1487 Data Scientist Jobs - Page 27

Role - Data Scientist / Senior Data Scientist / Data Science Manager / Data Science Senior manager / Data Science Architect Location - Kolkata/ Bangalore/ Hyderabad/ Pune/ Chennai/ Gurgaon Work Mode- Hybrid Interview Mode - F2F (Kolkata candidates) & Virtual (only for out station candidates) Specification - Classical ML / Genai Qualification: • Bachelor's or Master's degree in a quantitative field (CS, machine learning, mathematics, statistics) or equivalent experience. • 3+ years of experience in data science, building hands-on ML models/ Genai Models • Experience with LMs (Llama (1/2/3), T5, Falcon, Langchain or framework similar like Langchain) • Candidate must be aware of entire evolution history of NLP (Traditional Language Models to Modern Large Language Models), training data creation, training set-up and finetuning • Candidate must be comfortable interpreting research papers and architecture diagrams of Language Models • Candidate must be comfortable with LORA, RAG, Instruct fine-tuning, Quantization, etc. • Experience leading the end-to-end design, development, and deployment of predictive modeling solutions. • Excellent programming skills in Python. Strong working knowledge of Python’s numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, Jupyter, etc. • Advanced SQL skills with SQL Server and Spark experience. • Knowledge of predictive/prescriptive analytics including Machine Learning algorithms (Supervised and Unsupervised) and deep learning algorithms and Artificial Neural Networks • Experience with Natural Language Processing (NLTK) and text analytics for information extraction, parsing and topic modeling. • Excellent verbal and written communication. Strong troubleshooting and problem-solving skills. Thrive in a fast-paced, innovative environment • Experience with data visualization tools — PowerBI, Tableau, R Shiny, etc. preferred • Experience with cloud platforms such as Azure, AWS is preferred but not required. Show more Show less

Your day at NTT DATA The Senior Data Scientist is an advanced subject matter expert, tasked with taking accountability in the adoption of data science and analytics within the organization. The primary responsibility of this role is to participate in the creation and delivery of data-driven solutions that add business value using statistical models, machine learning algorithms, data mining, and visualization techniques. Key responsibilities: Designs, develops, and programs methods, processes, and systems to consolidate and analyze unstructured, diverse big data sources to generate actionable insights and solutions for client services and product enhancement. Designs and enhances data collection procedures to include information that is relevant for building analytic systems. Responsible for ensuring that data used for analysis is processed, cleaned and, integrally verified and build algorithms necessary to find meaningful answers. Designs and codes software programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources Provides meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers. Directs scalable and highly available applications leveraging the latest tools and technologies. Accountable for creatively visualizing and effectively communicating results of data analysis, insights, and ideas in a variety of formats to key decision-makers within the business. Creates SQL queries for the analysis of data and visualizes the output of the models. Responsible for ensuring that industry standards best practices are applied to development activities. To thrive in this role, you need to have: Advanced understanding of data modelling, statistical methods and machine learning techniques. Strong ability to thrive in a dynamic, fast-paced environment. Strong quantitative and qualitative analysis skills. Desire to acquire more knowledge to keep up to speed with the ever-evolving field of data science. Curiosity to sift through data to find answers and more insights. Advanced understanding of the information technology industry within a matrixed organization and the typical business problems such organizations face. Strong ability to translate technical findings clearly and fluently to non-technical team business stakeholders to enable informed decision-making. Strong ability to create a storyline around the data to make it easy to interpret and understand. Self-driven and able to work independently yet acts as a team player. Academic qualifications and certifications: Bachelors degree or equivalent in Data Science, Business Analytics, Mathematics, Economics, Engineering, Computer Science or a related field. Relevant programming certification preferred. Agile certification preferred. Required experience: Advanced demonstrated experience in a data science position in a corporate environment and/or related industry. Advanced demonstrated experience in statistical modelling and data modelling, machine learning, data mining, unstructured data analytics, natural language processing. Advanced demonstrated experience in programming languages (R, Python, etc.). Advanced demonstrated experience working with and creating data architectures. Advanced demonstrated experience with extracting, cleaning, and transforming data and working with data owners to understand the data. Advanced demonstrated experience visualizing and/or presenting data for stakeholder use and reuse across the business.

We are seeking an experienced Data Scientist to join our team. The ideal candidate will have a strong background in developing and deploying conversational AI solutions using Large Language Models (LLMs) and RASA framework.

Your day at NTT DATA The Senior Data Scientist is an advanced subject matter expert, tasked with taking accountability in the adoption of data science and analytics within the organization. The primary responsibility of this role is to participate in the creation and delivery of data-driven solutions that add business value using statistical models, machine learning algorithms, data mining, and visualization techniques. What youll be doing Key Responsibilities: Designs, develops, and programs methods, processes, and systems to consolidate and analyze unstructured, diverse big data sources to generate actionable insights and solutions for client services and product enhancement. Designs and enhances data collection procedures to include information that is relevant for building analytic systems. Responsible for ensuring that data used for analysis is processed, cleaned and, integrally verified and build algorithms necessary to find meaningful answers. Designs and codes software programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources Provides meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers. Directs scalable and highly available applications leveraging the latest tools and technologies. Accountable for creatively visualizing and effectively communicating results of data analysis, insights, and ideas in a variety of formats to key decision-makers within the business. Creates SQL queries for the analysis of data and visualizes the output of the models. Responsible for ensuring that industry standards best practices are applied to development activities. Knowledge and Attributes: Advanced understanding of data modelling, statistical methods and machine learning techniques. Strong ability to thrive in a dynamic, fast-paced environment. Strong quantitative and qualitative analysis skills. Desire to acquire more knowledge to keep up to speed with the ever-evolving field of data science. Curiosity to sift through data to find answers and more insights. Advanced understanding of the information technology industry within a matrixed organization and the typical business problems such organizations face. Strong ability to translate technical findings clearly and fluently to non-technical team business stakeholders to enable informed decision-making. Strong ability to create a storyline around the data to make it easy to interpret and understand. Self-driven and able to work independently yet acts as a team player. Academic Qualifications and Certifications: Bachelors degree or equivalent in Data Science, Business Analytics, Mathematics, Economics, Engineering, Computer Science or a related field. Relevant programming certification preferred. Agile certification preferred. Required Experience: Advanced demonstrated experience in a data science position in a corporate environment and/or related industry. Advanced demonstrated experience in statistical modelling and data modelling, machine learning, data mining, unstructured data analytics, natural language processing. Advanced demonstrated experience in programming languages (R, Python, etc.). Advanced demonstrated experience working with and creating data architectures. Advanced demonstrated experience with extracting, cleaning, and transforming data and working with data owners to understand the data. Advanced demonstrated experience visualizing and/or presenting data for stakeholder use and reuse across the business.

Your day at NTT DATA The Data Scientist is a seasoned subject matter expert, tasked with participating in the adoption of data science and analytics within the organization. The primary responsibility of this role is to participate in the creation and delivery of data-driven solutions that add business value using statistical models, machine learning algorithms, data mining, and visualization techniques. What youll be doing Key Responsibilities: Designs, develops, and programs methods, processes, and systems to consolidate and analyze unstructured, diverse big data sources to generate actionable insights and solutions for client services and product enhancement. Designs and enhances data collection procedures to include information that is relevant for building analytic systems. Accountable for ensuring that data used for analysis is processed, cleaned and, integrally verified and build algorithms necessary to find meaningful answers. Designs and codes software programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Accountable for providing meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers. Accountable for performing analysis using programming languages or statistical packages such as Python, pandas etc. Designs scalable and highly available applications leveraging the latest tools and technologies. Accountable for creatively visualizing and effectively communicating results of data analysis, insights, and ideas in a variety of formats to key decision-makers within the business. Creates SQL queries for the analysis of data and visualize the output of the models. Creates documentation around processes and procedures and manages code reviews. Accountable for ensuring that industry standards best practices are applied to development activities. Knowledge and Attributes: Seasoned in data modelling, statistical methods and machine learning techniques. Ability to thrive in a dynamic, fast-paced environment. Quantitative and qualitative analysis skills. Desire to acquire more knowledge to keep up to speed with the ever-evolving field of data science. Curiosity to sift through data to find answers and more insights. Good understanding of the information technology industry within a matrixed organization and the typical business problems such organizations face. Ability to translate technical findings clearly and fluently to non-technical team business stakeholders to enable informed decision-making. Ability to create a storyline around the data to make it easy to interpret and understand. Self-driven and able to work independently yet acts as a team player. Able to apply data science principles through a business lens. Desire to create strategies and solutions that challenge and expand the thinking of peers and business stakeholders. Academic Qualifications and Certifications: Bachelors degree or equivalent in Data Science, Business Analytics, Mathematics, Economics, Engineering, Computer Science or a related field. Relevant programming (Python) certification preferred. Agile certification preferred. Required Experience: Seasoned experience in a data science position in a corporate environment and/or related industry. Seasoned experience in statistical modelling and data modelling, machine learning, data mining, unstructured data analytics, natural language processing. Seasoned experience in programming languages (Python, etc.). Seasoned experience working in databases (MySQL, Microsoft SQL Server, Azure Synapse, MongoDB) Seasoned experience working with and creating data architectures. Seasoned experience with extracting, cleaning, and transforming data and working with data owners to understand the data. Seasoned experience visualizing and/or presenting data for stakeholder use and reuse across the business. Seasoned experience on working with API (creating and using APIs) Automation experience using Python scripting, UIPath, Selenium, PowerAutomate. Seasoned experience working on Linux operating system (Ubuntu)

About Ericsson Ericsson is a leading provider of telecommunications equipment and services to mobile and fixed network operators globally. Our innovative solutions empower individuals, businesses, and societies to explore their full potential in the Networked Society. We are seeking a highly skilled and experienced Data Scientist to join our dynamic team at Ericsson. As a Data Scientist, you will be responsible for leveraging advanced analytics and machine learning techniques to drive actionable insights and solutions for our telecom domain. This role requires a deep understanding of data science methodologies, strong programming skills, and proficiency in cloud-based environments. Key Responsibilities Develop and deploy machine learning models for various applications including chat-bot, XGBoost, random forest, NLP, computer vision, and generative AI. Utilize Python for data manipulation, analysis, and modeling tasks. Proficient in SQL for querying and analyzing large datasets. Experience with Docker and Kubernetes for containerization and orchestration of applications. Basic knowledge of PySpark for distributed computing and data processing. Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions. Deploy machine learning models into production environments and ensure scalability and reliability. Preferably have experience working with Google Cloud Platform (GCP) services for data storage, processing, and deployment. Qualifications Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. A Master's degree or PhD is preferred. 8-12 years of experience in data science and machine learning roles, preferably within the telecommunications or related industry. Proven experience in model development, evaluation, and deployment. Strong programming skills in Python and SQL. Familiarity with Docker, Kubernetes, and PySpark. Solid understanding of machine learning techniques and algorithms. Experience working with cloud platforms, preferably GCP. Excellent problem-solving skills and ability to work independently as well as part of a team. Strong communication and presentation skills, with the ability to explain complex analytical concepts to non-technical stakeholders. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: India (IN) || Noida Req ID: 767292 Show more Show less

Job Description: We are seeking a highly skilled and experienced Senior Data Scientist to join our team. The ideal candidate will have a strong background in data science, machine learning, and statistical analysis. As a Senior Data Scientist, you will be responsible for leading data-driven projects, developing predictive models, and providing actionable insights to drive business decisions. Key Responsibilities: Lead and manage data science projects from conception to deployment. Develop and implement machine learning models and algorithms to solve complex business problems. Analyze large datasets to identify trends, patterns, and insights. Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions. Communicate findings and recommendations to stakeholders through reports, presentations, and visualizations. Stay up to date with the latest advancements in data science and machine learning technologies. Qualifications: Bachelors or Master's in Data Science, Computer Science, Statistics, or a related field. 4+ years of experience. Strong proficiency in programming languages such as Python, R, or SQL. Experience with machine learning frameworks and libraries. Excellent analytical and problem-solving skills. Ability to work independently and as part of a team. Strong communication and presentation skills. Preferred Qualifications: Knowledge of big data & computing technologies like Apache Spark, Apache Ray Proven experience with Microsoft Azure or other cloud technologies. Experience with mathematical optimization. Familiarity with data visualization tools (Power BI, Streamlit). Familiarity with the industrial or construction supply industry.

Job Title : Data Science Location : Hyderabad, Kondapur Experience : 3-7 Years Skills: Data Science, Machine Learning, Gen AI, LLM Key Responsibilities:- Design and implement sophisticated AI applications leveraging state-of-the-art LLM technologies Develop efficient solutions for LLM integration, fine-tuning, and deployment Optimize model performance, latency, and resource utilization Build and maintain robust data pipelines for training and inference Implement advanced prompt engineering techniques and retrieval-augmented generation (RAG) Develop evaluation frameworks to measure AI system performance and output quality Collaborate with cross-functional teams to understand requirements and deliver solutions Mentor junior developers and share AI/LLM knowledge across the organization Participate in code reviews and ensure adherence to best practices. Requirement :- 5+ years of software development experience with at least 3 years focused on AI/ML technologies Strong experience working with transformer-based models and LLM APIs Proficiency in Python and relevant AI/ML frameworks (PyTorch, TensorFlow, Hugging Face) Experience with vector databases and semantic search technologies Solid understanding of prompt engineering, RAG, and fine-tuning techniques Familiarity with cloud platforms (AWS, Azure, GCP) for AI model deployment Strong problem-solving skills and attention to detail.' Experience with LLM optimization techniques like quantization and distillation Knowledge of AI evaluation metrics and benchmarking methodologies Understanding of multimodal AI systems (text, image, audio) Experience with containerization and orchestration tools (Docker, Kubernetes) Contributions to open-source AI projects or research publications Familiarity with AI ethics and responsible AI development Qualifications:- Bachelors degree in computer science, AI, Machine Learning, or related field Master's in AI, B,Tech,MCA, or related field Show more Show less

Experience working closely with other data scientists, data engineers' software engineers, data managers and business partners. 7+ years in designing, planning, prototyping, productionizing, maintaining knowledge in Python, Go, Java, SQL knowledge

LLMs - OpenAI, Gemini, CoPilot etc. Good Knowledge of RAG Pipeline Architectures Fine/Prompt/Instruction Tuning of LLMs machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn). cloud services (GCP, Azure, AWS).

Job Title: Data Scientist Location: Chennai Experience: 5-12 Years Job Summary We are seeking a highly analytical and results-driven Data Scientist with a strong background in statistics , machine learning , and data science , combined with domain knowledge in mechanical engineering and cost analysis . The ideal candidate will have experience working with Google Cloud Platform (GCP) and will play a key role in transforming engineering and operational data into actionable insights to drive business decisions. Required Skills & Experience Strong knowledge of statistics, machine learning, and data science principles Hands-on experience with Google Cloud Platform (GCP), especially BigQuery, Vertex AI, and Cloud Functions Proficiency in Python or R for data analysis and modeling Solid understanding of mechanical engineering concepts and their application in data analysis Experience with cost modeling, cost-benefit analysis, or operational performance analytics Excellent problem-solving, analytical thinking, and communication skills Ability to work with large datasets and create clear, actionable insights Show more Show less

Data Scientist - Remote Contract to Hire Move to Dubai After | Visa Sponsored Data Scientist who wants more than just a job-you want impact. Join a global leader in energy services, trusted by over 30,000 businesses -from startups to major corporations. We're part of the Global Procurement Group , with offices worldwide and a mission to drive the shift toward a low-carbon future. You'll start with a 6-month remote contract , then relocate to Dubai with full visa sponsorship to continue building smart, sustainable solutions. What You'll Be Doing: Predict trends and uncover insights from complex, messy time series data Build and deploy powerful ML models into real-world platforms Turn energy data into decisions that drive carbon reduction Mentor junior team members and shape a growing data science function What You'll Bring: Real-world experience in data architecture, mining, and modelling Hands-on skills with Python, R, SQL, and analytics tools like Google Analytics Solid understanding of statistics: regression, hypothesis testing, correlations Obsession with data accuracy and clean, high-impact results If you're ready to take your data science career global and do work that matters- let's talk. Show more Show less

As a Data Scientist, you will work with a cross-functional team to identify business challenges and provide data-driven insights. You'll be responsible for data exploration, feature engineering, model development, and production deployment of machine learning solutions. We are seeking someone passionate about working with diverse datasets and applying machine learning techniques to deliver meaningful results. Key Responsibilities: • Collaborate with internal teams to understand business requirements and translate them into data-driven solutions. • Perform exploratory data analysis, data cleaning, and transformation. • Develop and deploy machine learning models and algorithms for predictive and prescriptive analysis. • Conduct A/B testing and evaluate the impact of model implementations. • Generate data visualizations and reports to communicate insights to stakeholders. • Stay updated with the latest developments in data science, machine learning, and industry trends. Qualifications: • Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field. • 4+ years of experience working as a Data Scientist or in a similar role. • Strong proficiency in Python or R, and experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch. • Knowledge of data processing frameworks, e.g., Pandas, NumPy, Spark. • Experience with data visualization tools like Tableau, Power BI, or Matplotlib. • Ability to query databases using SQL and familiarity with relational databases. • Familiarity with cloud platforms such as AWS, Azure, or GCP is a plus. • Strong analytical, problem-solving, and communication skills. • Fluent in Spanish and/or Portuguese, with good English proficiency. Must-Have Skills: Excellent English Communication Skills Show more Show less

Data Scientist Associate Responsibilities As a selected intern, your daily tasks will include: Engaging in data science projects and analytics. Developing and implementing data models, AI, ML, deep learning, NLP, GenAI, LangChain, LLM, LLAMA, OpenAI, and GPT-based solutions. Managing data pipelines, ETL/ELT processes, and data warehousing. Utilizing Python and its libraries for advanced programming tasks. Handling data collection, management, cleaning, and transformation. Creating data visualizations using BI tools such as Power BI, Kibana, and Google Data Studio. Working with databases like MongoDB, Neo4j, Dgraph, and SQL. Leveraging cloud platforms, including GCP, AWS, Azure, Linode, and Heroku. Required Skills Python Flask Django MongoDB API Development Elasticsearch Machine Learning Artificial Intelligence Job Details Work Mode: Remote (Work From Home) Start Date: Immediate Duration: 6 months Stipend: ₹10,000 – ₹12,000 per month Industry: Information Technology & Services Employment Type: Probation of 6 Months followed by Full-time Position based on performance Show more Show less

Position: Data Scientist Location: Trivandrum Job Description : We are urgently looking for a motivated Data Scientist with a focus on Computer Vision and Machine Learning. The candidate will have a passion for solving complex problems using deep learning, image processing, and AI-driven techniques. He shall work closely with a team of data scientists, engineers, etc and to build, optimize, and deploy machine learning models for real-world applications Key Responsibilities : • Develop, train, and optimize deep learning models for image classification, object detection, segmentation, and other computer vision tasks. • Implement and fine-tune machine learning algorithms for structured and unstructured data analysis. • Preprocess and augment image/video datasets to improve model accuracy and robustness. • Work with frameworks such as YOLO, TensorFlow, PyTorch, and OpenCV to build scalable models. • Assist in deploying models to production environments, including cloud and edge computing platforms. • Collaborate with cross-functional teams to integrate AI solutions into existing workflows and products. • Stay up-to-date with the latest research and trends in AI, computer vision, and machine learning. Qualifications : • Bachelor's or master’s degree in computer science, Data Science, AI/ML, or a related field. • Minimum of 3 year of professional experience in Python programming and AI/ML integrations • Solid understanding of machine learning concepts, neural networks, and deep learning architectures. • Hands-on experience in training and optimizing computer vision models. • Familiarity with data preprocessing techniques, image annotation tools, and model evaluation metrics. • Strong problem-solving skills and the ability to work in a fast-paced environment. Joining: Immediate to less than 30 days Budget: 13 - 14 LPA Show more Show less

About Straive:- Straive is a market leading Content and Data Technology company providing data services, subject matter expertise, & technology solutions to multiple domains. Data Analytics & Al Solutions, Data Al Powered Operations and Education & Learning form the core pillars of the company’s long-term vision. The company is a specialized solutions provider to business information providers in finance, insurance, legal, real estate, life sciences and logistics. Straive continues to be the leading content services provider to research and education publishers. Our Data Solutions business has become critical to our client's success. We use technology and Al with human experts-in loop to create data assets that our clients use to power their data products and their end customers' workflows. As our clients expect us to become their future-fit Analytics and Al partner, they look to us for help in building data analytics and Al enterprise capabilities for them. With a client-base scoping 30 countries worldwide, Straive’s multi-geographical resource pool is strategically located in eight countries - India, Philippines, USA, Nicaragua, Vietnam, United Kingdom, and the company headquarters in Singapore. Roles and Responsibilities: Utilize data analytics tools and methodologies to conduct in-depth assessments and generate Fraud rules and reports on fraud trends (including Merchant Fraud, first-party and third-party fraud). Investigate suspicious activities and transactions, determine root causes and develop strategies and statistical models to prevent future occurrences. Develop Fraud rules on workflow systems Develop fraud reports for ongoing monitoring of fraud events. Generate reports and presentations outlining fraud risks, incidents, and mitigation strategies for management review. Collaborate with cross-functional teams, including risk management, operations, and compliance, to enhance fraud prevention measures. Monitor industry trends, regulatory changes, and best practices to continually enhance fraud prevention strategies. Skills Required: Bachelor's degree in engineering, technology, computer science or related field. years of proven data analytics experience in fraud prevention, risk management, or a related field candidate will possess Fraud Mitigation, first party fraud, Transactional Fraud, merchant fraud, digital fraud detection. Strong experience with Python and SQL. Familiarity with fraud detection software, risk assessment methodologies, and regulatory compliance. Excellent communication and presentation skills with the ability to convey complex information clearly and concisely. Detail-oriented with a proactive mindset toward problem-solving and risk mitigation. Ability to work collaboratively in a cross-functional team environment. Show more Show less

Job Purpose - Understand Business Processes & Data, Model the requirements to create Analytics Solutions Build Predictive Models & Recommendation Engines using state-of-the-art Machine Learning Techniques to aid Business Processes increase efficiency and effectiveness in their outcomes. Churn and Analyze the data to discover actionable insights & patterns for Business use. Assist the Function Head in Data Preparation & Modelling Tasks as required JobOutline - Collaborate with Business and IT teams for understanding and collecting data. Collect, collate, clean, process and transform large volume(s) of primarily Tabular data (Blend of Numerical, Categorical & some Text). Apply Data Preparation Techniques like Data Filtering, Joining, Cleaning, Missing Value imputation, Feature Extraction, Feature Engineering, Feature Selection, Dimensionality Reduction, Feature Scaling, Variable Transformation etc Apply as required: basic Algorithms like Linear Regression, Logistic Regression, ANOVA, KNN, Clustering (K-Means, Density, Hierarchical etc), SVM, Naïve Bayes, Decision Trees, Principal Components, Association Rule Mining etc. Apply as required: Ensemble Modeling algorithms like Bagging (Random Forest), Boosting (GBM, LGBM, XGBoost, CatBoost), Time-Series Modelling and other state-of-the-art Algorithms. Apply as required: Modelling concepts like Hyperparameter Optimization, Feature Selection, Stacking, Blending, K-Fold Cross-Validation, Bias & Variance, Overfitting etc Build Predictive Models using state-of-the-art Machine Learning techniques for Regression, Classification, Clustering, Recommendation Engines etc Perform Advance Analytics of the Business Data to find hidden patterns & insights, explanatory causes, and make strategic business recommendations based on the same Knowledge /Education BE /B. Tech – Any Stream Skills Should have strong expertise in Python libraries like Pandas & Scikit Learn along with ability to code according to requirements stated in the Job Outline above Experience of Python Editors like PyCharm and/or Jupyter Notebooks (or other editors) is a must. Ability to organize the code into Modules, Functions and/or Objects is a must Knowledge of using ChatGPT for ML will be preferred. Familiarity with basic SQL for Querying & Excel for Data Analysis is a must. Should understand basics of Statistics like Distributions, Hypothesis Testing, Sampling Techniques etc Work Experience Have an experience of at least 4 years of solving Business Problems through Data Analytics, Data Science and Modelling. Should have experience as a full-time Data Scientist for at least 2 years. Experience of at least 3 Projects in ML Model building, which were used in Production by Business or other clients Skills/Experience Preferred but not compulsory - Familiarity with using ChatGPT, LLMs, Out-of-the Box Models etc for Data Preparation & Model building Kaggle experience. Familiarity with R. Job Interface/Relationships: Internal Work with different Business Teams to build Predictive Models for them External None Key Responsibilities and % Time Spent Data Preparation for Modelling - Data Extraction, Cleaning, Joining & Transformation - 35% Build ML/AI Models for various Business Requirements - 35% Perform Custom Analytics for providing actionable insights to the Business - 20% Assist the Function Head in Data Preparation & Modelling Tasks as required - 10% Any other additional Input - Will not be considered for selection: Familiarity with Deep Learning Algorithms Image Processing & Classification Text Modelling using NLP Techniques Show more Show less

Key Responsibilities: Design, build, and maintain robust and scalable data pipelines to support analytics and reporting needs. Manage and optimize data lake architectures, with a focus on Apache Atlas for metadata management, data lineage, and governance. Integrate and curate data from multiple structured and unstructured sources to enable advanced analytics. Collaborate with data scientists and business analysts to ensure availability of clean, well-structured data. Implement data quality, validation, and monitoring processes across data pipelines. Develop and manage Power BI datasets and data models, supporting dashboard and report creation. Support data cataloging and classification using Apache Atlas for enterprise-wide discoverability and compliance. Ensure adherence to data security, privacy, and compliance policies.

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Summary: What you need to know about the role Each Data Scientist on this team has full ownership of a portfolio of a product and is responsible for end-to-end management of loss and decline rates. Day-to-day duties include data analysis, monitoring and forecasting, creating the logic for and implementing risk rules and strategies, providing requirements to data scientists and technology teams on attribute, model and platform requirements, and communicating with global stakeholders to ensure we deliver the best possible customer experience while meeting loss rate targets. Meet our team PayPal's Global Fraud Protection team is responsible for partnering with global business units to manage a variety of risk of various types, including identity fraud, account takeover, stolen financial fraud, and credit issues. This is an exciting department that plays an important role in contributing PayPal's bottom line financial savings, ensuring safe and secure global business growth, and delivering the best customer experience. This open opportunity is within the Large Merchant and Markets Fraud Risk team. This portfolio is comprised of PayPal’s newest leading-edge payments solutions, such as Risk-as-Service, Fastlane, PayPal Complete Payments, etc. as well as customized experiences developed for the company’s highest-priority strategic Markets and Partnerships. Job Description: Your way to impact You will be the Data Scientist in the Fraud Risk team , where you will work on leading new projects to build and improve the Risk strategies to prevent fraud using the Risk tooled and custom data & AL/ML models. In this position, you will be partnering with the corresponding Business Units to align with and influence their strategic priorities, educate business partners about Risk management principles, and collaboratively optimize the Risk treatments and experiences for these unique products and partners. Your day to day In your day to day role you will - In this role you will have full ownership of a portfolio of merchants and is responsible for end-to-end management of loss and decline rates. Collaborate with different teams to develop strategies for fraud prevention, loss savings, and optimize transaction declines or improve customer friction. You will work together with cross-functional teams to deliver solutions and providing Risk analytics on frustration trend/ KPIs monitoring or alerting for fraud events. These solutions will adapt PayPal’s advanced proprietary fraud prevention tools enabling business growth. What do you need to bring- 2-4 years of relevant experience working with large-scale complex dataset. Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions Excellent communication skills, equally adept at working with engineers as well as business leaders Want to build new solutions and invent new approaches to big, ambiguous, critical problems Strong working knowledge of Excel, SQL and Python/R Technical Proficiency: Exploratory Data Analysis and expertise in preparing a clean and structured data for model development. Experience in applying AI/ML techniques for business decisioning including supervised and unsupervised learning (e.g., regression, classification, clustering, decision trees, anomaly detection, etc.). Knowledge of model evaluation techniques such as Precision, Recall, ROC-AUC Curve, etc. along with basic statistical concepts. Preferred Qualification: Subsidiary: PayPal Travel Percent: 0 For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com . Who We Are: Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at [email protected] . Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community . We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Description Summary: What you need to know about the role Each Data Scientist on this team has full ownership of a portfolio of a product and is responsible for end-to-end management of loss and decline rates. Day-to-day duties include data analysis, monitoring and forecasting, creating the logic for and implementing risk rules and strategies, providing requirements to data scientists and technology teams on attribute, model and platform requirements, and communicating with global stakeholders to ensure we deliver the best possible customer experience while meeting loss rate targets. Meet our team PayPal's Global Fraud Protection team is responsible for partnering with global business units to manage a variety of risk of various types, including identity fraud, account takeover, stolen financial fraud, and credit issues. This is an exciting department that plays an important role in contributing PayPal's bottom line financial savings, ensuring safe and secure global business growth, and delivering the best customer experience. This open opportunity is within the Large Merchant and Markets Fraud Risk team. This portfolio is comprised of PayPal’s newest leading-edge payments solutions, such as Risk-as-Service, Fastlane, PayPal Complete Payments, etc. as well as customized experiences developed for the company’s highest-priority strategic Markets and Partnerships. Job Description: Your way to impact You will be the Data Scientist in the Fraud Risk team , where you will work on leading new projects to build and improve the Risk strategies to prevent fraud using the Risk tooled and custom data & AL/ML models. In this position, you will be partnering with the corresponding Business Units to align with and influence their strategic priorities, educate business partners about Risk management principles, and collaboratively optimize the Risk treatments and experiences for these unique products and partners. Your day to day In your day to day role you will - In this role you will have full ownership of a portfolio of merchants and is responsible for end-to-end management of loss and decline rates. Collaborate with different teams to develop strategies for fraud prevention, loss savings, and optimize transaction declines or improve customer friction. You will work together with cross-functional teams to deliver solutions and providing Risk analytics on frustration trend/ KPIs monitoring or alerting for fraud events. These solutions will adapt PayPal’s advanced proprietary fraud prevention tools enabling business growth. What Do You Need To Bring- 2-4 years of relevant experience working with large-scale complex dataset. Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions Excellent communication skills, equally adept at working with engineers as well as business leaders Want to build new solutions and invent new approaches to big, ambiguous, critical problems Strong working knowledge of Excel, SQL and Python/R Technical Proficiency: Exploratory Data Analysis and expertise in preparing a clean and structured data for model development. Experience in applying AI/ML techniques for business decisioning including supervised and unsupervised learning (e.g., regression, classification, clustering, decision trees, anomaly detection, etc.). Knowledge of model evaluation techniques such as Precision, Recall, ROC-AUC Curve, etc. along with basic statistical concepts. For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com Who We Are: To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com. Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply. REQ ID R0127427 Show more Show less

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Description Summary: Meet your team: This role sits within Credit card fraud risk strategy team of Global Fraud Prevention Org., focused on safeguarding our customers and business from evolving fraud threats. The team is responsible for developing and executing data-driven strategies to mitigate fraud in UK PPC portfolio. What do you need to know about the role: Global Fraud Prevention resides in the Global Risk Management (GRM) organization that supports various business lines in optimizing risk and rewards to enable profitable business growth. You will be working closely with global fraud risk professionals focusing on managing and mitigating fraud risk in the UK PayPal Credit Portfolio, Be a part of this fraud revolution and enjoy the journey being with PayPal’s growing team. Why You’ll Love It here: • Impact: Your work directly influences the success and growth of PayPal’s credit offerings. • Learning: Expect to level up your analytical and problem-solving skills every day with more challenges to solve • Growth: The credit card industry is constantly evolving, and you’ll be right there on the cutting edge, sharpening your skills and new learnings along the way. • Culture: We’re a team of passionate professionals who love challenges and are always ready to celebrate a job well done. Job Description: Your way to impact: Own the areas of Transaction Fraud risk policy: Work on Broad area of projects from Card risk strategies, acquisition and payment risk strategies, all depending on the business need. Work closely with Stakeholders: this includes Credit Risk, Product, finance teams to optimize fraud strategies and portfolio performance. Proactively identify emerging fraud trends and propose mitigation strategies . Maintain and develop Monitoring and Alerting capabilities: to clearly monitor the PPC Card program health and simplify insights for key stakeholders. Present regular updates to senior leaders: on Portfolio Health, highlights, lowlights, and actionable insights. Your day to day: In this role you will have full ownership of portfolio and is responsible for end-to-end management of Fraud loss and decline rates. Works independently and proficiently. Accountable for own results. Collaborate with different teams to develop strategies for fraud prevention, loss savings, and optimize transaction declines. Analyze and assess risks to provide informed recommendations for mitigation strategies Prepare periodic KPI reports summarizing the business units’ risk and control environment for senior management What do you need to bring: 2-5 years of domain expertise Excellent Problem-Solving Skills : Strong judgment and the ability to think strategically, creatively, and practically to address complex challenges. Advanced Analytics expertise : Proficiency in SQL, Python, Advanced Excel, Tableau, and other analytics tools, with a proven track record of using them to solve real-world problems. Exceptional communication skills : Outstanding written, verbal communication abilities, capable of translating complex technical concepts into clear, actionable insights for diverse audiences Collaboration & Influence : Strong ability to collaborate across teams, build relationships, and drive results through influence and teamwork Experience in Payments / Transaction risk management / Credit / Fraud Risk is a strong plus. ** We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply. For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com Who We Are: To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at [email protected] . Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.

Desired Skills and experience Candidates should have a B.E./B.Tech/MCA/MBA in Finance, Information Systems, Computer Science or a related field Strong experience in R programming and package development Proficiency with GitHub and unit testing frameworks. Strong documentation and communication skills. A background or work experience in biostatistics or a similar discipline (Preferred). Expert knowledge in Survival Analysis (Preferred) Statistical model deployment, and end-to-end MLOps is nice to have. Having worked extensively on cloud infrastructure, preferably Databricks and Azure. Shinydevelopment is nice to have. Can work with customer stakeholders to understand business processes and workflows and can design solutions to optimize processes via streamlining and automation. DevOps experience and familiarity with software release process. Familiar with agile delivery methods. Excellent communication skills, both written and verbal Extremely strong organizational and analytical skills with strong attention to detail Strong track record of excellent results delivered to internal and external clients Able to work independently without the needs for close supervision and also collaboratively as part of cross-team efforts Experience with delivering projects within an agile environment

Role Purpose The purpose of this role is to design, test and maintain software programs for operating systems or applications which needs to be deployed at a client end and ensure its meet 100% quality assurance parameters Do Instrumental in understanding the requirements and design of the product/ software Develop software solutions by studying information needs, studying systems flow, data usage and work processes Investigating problem areas followed by the software development life cycle Facilitate root cause analysis of the system issues and problem statement Identify ideas to improve system performance and impact availability Analyze client requirements and convert requirements to feasible design Collaborate with functional teams or systems analysts who carry out the detailed investigation into software requirements Conferring with project managers to obtain information on software capabilities Perform coding and ensure optimal software/ module development Determine operational feasibility by evaluating analysis, problem definition, requirements, software development and proposed software Develop and automate processes for software validation by setting up and designing test cases/scenarios/usage cases, and executing these cases Modifying software to fix errors, adapt it to new hardware, improve its performance, or upgrade interfaces. Analyzing information to recommend and plan the installation of new systems or modifications of an existing system Ensuring that code is error free or has no bugs and test failure Preparing reports on programming project specifications, activities and status Ensure all the codes are raised as per the norm defined for project / program / account with clear description and replication patterns Compile timely, comprehensive and accurate documentation and reports as requested Coordinating with the team on daily project status and progress and documenting it Providing feedback on usability and serviceability, trace the result to quality risk and report it to concerned stakeholders Status Reporting and Customer Focus on an ongoing basis with respect to project and its execution Capturing all the requirements and clarifications from the client for better quality work Taking feedback on the regular basis to ensure smooth and on time delivery Participating in continuing education and training to remain current on best practices, learn new programming languages, and better assist other team members. Consulting with engineering staff to evaluate software-hardware interfaces and develop specifications and performance requirements Document and demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code Documenting very necessary details and reports in a formal way for proper understanding of software from client proposal to implementation Ensure good quality of interaction with customer w.r.t. e-mail content, fault report tracking, voice calls, business etiquette etc Timely Response to customer requests and no instances of complaints either internally or externally Stakeholder Interaction Stakeholder Type Stakeholder Identification Purpose of Interaction Internal Lead Software Developer and Project Manager Regular reporting & updates Software Developers For work coordination and support in providing testing solutions External Clients Provide apt solutions and support as per the requirement Display Lists the competencies required to perform this role effectively: Functional Competencies/ Skill Leveraging Technology Knowledge of current and upcoming technology along with expertise in programming (automation, tools and systems) to build efficiencies and effectiveness in own function/ Client organization Competent Process Excellence - Ability to follow the standards and norms to produce consistent results, provide effective control and reduction of risk Expert Technical knowledge knowledge of various programming languages, tools, quality management standards and processes - Expert Competency Levels Foundation Knowledgeable about the competency requirements. Demonstrates (in parts) frequently with minimal support and guidance. Competent Consistently demonstrates the full range of the competency without guidance. Extends the competency to difficult and unknown situations as well. Expert Applies the competency in all situations and is serves as a guide to others as well. Master Coaches others and builds organizational capability in the competency area. Serves as a key resource for that competency and is recognised within the entire organization. Behavioral Competencies Formulation & Prioritization Innovation Managing Complexity Execution Excellence Passion for Results Deliver / No. / Performance Parameter / Measure - 1. Continuous Integration, Deployment & Monitoring of Software 100% error free on boarding & implementation, throughput %, Adherence to the schedule/ release plan 2. Quality & CSAT On-Time Delivery, Manage software, Troubleshoot queries Customer experience, completion of assigned certifications for skill upgradation 3. MIS & Reporting 100% on time MIS & report generation Mandatory Skills: Python, GenAI, AWS Preferred Skills: NLP , AI/ML , LLM Architect and implement Al solutions utilizing cutting-edge technologies like LLM, Langchain, and Machine Learning. AIML solution development in Azure using Python Ability to build and finetune the model to improve the performance Create own technology if off-the-shelf technology is not solving the problem. E.g changes to traditional RAG approaches, finetune LLM, create architectures. Use experience and advise leadership and team of data scientists best approaches, architectures for complex ML use cases. Lead from the front, responsible for coding, designing, and ensuring best practices & frameworks are adhered by the team. Create end to end AI systems with responsible AI principles Develop data pipelines using SQL to extract and transform data from Snowflake for Al model training and inference. Possess expertise in Natural Language Processing (NLP) & GenAI to integrate text-based data sources into the Al architecture. Collaborate with data scientists and engineers to ensure seamless integration of Al components into existing systems. Responsible for continuous communication about the team progress to keystakeholder.

About The Role Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions ? Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Collaborate with sales, pre-sales &consulting team to assist in creating solutions and propositions for proactive demand generation ii. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for recruitment, joint research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options c. Integrate model performance management tools into the current business infrastructure 3. Team Management a. Resourcing i. Support recruitment process to on-board right resources for the team b. Talent Management i. Support on boarding and training for the team members to enhance capability & effectiveness ii. Manage team attrition c. Performance Management i. Conduct timely performance reviews and provide constructive feedback to own direct reports ii. Be a role model to team for five habits iii. Ensure that the Performance Nxt is followed for the entire team d. Employee Satisfaction and Engagement i. Lead and drive engagement initiatives for the team ? Deliver No. Performance Parameter Measure 1. Demand generation Order booking 2. Revenue generation through delivery Timeliness, customer success stories, customer use cases 3. Capability Building & Team Management % trained on new skills, Team attrition % ? ? Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Description Summary: Meet your team: This role sits within Credit card fraud risk strategy team of Global Fraud Prevention Org., focused on safeguarding our customers and business from evolving fraud threats. The team is responsible for developing and executing data-driven strategies to mitigate fraud in UK PPC portfolio. What do you need to know about the role: Global Fraud Prevention resides in the Global Risk Management (GRM) organization that supports various business lines in optimizing risk and rewards to enable profitable business growth. You will be working closely with global fraud risk professionals focusing on managing and mitigating fraud risk in the UK PayPal Credit Portfolio, Be a part of this fraud revolution and enjoy the journey being with PayPal’s growing team. Why You’ll Love It here: Impact: Your work directly influences the success and growth of PayPal’s credit offerings. Learning: Expect to level up your analytical and problem-solving skills every day with more challenges to solve Growth: The credit card industry is constantly evolving, and you’ll be right there on the cutting edge, sharpening your skills and new learnings along the way. Culture: We’re a team of passionate professionals who love challenges and are always ready to celebrate a job well done. Job Description: Your way to impact: Own the areas of Transaction Fraud risk policy: Work on Broad area of projects from Card risk strategies, acquisition and payment risk strategies, all depending on the business need. Work closely with Stakeholders: this includes Credit Risk, Product, finance teams to optimize fraud strategies and portfolio performance. Proactively identify emerging fraud trends and propose mitigation strategies. Maintain and develop Monitoring and Alerting capabilities: to clearly monitor the PPC Card program health and simplify insights for key stakeholders. Present regular updates to senior leaders: on Portfolio Health, highlights, lowlights, and actionable insights. Your day to day: In this role you will have full ownership of portfolio and is responsible for end-to-end management of Fraud loss and decline rates. Works independently and proficiently. Accountable for own results. Collaborate with different teams to develop strategies for fraud prevention, loss savings, and optimize transaction declines. Analyze and assess risks to provide informed recommendations for mitigation strategies Prepare periodic KPI reports summarizing the business units’ risk and control environment for senior management What do you need to bring: 2-5 years of domain expertise Excellent Problem-Solving Skills: Strong judgment and the ability to think strategically, creatively, and practically to address complex challenges. Advanced Analytics expertise: Proficiency in SQL, Python, Advanced Excel, Tableau, and other analytics tools, with a proven track record of using them to solve real-world problems. Exceptional communication skills: Outstanding written, verbal communication abilities, capable of translating complex technical concepts into clear, actionable insights for diverse audiences Collaboration & Influence: Strong ability to collaborate across teams, build relationships, and drive results through influence and teamwork Experience in Payments / Transaction risk management / Credit / Fraud Risk is a strong plus. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply. For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com Who We Are: To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com. Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply. REQ ID R0127387 Show more Show less