49 Data Science Jobs

As a software engineer specializing in machine learning, natural language processing, and data science, you will play a critical role in designing and coding innovative solutions. You should have a Bachelors or Master's degree in Computer Science or a related field, along with at least 5 years of professional experience in this domain. Key Responsibilities: - Demonstrate a strong understanding and hands-on experience in artificial intelligence, and any of machine learning, deep learning, natural language processing, reinforcement learning, etc. - Apply data science principles effectively, with experience in NLP, LLMs, deep learning, and handling diverse datasets for model training. - Utilize...

As a Senior AI/ML Integration Engineer at Deevita, you will play a crucial role in developing and deploying sophisticated multimodal agentic AI solutions for the hospitality sector. Your responsibilities will involve: - Developing and tuning models for natural language understanding, deep contextual reasoning, decision-making, and task execution in agentic interactions. - Developing and maintaining backend microservices using Python, Java, and Spring Boot. - Deploying and managing services on Google Cloud Platform (GKE). - Working with Google Cloud Spanner (Postgres dialect) and pub/sub tools like Confluent Kafka. - Designing and implementing AI-driven microservices. - Collaborating with Dat...

Role Overview: You will be leading and mentoring a multi-skilled product team in the Global Data Insights and Analytics (GDI&A) department at Ford Motor Company. Your primary responsibility will be to guide the team through the entire lifecycle of complex analytical and AI/ML data science products, ensuring proactive, evidence-based decision-making. Key Responsibilities: - Provide expert technical guidance and mentorship to data scientists & software engineers in the product team - Lead, mentor, and develop a high-performing team of data scientists, software engineers, and ML engineers - Contribute to the development and implementation of the team's innovation strategy - Lead the problem for...

Role Overview: At PwC, as a part of the data and analytics team, your focus will be on leveraging data to drive insights and facilitate informed business decisions. You will utilize advanced analytics techniques to assist clients in optimizing their operations and achieving their strategic goals. Specifically, in the field of business intelligence, your role will involve leveraging data and analytics to offer strategic insights and support informed decision-making for clients. Your responsibilities will include developing and implementing innovative solutions to enhance business performance and gain a competitive advantage. Key Responsibilities: - Designing and implementing the ELT architect...

As an Industrial Digital Twin - Lead, your role will involve facilitating collaboration with Client Partners and Business Relationship Managers to close deals and accelerate conversion cycles. You will be responsible for developing and delivering compelling value propositions to CXO-level stakeholders, highlighting the strategic benefits of AI powered digital twin solutions. Your tasks will include mapping Industrial IoT offerings to address the latent needs of customers, ensuring solutions are tailored for maximum impact. Additionally, you will work closely with the solution team to prepare and present outcome maps that clearly define the path to ROI for clients. Supporting customers in pre...

As a Data Analyst at your company, you will play a crucial role in driving necessary changes based on identified insights and collaborating with product managers to prioritize features for Shipping 360. Your responsibilities will include: - Finding and clearly communicating key insights to influence decision-making. - Maintaining a strong relationship with UX teams to enhance client experiences. - Collaborating with cross-functional teams to understand product usage and improvement opportunities. - Utilizing various tools like Pendo, Qualtrics, Adobe, FullStory, Google Analytics, and Power BI for data extraction and analysis. - Working closely with Data Science to provide actionable insights...

As a candidate for this role, your role overview includes utilizing your developed communication and diplomacy skills to guide, influence, and convince others, especially colleagues in different areas and occasional external customers. Your advice and counsel related to the technology or operations of the business will impact an entire area, which in turn affects the overall performance and effectiveness of the sub-function/job family. Key responsibilities for this position include: - Working with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies - Identifying and compiling data sets using various tools...

About the Role: We are seeking an experienced Data Scientist to join our growing team. You will play a key role in building intelligent systems that help reduce alert noise, detect anomalies, correlate events, and proactively surface operational insights across our large-scale streaming infrastructure. Youll work at the intersection of machine learning, observability, and IT operations, collaborating closely with Platform Engineers, SREs, Incident Managers, Operators and Developers to integrate smart detection and decision logic directly into our operational workflows. This role offers a unique opportunity to push the boundaries of AI/ML in large-scale operations. We welcome curious minds wh...

Job Purpose To design, build, and operationalize a scalable Real-Time Approval and Decisioning ecosystem powered by advanced analytics and machine learning, enabling organizational agility at scale. This role is responsible for developing a standardized, product-specific approval engine that ensures ultra-fast, data-driven customer onboarding and acquisition. By leveraging real-time data pipelines, predictive models, and automation frameworks, the role aims to eliminate friction across the customer journey, optimize funnel performance, and enable rapid business scaling aligned with LRS financial growth objectives. Duties and Responsibilities Data Analytical Solution Development As a strategi...

We are looking for a skilled Machine Learning / Data Analyst Engineer with strong expertise in SQL, Python, and machine learning algorithms. The candidate will be responsible for data analysis, model development, and supporting data-driven decision-making across the project lifecycle

Primary skills : Gemini Agent space, AI multi cloud experience, Experience in running AI services, vibe coding(Cursor), Vertex AI, Vector DB, RAG Observability, LLM/SLM Evaluation metrics, Vector Search Performance Evaluation, Extensive hands-on with Python and LLM application frameworks (like LangChain, LangGraph etc) Secondary skills : Terraform, Multi cloud experience (AWS), Model Fine-Tuning, ETL, PySpark, Java Extensive implementation experience in data analytics space or a senior developer role in one of the modern technology stacks. Experience with Data Science techniques. Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure componen...

Job Title - SC Global Network - AI - Conversational AI - Consultant Management Level: 9-Team Lead/Consultant Location: Kolkata, KDC1A Must-have skills: Conversational AI Good to have skills: Knowledge of emerging technologies, cloud computing, and cybersecurity best practices. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles Responsibilities: Develop and execute technology transformation strategies, oversee implementation projects, and optimize digital capabilities for business efficiency. Professional Technical Skills: - Relevant experience in the required domain. - St...

Job Title - Retail Specialized Data Scientist Level 9 SnC GN Data AI Management Level:09 - Consultant Location:Bangalore / Gurgaon / Mumbai / Chennai / Pune / Hyderabad / Kolkata Must have skills: A solid understanding of retail industry dynamics, including key performance indicators (KPIs) such as sales trends, customer segmentation, inventory turnover, and promotions. Strong ability to communicate complex data insights to non-technical stakeholders, including senior management, marketing, and operational teams. Meticulous in ensuring data quality, accuracy, and consistency when handling large, complex datasets. Gather and clean data from various retail sources, such as sales transactions, ...

As an intern at Maxgen Technologies Pvt Ltd in Pune, you will have the opportunity to work on live projects in the field of data science and machine learning. Here is what we are offering: - Skilled work program - Placement without bond - Practical projects during the internship - Interns friendly program If you are interested in gaining hands-on experience in data science and machine learning, this internship is the perfect opportunity for you. For more information, you can visit our website at www.maxgentechnologies.com or contact us at 9099039845, 9403890797, 9998941391, 9975064558. You can also find us at 6th Floor, Konark Icon, 601, above Maruti Suzuki, Magarpatta, Pune, Maharashtra. Sk...

As a Gen AI Engineer, your role will involve designing and optimizing scalable AI systems. You will work with large datasets, utilize advanced statistical modeling techniques, and develop large language models (LLMs) using Python. There will also be opportunities for you to explore Agentic AI. Key Responsibilities: - Design, implement, and manage large-scale data and AI solutions. - Develop and fine-tune statistical and machine learning models for real-world applications. - Build, optimize, and deploy LLMs using Python and related frameworks. - Conduct performance tuning and optimization of complex AI systems. - Collaborate cross-functionally with data scientists, ML engineers, and business ...

Role Overview: You will be a Senior Manager at PwC, focusing on leveraging advanced technologies and techniques to design and develop robust data solutions for clients in the Advisory sector. Your role will be crucial in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Additionally, you will be responsible for automating data internally using automation tools or software to streamline data-related processes within the organisation. Key Responsibilities: - Architect, implement, and deploy agentic AI solutions on Azure, ensuring scalability, security, and performance. - Manage a team of AI engineers, fostering collaboration and tech...

As a Senior Specialist in Data Science at our company, you will play a crucial role in leveraging analytics and technology to invent for life on behalf of patients worldwide. Your passion for using data, analytics, and insights to drive decision-making will be instrumental in tackling some of the world's greatest health threats. Within our commercial Insights, Analytics, and Data organization, you will be part of a transformation aimed at empowering decision-making throughout the commercialization process. We are currently seeking a dynamic talent to join us as an Analyst in Data Science. **Role Overview:** - Work with partners in various Therapeutic and Domain areas to create scalable analy...

JD: Mandatory Skills - Data Science, Gen AI, Python, RAG and Azure/AWS/GCP, AI/ML, NLP Secondary - (Any) Machine Learning, Deep Learning, ChatGPT, Langchain, Prompt, vector stores, RAG, llama, Computer vision, Deep learning, Machine learning, OCR, Transformer, regression, forecasting, classification, hyper parameter tunning, MLOps, Inference, Model training, Model Deployment 1) More than 6 years of experience in Data Engineering, Data Science and AI / ML domain Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. 2) Experience using business intelligence tools (e.g. Tableau, PowerBI) and data frameworks ...

Role: Data Scientist Exp: 6+ years Location: Bangalore Tech stack: Python, Jenkins, Azure ML, AWS SageMaker, GCP Vertex AI Responsibilities: Develop and deploy predictive and prescriptive models to solve business problems using statistical and machine learning techniques. Analyze large and complex datasets to extract actionable insights and support data-driven decision-making. Design, train, validate, and optimize machine learning models for classification, regression, clustering, and forecasting tasks. Build and maintain scalable ML pipelines for model training, evaluation, and deployment in production environments. Collaborate with cross-functional teams to define use cases, gather data re...

As a Manager at Global Data Insights and Analytics (GDI&A) at Ford Motor Company, you will be responsible for leading and mentoring a multi-skilled product team consisting of data scientists, machine learning engineers, product designers, and software engineers. Your role will involve guiding the team through the entire lifecycle of complex analytical and AI/ML data science products, with a focus on driving value and transforming Ford Motor Company through evidence-based decision making. **Key Responsibilities:** - **Technical Leadership:** - Provide expert technical guidance and mentorship to data scientists & software engineers. - Contribute to code reviews, design discussions, algorithm s...

Skill required: Data Scientist - Data Science Designation: I&F Decision Sci Practitioner Manager Qualifications: Any Graduation Years of Experience: 13 to 18 years What would you do? Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song?? all powered by the world??s largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countri...

At EY, youll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And were counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. **Role Overview:** The AI team at EY GDS caters to clients globally through EYs partner firms. As a Risk Analytics Lead, you will manage multiple Data Science engagements, interact with clients and EY stakeholders, and bring innovative ideas, methodologies, and techniques to the team. You should excel in developing high-performing individuals a...

Role Overview: As an Associate in the Data and Analytics services at PwC, you will have the opportunity to assist organizations in uncovering enterprise insights and driving business results through smarter data analytics. The focus will be on various organizational technology capabilities such as business intelligence, data management, and data assurance to aid clients in driving innovation, growth, and change within their organizations to adapt to evolving customer and technology landscapes. By leveraging a combination of human expertise and technology, you will play a key role in making impactful decisions, understanding risks, and helping clients gain a competitive edge. Key Responsibili...

As a Data Engineer / Manager / Executive at Sportrid Limited, a leading company in the None industry, you will play a crucial role in analyzing and organizing raw data to identify patterns, trends, and insights. Your responsibilities will include: - Building and maintaining data systems and pipelines to ensure the efficient flow and storage of data - Evaluating business needs and objectives to develop data solutions that meet strategic goals - Conducting complex data analysis and generating detailed reports on findings - Preparing data for prescriptive and predictive modeling using advanced statistical techniques and algorithms - Combining data from various sources to create comprehensive da...

As an AI Engineer at our company, you will have the exciting opportunity to work with cutting-edge technologies in data science, machine learning, and deep learning. Your role will involve building and deploying new AI products from the ground up, contributing to the development of our AI strategy, and defining the problems we aim to solve with AI. To succeed in this role, you must become an expert in building AI models and implementing them into production. **Responsibilities:** - Set up and manage the AI development and production infrastructure. - Collaborate with AI product managers and business stakeholders to explain the potential and limitations of AI for new product planning. - Devel...