10385 Data Science Jobs - Page 5

Role & responsibilities Lead digital transformation for the engineering function Manage full lifecycle of digital products (vision development adoption) Design, develop, and implement digital tools. First-line support for digital/software issues. Lead, mentor, and manage developer team. Define product vision, roadmap, and adoption strategy. Collaborate with Engineering, IT, and Business teams. Introduce AI/ML, Data Science, analytics, automation, computer vision. Integrate open-source APIs/software (YOLO, NLP, etc.). Oversee Data Lake, pipelines, and enterprise analytics. Track KPIs and measure product impact. Stay updated with digital trends and drive innovation. Promote digital-first cultu...

Data Science with NLP Experience Must.

JD • Total IT experience: 7 to 10 years in DWH is must • 2-4 years of experience in implementing NLP/GenAI projects • 1 year of experience in extract entities from Large Documents with greater than 100 pages - typically legal documents / Contract Documents /Claim Documents/medical documents • 6 months to 1 year of experience in processing large documents using GenAI APIs like Azure OpenAI,Amazon Bedrock, Google Gemini , Anthropic Claud • Thorough understanding of NLP terminologies like Sentiment Analysis/ Entity Extraction/Topic Modeling etc • Should have used Cloud Cognitive Services for key phrase extraction and document digitization like Azure Doc Intelligence, Google Doc Intelligence, AW...

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 EY GDS Data and Analytics (D&A) Senior Senior Data Scientist Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture In thi...

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 EY GDS Data and Analytics (D&A) Senior Senior Data Scientist Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture In thi...

Role & responsibilities As a Principal Data Scientist in our AdTech team, youll drive innovation in our advertising platform using advanced machine learning and statistical methods. Youll tackle complex problems in real-time bidding, ad ranking optimization, budget efficiency, and performance measurement that directly impact our businesss bottom line. This role requires technical excellence and business acumen and youll collaborate with cross-functional teams to transform data insights into actionable strategies that enhance our advertising ecosystem. Preferred candidate profile B.Tech in Computer Science, Machine Learning, or a related field with at least 6+ years of experience in AI/ML res...

Bachelor's/Master's degree in computer science (or similar degrees) 2-4 years of experience as a Data Scienti st in a fast-paced organizati on, preferably B2C Familiarity with Neural Networks, Machine Learning, etc Familiarity with tools like SQL, R, Python, etc. Strong understanding of Stati sti cs and Linear Algebra Strong understanding of hypothesis/model testi ng and ability to identi fy common model testi ng errors Experience designing and running A/B tests and drawing insights from them Proficiency in machine learning algorithms Excellent analyti cal skills to fetch data from reliable sources to generate accurate insights Experience in tech and product teams is a plus Bonus points for:...

JD: Total IT experience: 7 to 10 years in DWH is must • 2-4 years of experience in implementing NLP/GenAI projects • 1 year of experience in extract entities from Large Documents with greater than 100 pages - typically legal documents / Contract Documents /Claim Documents/medical documents • 6 months to 1 year of experience in processing large documents using GenAI APIs like Azure OpenAI,Amazon Bedrock, Google Gemini , Anthropic Claud • Thorough understanding of NLP terminologies like Sentiment Analysis/ Entity Extraction/Topic Modeling etc • Should have used Cloud Cognitive Services for key phrase extraction and document digitization like Azure Doc Intelligence, Google Doc Intelligence, AWS...

We're Hiring! NLP Specialist For a leading global service-based MNC that's transforming how enterprises leverage data to drive innovation and success! We're on the lookout for a NLP Specialist Expert to be a key player in our dynamic team. Years of Experience : 6 to 9 Years Location : Chennai,Bangalore,Mumbai,Pune Notice period : Immediate to 30 Days Work Mode : Hybrid

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. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engineers and IT t...

We're Hiring! NLP Specialist For a leading global service-based MNC that's transforming how enterprises leverage data to drive innovation and success! We're on the lookout for a NLP Specialist Expert to be a key player in our dynamic team. Years of Experience : 6 to 9 Years Location : Chennai,Bangalore,Mumbai,Pune Notice period : Immediate to 30 Days Work Mode : Hybrid

We're Hiring! NLP Specialist For a leading global service-based MNC that's transforming how enterprises leverage data to drive innovation and success! We're on the lookout for a NLP Specialist Expert to be a key player in our dynamic team. Years of Experience : 6 to 9 Years Location : Chennai,Bangalore,Mumbai,Pune Notice period : Immediate to 30 Days Work Mode : Hybrid

We're Hiring! NLP Specialist For a leading global service-based MNC that's transforming how enterprises leverage data to drive innovation and success! We're on the lookout for a NLP Specialist Expert to be a key player in our dynamic team. Years of Experience : 6 to 9 Years Location : Chennai,Bangalore,Mumbai,Pune Notice period : Immediate to 30 Days Work Mode : Hybrid

Job Description for Analytics Leader in Integrated Business Solutions - IBS: Position Overview The Director of Analytics and Reporting will spearhead our data analytics strategy for our IBS (Integrated Business solutions) offerings, transforming operational data into strategic insights that demonstrate business value to clients and drive continuous service improvement. This role will be pivotal in measuring process efficiencies, service level performance, and business outcomes across our IBS (Integrated Business solutions) portfolio, ensuring our solutions deliver measurable ROI to clients. Key Responsibilities IBS Performance Analytics : Design and implement comprehensive analytics framewor...

Position Overview The Director, Data Science will be a pivotal leader, responsible for spearheading the data analytics strategy across both Customer Experience (CX) and Business Process as a Service (BPaaS) offerings. This role involves transforming complex customer and operational data into actionable business intelligence and strategic insights. The Director will drive data-informed decision-making across the organization, optimize customer journeys, measure the impact of CX initiatives on business outcomes, and demonstrate the measurable business value and ROI of BPaaS solutions to clients. This leader will be instrumental in fostering continuous service improvement and enhancing overall ...

About the job Sanofi is a global life sciences company committed to improving access to healthcare and supporting the people we serve throughout the continuum of care. From prevention to treatment, Sanofi transforms scientific innovation into healthcare solutions, in human vaccines, rare diseases, multiple sclerosis, oncology, immunology, infectious diseases, diabetes and cardiovascular solutions. As a company with a global vision of drug development and a highly regarded corporate culture, Sanofi is recognized as one of the best pharmaceutical companies in the world and is pioneering the application of Artificial Intelligence (AI) with strong commitment to develop advanced data standards to...

Role & responsibilities: Outline the day-to-day responsibilities for this role. Preferred candidate profile: Specify required role expertise, previous job experience, or relevant certifications. Perks and benefits: Mention available facilities and benefits the company is offering with this job.

Role & responsibilities : Experienced in Data science, Python, SQL, R program

We are looking for a Senior Data Scientist with hands-on experience in Generative AI (GenAI) to drive innovation through cutting-edge AI/ML solutions. This role involves designing and implementing GenAI models and pipelines that solve business problems and enhance productivity. You will collaborate with cross-functional teams to deliver solutions using large language models (LLMs), transformers, and other generative techniques. Key Responsibilities: Develop and fine-tune Generative AI models using LLMs (e.g., GPT, LLaMA, Claude, PaLM) for tasks like summarization, content generation, question answering, semantic search, etc. Build end-to-end GenAI-powered solutions including prompt engineeri...

Key Components of a Data Science Architecture Data Models: These are the structural representations of data, defining how data elements are organized and their relationships within databases. Data Integration: This component focuses on ensuring smooth data flow and consistency between different systems using processes like ETL (Extract, Transform, Load) or ELT (Extract, Load, Transform) pipelines. Data Governance: This involves defining policies and standards for data quality, security, privacy, and compliance, ensuring that data is managed responsibly and ethically. Data Storage: Architectures include solutions for storing data, such as traditional databases, data warehouses, and data lakes...

Role & responsibilities : We are seeking a skilled AI/ML Engineer proficient in Python to join our dynamicteam. In this role, you will collaborate with cross-functional teams to design, develop, and deploy machine learning models and AI systems.You will be responsible for implementing algorithms and workflows that enable our organization to leverage data for insightful decision-making and innovative product solutions. Key Responsibilities:- Develop machine learning models and algorithms using Python and relevant libraries (e.g., Tensor Flow, PyTorch, sci-kit-learn). Min 6 months of experience in Gen AI and Proficiency in could technologies such as AWS, GCP or azure. Collaborate with data eng...

Role & responsibilities Role & responsibilities We are seeking a skilled AI/ML Engineer proficient in Python to join our dynamicteam. In this role, you will collaborate with cross-functional teams to design, develop, and deploy machine learning models and AI systems.You will be responsible for implementing algorithms and workflows that enable our organization to leverage data for insightful decision-making and innovative product solutions. Key Responsibilities:- Develop machine learning models and algorithms using Python and relevant libraries (e.g., Tensor Flow, PyTorch, sci-kit-learn). Min 6 months of experience in Gen AI and Proficiency in could technologies such as AWS, GCP or azure. Col...

1. Internationalization & Market Expansion Launch and scale Amazon Music subscription offers in new and growing international markets. Localize pricing strategies, promotions, and upsell experiences to meet regional customer expectations and regulatory requirements. Partner with Finance, Payments, and Engineering teams to deliver trusted, market-ready payment solutions. Build scalable mechanisms for subscription onboarding, lifecycle management, and retention globally. 2. Intelligent Subscription Chatbot Define and drive the global strategy for Amazon Music s subscription chatbot. Create an AI-driven conversational interface that helps customers with subscription-related needs, including pla...

Deliver and implement advanced secondary analyses of data from EMR, claims, and primary observational data required by Therapeutic Area RWE strategies. Collaborate in a rapid analytics environment alongside stakeholders to ideate impactful analysis and implementation. Provide clear technical input and directions to support strategic decisions made by AZ observational study teams on study design, data partner selection, and best practices in RWE data utilization. Mentor and support the education and technical training of Real World Data Scientists. Maintain insight into the capabilities of potential external partners in RWE, especially for US and emerging markets. Demonstrate standard in Real...

Junior AI/ML Engineer with 3+ years of experience in machine learning, artificial intelligence, and data science. The ideal candidate will have hands-on experience in developing and optimizing AI/ML models, working with large datasets, and applying AI techniques to solve real-world business challenges. This role offers excellent opportunities for career growth and exposure to cutting-edge AI/ML technologies. Develop, optimize, and deploy machine learning models to address business problems. Perform data preprocessing, cleaning, and feature engineering to improve model accuracy. Assist in model training, evaluation, and hyperparameter tuning for enhanced performance. Conduct exploratory data ...