168 Statistical Modelling Jobs - Page 7

As a Data Scientist specializing in Generative AI & ML Engineering, your primary responsibility will be to research and develop AI algorithms and models. You will be tasked with analyzing data, constructing predictive models, and employing machine learning techniques to address intricate problems. Your proficiency should encompass a range of skills including proficiency in languages/frameworks such as Fast API and Azure UI Search API (React), as well as expertise in databases and ETL tools like Cosmos DB and Data Factory Data Bricks. In addition, you should have a strong command of Python and R, familiarity with Azure Cloud Basics and Gitlab Pipeline, and experience in deploying AI solutions...

As an Assistant Manager, Credit Risk Modeler at Genpact, you will play a crucial role in overseeing the development, enhancement, and validation of credit risk models. Your responsibilities will include ensuring compliance with regulatory standards, driving innovation in risk management practices, and providing analytical support for recommending actions to mitigate risk. You will be working as a consultant for the centralized advanced analytics team of a banking or financial firm, interacting with various business units including risk, finance, and controllership stakeholders. Your role will involve designing, developing, and validating predictive models, conducting rigorous testing and val...

Agoda is an online travel booking platform that offers a wide range of accommodations, flights, and more. With a global network of 4.7M hotels and holiday properties, as well as flights and activities, we aim to connect travelers worldwide. As part of Booking Holdings and based in Asia, our diverse team of 7,100+ employees from 95+ nationalities across 27 markets works collaboratively in an environment rich in creativity and diversity. Our purpose at Agoda is to bridge the world through travel. We believe that travel enhances people's lives by allowing them to enjoy, learn, and experience the world, bringing individuals and cultures closer together, fostering empathy, understanding, and happ...

About Agoda: Agoda is an online travel booking platform connecting travelers with a global network of 4.7M hotels, holiday properties, flights, activities, and more. With 7,100+ employees from 95+ nationalities in 27 markets, we foster a diverse, creative, and collaborative work environment. By innovating through experimentation and ownership, we enhance the travel experiences of our customers. Purpose: Our purpose is to bridge the world through travel, allowing people to enjoy, learn, and experience the amazing world we live in. Travel brings individuals and cultures closer together, fostering empathy, understanding, and happiness. Team Overview: As part of the Supply Analytics team, your r...

Exp in SAS, SQL and large amounts of data US Stakeholder exp Exp of acquisition/account management credit risk models, transactional fraud models, marketing models, collections models, finance models, loss models, Loss forecasting (PD/LGD/EAD/CECL) Required Candidate profile SAS SQL Python Credit risk Credit Card Statistical Modelling Predictive Modelling

As Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. Youll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, youll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, youll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a...

We seek a Digital Marketing Specialist, Mid Level with Marketing Media Mix who shares our passion for innovation and change. This role is critical to helping our business partners evolve and adapt to consumers' personalized expectations in this new technological era. Roles and Responsibilities: Delivery of MMM/ROI projects: Delivery of multiple High Impact ROI projects as described below: Data preparation, harmonization and transformation for model feed Thorough understanding of different types of Media, sales and equity datatypes Media ROI modelling with granular insights at Campaign level, Objectives, Formats and Ad types Promo ROI modelling at granular and retailer level with deep dive in...

Skills Required : SQL, Python, Excel, Analytical problem solving Desirable Skills : Statistical modelling.

Job Title: Data Scientist(5 Positions)/ Lead OR Manager -Data Scientist (3 positions) Experience: Data scientist (8-10 years) / Lead Data scientist(14+ years) Job Location: Whitefield, Bangalore Mode of working: Hybrid Interview Process: First Round: L1-Internal interview Second Round: Assessment shared by us needs to be completed in 48 hours Third Round: Client discussion over the submitted assessment. Final Round: HR Discussion Preferred Domain: Healthcare Insurance/ Insurance agencies / Health Insurance / Any Insurance We are looking for a talented Data Scientist to join our growing team. In this role, you will lead efforts to develop, enhance, and optimize advanced AI and machine learnin...

Your day at NTT DATA The Senior Data Scientist is an advanced subject matter expert, tasked with taking accountability in the adoption of data science and analytics within the organization. The primary responsibility of this role is to participate in the creation and delivery of data-driven solutions that add business value using statistical models, machine learning algorithms, data mining, and visualization techniques. What youll be doing Key Responsibilities: Designs, develops, and programs methods, processes, and systems to consolidate and analyze unstructured, diverse big data sources to generate actionable insights and solutions for client services and product enhancement. Designs and e...

Roles & Responsibilities Displays structured problem solving, application of right tools & techniques to solve open ended problems, Creates productized analytics solutions or frameworks independently. Understand Business & product problems and come up with deep data backed solutions. Root cause analysis and Deep dive analysis of certain product problems Running and maintaining the reporting system, presenting insights at a weekly forum Building templates, dashboards in Excel or on the intranet for operational and management reporting Data extraction as per business team request for Ad hoc analysis Business analysis and understanding Evaluating metrics to be tracked as per business goals, exp...

Responsibilities: Collaborate with business stakeholders to understand data requirements and objectives. Analyse complex data sets to extract valuable insights and trends. Interpret data to identify opportunities for process improvements and business growth. Develop reports, dashboards, and visualisations to communicate findings effectively. Conduct data quality assessments and ensure data integrity across systems. Support data-driven decision-making by providing actionable recommendations. Work with cross-functional teams to implement data solutions that meet business needs. Stay informed on industry trends and best practices in data analysis and business intelligence Qualifications: Bachel...

Exp in SAS, SQL and large amounts of data US Stakeholder exp Exp of acquisition/account management credit risk models, transactional fraud models, marketing models, collections models, finance models, loss models, Loss forecasting (PD/LGD/EAD/CECL) Required Candidate profile SAS SQL Python Credit risk Credit Card Statistical Modelling Predictive Modelling

Required Skills (Technical):- Advanced knowledge of statistical techniques, NLP, machine learning algorithms and deep learning frameworks like TensorFlow, Theano, Keras, Pytorch. Knowledge of work with Pyspark is a must. (Working with Azure Databricks platform is preferred) Advanced knowledge in handling Time Series Data and modelling it with time series algorithms. Knowledge of working with Geospatial data would be preferable. Proficiency with modern statistical modelling (regression, boosting trees, random forests, etc.), machine learning (text mining, neural network, NLP, etc.), optimization (linear optimization, nonlinear optimization, stochastic optimization, etc.) methodologies. Build ...

Requirements 6-10 yrs of Strong experience with SAP UDF configuration and functional setup. Knowledge of statistical modelling concepts used in forecasting. Familiarity with integration to SAP CAR (Customer Activity Repository), F&R, or other planning tools. Good communication and documentation skills. Experience with large-scale retail forecasting systems is a plus. Responsibilities Gather business requirements and translate them into functional specifications for Unified Demand Forecasting. Configure and support SAP UDF modules including demand modelling, forecasting profiles, and integration with planning systems. Analyse demand signals and improve forecast accuracy through system tuning ...

Data Science professional with a proven track record in training Engineering, IT, Diploma, Polytechnic and Technical candidates. With over a 7 yrs of experience in Artificial Intelligence, Machine Learning, Big Data, and Cloud Computing, Specialise in delivering industry-oriented, hands-on training that equips candidates with the technical proficiency required in today's data-driven world.

Key responsibilities Work closely with the broader team do define and execute EDA road map Integrated solution for business based on data driven insights and strategies. Perform advance Statistical and Machine learning modelling exercise to develop descriptive/ predictive/ prescriptive models Perform data visualization and reporting for effective communication of insights generated by modelling exercises Develop basic database queries for data extraction Ability to communicate models and analysis in a clear and precise manner. Promote new learning and technique in the field of Data Science and its application in Insurance. Perform peer reviews and ideation sessions. Experience & Qualificatio...

Exp in SAS, SQL and large amounts of data US Stakeholder exp Exp of acquisition/account management credit risk models, transactional fraud models, marketing models, collections models, finance models, loss models, Loss forecasting (PD/LGD/EAD/CECL) Required Candidate profile SAS SQL Python Credit risk Credit Card Statistical Modelling Predictive Modelling