{"schemaVersion":"jobsearcher.job.v1","id":"be6bd6a44fb2b51696a8392e","url":"https://jobsearcher.com/jobs/be6bd6a44fb2b51696a8392e","canonicalUrl":"https://jobsearcher.com/jobs/be6bd6a44fb2b51696a8392e","title":"Lead Data Scientist","description":"Role descriptionData Scientist / NLP Analyst - Mid-Level (6+ Years Experience)Overview6+ years of related data sciences work experience.Minimum of 1–3 years of experience in Data Sciences, AI/ML engineering Experience with vector databases, data pipelines, and retrieval systems with experience in designing and executing end-to-end experimentsDeep Experience in RAG, LLMs, GenAI, Embeddings, Prompt Engineering and Agentic AI.Strong problem-solving skills and eagerness to learn new AI techniques and frameworks.Domain expertise in Asset Management (Preferable)Key ResponsibilitiesDesign, develop, and deploy machine learning models that solve real-world problems.Extract, clean, and preprocess large, unstructured datasets from various internal and external sources.Conduct deep-dive analyses to identify hidden trends, anomalies, and patterns that drive strategic decision-making.Build, train, and validate predictive models and machine learning algorithms (e.g., regression, classification, clustering, NLP).Build Conversational Platform leveraging LLMs, RAG, GenAI etc.,Mentor, coach, train, and develop data scientists / analysts. Proactively expand knowledge of business and analytics and shares with team members.Required QualificationsExperience: 6+ years of professional experience in data sciences, AI/ML Development, or a closely related field.Education: Master’s degree in Computer Science, Data Science, Engineering, or a quantitative field.Problem Solving: Demonstrated ability to apply analytical skills to complex, ambiguous problems and translate insights into actionable engineering solutions.Other detailsSalary range $63000 to $134500","company":"Mphasis","rawCompany":"mphasis","city":"Ny","state":"WAL","isRemote":false,"isActive":false,"createdAt":"2026-06-17T04:22:46.473Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Lead Data Scientist","description":"Role descriptionData Scientist / NLP Analyst - Mid-Level (6+ Years Experience)Overview6+ years of related data sciences work experience.Minimum of 1–3 years of experience in Data Sciences, AI/ML engineering Experience with vector databases, data pipelines, and retrieval systems with experience in designing and executing end-to-end experimentsDeep Experience in RAG, LLMs, GenAI, Embeddings, Prompt Engineering and Agentic AI.Strong problem-solving skills and eagerness to learn new AI techniques and frameworks.Domain expertise in Asset Management (Preferable)Key ResponsibilitiesDesign, develop, and deploy machine learning models that solve real-world problems.Extract, clean, and preprocess large, unstructured datasets from various internal and external sources.Conduct deep-dive analyses to identify hidden trends, anomalies, and patterns that drive strategic decision-making.Build, train, and validate predictive models and machine learning algorithms (e.g., regression, classification, clustering, NLP).Build Conversational Platform leveraging LLMs, RAG, GenAI etc.,Mentor, coach, train, and develop data scientists / analysts. Proactively expand knowledge of business and analytics and shares with team members.Required QualificationsExperience: 6+ years of professional experience in data sciences, AI/ML Development, or a closely related field.Education: Master’s degree in Computer Science, Data Science, Engineering, or a quantitative field.Problem Solving: Demonstrated ability to apply analytical skills to complex, ambiguous problems and translate insights into actionable engineering solutions.Other detailsSalary range $63000 to $134500","datePosted":"2026-06-17T04:22:46.473Z","dateModified":"2026-06-17T04:22:46.473Z","hiringOrganization":{"@type":"Organization","name":"Mphasis","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Ny","addressRegion":"WAL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"be6bd6a44fb2b51696a8392e"},"url":"https://jobsearcher.com/jobs/be6bd6a44fb2b51696a8392e"}}