2814 Predictive Modeling Jobs - Page 27

Key Responsibilities: Design, develop, and optimize NLP models for text classification, sentiment analysis, chatbots, and language generation. Work with deep learning models such as Transformers (BERT, GPT, LSTMs) to enhance NLP capabilities. Implement and fine-tune machine learning algorithms for text analytics and information extraction. Collaborate with data engineers and software developers to integrate NLP solutions into real-world applications. Mandatory Key Skillsnatural language processing,BERT,GPT,LSTMs,machine learning,Data Science*

Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy. Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson. Ensure seamless chatbot integration with existing platforms and CRM systems. Work closely with data scientists to improve machine learning models. Must have strong proficiency in Python, deep learning techniques, and chatbot analytics. Mandatory Key Skillspython,deep learning,machine learning,artificial intelligence,algorithms,natural language processing,tensorflow,data science,keras,computer vision,neural networks,opencv,django,image processing,predictive modeling,r,data analytics,flask,Ch...

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation. Mandatory Key Skillsmachine learning,artificial intelligence,data science,python,deep learning,natural language processing,AI research,AI development*

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation. Mandatory Key SkillsAI-driven business models,innovation strategies,regulatory compliance,AI research,data science,AI adoption*

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation. Mandatory Key Skillsmachine learning,data science,deep learning,natural language processing,predictive modeling,data analytics,predictive analytics,Artificial intelligence*

Key Responsibilities:Provide strategic guidance on AI adoption, ethics, and governance within the organization.Advise on AI-driven business models, innovation strategies, and regulatory compliance.Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth.Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning.Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation. Mandatory Key Skillsmachine learning,artificial intelligence,data science,AI research,AI development,AI adoption*

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their busines...

We are looking for a Senior Applied Scientist to support the development of next-generation generative AI powered solutions for Oracle Analytics. You will be responsible for designing new approaches to natural language based interaction with structured data, creating agentic systems for multi-faceted data analysis, developing advanced personalization and customization techniques, and integrating your solutions into intelligent applications for industry verticals. You will conduct in-depth research, produce production-ready code, and collaborate with a cross-functional team to integrate your work into applications and services. This role requires deep expertise in machine learning, data scien...

Develop and enhance AI-driven chatbot solutions to automate customer interactions and optimize response accuracy. Design and implement NLP algorithms using frameworks like Rasa, Dialogflow, or IBM Watson. Ensure seamless chatbot integration with existing platforms and CRM systems. Work closely with data scientists to improve machine learning models. Must have strong proficiency in Python, deep learning techniques, and chatbot analytics. Mandatory Key Skillspython,deep learning,chatbot,machine learning,algorithms,natural language processing,tensorflow,data science,keras,computer vision,neural networks,opencv,django,image processing,predictive modeling,R,data analytics,flask,artificial intelli...

We are currently seeking a Sr. Data Science & AIML, GenAI Lead/Engineer to join our team in Bangalore, Karntaka (IN-KA), India (IN). Job Duties: Job Title: Data Science & AIML, GenAI Lead/Engineer Key Responsibilities: Develop and implement traditional machine learning algorithms. Deploy at least one model in a production environment. Write and maintain Python code for data science and machine learning projects. Minimum Skills Required: Preferred Qualifications: Knowledge of Deep Learning (DL) techniques. Experience working with Generative AI (GenAI) and Large Language Models (LLM). Exposure to Langchain.

In this role, you will be responsible for: - Building & maintaining ETL/ELT pipelines to ensure data accuracy and quality. - Working with large datasets to collect, clean, and prepare data for analysis. - Designing & implementing predictive models and collaborating with Data Science teams. - Creating dashboards & reports using tools like Tableau, Power BI, matplotlib, and Seaborn. - Working with cloud platforms such as AWS, Azure, GCP, and databases like SQL, MongoDB, PostgreSQL, and MySQL. - Collaborating with cross-functional teams to solve business problems using data. Preferred Skills: - Proficiency in Big Data tools like Spark, Hadoop. - Experience with ML Frameworks such as TensorFlow,...

As a Data and Analytics Engineer at PwC, you will focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. You will play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Additionally, as a member of the data science and machine learning engineering team at PwC, you will be responsible for leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. Your tasks will involve developing predictive models, conducting statistical analysis, and creating data visualizations to solve com...

Support business and analytics stakeholders Solve open-ended,business problems basic to advanced analytics hands-on to derive insights from data and/or automate critical processes using analytical techniques Required Candidate profile hands on Exp in SQL and SAS with Open Source Tools build queries for data extraction hands-on exp of latest Analytics Data Visualisation tools Exp in credit card or financial services industry

As an Associate Survey Tabulations Analyst, you will be responsible for providing operational analysis support to the survey function. You will work primarily on managing the generation and delivery of data related to ongoing brand and ad tracking projects and advertising effectiveness studies, including processing of data, deliverable preparation, data analysis, and responses to internal data inquiries. What You’ll Do: Deliver exceptional support including timely/informative responses to internal client service inquiries with sensitivity towards clients’ business objectives/goal. Engage in a wide range of project assignments such as: manipulating and interpreting data, creating deliverables...

Responsibilities: Design, develop, and implement AI/ML models and algorithms. Focus on building Proof of Concept (POC) applications to demonstrate the feasibility and value of AI solutions. Troubleshoot and debug AI/ML models and applications. Stay up-to-date with the latest advancements in AI/ML. Utilize machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) to develop and deploy models. Develop and deploy AI solutions on Google Cloud Platform (GCP). Implement data preprocessing and feature engineering techniques using libraries like Pandas and NumPy. Utilize Vertex AI for model training, deployment, and management. Integrate and leverage Google Gemini for specific AI functio...

Job Description: Modeling and Analytics - - Financial Crime Model Development responsible for development and maintenance of all AML Feeder models as per acceptable model risk practices and defined performance parameters to meet firms AML Risk Coverage, while maintaining operational viability. Skills Required: Critical Thinking Quantitative Development Risk Analytics Risk Modeling Technical Documentation Adaptability Collaboration Problem Solving Risk Management Test Engineering Data Modeling Data and Trend Analysis Process Performance Measurement Research Written Communications Effectively creates a compelling story using data; Able to make recommendations and articulate conclusions support...

AIonOS is looking for ML Engineering Internship to join our dynamic team and embark on a rewarding career journey We are seeking a highly skilled and motivated Machine Learning Engineer to join our dynamic team The Machine Learning Engineer will be responsible for designing, developing, and deploying machine learning models to solve complex problems and enhance our products or services The ideal candidate will have a strong background in machine learning algorithms, programming, and data analysis Responsibilities:Problem Definition:Collaborate with cross-functional teams to define and understand business problems suitable for machine learning solutions Translate business requirements into ma...

As a Data Analyst, you will be responsible for transforming complex data sets into meaningful insights and actionable recommendations for our clients. You will work closely with our team to develop data-driven strategies and help our clients to make informed decisions. Your role will involve data cleaning, data analysis, and data visualization, as well as collaborating with cross-functional teams to identify and solve business problems. In addition to your technical skills, you should be a creative thinker, have effective communication skills, and be comfortable working in a fast-paced and dynamic environment. Requirements: (0-1 year of experience) Graduated in Computer Science or related fi...

Within EY-Parthenons Strategy and Execution sub service line, the Commercial Strategy practice works on the most complex and high-profile commercial strategies, global transactions, and turn-arounds, across a broad portfolio of clients and industry sectors. As an Assistant Manager, you will be a vital member of the team leading and executing value creation engagement by leveraging your deep Commercial Analytics background, along with experience in Conjoint Analysis. This is a fantastic opportunity to be part of a leading firm and develop your career through a broad scope of engagements, mentoring, and learning & development. As an Assistant manager in TSE Commercial Strategy, you will be a v...

About The Role Grade M1 to M3 Reports to: Head Analytics Is a Team leader? No Team Size: -- Role Business Analyst/Sr Business Analyst Business: Not Applicable Department: Analytics Sub-Department Not Applicable Location: Mumbai Role We are seeking a highly analytical and detail-oriented individual to join our team as a Data Analysis and Insights Specialist. In this role, you will be responsible for analyzing complex datasets, extracting meaningful insights, and proposing actionable recommendations to optimize processes and decision-making. Your ability to conduct thorough cost-benefit analyses and effectively communicate findings to stakeholders will be crucial in driving informed business s...

About The Role New or Never Normal Job Title: Internal Audit Team Member Corporate Grade: CA fresher"™s Kotak Overview Kotak Mahindra Bank Limited is an Indian banking and financial services company headquartered in Mumbai, India. It offers banking products and financial services for corporate and retail customers in the areas of personal finance, investment banking, life insurance, and wealth management. At Kotak, we expect more from ourselves, than what anyone else expects of us. This way, we are creating a rewarding and delightful experience every day for our customers. We are an equal opportunity employer and we are opposed to discrimination on any grounds. Overall purpose of role As Kot...

About The Role New or Never Normal Job Title: Internal Audit Team Member Corporate Grade: CA fresher"™s Kotak Overview Kotak Mahindra Bank Limited is an Indian banking and financial services company headquartered in Mumbai, India. It offers banking products and financial services for corporate and retail customers in the areas of personal finance, investment banking, life insurance, and wealth management. At Kotak, we expect more from ourselves, than what anyone else expects of us. This way, we are creating a rewarding and delightful experience every day for our customers. We are an equal opportunity employer and we are opposed to discrimination on any grounds. Overall purpose of role As Kot...

About The Role New or Never Normal Job Title: Internal Audit Team Member Corporate Grade: CA fresher"™s Kotak Overview Kotak Mahindra Bank Limited is an Indian banking and financial services company headquartered in Mumbai, India. It offers banking products and financial services for corporate and retail customers in the areas of personal finance, investment banking, life insurance, and wealth management. At Kotak, we expect more from ourselves, than what anyone else expects of us. This way, we are creating a rewarding and delightful experience every day for our customers. We are an equal opportunity employer and we are opposed to discrimination on any grounds. Overall purpose of role As Kot...

About The Role New or Never Normal Job Title: Internal Audit Team Member Corporate Grade: CA fresher"™s Kotak Overview Kotak Mahindra Bank Limited is an Indian banking and financial services company headquartered in Mumbai, India. It offers banking products and financial services for corporate and retail customers in the areas of personal finance, investment banking, life insurance, and wealth management. At Kotak, we expect more from ourselves, than what anyone else expects of us. This way, we are creating a rewarding and delightful experience every day for our customers. We are an equal opportunity employer and we are opposed to discrimination on any grounds. Overall purpose of role As Kot...

About The Role Grade M3/M4/M5 Role Team Member - Credit Risk Analyst Department Risk Management Reporting Relationship Team Lead Credit Risk Location Mumbai Role Requirements Credit Risk Analytics and Modelling Analyse, model, validate and document various measures of Credit Risk for use in Expected Credit Loss and Capital computations. Hands-on experience in building, implementing, documenting, monitoring, validating, refining models and scorecards in particular for PD, LGD, EAD and related Credit Risk metrics - using statistical methods and / or expert judgement based techniques. In depth understanding of the techniques and functional insights that drive Credit Risk models and the experien...