy and fostering a culture of data-driven decision-making. Your role will involve defining and executing enterprise-wide data analytics strategies, leading a high-performance analytics team, and driving the organization's transition to a data-first culture. Collaborating closely with senior leaders, product owners, and operations teams, you will identify analytical needs and deliver high-impact solutions. In this position, you will oversee the design and deployment of advanced analytics solutions, such as machine learning models, predictive analytics, and data ...

The Data Science Analyst role is a developing professional position within the GWFO team, focusing on applying specialized knowledge in machine learning, statistical modeling, and data analysis. This role involves monitoring, assessing, analyzing, and evaluating processes and data to drive business outcomes and generate actionable insights through advanced analytics. The Data Science Analyst will work on identifying opportunities to enhance business decision-making capabilities, automate processes, and develop innovative AI solutions. Key Responsibilities: - Gather and analyze operational data from various stakeholders to assess past business performance and identify areas for improvement. -...

Skill required: Delivery - Credit Risk Modeling Designation: I&F Decision Sci Practitioner Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years About Accenture 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, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. ...

Aera Technology is the Decision Intelligence company. We deliver innovation and services that enable enterprises to operate sustainably, intelligently, and efficiently. Our platform, Aera Decision Cloud, integrates with your existing systems to digitize, augment, and automate decisions in real-time. Aera helps enterprises around the world transform decision-making delivering millions of recommendations that have resulted in significant revenue gains and cost savings for some of the worlds best-known brands. Responsibility Model Development : Assist in designing, implementing, and testing mathematical models for optimization problems (e.g., linear programming, integer programming, mixed-integ...

About The Role Management Level: - Ind & Func AI Decision Science Consultant Level 9 Location: Gurgaon / Bangalore / Mumbai / Hyderabad Must-have skills Marketing Analytics, Data Driven Merchandizing (Pricing/Promotions/Assortment Optimization), Statistical Timeseries Models, Store Clustering Algorithms, Descriptive Analytics, State Space Modeling, Mixed Effect Regression, NLP Techniques, Large Language Models, Azure ML Tech Stack, SQL, R, Python, AI/ML Model Development, Cloud Platform Experience (Azure/AWS/GCP), Data Pipelines, Client Management, Insights Communication Good to have skills: Non-linear Optimization, Resource Optimization, Cloud Capability Migration, Scalable Machine Learning...

Your Role We"re looking for a dynamic professional Cloud Initiative Lead with expertise in AWS, Risk Analytics , and cross-functional leadership to drive strategic initiatives across departments. The ideal candidate will lead planning and execution efforts, manage risk, and ensure successful delivery of cloud-based solutions. Lead the planning, execution, and delivery of strategic initiatives across departments. Collaborate with senior leadership to define initiative goals, KPIs, and success metrics. Develop detailed project plans, timelines, and resource allocation strategies. Facilitate cross-functional collaboration and communication to ensure alignment and accountability. Identify risks ...

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 : Google Cloud Platform Architecture Good to have skills : NA Minimum 18 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Technology Architect, you will design, develop, and deliver advanced analytics and machine learning solutions leveraging Google Clouds AI/ML capabilities. You will define models and workflows to meet performance, scalability, and accuracy requirements, ensuring busine...

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 Operations Good to have skills : NA Minimum 3 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...

About The Role Skill required: Delivery - Credit Risk Modeling Designation: I&F Decision Sci Practitioner Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years About Accenture 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, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than ...

About The Role Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Microsoft Azure IaaS Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application requirements are met, overseeing the development process, and providing guidance to team members. You will also engage in p...

About The Role Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Microsoft Azure IaaS Good to have skills : Microsoft Azure Windows Virtual Desktop Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application requirements are met, overseeing the development process, and providing guidance to team...