254 Data Scientist Jobs

Agoda is an online travel booking platform for accommodations, flights, and more. The company builds and deploys cutting-edge technology to connect travelers with a global network of 4.7M hotels and holiday properties worldwide, along with flights, activities, and other travel services. As part of Booking Holdings and with 7,100+ employees representing 95+ nationalities in 27 markets, Agoda fosters a work environment rich in diversity, creativity, and collaboration. The company values innovation through a culture of experimentation and ownership to enhance the customer experience of exploring the world. Agoda's purpose is to bridge the world through travel, believing that travel enables people to enjoy, learn, and experience the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding, and happiness. The Data department at Agoda oversees all data-related requirements to enable and increase the utilization of data within the company. The department implements resources such as operational and analytical databases, queue systems, BI tools, and data science technology. The team is composed of skilled, driven, and diverse individuals from around the globe, working together to empower decision-making processes for business users, product managers, engineers, and other stakeholders. The Data team is dedicated to improving the search experience for customers with faster results and ensuring protection against fraudulent activities. As an ML Technical Product Manager at Agoda, you will play a crucial role in empowering employees with the tools necessary to make informed decisions and develop cutting-edge features and models for end users. You will be responsible for internal product requirements, analysis, ideation, feature design, roadmap development, project management, trainings, and ensuring the quality of solutions. The role involves conceptualizing platform capabilities to enhance external customer experiences and contribute to Agoda's goal of being a data-driven company. In this role, you will own the product lifecycle from concept to design, implementation, and analysis. You will gather and synthesize requirements from various stakeholders, lead discussions with internal customers, demonstrate strong leadership and organizational skills, and bridge the gap between business and technical aspects effectively. The ideal candidate should have technical experience in ML engineering, data science, or related roles, along with experience in technical program/product management in a fast-paced environment. Excellent interpersonal, presentation, and organizational skills are essential, as well as the ability to communicate effectively with both business and technical teams. This position requires the candidate to relocate fully to Bangkok, Thailand, where relocation support will be provided. Agoda is an Equal Opportunity Employer. Your application will be kept on file for future vacancies, and you can request to have your details removed at any time. Agoda does not accept third-party resumes and is not responsible for any fees related to unsolicited resumes.,

You are seeking a Director- AIML position based in Andheri, Mumbai. With 12-16 years of experience, you are a hands-on AI engineer or data scientist who excels in driving impactful AI initiatives in production settings. Your passion lies in solving complex problems, developing scalable systems, and staying updated on the latest AI advancements. Your must-have skills include proven expertise in framing and resolving complex problems using AI models, particularly in computer vision or NLP, and GenAI deployment at scale. You possess hands-on experience with LLMs, specializing in fine-tuning, retrieval-augmented generation (RAG), and model selection. Having worked on at least two production use cases in this domain, you are adept at selecting models and approaches based on specific use cases and their solutions. You comprehend that model building is just a part of production AI work and are familiar with maintaining high-performance AI systems. With over 6 years of experience in building and maintaining large-scale production AI systems, including optimization and tuning for deployment at scale, you ensure reliability and efficiency. Your insatiable curiosity and enthusiasm for cutting-edge research drive you to apply innovative approaches to real-world problems. Proficiency in Python and its standard libraries, along with strong skills in monitoring and debugging production AI systems for sustained reliability and efficiency, are part of your expertise. You also excel in mentoring and guiding junior engineers, sharing your knowledge to enhance the team's skills. Your ability to engage with various stakeholders, including senior leadership and demanding industry customers, is commendable. Additionally, you have some familiarity with AI Ops and related tooling to streamline AI processes and cloud experience with AWS/GCP/Azure. Desirable skills include experience with other languages, familiarity with Docker and Kubernetes for efficient service deployment, and exposure to various platforms, frameworks, and tools in the AI and machine learning ecosystem. Furthermore, any publications and patents in the AI domain would be advantageous.,

As a Data Scientist and AI expert, your primary responsibility will be to utilize your expertise in data analysis and artificial intelligence to help grow our business on Flipkart. You will be tasked with leveraging data-driven insights and advanced algorithms to optimize our operations, boost sales, and enhance customer experience on the platform. Key duties may include analyzing large datasets to identify trends, patterns, and opportunities for improvement, developing predictive models to forecast sales and customer behavior, and implementing AI solutions to automate processes and enhance decision-making. You will collaborate with cross-functional teams to understand business requirements, design solutions, and communicate findings effectively. Your insights and recommendations will play a critical role in driving strategic decisions and achieving our business objectives on Flipkart. The ideal candidate should have a strong background in data science, machine learning, and AI, with hands-on experience in Python, R, or other programming languages. A solid understanding of statistical concepts, data visualization techniques, and cloud technologies will be beneficial in this role. This is an exciting opportunity for a skilled Data Scientist and AI expert to make a significant impact on our business growth and success on the Flipkart platform. If you are passionate about leveraging data and AI to drive business outcomes, we invite you to join our team and contribute to our exciting journey ahead.,

The company is a global technology consulting and digital solutions provider with a team of over 84,000 professionals in more than 30 countries. They work with 700+ clients to drive innovation and competitive differentiation through digital technologies. As a Fullstack Developer specializing in generative AI systems, your responsibilities will include developing and implementing end-to-end solutions, collaborating with AI developers and data scientists to meet project requirements, and managing frontend website architecture and user interactions. You will also be involved in testing, troubleshooting, and enhancing the performance of fullstack applications. To excel in this role, you should have a degree in Computer Science, AI, Machine Learning, or a related field, along with proven experience in fullstack development and a strong understanding of generative AI technologies. Proficiency in programming languages such as Python, Fast API, Flask, JavaScript, HTML, and CSS is essential. Familiarity with AI and machine learning frameworks like TensorFlow, PyTorch, or Keras, as well as frontend and backend technologies like React, Angular, Vue.js, Node.js, Django, and databases like MongoDB, Postgres, and MySQL, will be beneficial. Your problem-solving skills, creativity, and ability to communicate complex concepts clearly will be key assets in this role. Experience with cloud platforms like AWS, Google Cloud, or Azure, and strong teamwork abilities are also desirable qualities. This is a full-time position based in Hyderabad, Hitech City, with a work mode of hybrid. The ideal candidate should have 3 to 5 years of work experience and be available to start with a notice period of 0 to 30 days. Key Skills: Data Scientist, Gen AI, Python, Fast API If you meet the requirements and are excited about the opportunity to work on cutting-edge generative AI projects, we look forward to receiving your application.,

The Senior AI Engineer - Agentic AI position at JMD Megapolis, Gurugram requires a minimum of 5+ years of experience in Machine Learning engineering, Data Science, or similar roles focusing on applied data science and entity resolution. You will be expected to have a strong background in machine learning, data mining, and statistical analysis for model development, validation, implementation, and product integration. Proficiency in programming languages like Python or Scala, along with experience in working with data manipulation and analysis libraries such as Pandas, NumPy, and scikit-learn is essential. Additionally, experience with large-scale data processing frameworks like Spark, proficiency in SQL and database concepts, as well as a solid understanding of feature engineering, dimensionality reduction, and data preprocessing techniques are required. As a Senior AI Engineer, you should possess excellent problem-solving skills and the ability to devise creative solutions to complex data challenges. Strong communication skills are crucial for effective collaboration with cross-functional teams and explaining technical concepts to non-technical stakeholders. Attention to detail, ability to work independently, and a passion for staying updated with the latest advancements in the field of data science are desirable traits for this role. The ideal candidate for this position would hold a Masters or PhD in Computer Science, Data Science, Statistics, or a related quantitative field. They should have 5-10 years of industry experience in developing AI solutions, including machine learning and deep learning models. Strong programming skills in Python and familiarity with libraries such as TensorFlow, PyTorch, or scikit-learn are necessary. Furthermore, a solid understanding of machine learning algorithms, statistical analysis, data preprocessing techniques, and experience in working with large datasets to implement scalable AI solutions are required. Proficiency in data visualization and reporting tools, knowledge of cloud platforms like AWS, Azure, Google Cloud for AI deployment, familiarity with software development practices, and version control systems are all valued skills. Problem-solving abilities, creative thinking to overcome challenges, strong communication, and teamwork skills to collaborate effectively with cross-functional teams are essential for success in this role.,

As an Industry 4.0 (I4.0) Analyst at Micron Technology, Inc., you will report to the Smart Manufacturing and Artificial Intelligence organization. The team defines, drives and delivers end to end smart manufacturing solution, integrated across functions of the business. The team will apply industry-leading best methodologies in automation, AI and machine learning to enhance Micron's product development, business and administrative processes across the company. You will work with a team of Data Scientists and Data Engineers, making an important contribution to the design, analysis, and implementation of data science solutions and business improvement ideas. You will also work closely with key customers to ensure positive impact and sustainable results. In this role, you will have the following responsibilities: - Collaborate with Data Engineers & Data Scientists to deliver I4.0 projects that require the coordination and support of resources from global teams - Work closely with procurement category teams to implement I4.0 use cases, find opportunities and support delivery of financial/operational impact in collaboration with category and program management teams - Work with I4.0 solution end-users to define requirements, diagnose, design, and analyze information related to the adoption of I4.0 solutions - Quantify, track, and monitor financial/operational impact of I4.0 solutions to the business - Identify new I4.0 use-cases and standard methodologies across strategic and operational procurement processes - Develop case, including impact validation approach, ROI of potential solutions and prioritize & propose projects for implementation - Implement best-in-class external procurement solutions working closely together with startups and established technology providers - Ability to think critically and break down complex data/processes to identify key levers and applicable solutions Qualifications: - At least 3-5 years of work experience in Procurement or similar operations functions - Familiarity with procurement processes, systems, and solutions preferably in the semiconductor industry - Excellent interpersonal skills with demonstrable ability to effectively lead and present to small and large groups - Proven ability to work multi-functionally with peers, senior and mid-level management - Peer leadership and relationship management skills - Strong analytical and problem-solving skills - Highly organized and ability to remain flexible to the changing business needs Good to have: SQL queries, database, Tableau dashboarding experience Micron Technology, Inc. is an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron and Crucial brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_in@micron.com Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.,

Advanced Process Control (APC) Python, R data visualization tools (e.g., PI Vision, Power BI, Tableau, Grafana is a plus. machine learning (ML) models OSIsoft PI System.

As a member of the EY Consulting team, you will be supporting clients in achieving their strategic transformations to promote sustainable and inclusive economic growth and contribute to building a better world of work. EY Consulting's expertise spans across Risk Consulting, Business Consulting, Technology Consulting, and People Consulting, leveraging strong sector-specific knowledge. Being part of the EY Europe West network, a leading consultancy in the region, EY Consulting France provides its 1200 employees with: - Opportunities to work with top international clients in their respective sectors within diverse and multicultural teams - Possibilities for geographic mobility - Membership in international competency and sector-specific communities comprising top-notch professionals in Europe The current environment presents numerous challenges and uncertainties coupled with increasing competition. To unlock their full potential and ensure success, companies must continuously enhance their performance and manage risks, including technological risks related to information systems, digital technologies, and emerging technologies. In line with our ambition to grow at a rate of 1.5 to 2 times the market pace, we are expanding our Risk Consulting team by hiring high-caliber Managers and Senior Managers to strengthen our Responsible AI consulting offering in areas such as AI governance, use case assessment, AI ethics, and compliance with regulations. Your Responsibilities: In this role, you will: - Collaborate with multidisciplinary teams (Data Science, Legal, Cybersecurity, Risk) on complex projects to help clients enhance their performance and manage digital risks - Support General, Financial, Operational, and Information Systems Management in various areas such as risk management, AI governance, compliance, risk analysis, data quality, technological solutions, organizational modernization, and regulatory compliance Additionally, as a Manager or Senior Manager, you will: - Develop and nurture your client portfolio - Contribute to business proposals - Enhance consulting offerings - Lead consultant teams - Independently deliver client activities and outputs - Provide value to clients through your expertise in business processes and sectors - Actively engage in team activities and continuous learning opportunities Our Advantages: SmartWorking at EY enables you to choose work methods that best suit your missions, balancing your preferences/commitments with client services for a transformative work experience. Your Profile: - You hold a higher education degree and have a successful track record of at least 6 years in audit or consultancy, or as a Machine Learning engineer/Data Scientist, with strong knowledge of business processes. Experience in Responsible AI/Data Privacy and/or AI Ethics is a plus. - You possess problem-solving skills, excellent analytical abilities, project management acumen, and a customer-centric approach - Recognized for your communication skills, service orientation, and proficiency in English - Strong commercial development experience - An entrepreneurial mindset with a passion for shaping the Risk Consulting department's evolution Join us in embracing the digital revolution and organizational transformation at EY Consulting, where our diverse roles, team excellence, extensive networks, continuous self-improvement, high-quality standards, and professional ethics form the basis of our reputation and future success. Experience EY Consulting be part of our journey! EY is committed to diversity and encourages applications from all qualified candidates, including those with disabilities.,

You will join our dynamic team as a highly skilled Data Scientist, where you will be tasked with analyzing large datasets, developing predictive models, and offering actionable insights to facilitate informed business decisions. Your responsibilities will include collecting, processing, and analyzing extensive datasets to extract valuable insights. Furthermore, you will be developing and deploying predictive models and machine learning algorithms. Collaboration with cross-functional teams to identify business opportunities and promote data-driven decision-making will be a crucial aspect of your role. Moreover, you will be responsible for creating data visualizations and reports to effectively communicate your findings to stakeholders. It will be expected of you to continually enhance data collection and analysis processes. To qualify for this position, you should hold a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field. Demonstrable experience as a Data Scientist or in a similar capacity is essential. Proficiency in statistical methods and machine learning techniques is required, as well as expertise in programming languages like Python, R, or SQL. Strong analytical and problem-solving skills will be key to excelling in this role.,

As a Senior Software Engineer specializing in Data Science, you are expected to bring 3 to 6 years of experience to the role. Your expertise will be crucial in driving our projects forward and achieving our goals. Working at our location in Airoli, Navi Mumbai, you will adhere to office hours from 11 AM to 8 PM across 5 days a week. Your primary responsibility will be to leverage your 3 years of experience as a Data Scientist and a minimum of 3 years of proficiency in Python programming to design, develop, and maintain Python-based applications with a focus on ML and AI. Additionally, you should possess at least 1+ years of experience in ML & NLP, 1.5 years of experience with LLMs and generative AI (GenAI), and 2 years of experience with any database. Your role will also involve deploying ML models/Python applications on Azure or AWS, and familiarity with LLMOps will be considered a plus. In this position, you will design and optimize ML/NLP models and integrate them into production systems. You will be responsible for implementing and fine-tuning LLMs and GenAI solutions for business applications, managing database structures to support ML applications and data pipelines, and deploying and monitoring ML models in cloud environments such as AWS/Azure. Collaboration is key in our work environment, and you will be expected to work closely with cross-functional teams to deliver effective solutions. Your ability to write clean, efficient, and well-documented code will be essential. Participation in code reviews, providing feedback, troubleshooting technical issues in production, and staying updated with emerging trends in ML, NLP, and GenAI are all vital aspects of this role.,

As a S&C GN AI - Insurance AI Consulting Manager at Accenture, you will play a crucial role in driving strategic initiatives, managing business transformations, and utilizing industry expertise to develop value-driven solutions. Your responsibilities will include providing strategic advisory services, conducting market research, and offering data-driven recommendations to enhance business performance. At Accenture, you will have the opportunity to be part of the Accenture Global Network, a unified powerhouse that integrates Strategy & Consulting with Data and Artificial Intelligence. This dynamic environment is central to Accenture's future growth, providing continuous learning and growth opportunities for individuals. You will join a diverse, vibrant global community that constantly pushes the boundaries of business capabilities. Accenture's recognition as the 10th on the 2023 World's Best Workplaces list underscores its commitment to being a great place to work. In this role, you will need to have a complete understanding of machine learning and AI, interact with clients to understand their requirements, and translate them into business frameworks by providing advanced analytics solutions. Additionally, you will manage a team of data scientists and data engineers, provide coaching on team management and advanced analytical concepts, and demonstrate excellent written and verbal communication skills. The ideal candidate for this position will have a Bachelor's degree in economics, mathematics, computer science/engineering, operations research, or related analytics areas, along with an MBA from a top-tier academic institution. You should have a minimum of 7 years of experience in Advanced Analytics, with at least 4 years of experience in the Insurance domain. Experience in dual shore engagement, direct client management, new business development, and leading analytics teams is essential. You should possess superior analytical and problem-solving skills, along with the ability to thrive in a fast-paced, dynamic environment. This role offers the opportunity to work on innovative projects, experience career growth, and gain exposure to leadership opportunities. If you are a motivated individual with a solution-oriented mindset and the ability to create market-leading solutions, we encourage you to apply for this exciting position at Accenture.,

#GenerativeAI Experts ready for AI race, this is for you! Announcing Hexaware conducting Walkin Drive for AI Engineer and Lead Data Scientist (GenAI)-Noida Location-3rd Aug 2025(Sunday) Interested candidates share your CV at umaparvathyc@hexaware.com Open Positions: AI Engineer/Lead Data Scientist (GenAI) AI Engineer Experience- 3+years Lead Data Scientist (GenAI) Experience- 7+years Notice Period- 15 days/30days Max (who serving Notice Period) Walkin Drive Location- Noida Date of drive- 3rd Aug 2025(Sunday) Must have Experience: LLM, Advance RAG, NLP, transformer model, LangChain Technical Skill: 1. Strong Experience in Data Scientist (GENAI) 2. Proficiency with Generative AI models like GANs, VAEs, and transformers 3. Expertise with cloud platforms (AWS, Azure, Google Cloud) for deploying AI models 4. Strong Python Fast API experience, SDA based implementations for all the APIs 5. Knowledge of Agentic AI concepts and applications

About Us At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities, and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We're devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow, and make an impact, along with the power to make a difference. Join us! Global Business Services Global Business Services delivers Technology and Operations capabilities to Lines of Business and Staff Support Functions of Bank of America through a centrally managed, globally integrated delivery model and globally resilient operations. Global Business Services is recognized for flawless execution, sound risk management, operational resiliency, operational excellence, and innovation. In India, we are present in five locations and operate as BA Continuum India Private Limited (BACI), a non-banking subsidiary of Bank of America Corporation and the operating company for India operations of Global Business Services. Process Overview Document, Content & Record Services Technology (DCRS) is an enterprise-wide capability, managing documents, e-signature transactions, and the creation, storage, and fulfillment of billions of letters and statements annually. DCRS capabilities are at the forefront of the digital evolution as they drive a significant reduction in paper and manual processes. Job Description - 7+ years as Data Scientist or related roles - Deep understanding and some exposure to new Gen AI Open-source Models - At least 5 years programming experience in software development and Agile processes - At least 5 years Python (or equivalent) programming experience to work with ML/NLP models - We're looking for a Python Developer who can be responsible for designing, building, and maintaining document capture applications - The ideal candidate will have a solid background in software engineering with experience in building Machine Learning & NLP Models and good familiarity with Gen AI Models Responsibilities - Building Machine Learning & NLP Models and knowledge of new Gen AI Open-source Models Requirements - Experience in setting up supervised & unsupervised learning ML/NLP models including data cleaning, data analytics, feature creation, model selection & ensemble methods, performance metrics & visualization - Experience in ML/NLP development pipelines of large datasets, both structured & unstructured - At least 2 years" experience in designing and developing enterprise-scale ML/NLP solutions in one or more of: Named Entity Recognition, Document Classification, Document Summarization, Topic Modeling, Dialog Systems, Sentiment Analysis, OCR text processing - Knowledge and hands-on experience working with OCR products Education - Bachelors /masters degree in computer science/data science, or a related technical field - Certifications If Any: NA Experience Range - 06 Years To 12 Years Foundational Skills - Good experience as Data Scientist or related roles - Deep understanding and some exposure to new Gen AI Open-source Models - At least 5 years programming experience in software development and Agile processes - At least 5 years Python (or equivalent) programming experience to work with ML/NLP models - Experience in setting up supervised & unsupervised learning ML/NLP models including data cleaning, data analytics, feature creation, model selection & ensemble methods, performance metrics & visualization - Experience in ML/NLP development pipelines of large datasets, both structured & unstructured - At least 2 years" experience in designing and developing enterprise-scale ML/NLP solutions in one or more of: Named Entity Recognition, Document Classification, Document Summarization, Topic Modeling, Dialog Systems, Sentiment Analysis, OCR text processing - Knowledge and hands-on experience working with OCR products Desired Skills - Collaborating with a diverse set of partners and stakeholders from various Lines of Business - Highly motivated, proactive, and a self-starter; strong sense of ownership & ability to create and execute plans without daily oversight - Critical thinker: ability to analyze problems and identify issues and provide solutions - Ability to navigate the enterprise & data assets across multiple functions - Highly organized - Effectively prioritizes and balances multiple efforts in a fast-paced environment - Excellent communication and Presentation skills - Analytical abilities & great problem-solving skills Work Timings - 11:00 AM to 8:00 PM IST Job Location - Mumbai, Gurugram, GIFT, Chennai,

Designation : Data Scientist Experience : 7+ Years Work Mode: Anywhere in South India ( Trivandrum/Kochi/Chennai/Bangalore/Hyderabad) - Hybrid Notice Period: Immediate Joiners/ Serving Notice Period Job Description : Skills Machine Learning, Statistical Analysis, Data Visualization, Expert Level Programming(Python) Skills/Experience: MSc/PhD in Mathematics, Statistics, Data Science, Computer Science, or related field, or equivalent extensive work experience. Substantial experience (7+ years) as a Data Scientist or in a similar senior role, with a proven track record in consulting or client-facing environments. Demonstrated expertise in creating actionable insights that drive business value, with the ability to communicate complex findings to C-level executives and non-technical stakeholders. Advanced proficiency in data science programming languages (e.g., Python, R, SQL) with a portfolio of complex projects and contributions to open-source communities. In-depth knowledge and hands-on experience in deploying ML models and advanced analytics in cloud production environments. Relevant certifications (e.g., AWS, Azure, GCP) are highly desirable. Proven ability to lead and mentor teams, with excellent project management and stakeholder management skills. Track record of thought leadership, such as conference presentations, published papers, or patents in the field of data science or machine learning. Sincerely, Sonia TS

As a Data Scientist at Micron Technology in Sanand Gujarat, you will have the opportunity to play a pivotal role in transforming how the world uses information to enrich life for all. Micron Technology is a global leader in innovating memory and storage solutions, driving the acceleration of information into intelligence and inspiring advancements in learning, communication, and progress. Your responsibilities will involve a broad range of tasks, including but not limited to: - Developing a strong career path as a Data Scientist in highly automated industrial manufacturing, focusing on analysis and machine learning of terabytes and petabytes of diverse datasets. - Extracting data from various databases using SQL and other query languages, and applying data cleansing, outlier identification, and missing data techniques. - Applying the latest mathematical and statistical techniques to analyze data and identify patterns. - Building web applications as part of your job scope. - Utilizing Cloud-based Analytics and Machine Learning Modeling. - Building APIs for application integration. - Engaging in statistical modeling, feature extraction and analysis, feature engineering, supervised/unsupervised/semi-supervised learning. - Demonstrating proficiency in data analysis and validation, as well as strong software development skills. In addition to the above, you should possess above-average skills in: - Programming fluency in Python. - Knowledge of statistics, machine learning, and other advanced analytical methods. - Familiarity with javascript, AngularJS 2.0, and Tableau, with a background in OOPS considered an advantage. - Understanding pySpark and/or libraries for distributed and parallel processing. - Experience with Tensorflow and/or other statistical software with scripting capabilities. - Knowledge of time series data, images, semi-supervised learning, and data with frequently changing distributions is a plus. - Understanding of Manufacturing Execution Systems (MES) is beneficial. You should be able to work in a dynamic, fast-paced environment, be self-motivated, adaptable to new technologies, and possess a passion for data and information with excellent analytical, problem-solving, and organizational skills. Furthermore, effective communication with distributed teams (written, verbal, and presentation) and the ability to work collaboratively towards common objectives are key attributes for this role. To be eligible for this position, you should hold a Bachelors or Masters degree in Computer Science or Electrical/Electronic Engineering, with a CGPA of 7.0 and above. Join Micron Technology, Inc., where our relentless focus on customers, technology leadership, and operational excellence drives the creation of high-performance memory and storage products that power the data economy. Visit micron.com/careers to learn more about our innovative solutions and opportunities for growth. For any assistance with the application process or to request reasonable accommodations, please reach out to hrsupport_india@micron.com. Micron Technology strictly prohibits the use of child labor and complies with all applicable laws, rules, regulations, and international labor standards. Candidates are encouraged to use AI tools to enhance their application materials, ensuring accuracy and truthfulness in representing their skills and experiences. Fabrication or misrepresentation will lead to immediate disqualification. As a Data Scientist at Micron Technology, you will be part of a transformative journey that shapes the future of information utilization and enriches lives across the globe.,

Responsibilities Lead the development and implementation of advanced machine learning models and statistical analyses to solve complex business problems Collaborate with business stakeholders to understand requirements and translate them into analytical solutions Manage a team of business intelligence experts Work closely together with the technology teams in implementing new techniques into the Bank environments Develop predictive models for risk assessment, fraud detection, customer behavior analysis or forecasting Create and maintain detailed documentation of methodologies, models, and processes Design and build scalable data pipelines and ETL workflows Present findings and recommendations to senior management and stakeholders Monitor model performance and implement improvements as needed Ensure compliance with banking regulations and data governance policies Qualifications Education: Master's degree or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or related field Professional certifications in relevant technologies or methodologies are a plus Experience: 10+ years of experience in data science, with at least 4 years in the banking/financial services sector Proven track record of successfully implemented machine learning models in production Minimum 3 years of experience managing and leading data science teams Demonstrated experience in building and developing high-performing teams Technical Skills: Advanced knowledge of machine learning algorithms and statistical modeling Strong expertise in Python, R, or similar programming languages Proficiency in SQL and experience with big data technologies (Hadoop, Spark, Databricks) Experience with deep learning frameworks Knowledge of cloud platforms (AWS, Azure, or GCP) Expertise in data visualization tools (Tableau, Power BI, Qlik) Strong understanding of version control systems (Git) Experience with MLOps and model deployments Business Skills: Proven people management and leadership abilities Experience in resource planning and team capacity management Excellent problem-solving and analytical thinking abilities Strong communication and presentation skills Ability to translate complex technical concepts to non-technical stakeholders Experience in agile development methodologies Understanding of banking and financial services domain Domain Knowledge: Understanding of risk management, compliance, products and regulatory requirements in banking Knowledge of financial markets and instruments is a plus

Role & responsibilities Job Description: As a Senior Data Scientist specializing in Fraud and Anomaly Detection , you will play a pivotal role in developing and implementing advanced models and algorithms to detect fraudulent activities and anomalies within complex datasets. You will leverage your expertise in Graph Anomaly Detection and Graph Neural Networks to enhance our anomaly detection capabilities. Key Responsibilities: o Experience: o Candidate must have hands-on experience in the field of Anomaly/Fraud/Outlier Detection and the connected technologies. Advanced Model Development and Implementation: o Design and develop sophisticated machine learning models specifically tailored for fraud and anomaly detection using state-of-the-art techniques. Implement Graph Neural Networks (GNNs) using PyTorch Geometric to capture complex relationships and dependencies in graph-structured data. o Develop algorithms for Graph Anomaly Detection, focusing on node, edge, and subgraph anomaly identification. o Have a know-how of various Graph Neural Network algorithms like GCN, GraphSAGE, GAT, GINE, Graph Message Passing, Hetero Graph Learning etc. o Have very good understanding and know how of various NLP techniques and models like BERT, Text Classification, Text Extraction, LLMs and LLM Fine-Tuning etc. Data Analysis and Feature Engineering: o Perform in-depth exploratory data analysis (EDA) to uncover hidden patterns and insights related to fraudulent activities. o Engineer features from large-scale datasets, including constructing graph-based features such as node embeddings, edge attributes, and graph metrics. Utilize techniques such as spectral clustering and community detection to enhance feature representation in graph data. o Utilize various nlp techniques for data cleaning, visualization, data pre-processing and data preparation o Research and Innovation: o Conduct cutting-edge research on emerging methodologies in fraud detection, anomaly detection, and graph-based machine learning. INTERNAL o Experiment with novel architectures and algorithms, such as attention mechanisms in GNNs, to improve detection capabilities. o Prototype and evaluate new approaches using rigorous experimental design and statistical validation. o Collaboration and Communication: o Work closely with other data scientists to ensure seamless integration of models into production environments, optimizing for scalability and performance. o Collaborate with software developers to implement efficient data pipelines and real-time processing systems. Technical Skills: o Programming and Libraries o Proficiency in Python, with extensive experience in libraries such as PyTorch, PyTorch Geometric, TensorFlow, Keras, Transformers and Scikit-learn. o Candidate must know how to work with Graph Based Machine Learning and NLP. o Experience with graph processing frameworks and libraries, such as NetworkX and DGL (Deep Graph Library). o Machine Learning and Deep Learning: o Strong understanding of machine learning algorithms, including supervised, unsupervised, and semi-supervised learning techniques. o Expertise in deep learning architectures, particularly those applicable to graph data, such as Graph Neural Networks like GAT, GraphSAGE etc Preferred candidate profile

Key Responsibilities Design and implement machine learning models to address business challenges using structured and semi-structured data. Create Proof of concepts (POCs) / Minimum Viable Products (MVPs), then guide them through to production deployment and operationalization of projects Develop and embed automated processes for predictive model validation, deployment, and implementation Work on multiple pillars of AI including cognitive engineering, conversational bots, and data science Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL, Hadoop/Hive, Scala) Good hands-on skills in both feature engineering and hyperparameter optimization Experience producing high-quality code, tests, documentation Build end-to-end ML pipelines in collaboration with data engineering and product teams. Use Google Vertex AI components such as: Vertex Pipelines AutoML and Custom Training Vertex AI Workbench / Notebooks Vertex Feature Store Optimize model training, deployment, and monitoring workflows using MLOps best practices. Translate business requirements into analytical models with measurable outcomes. Required Skills 2-4 years of experience in data science and applied machine learning. Expertise in: Python, SQL, R, TensorFlow or PyTorch Feature engineering, model tuning, evaluation, and interpretation 1 year of experience working with Google Vertex AI or similar GCP ML tools. Strong grasp of machine learning concepts: supervised/unsupervised learning, recommendation engines, time series forecasting, etc. Exposure to BigQuery, Cloud Storage, or Dataflow for large-scale data manipulation. Preferred Skills Vertex AI Pipelines and Feature Store ML lifecycle automation and CI/CD for ML (MLflow, TFX, etc.) Docker, Airflow, or Cloud Composer for orchestration Google Cloud certifications (e.g., Professional Data Engineer, ML Engineer) are a plus. Interested candidates can share resume at- ashurustagi@kpmg.com

We are looking for Data Scientist / Pricing Scientist / Sr.Data Scientist Company: AurumData Solutions (I) Pvt Ltd Client: MNC Experience: 4+ years Location: Hyderabad Job Mode: C2H Duration: 1yr+Ext Work Type: Hybrid Key Skills: Data Scientist / Pricing Scientist, Python, Data Analytics, Retail / Ecommerce, R, PowerBI, Snowflake/SQL and cloud technologies Required Skills: Min 4 to 8 years of relevant experience as Sr. data scientist or pricing scientist in retail / e-commerce analytics in similar industry and business function. Masters/PhD in management science, data science, economics, mathematics from reputed institutes is a must. Should have strong fundamental understanding of price elasticity, price-demand curves, econometrics and optimizations techniques. Strong applied knowledge of machine learning covering the landscape of classification, regression and with in-depth interpretation of outcomes for pricing and promotions Advance level proficiency in python/R, PowerBI, Snowflake/SQL and cloud technologies Ability to effectively communicate and explain the analytical model approach and output with the business stakeholders Experience of developing a powerful storyline to provide meaningful insights for senior leadership consumption Applicants should have strong fundamental understanding and research experience in Data Wrangling, Statistical Analysis, Predictive Modeling using Machine Learning (Regression and Classification), Clusters Segmentation, Time Series Forecasting (ARIMA, SARIMAX) etc. If you are interested, kinldy share your profiles to Balaram@aurumdatasolutions.com Regards, Balaram K Mobile No: +91- 9000749410 Email: Balaram@aurumdatasolutions.com

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. In this role, you will play a key role in seeking an exceptional Data Scientist with specialized expertise in developing multi-agent AI systems. You will design, implement, and optimize complex AI ecosystems where multiple intelligent agents collaborate to solve sophisticated problems. Leverage your deep understanding of generative AI, retrieval-augmented generation (RAG), and prompt engineering to create cutting-edge solutions that push the boundaries of artificial intelligence. Design and develop generative AI-based multi-agent systems that can collaborate, communicate, and coordinate to achieve complex objectives. Architect and implement RAG-based chatbot solutions that effectively leverage knowledge bases and external data sources. Create sophisticated prompt engineering strategies to optimize AI agent behavior and inter-agent communication. Build, train, and fine-tune generative AI models for various applications within multi-agent systems. Develop robust evaluation frameworks to measure and improve multi-agent system performance. We recognize the significance of flexible work arrangements to provide support. Be it remote work or flexible work hours, you will get an environment to maintain a healthy work-life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market-leading capabilities in AI, generative AI, cloud, and data, combined with its deep industry expertise and partner ecosystem.,

As a Data Scientist/Analyst at A.com, you will be a part of the Digital Media (DMe - Consumer business) and Digital Experience (DX - Enterprise business) product analytics teams. Your primary responsibilities will involve utilizing analytics tools such as Adobe Experience Cloud and Big Data Platform to drive deeper customer analytics and insights across various web surfaces including Adobe.com, mobile, web apps, and desktop apps. Your key responsibilities will include: - Utilizing analytics tools like Adobe Experience Cloud and Hive/SQL to analyze data and deliver insights on visitor/customer behavior across key Adobe business surfaces. - Drawing insights from structured and unstructured data to understand market dynamics, visitor behavior, and surface performance metrics. - Collaborating with various teams to understand end-to-end customer journeys, support measurement processes, and track business targets. - Creating, enhancing, and applying various models for Forecasting, SEO, LTV, Optimization, and more. - Owning SEO analytics, including data mart and dashboards, and updating leadership on SEO evolutions. - Setting business targets for Adobe business surfaces using data science models and forecasting methodologies. - Reviewing test hypotheses, developing growth plans, and providing actionable insights to key business stakeholders. - Understanding customer intent through voice of the customer analytics and providing insights for business stakeholders. - Drawing meaningful insights from various Adobe data sources to optimize growth and engagement KPIs. - Partnering with data engineering team to create reports and dashboards for effective communication of insights. At Adobe, we are committed to creating exceptional employee experiences and promoting equal opportunities for all. If you require any accommodations due to a disability or special need, please contact us at accommodations@adobe.com or call (408) 536-3015.,

Data mining or extracting usable data from valuable data sources. Using machine learning tools to select features, create and optimize classifiers. Processing, cleansing, and validating the integrity of data to be used for analysis. Required Candidate profile Should have exp of Data Science, Machine learning, Hive, Hadoop,Python, SQL, NLP, Gen AI etc. Should have Team handling and US Client handling exp. Pharma / biotech / healthcare industry preferred

Hi, Greetings from Sun Technology Integrators!! This is regarding a job opening with Sun Technology Integrators, Bangalore. Please find below the job description for your reference. Kindly let me know your interest and share your updated CV to nandinis@suntechnologies.com ASAP. Strong background in traditional AI/ML Experience building GenAI chatbots, agents, implementing tools with Gemini or similar vendors Fine tuning experience of LLMs Ability to work with LLM APIs Experience with modern Generative AI development frameworks and tools (LangChain, Vector DBs) Agentic Frameworks (e.g., LangGraph, CrewAI, ). Experience with prompt engineering Experience with RAG architecture Experience in Google Cloud and Vertex AI Experienced with Python Please let me know, if any of your friends are looking for a job change. Kindly share the references. Please Note: WFO- Work From Office (No hybrid or Work From Home) Shift Details: IST Shift - 12.30 PM to 9.30 PM IST -2 ways free cab facility(Pickup+Drop) Years of Exp-5 to 10 years Interview Mode- 2 rounds Virtual interview Thanks and Regards, Nandini S | Sr.Technical Recruiter Sun Technology Integrators Pvt. Ltd. nandinis@suntechnologies.com www.suntechnologies.com

Looking for Immediate to 15 days joiners. Mandatory Skills DataIku for ETL operations and preferably other ETL tools like Informatica. Good in Python coding, SQL, GIT Proven experience as a Data Engineer, Data Integration, Data Analyst. Key Roles & Responsibilities 7+ years of experience, including 2+ years of experience in delivering projects in DataIku platforms. Proficiency in configuring and optimizing Dataikus architecture, including data connections, security settings and workflow management. Hands-on experience with Dataiku recipes, Designer nodes, API nodes & Automation nodes with deployment. Expertise in python scripting, automation and development of custom workflows in Dataiku Collaborate with data analyst, business stakeholders and client to gather and understand the requirement. To contribute to the developments in DataIku environment to apply data integration with given logic to fulfil Bank Regulatory requirement and other customer requirement. Gather, analyse and interpret requirement specifications received directly from the client. Ability to work independently and effectively in a fast-paced, dynamic environment. Strong analytical and problem-solving skills. Familiarity with agile development methodologies. Participate in the CR/Production deployment implementation process through Azure DevOps.

We are looking for AI/ML role ML Libraries & Frameworks: TensorFlow, PyTorch, and scikit-learn ML Architectures: Deep Learning, and Natural Language Processing LLM: LangChain, LangGraph Container: Docker, Kubernetes Gen AI is Must The interview will be conducted on 5th July 2025(Saturday Virtually Apply only if available).