19890 Data Science Jobs - Page 15

Role: The purpose of this role is to be responsible for configurating and maintaining the software and other technological aspects of the project being run for the Wipro client DO : - Provide assistance in configuration of applications based on client requirements - Collate configuration requirements from the functions/ BUs/ SLs and obtain approval from business owners - Plan and execute assigned configuration tasks within deadlines - Provide system configuration support based on changing business needs - Assist in system analysis, design, development, and testing activities - Provide support in developing, implementing and testing patch releases and system upgrades - Maintenance of the conf...

Role Purpose The purpose of this role is to design, test and maintain software programs for operating systems or applications which needs to be deployed at a client end and ensure its meet 100% quality assurance parameters 4-6 years of hands-on experience in software development, with at least 1-2 years focused on AI or GenAI technologies. Proven track record of delivering scalable and reliable software solutions. Core Technologies : Proficiency in Generative AI, Python, LangChain, Prompt Engineering, and embedding models. Software Engineering : Experience in software development with technologies like .NET, Java, React, or Angular. Cloud Platforms : Working knowledge of cloud environments s...

About The Role Role Purpose The purpose of this role is to design, test and maintain software programs for operating systems or applications which needs to be deployed at a client end and ensure its meet 100% quality assurance parameters Do 1. Instrumental in understanding the requirements and design of the product/ software Develop software solutions by studying information needs, studying systems flow, data usage and work processes Investigating problem areas followed by the software development life cycle Facilitate root cause analysis of the system issues and problem statement Identify ideas to improve system performance and impact availability Analyze client requirements and convert req...

About The Role Role Purpose The purpose of this role is to design, test and maintain software programs for operating systems or applications which needs to be deployed at a client end and ensure its meet 100% quality assurance parameters Do 1. Instrumental in understanding the requirements and design of the product/ software Develop software solutions by studying information needs, studying systems flow, data usage and work processes Investigating problem areas followed by the software development life cycle Facilitate root cause analysis of the system issues and problem statement Identify ideas to improve system performance and impact availability Analyze client requirements and convert req...

About The Role Role Purpose To ensure success as a technical architect, you should have extensive knowledge of enterprise networking systems, advanced problem-solving skills, and the ability to project manage. A top-class technical architect can design and implement any size system to perfectly meet the needs of the client. Do 1. Responsibilities Meeting with the IT manager to determine the company?¢??s current and future needs. Determining whether the current system can be upgraded or if a new system needs to be installed. Providing the company with design ideas and schematics. Project managing the design and implementation of the system. Meeting with the software developers to discuss the ...

About The Role Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Collaborate with sales, pre-sales &consulting team to assist in creating solutions and propositions for proactive demand generation ii. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for recruitment, joint research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning sol...

About The Role Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Collaborate with sales, pre-sales &consulting team to assist in creating solutions and propositions for proactive demand generation ii. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for recruitment, joint research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning sol...

Job Title: AI/ML Engineer Experience: 5 + years Work Locations: Bangalore | Chennai | Pune | Hyderabad | Chennai | Ahmedabad Job Summary :We are seeking a AIML ENGINEER with a strong background in Data Analytics and Agile delivery to lead strategic AI/ML initiatives across cross-functional teams. The ideal candidate will have hands-on experience managing complex analytics programs, acting as a Scrum Master, and driving business outcomes through data-driven decision-making. Key Responsibilities: Design and implement scalable data architectures to support LLM (Large Language Model) training, fine-tuning, and deployment. Lead the development of Agentic AI systems integrating reasoning, memory, ...

Job Title: Data Scientist AI/ML/DL Location: PAN India About the Role: We are seeking a skilled Data Scientist with expertise in AI/ML/DL and Generative AI to join our dynamic team. The ideal candidate will have hands-on experience in advanced AI frameworks, cloud platforms, and modern data science tools. Key Responsibilities: Design, develop, and deploy AI/ML/DL models for real-world applications. Work on Generative AI solutions and multi-modal language models. Collaborate with cross-functional teams to deliver scalable AI solutions. Optimize models for performance and accuracy across platforms. Requirements: Experience: 36 years in Data Science and AI/ML/DL domain. Hands-on experience in G...

Role Overview: Otis is the world s leading company for elevator and escalator manufacturing, installation and service. We are looking for a talented and innovative Data/AI Scientist to join our team and drive the development of cutting-edge artificial intelligence solutions. On a typical day you will: Research and develop advanced AI models and algorithms to solve complex problems. Design and implement machine learning, deep learning systems, and other data science solutions to solve specific business problems. Analyze large datasets to extract meaningful insights and patterns. Collaborate with cross-functional teams to integrate AI and data science solutions into products and services. Stay...

Reinsurance Administration process is part of finance team,which takes care the reinsurance administrative activities including - Reinsurance premium and claims computation. Products/treaty set-up in ReNova. Analysis and impact assessment on re-insurance process ofnew product launch Coordination with reinsurer for account settlement. Internal/regulatory reporting. Technical accounting. Automation and process improvement What are we looking for A dynamic and energetic Subject Matter Expert (SME) tosupport reinsurance team in managing overall reinsurance activities with a highlevel of integrity, faster execution, respect for timeline and efficientinteraction with internal and external stakehol...

About this role: Wells Fargo is seeking a Senior Risk Analytics Consultant In this role, you will: Lead or participate in moderately complex initiatives, and delivering insight and decision strategies within analytics and reporting, and contribute to large-scale planning related to Risk Analytics Review and analyze moderately complex data aggregation, forecasting, reporting, and programming models Be responsible for process production, data reconciliation, and model documentation in alignment with policy governance Resolve data, production, business modeling, and lead team to meet Risk Analytics deliverables while leveraging solid understanding of risk reporting policies, modeling strategies...

Gather data from various sources (databases, APIs, etc.). Conduct exploratory data analysis (EDA) to identify patterns and insights. Develop reports and visualizations to communicate findings. Identify and implement process improvements through automation. Develop and maintain automated business processes, including reporting and forecasting tools. Utilize automation tools like Python scripting, RPA, or other suitable technologies. Bachelors degree in a relevant field (e.g., statistics, data science, computer science, engineering), or equivalent experience. 5+ years experience working on and delivering projects using automation, analytics, data science techniques Programming: Proficiency in ...

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you??d like, where you??ll be supported and inspired by ? a collaborative community of colleagues around the world, and where you??ll be able to reimagine what??s possible. Join us and help the world??s leading organizations ? unlock the value of technology and build a more sustainable, more inclusive world. Your Role Expertise in DWaaS (Data Warehouse as a Service) solutions. Strong experience in ETL (Extract, Transform, Load) processes and tools. Proficiency in Microsoft SQL Server Integration Services (SSIS) for data integration. Advanced programming skills in Python for data processing...

Responsibilities: * Develop MERN full stack apps & mobile solutions * Conduct IT training on latest technologies * Train corporate teams in data science, AI, ML, BI * Collaborate with clients to define learning objectives

Data Analyst Conga & Pros SPOM Integration Data Modeling & Mapping Understand Conga's data structures (Cart, Quote, Invoice, Line Items) and Pros SPOM schema. Design mapping logic to transform Conga data into SPOM-compatible formats for pricing models. ETL & Data Integration Build and maintain ETL pipelines for extracting, transforming, and loading data from Conga to SPOM. Develop custom APIs where ETL is insufficient for real-time or complex transformations. Invoice Data Generation Create invoice datasets from cart-level transactional data for downstream analytics and ML training. Validate data integrity and completeness across multiple sources. Pricing Analytics Prepare datasets for machin...

Solid understanding and working experience with GCP cloud platform - fundamentals: GCP ( e.g.Vertex AI, AI Platform Pipelines, Cloud Functions, GKE, ADK) Python environment setup, dependency management (Ex. pip, conda ) and API Integrations(API Keys, OAuth) Exposure to NLP, machine learning, or data science projects. Awareness of prompt engineering principles and how LLMs (like GPT, Claude, or LLaMA ) are used in real-world applications. Understanding of transformer architecture and how it powers modern NLP. Exposure to AI Code Assist tools

Broad expertise in Fin. crime Monitoring, AML, KYC, Sanctions Screening, Payment Screening, Fraud etc Proven risk & regulatory experience in financial services gained through management consulting, banking or other relevant industry practitioner or regulatory roles End-to-end project implementation and cross-functional stakeholder management experience including agile project delivery Seasoned business analyst with experience in requirements analysis, requirements management and documentation, exposure to tools like JIRA, Confluence etc , hands on with SQL queries Bachelors degree from a reputable Institute. Masters degree preferably in a quantitative field (Business, Data Science, Statistic...

Your future duties and responsibilities: We are seeking an experienced and highly skilled Senior Generative AI / Agentic AI Engineer to join our team This role involves leading the design, development, and deployment of advanced AI solutions with a focus on generative AI models and agentic AI systems The ideal candidate will have deep technical expertise in AI/ML, strong programming skills, and the ability to collaborate across teams to integrate AI capabilities into products and processes Design, develop, and implement generative AI models (e.g., large language models, generative adversarial networks) and agentic AI systems that automate intelligent decision-making Collaborate with cross-fu...

Responsibilities 1. Design, develop, and implement MLOps pipelines for the continuous deployment and integration of machine learning models 2. Collaborate with data scientists and engineers to understand model requirements and optimize deployment processes 3. Automate the training, testing and deployment processes for machine learning models 4. Continuously monitor and maintain models in production, ensuring optimal performance, accuracy and reliability 5. Implement best practices for version control, model reproducibility and governance 6. Optimize machine learning pipelines for scalability, efficiency and cost-effectiveness 7. Troubleshoot and resolve issues related to model deployment and...

AI Lead Engineer AWS Solutions Architect, AWS Machine Learning Specialty). Familiarity with popular AI/ML frameworks and libraries such as Hugging Face Transformers, TensorFlow, PyTorch, LangChain, or simila About the Role We are seeking an experienced AI Lead Engineer to lead innovation in AI-driven solutions with global impact. This role demands strong expertise in Python and Java, deep experience in Retrieval-Augmented Generation (RAG)-based chatbot development, and proficiency in deploying AI applications on AWS. As the AI Lead Engineer, you will own the end-to-end development lifecycle from architecture to deployment while mentoring the team, ensuring technical excellence, and deliverin...

About The Role We are seeking a skilled and detail-oriented Data Engineer to join our team You will be responsible for designing, developing, and maintaining scalable ETL pipelines, optimizing data infrastructure, and ensuring data integrity through governance best practices This role involves working closely with quantitative teams and developers to build robust data solutions while leveraging cutting-edge big data technologies and cloud platforms Key Responsibilities Design, develop, and maintain scalable ETL pipelines for multi-scale datasets Architect and optimize high-performance data pipelines for seamless data flow and transformation Implement data quality checks and governance proces...

What we are looking for: As a Senior AI/ML Engineer at Meltwater, you'll play a vital role in building cutting-edge social solutions for our global client base within the Explore mission We're seeking a proactive, quick-learning engineer who thrives in a collaborative environment. Meltwater development teams take full ownership of their subsystems and infrastructure, including running on-call rotations With a heavy reliance Software Engineer in AI/ML and Data Science We seek individuals with experience in Cloud infrastructure and containerization, Docker, Azure or AWS is required (Azure is preferred) Data Preparation, Model Lifecycle (training, serving and registries) & Natural language Proc...

Drive the development of machine learning models for predictive network analytics, including alarm correlation,fault prediction,and KPI anomaly detection. You'll work on real-world challenges-anticipating network degradation. Required Candidate profile • 5+ years of experience in data science, machine learning, or AI engineering • Strong foundation in telecom domain knowledge-RF, RAN, Core, or Transport networks.

Role Summary: Seeking a Data Science Leader with 18+ yrs in marketing analytics (MMM, attribution, segmentation, optimization) and AI/ML, including GenAI & Agentic AI Drive client transformation and build internal capabilities across CPG, Retail, E-Commerce, Media, or HiTech Responsibilities:Lead pre-sales for analytics & AI deals: solution design, RFPs, PoCs Engage CXOs, deliver solutions spanning classical analytics & AI/ML (personalization, recommendations, GenAI) Build and mentor teams; define competency frameworks; drive talent development Collaborate with business, industry, and tech teams for scalable offerings Skills:Marketing analytics, AI/ML (predictive, NLP, personalization), GenA...