10 Predictive Models Jobs

Roles and Responsibility Analyze complex data sets to identify trends and patterns. Develop and implement data models and algorithms to support business decisions. Collaborate with cross-functional teams to design and implement data-driven solutions. Create data visualizations and reports to communicate insights to stakeholders. Design and implement data quality checks and validation processes. Stay up-to-date with industry trends and emerging technologies in data analysis. Job Requirements Strong proficiency in data analysis tools and technologies. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a fast-paced environment. Strong communication and interpersonal skills. Experience working with large datasets and developing predictive models. Familiarity with data visualization tools and techniques.

Job Description Job Profile Risk analyst JO Description and Responsibilities . Use analytical tools and techniques to develop predictive models, perform customer segmentation, and provide analytical support to the bank's businesses . Conduct in-depth data analysis to answer complex business questions, across Risk, Credit and Liabilities domain, delivering actionable insights for decision-making . Develop and implement statistical models to predict risks and support decision-making. . Work on developing and deploying machine learning models, python models to extract valuable insights, predict trends, and enable intelligent automation across various business functions. . Work as per requirements of business leaders to understand their data and AI needs and align analytics initiatives . Person will also collaborate with cross-functional stakeholders to unlock the full potential of data across the organization. . Skills and qualifications . Strong analytical and statistical skills, including experience with modeling and predictive analytics. . Experience in building of scorecards, analytical models in BFSI sector will be necessary . Experience in analytical models for Liability products will be beneficial . Familiarity with the financial services industry . Proficiency in Python for driving Data insights, Data Automation, Data Cleanin Check Your Resume for Match Upload your resume and our tool will compare it to the requirements for this job like recruiters do.

In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your role and responsibilities As an Software Developer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll 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, you'll 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 variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modeling results. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Very good experience on Continuous Flow Graph tool used for point based development Design, develop, and maintain ETL processes using Ab Initio tools. Write, test, and deploy Ab Initio graphs, scripts, and other necessary components. Troubleshoot and resolve data processing issues and improve performance Data Integration: Extract, transform, and load data from various sources into data warehouses, operational data stores, or other target systems. Work with different data formats, including structured, semi-structured, andunstructured data. Preferred technical and professional experience You thrive on teamwork and have excellent verbal and written communication skills. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences

In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your role and responsibilities As an Associate Software Developer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll 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, you'll 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 variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modeling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Develop/Convert the database (Hadoop to GCP) of the specific objects (tables, views, procedures, functions, triggers, etc.) from one database to another database platform Implementation of a specific Data Replication mechanism (CDC, file data transfer, bulk data transfer, etc.). Expose data as API Participation in modernization roadmap journey Analyze discovery and analysis outcomes Lead discovery and analysis workshops/playbacks Identification of the applications dependencies, source, and target database incompatibilities. Analyze the non-functional requirements (security, HA, RTO/RPO, storage, compute, network, performance bench, etc.). Prepare the effort estimates, WBS, staffing plan, RACI, RAID etc. . Leads the team to adopt right tools for various migration and modernization method Preferred technical and professional experience You thrive on teamwork and have excellent verbal and written communication skills. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences

In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your role and responsibilities As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll 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, you'll 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 variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another Document solution architectures, design decisions, implementation details, and lessons learned. Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Preferred technical and professional experience Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus Demonstrate a growth mindset to understand clients business processes and challenges

Introduction In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your role and responsibilities As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll 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, you'll 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 variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 4+ years of experience in data modelling, data architecture. Proficiency in data modelling tools Erwin, IBM Infosphere Data Architect and database management systems Familiarity with different data models like relational, dimensional and NoSQL databases. Understanding of business processes and how data supports business decision making. Strong understanding of database design principles, data warehousing concepts, and data governance practices Preferred technical and professional experience Excellent analytical and problem-solving skills with a keen attention to detail. Ability to work collaboratively in a team environment and manage multiple projects simultaneously. Knowledge of programming languages such as SQL

Analyzing data trends and building predictive models. We are seeking a highly motivated Junior Data Scientist to join our data team. The ideal candidate will be passionate about working with data, uncovering trends, and building predictive models to solve real-world business problems. You will work closely with senior data scientists and analysts to turn raw data into actionable insights. Key Responsibilities: Analyze large datasets to identify trends, patterns, and anomalies. Assist in building, testing, and deploying predictive and statistical models. Collaborate with cross-functional teams to define data requirements and business goals. Perform data cleaning, transformation, and feature engineering tasks. Use data visualization tools to communicate findings effectively. Support ongoing data science projects and contribute to model improvements. Education - B.Tech CS, Data Science

Analyzing data trends and building predictive models. We are seeking a highly motivated Junior Data Scientist to join our data team. The ideal candidate will be passionate about working with data, uncovering trends, and building predictive models to solve real-world business problems. You will work closely with senior data scientists and analysts to turn raw data into actionable insights. Key Responsibilities: Analyze large datasets to identify trends, patterns, and anomalies. Assist in building, testing, and deploying predictive and statistical models. Collaborate with cross-functional teams to define data requirements and business goals. Perform data cleaning, transformation, and feature engineering tasks. Use data visualization tools to communicate findings effectively. Support ongoing data science projects and contribute to model improvements. Education - B.Tech CS, Data Science

Analyzing data trends and building predictive models. We are seeking a highly motivated Junior Data Scientist to join our data team. The ideal candidate will be passionate about working with data, uncovering trends, and building predictive models to solve real-world business problems. You will work closely with senior data scientists and analysts to turn raw data into actionable insights. Key Responsibilities: Analyze large datasets to identify trends, patterns, and anomalies. Assist in building, testing, and deploying predictive and statistical models. Collaborate with cross-functional teams to define data requirements and business goals. Perform data cleaning, transformation, and feature engineering tasks. Use data visualization tools to communicate findings effectively. Support ongoing data science projects and contribute to model improvements. Education - B.Tech CS, Data Science

Analyzing data trends and building predictive models. We are seeking a highly motivated Junior Data Scientist to join our data team. The ideal candidate will be passionate about working with data, uncovering trends, and building predictive models to solve real-world business problems. You will work closely with senior data scientists and analysts to turn raw data into actionable insights. Key Responsibilities: Analyze large datasets to identify trends, patterns, and anomalies. Assist in building, testing, and deploying predictive and statistical models. Collaborate with cross-functional teams to define data requirements and business goals. Perform data cleaning, transformation, and feature engineering tasks. Use data visualization tools to communicate findings effectively. Support ongoing data science projects and contribute to model improvements. Education - B.Tech CS, Data Science