14879 Data Science Jobs - Page 32

5+ years of work experience with a bachelor's degree or an advanced degree in Computer Science, Information Technology, Engineering, or a related field. • 3+ Experience with building backend services and APIs, including integration with distributed data systems and cloud-native architectures. • 3+ Strong experience in writing efficient, maintainable code for large-scale systems and data-driven applications. • 1+ years of hands-on experience with GenAI technologies including LLMs, prompt engineering, embeddings, fine-tuning, or building RAG (Retrieval-Augmented Generation) pipelines. • Strong programming skills in one or more languages such as Python, Java, or Scala, with a solid foundation i...

Preferred Hyberabad location Job Summary: Seeking a versatile and skilled professional to design, develop, and deploy AI-driven data solutions. This role combines responsibilities across data engineering, data science, and machine learning engineering to deliver actionable insights, scalable ML models, and robust data pipelines that empower business decisions. Key Responsibilities: Design, build, and maintain scalable data pipelines and ETL processes to ingest, process, and store large volumes of structured and unstructured data. Develop and optimize machine learning models and AI algorithms tailored to specific business problems. Analyze complex datasets to extract actionable insights using...

Your Role Must have experience with Machine Learning Model Development Expert Level Proficiency in Data Handling (SQL) Hands-on with Model Engineering and Improvement Strong experience in Model Deployment and Productionlization Your Profile Extensive experience in developing and implementing machine learning, Deep Learning, NLP models across various domains, Strong proficiency in Python, including relevant libraries and frameworks for machine learning, such as scikit-learn, XGBoost and Keras. Ability to write efficient, clean, and scalable code for model development and evaluation. Proven experience in enhancing model accuracy through engineering techniques, such as feature engineering, feat...

Data Science & AI Lead About Our Client: A leading IT and data solutions provider offering services in consulting, systems integration, data science, IoT, and business process outsourcing. The company enables organizations to enhance efficiency, solve complex challenges, and drive digital transformation. Job Description: Data Science & AI Lead Location: Bengaluru Experience: 7+ Years Qualification: B.Tech/M.Tech or equivalent in CS, Data Science, or related domain About the role: Responsible for designing and implementing data-driven solutions that leverage advanced analytics, machine learning, and artificial intelligence techniques. You will collaborate with cross-functional teams to unders...

Analytics Lead

We are seeking a highly motivated and skilled AI Trainer to join our team and help shape the next generation of AI models, focusing on Generative AI , Machine Learning (ML) , and Deep Learning (DL) . As an AI Trainer, you will play a pivotal role in developing, fine-tuning, and optimizing cutting-edge AI systems to meet specific use cases. You will collaborate with researchers, engineers, and product teams to ensure our AI models are robust, ethical, and deliver exceptional performance. Key Responsibilities Training and Fine-Tuning Models Design, train, and fine-tune Generative AI models (e.g., GPT, DALL-E, Stable Diffusion) for specific tasks and domains. Develop and optimize ML/DL algorith...

Job Description: You will be part of the Enterprise Business Services data science team at Walmart Global Tech, utilizing advanced machine learning, agentic AI, and optimization methodologies to tackle complex business challenges. Your role involves conducting thorough data analyses, developing predictive models, implementing machine learning algorithms, and creating intelligent AI agents to support autonomous, data-driven decision-making. Collaborating closely with engineering teams, you will design and execute scalable machine learning pipelines, agentic workflows, and resilient reference architectures on large-scale data platforms to deliver production-grade solutions. Key Responsibilitie...

As a Manager of Product Marketing Data & Strategy, your role will involve leading the intersection of data analytics, product marketing, and business decision-making. Your responsibilities will include: - **Data & Advanced Analytics:** - Conducting advanced statistical analysis to understand customer behavior, product adoption patterns, and campaign ROI. - Developing and scaling algorithms to support personalization, lead scoring, and conversion rate optimization. - **Strategic Marketing Insights:** - Partnering with product marketers to shape positioning, messaging, and go-to-market strategies using data-driven insights. - Analyzing competitive landscapes and market trends to support strate...

Role & responsibilities Data Scientist to drive innovation in Claims Analytics and AI-driven solution development. Leading a team of talented data scientists, this role will design, develop, and operationalise advanced AI and analytics solutions that optimise claims performance and deliver measurable business value. The successful candidate will be a visionary and technically outstanding data scientist with a proven ability to lead complex initiatives from concept to delivery. They will inspire innovation, uplift capability across the team, and shape the strategic direction of AI within the organisation to enable smarter, faster, and more data-driven decisions. This role will collaborate clo...

Role & responsibilities Identify strategic insights from either research or internal research data (TNPS, CSAT or usage data) Communicate research results to client groups through insightful presentations Formulate implications linking research findings to strategy recommendations Project management of Client Experience programs across the organization Internal survey creation and analysis where needed both for customers and employees Manage time and budgets for key projects and client groups Develop and maintain knowledge of Financial markets Continually developing processes & methodologies, ensuring the ongoing accuracy and effectiveness of outputs Preferred candidate profile Market resear...

Roles and Responsibilities Design, develop, and deploy data science solutions using Python, AWS, Open AI, TensorFlow, PyTorch, GIT, LLM, RAGB, Agentic AI. Collaborate with cross-functional teams to identify business problems and create data-driven insights. Develop predictive models and machine learning algorithms to drive business outcomes. Ensure high-quality deliverables by following best practices in software development and testing. Stay up-to-date with industry trends and advancements in data science. Desired Candidate Profile 4-5 years of experience as a Data Scientist or related field. Strong proficiency in Python programming language and its libraries (e.g., NumPy, Pandas). Experien...

Job Description - Experience - 5 - 7yrs Work Location - Trivandrum Work Mode Hybrid (3 days from office) Job Summary: We are looking for a proactive and technically strong Lead Gen AI Engineer to lead a high-performing offshore team working on Gen AI solutions in the real estate domain. This role requires close collaboration with the Gen AI Architect and direct accountability for delivery, technical execution, and mentoring the team across various Gen AI initiatives. Key Responsibilities: - Lead the offshore team in developing, testing, and deploying Gen AI and NLP-based applications. - Collaborate closely work with the Lead Architect to translate high-level designs into actionable workstrea...

Job Description: We are seeking a passionate and technically proficient candidate to join our growing AI innovation team. The ideal candidate will have strong experience in building intelligent agentic systems, designing Generative AI workflows, and deploying solutions on GCP Vertex AI. This role involves developing smart, autonomous agents that leverage Retrieval-Augmented Generation (RAG), data-driven decision-making, and domain knowledge in insurance to deliver impactful business solutions. Key Responsibilities Agentic AI Development Design, build, and maintain autonomous agentic AI systems capable of reasoning and multi-step task execution. Integrate AI agents with enterprise data system...

Gen AI/Agentic AI Engineers Location - Bangalore/Gurugram Experience - 4-8 years Skills & Experience Strong background in Python , ML engineering and API development ( FastAPIs ) Knowledge of tokenization libraries and GenAI/NLP techniques (RAG, embeddings, transformers). Hands-on with GenAI frameworks (LangChain, LlamaIndex, DSPy) and Agentic AI orchestration (LangGraph, MCP, A2A, AutoGen, etc.). Expertise with vector databases, elastic search, unstructured data Experience with cloud AI/ML services (AWS, Azure, GCP). Key Responsibilities Design and implement GenAI applications (chatbots, copilots, knowledge assistants). Build and manage Agentic AI workflows using orchestration frameworks (L...

As a Data Scientist , you will play a pivotal role in building and scaling machine learning solutions that drive product intelligence and data-informed decision-making across SiteMinder. You will work closely with Principal Data Scientists and the Core Data Lab team to develop, validate, and productionise models that deliver real business impact. In collaboration with Engineering, you will focus on integrating models into products and tackling complex data science challenges related to prediction, recommendation, and optimisation. What you ll do Design and develop end-to-end ML solutions from data exploration and feature engineering to model training, validation, and deployment. Collaborate ...

Position Summary: The Digit Trainee Program aims to build and nurture leadership talent for positions across divisions through the organizations accelerated learning program. We have the following expectations from our trainees across any department: Learn all operations, management viewpoints, company policies, and practices that affect each phase of business and collaborate with other teams to meet the company objectives. Learn from live cases and business development opportunities. Set performance goals and objectives with upper management. Job Opportunities: We are looking to hire for our Analytics and Data Science team. We are seeking a dynamic and detail-oriented individual to join our...

we're looking for a Senior Data Science /Full Stack Engineer who expects more from their career. It s a chance to make accessible to clients the latest and best ready-to-use science products and/or software modules, helping Dunnhumby and its clients serve billions of customers worldwide. What we expect from you Degree in a relevant subject Experience with and passion for buidling full-stack applications and an appetite for understanding and implementing ways to connect with various data science algorithms on the big data backend. Frontend stack Reactjs, Typescript, Redux, Cypress Backend stack Nodejs, Typescript, Postgres, GCP, Linux Good knowledge of SQL (joins, subqueries, etc) and optimis...

Job Overviews Designation: Software Engineer Location: Ahmedabad Work Mode: Work from Office Vacancy: 1 Experience: 3.0 To 5.0 Apply Now We are looking for an innovative AI Developer to design, build, and deploy AI/ML solutions, including LLMs, NLP, computer vision, and generative AI models , into real-world applications. Requirements: Experience: Minimum 3 5 years in AI/ML development (production-level). Education: Bachelor s/Master s in Computer Science, AI, Data Science, or related field . Skills: Python, PyTorch/TensorFlow, Hugging Face, LangChain, embeddings, vector DBs, API integration. Deployment: Docker, Kubernetes, Linux server setup, GPU configuration, cloud platforms (AWS/GCP/Azur...

Leadership and Strategy Develop and execute a comprehensive data science and AI strategy that aligns with the organization s business goals. Lead and mentor a highperforming team of data scientists, machine learning engineers, and AI specialists. PreSales Engagement Collaborate with sales teams during the presales process to articulate the value of data science and AI solutions, tailoring presentations and demonstrations to client needs. Identify opportunities for deploying data science and AI solutions that address client challenges and drive business value, contributing to proposal development and responses to RFPs. Expertise in Data Science and Machine Learning Oversee the design and impl...

CreArt Solutions is looking for AI/ML Engineer to join our dynamic team and embark on a rewarding career journey Analyzing customer needs to determine appropriate solutions for complex technical issues Creating technical diagrams, flowcharts, formulas, and other written documentation to support projects Providing guidance to junior engineers on projects within their areas of expertise Conducting research on new technologies and products in order to recommend improvements to current processes Developing designs for new products or systems based on customer specifications Researching existing technologies to determine how they could be applied in new ways to solve problems Reviewing existing p...

Understand the business requirements to develop digital tools using Power BI/Qlik sense/azure data bricks/data factory Develop Machine Learning models Good communication and documentation skills Learn and develop knowledge in an agile (scrum) project methodologies Learn and develop business acumen and articulation skills; ability to capture business needs and translate into a solution Analytical bent of mind Ability to manage interaction with business stakeholders and others within the organization Expert knowledge in SQL Basic knowledge in reporting tools like Power BI & Qlik is an added advantage Have knowledge in prototyping, designing, and requirement analysis. Analytical thinking for tr...

Bachelor/Masterin Computer Science, Data Science, ElectricalEngineering, or a related field. Technical Skills: Proficiency in Python andexperience with Jupyter notebooks. Familiarity withdeep-learning frameworks (TensorFlow, PyTorch, or similar). Exposure to computervision (e.g., OpenCV) and/or OCR tools is a plus. Experience calling LLMAPIs (OpenAI, LangChain, etc.) or willingness to learn prompt engineering. Soft Skills: Self-Motivated &Self-Learner: Able toindependently research new models and implement proof-of-concept experiments. Strong analytical andproblem-solving abilities. Clear written and verbalcommunication, comfortable presenting technical findings.

Design and implement machine learning, information extraction, probabilistic matching algorithms and models Research and develop innovative, scalable and dynamic solutions to hard problems Work closely with Machine Learning Scientists, ML engineers, data scientists and data engineers to address challenges head on Use the latest advances in NLP, data science and machine leaning to enhance our products and create new experiences Scale machine learning algorithm that powers our platform to support our growing customer base and increasing data volume Be a valued contributor in shaping the future of our products and services You will be part of our Data Science & Algorithms team and collaborate p...

Moodys Investors Service is looking for Mgr-Fin Data & Analytics to join our dynamic team and embark on a rewarding career journey Collaborate with cross-functional teams to achieve strategic outcomes Apply subject expertise to support operations, planning, and decision-making Utilize tools, analytics, or platforms relevant to the job domain Ensure compliance with policies while improving efficiency and outcomes Disclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before

Interbiz Consulting is looking for AI Engineer to join our dynamic team and embark on a rewarding career journey Designing and developing AI algorithms and models to solve specific business problems Creating and maintaining databases for storing and processing large amounts of data Developing and deploying machine learning and deep learning models Implementing and integrating AI solutions with existing systems and software Analyzing and interpreting complex data sets to extract insights and drive decision-making Collaborating with cross-functional teams to develop and deploy AI applications Ensuring the security and privacy of data used in AI applications Communicating and presenting technic...