6165 Data Scientist Jobs - Page 28

Designation - Data Scientist Experience - 3+ Years Job Overview: We are seeking a passionate and skilled Data Scientist with 3 - 5 years of hands-on experience in AI/ML, LLMs, and deployment workflows. The ideal candidate will have experience in LangGraph, LangGroid, LangChain, and Langfuse, and a strong foundation in cloud platforms (Azure, GCP). You will work on building AI agents, RAG pipelines, chatbots, voice agents, and OCR solutions while fine-tuning and deploying models using modern frameworks and tools. Key Responsibilities: Design and develop scalable AI solutions using LLM frameworks like LangChain, LangGraph, LangGroid, and Langfuse. Implement and optimize Retrieval-Augmented Gen...

Role: Data Science Specialist Experience: 5- 9 Years Location: Bangalore Client: Caterpillar Inc * Candidate need to have strong experience in Python programming, SQL Scripting * Proficient in Data Science, ML libraries * Proficient in Pyspark * Need to possess good experience in AWS cloud *Collect, clean, and interpret large volumes of raw and complex data *Develop, implement, and maintain data collection systems and strategies *Perform statistical analysis and apply data mining techniques *Develop algorithms and design experiments to merge, manage, interrogate, and extract data *Use predictive modeling to increase and optimize customer experiences, revenue generation, and other business ou...

We are seeking an AI Engineer with 3-4 years of experience, specializing in Azure AI and Microsoft 365 Copilot. The ideal candidate should have strong expertise in Machine Learning, Natural Language Processing, and Generative AI, along with practical experience in building, deploying, and managing AI solutions in the Azure ecosystem. A solid background in MLOps and LLMOps using Azure DevOps is essential.

Experience: 2+ Years Job Location: Remote Qualifications: Ph.D. Must have Work Timings: 1:30 PM IST to 10:30 PM IST Functional Area: Data Science NextGen Invent is currently searching for Data Scientist. This role will directly report to the VP, Data Science in Data Science Practice. The person will work on data science use-cases for the enterprise and must have deep expertise in supervised and unsupervised machine learning, modeling and algorithms with a strong focus on delivering use-cases and solutions at speed and scale to solve business problems. Job Responsibilities: Leverage AI/ML modeling and algorithms to deliver on use cases Build modeling solutions at speed and scale to solve busi...

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 this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Your technical responsibilities Contribute...

About the Role Data is the foundation of our innovation. We are seeking a Manager, Data Science with expertise in NLP and Generative AI to lead the development of cutting-edge AI-driven solutions in healthcare. This role requires a deep understanding of healthcare data and the ability to design and implement advanced language models that extract insights, automate workflows, and enhance clinical decision-making. Were looking for a visionary leader who can define and build the next generation of AI-driven tools, leveraging LLMs, deep learning, and predictive analytics to personalize care based on patients clinical and behavioral history. If youre passionate about pushing the boundaries of AI ...

3+ years of applied or academic experience in speech, multimodal, or LLM research Bachelor s or Master s in Computer Science, AI, or Electrical Engineering Strong in Python and scientific computing, including JupyterHub environments Deep understanding of LLMs, transformer architectures, and multimodal embeddings Experience in speech modeling pipelines: ASR, TTS, speech-to-speech, or audio-language models Knowledge of turn-taking systems, VAD, prosody modeling, and real-time voice synthesis Familiarity with self-supervised learning, contrastive learning, and agentic reinforcement (ART) Skilled in dataset curation, experimental design, and model evaluation Comfortable with tools like Agno, Pip...

Data Integration: Integrate and organise health and related data from multiple sources into a form usable by computational models. Modelling & Analysis: Implement statistical and mathematical approaches, including the use of differential equations, and contribute to developing robust, scalable models. Communication: Consolidate findings and prepare reports to effectively communicate insights to engineers, public health officials, and policymakers. Development: Work closely with data and engineering teams to develop data pipelines, data visualisations, and integrate these into a comprehensive dashboard. Innovation: Research, use, and develop AI-based tools to accelerate model development and ...

Job Summary As the Lead AI Data Scientist, you will be a pivotal player in shaping our AI strategy for healthcare applications. You will spearhead our AI initiatives, driving innovation from clinical research to real-world deployment. This role requires a unique blend of deep technical mastery in AI, strategic thinking, and leadership. You will lead a high-performing team to build next-generation AI models that solve critical healthcare problems, improve patient care, and deliver significant clinical and business value. Role & responsibilities Healthcare AI Project Leadership: Lead the end-to-end lifecycle of healthcare AI projects, from problem formulation with clinical experts to model dev...

Required Skills & Qualifications Proven experience in data science , machine learning , and forecasting models . Strong proficiency in Power BI , Python , and relevant ML libraries (e.g., scikit-learn, statsmodels). Hands-on experience with time series analysis and cost modelling . Familiarity with CDN technologies and associated cost structures is a plus. Excellent communication and stakeholder management skills. Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. Preferred Qualifications Experience working with cloud platforms (e.g., Azure, AWS) and CDN providers . Knowledge of optimisation algorithms and business strategy modelling . Prior expe...

7+ years in AI/ML model development Hands-on with TensorFlow PyTorch scikit-learn Python ML pipelines, Kafka Experience in productionizing optimizing and monitoring AI/ML models MinIO/S3/object storage AWS Sage Maker or other cloud AI/ML platforms

7+ years in AI/ML model development Hands-on with TensorFlow PyTorch scikit-learn Python ML pipelines, Kafka Experience in productionizing optimizing and monitoring AI/ML models MinIO/S3/object storage AWS Sage Maker or other cloud AI/ML platforms

Role Description : As a Senior ML Engineer / ML Ops - GCP Specialist at Incedo, you will be responsible for building and deploying machine learning models in production environments You will work with data scientists, data engineers, and software developers to design and implement machine learning pipelines You will be skilled in programming languages such as Python or Java and have experience in ML tools such as TensorFlow or PyTorch You will be responsible for ensuring that models are scalable, efficient, and can be deployed in production environments Roles & Responsibilities: Designing and developing machine learning (ML) models and algorithms Implementing and maintaining ML pipelines and...

Hiring Data Scientists to analyze requirements, translate them into actionable insights, and ensure smooth communication between the teams. Salary : INR 13,00,000 - 21,00,000 / year (based on experience) Responsibilities Develop, evaluate, and deploy models using conventional ML and newer LLM techniques. Work collaboratively with the data engineering team to produce required data assets that comply with the existing data lake governance. Actively contribute to app product development, managed through development tickets on GitHub. Translate complex findings and results into a compelling narrative for stakeholders. Promote best practices and help set up standardised, effective processes to im...

Required Skills/Qualifications: • 5 years of experience in AI/ML related work • Extensive experience in Python • Familiarity with Statistical models such as Linear/Logistic regression, Bayesian Models, Classification/Clustering models, Time Series analysis • Experience with deep learning models such as CNNs, RNNs, LSTM, Transformers • Experience with machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras • Experience with GenAI, LLMs, RAG architecture would be a plus • Familiarity with cloud services such as AWS, Azure • Familiarity with version control systems (e.g., Git), JIRA, Confluence • Familiarity with MLOPs concepts, AI/ML pipeline tooling such as Kedro • Knowle...

Job Summary: We are seeking a highly skilled Data Scientist to analyze large datasets, build predictive models, and derive actionable business insights. The ideal candidate will be proficient in statistical analysis, machine learning, and data visualization, with strong programming and problem-solving abilities. Key Responsibilities: Collect, clean, and preprocess structured and unstructured data from multiple sources. Develop and deploy predictive models, classification algorithms, and recommendation systems. Perform exploratory data analysis (EDA) to identify trends, correlations, and insights. Implement machine learning and deep learning models for various business use cases. Work closely...

Overview: At Mastercard, were building the future of intelligent infrastructurewhere data science meets automation, and AI drives operational excellence. We are looking for a Senior Data Scientist to join our Engineering team and lead the transformation of massive operations datasets into predictive insights and autonomous systems. This role is ideal for someone passionate about building scalable machine learning solutions, developing Large Language Models (LLMs), and pioneering agentic AI systems that optimize engineering workflows and decision-making. Role : As a Senior Data Scientist, you will: Analyze large-scale operations data to build predictive models for system performance, anomaly ...

We are looking for a skilled Lead Data Scientist to lead a team of Data Scientists & Data Engineers & BI/BA Professionals. The ideal candidate will apply data science principles and lead initiatives, even in uncharted areas. Strong proficiency in SQL, Python, and other data science tools and techniques is essential, as these skills will be critical in handling data analysis, modelling, and implementation tasks effectively. Key Responsibilities Work under limited supervision on assigned tasks or portions of projects to meet objectives. Provide leadership and some individual contribution to key data science projects/experiments of moderate to large scope and complexity with high impact on the ...

KEY RESPONSIBILITIES: Develop, validate, and deploy predictive, prescriptive, and scoring models to power product features and business decisions. Partner with the product management and data engineering teams to design and implement algorithms that directly impact customer experience and business growth. Drive feature engineering, model selection, and performance evaluation across diverse modeling use cases (scoring, forecasting, optimization, segmentation, simulation, NLP, etc.). Make analytical and technical decisions on modeling trade-offs (accuracy, interpretability, scalability). Ensure models are production-grade, explainable, monitored, and continuously improved as data and market co...

Solenis is a leading global producer of specialty chemicals, delivering sustainable solutions for water-intensive industries, including consumer, industrial, institutional, food and beverage, and pool and spa water markets. Owned by Platinum Equity, our innovative portfolio includes advanced water treatment chemistries, process aids, functional additives, and state-of-the-art monitoring and control systems. These technologies enable our customers to optimize operations, enhance product quality, protect critical assets, and achieve their sustainability goals. At our Global Excellence Center (GEC) in Hyderabad, we support Solenis’ global operations by driving excellence in IT, analytics, finan...

Experience : 3+ Years Location: Remote Type: Full Time Roles and Responsibilities: Develop best in class ML models, train, evaluate performance and optimize models Productionize ML models, collaborate with data engineers and ML Ops to deploy models into production while ensuring scalability Monitor and evaluate the performance of ML models Conduct analysis to extract insights from data Collaborate with data engineers to build scalable data pipelines Experience in building AI agents using frameworks like LangChain, LangGraph, MCP etc Skills: Proficiency in developing and deploying machine learning and deep learning models Expertise in Python and SQL with strong knowledge of Python based ML/DL...

About The Role : Job Summary Data Scientist designs, develops, and implements advanced analytics and generative AI models to deliver predictive and prescriptive insights from large-scale structured and unstructured data. This role partners with cross-functional teams to translate business challenges into data-driven solutions, leveraging industry-standard machine learning, generative AI, and data visualization tools to inform confident decision-making and drive innovative product creation. The Data Scientist applies cutting-edge tools and technologies across on-premises and cloud environments (including GCP Vertex AI and IBM Watsonx ) to design descriptive, predictive, and prescriptive solut...

The Data & Analytics team is responsible for integrating new data sources, creating data models, developing data dictionaries, and building machine learning models for Wholesale Bank. The primary objective is to design and deliver data products that assist squads at Wholesale Bank in achieving business outcomes and generating valuable business insights. Within this job family, we distinguish between Data Analysts and Data Scientists Requirements We are seeking a highly skilled Data Science and Machine Learning specialist with 2+ years of experience in Advanced Analytics, Statistical and ML model development. In this role, candidates will be responsible for leveraging data-driven insights and...

Do you want to work on innovative projects, collaborate with a dynamic and supportive team, and receive investment in your professional development? At DTCC, we are at the forefront of innovation in the financial markets. We are committed to helping our employees grow and succeed. We believe that you have the skills and drive to make a real impact. We foster a thriving internal community and are committed to creating a workplace that looks like the world that we serve. The Information Technology group delivers secure, reliable technology solutions that enable DTCC to be the trusted infrastructure of the global capital markets. The team delivers high-quality information through activities tha...

The AI/ML team at Trajector builds and productionizes NLP solutions that extract and utilize relevant information from unstructured text and audio to build efficient business solutions. We are seeking a highly experienced Staff Data Scientist specializing in Natural Language Processing (NLP) to lead the development and optimization of state of-the-art NLP systems for medical and legal documents processing, management and creation. The ideal candidate will have 8-10 years of relevant experience in data science, machine learning, and NLP, with a strong track record of delivering impactful solutions in complex, domain-specific contexts. Key Responsibilities: Design, develop, and deploy scalable...