397 Svm Jobs - Page 6

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Senior Data Scientist We are the global technology company behind the world’s fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless®. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities. The Mastercard Launch program is aimed at early career talent, to help you develop skills and gain cross-functional work experience. Over a period of 18 months, Launch participants will be assigned to a business unit, learn and develop skills, and gain valuable on the job experience. Mastercard has over 2 billion payment cards issued by 25,000+ banks across 190+ countries and territories, amassing over 10 petabytes of data. Millions of transactions are flowing to Mastercard in real-time providing an ideal environment to apply and leverage AI at scale. The AI team is responsible for building and deploying innovative AI solutions for all divisions within Mastercard securing a competitive advantage. Our objectives include achieving operational efficiency, improving customer experience, and ensuring robust value propositions of our core products (Credit, Debit, Prepaid) and services (recommendation engine, anti-money laundering, fraud risk management, cybersecurity) Role Gather relevant information to define the business problem Creative thinker capable of linking AI methodologies to identified business challenges Develop AI/ML applications leveraging the latest industry and academic advancements Ability to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda All About You : Demonstrated passion for AI competing in sponsored challenges such as Kaggle Previous experience with or exposure to: Deep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL Big Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning Classical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s is a plus. Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing Deep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono is a plus Concentration in Computer Science Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. R-252120

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. Fraud/AML Risk Analytics Professional Job Specification Candidate would be responsible for developing, validating, auditing and maintaining AI/ML/NLP models for Fraud/AML/Credit risk. Candidates would be expected to support financial institutions on meeting jurisdictional regulatory requirements and their broader risk management initiatives. Multiple positions required; Experience level 2-3 years of experience; Location: Bangalore Core Skill Requirements Candidate must have relevant experience in Machine Learning/Artificial Intelligence, Natural Language Programming, Statistical / Mathematical modeling, quantitative research, Fraud/AML risk management, or related Credit Risk field at a reputed bank, fintech, or a consulting firm. Wider skill requirements include: Experience in Machine learning algorithms like Random Forest, SVM, Neural Network etc. and Artificial Learning use cases such as Natural Language Processing, Robotics etc. AML Scenario development, enhancement. Initial threshold setting and tuning. Proficiency in one or more analytical tools such Python, PY Spark, Data Science and cloud-based analytics etc. Experience in Model Development, Model Validation, Model Audit (implementation and execution experience will not be considered directly relevant) Business knowledge in transaction monitoring system, sanction screening, trade surveillance. Supports and/or runs global/regional internal SMEs; responsible for investigating and researching the Financial Crimes processes and tools identifying efficiency and effectiveness opportunities. Strengthen AML knowledge, Process Governance & Controls. Support Regulatory exams, Internal Audit, Compliance Assurance test, Self-identified issues / findings. Identify, assess, actively manage and control the risks that could come from our business, operational and organizational decisions. Develop and leverage innovative features and algorithms to drive down false positives and identify perceived threat across the firm Utilize traditional statistical analytics, graph theory / network science, ensemble methods and the like Natural language processing, text analytics, factors analysis / construct development and testing, machine learning feature development and engineering, etc. Prior experience in domains like AML/ Financial Crime analytics and strong knowledge of fraud data analysis and development, strategy design and delivery deployment.

You will be joining a leading Manufacturing company in Bengaluru (Bellandur Area) for a Full-Time role as a Data Scientist. As a member of the team, you will be responsible for various Data Science projects including Demand Forecasting, GenAI, Cross Sell, Churn Analytics, and Visual Analytics. Your main responsibilities will revolve around Data Analysis and Modeling, where you will work on collecting, cleaning, and preprocessing large datasets from manufacturing systems and sensors. You will develop and implement advanced statistical models and machine learning algorithms to analyze the data, identify patterns, trends, and anomalies to drive process improvements and predict failures. Another key aspect of your role will involve Process Optimization, where you will analyze and optimize manufacturing processes to increase efficiency, reduce waste, and enhance product quality. You will also be required to conduct root cause analysis for production issues and collaborate with engineering and production teams to implement data-driven solutions. In addition, you will be responsible for Reporting and Visualization by creating and maintaining dashboards and reports to convey key metrics and insights to stakeholders. Your ability to visualize complex data sets in a clear and concise manner will be crucial for decision-making purposes. Furthermore, you will engage in Cross-functional Collaboration by working closely with teams across engineering, production, quality assurance, and IT. Your role will involve translating business requirements into data-driven solutions and presenting your findings to stakeholders. To excel in this role, you should hold a Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, or a related field, with a preference for a Master's or PhD. You should have at least 3 years of experience in data science, analytics, or a related field, particularly in a manufacturing environment. Strong proficiency in statistical modeling, machine learning, and data mining techniques is essential. Additionally, experience working on Cross Sales projects using Random Forest, Logistic Regression, SVM, Clustering, and other methods is preferred. Proficiency in programming languages such as Python, R, or Java will be advantageous for this position.,

DESCRIPTION In this role the Account Manager will manage a set of critical seller accounts which contribute to 20%+ business of the category. He/She/They will be responsible to develop strong relationships with top sellers in the category and drive improvements in customer facing inputs and achieve category objectives. Key job responsibilities Managing the seller relationship by championing the seller’s needs at Amazon. Build strong communication channels at all levels of the seller’s organization, set proper expectations, provide clear status communications, and manage towards a growth plan. Managing and driving the growth of the seller’s business: Build and execute on a strategic account plan that delivers on key business opportunities for the seller and Amazon. Managing key improvement initiatives and projects: Drive new product launches and relationship extensions by partnering with the business development and onboarding teams. Work with sellers to improve operational aspects of their business in providing a great consumer experience. Analyzing the business: Conduct deep dive analysis and provide routine executive-level reporting on the seller’s current business and future opportunities. Publish recommendations and action plans based on data. BASIC QUALIFICATIONS 2+ years of sales experience Experience analyzing data and best practices to assess performance drivers PREFERRED QUALIFICATIONS Experience meeting revenue targets and quotas Experience in e-commerce Experience working in a fast-paced and highly cross-functional organization Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Job details IND, HR, Gurugram Amazon.in Sales, Advertising, & Account Management

Job Description Summary The Data Scientist will develop and implement Artificial Intelligence based solutions across various disciplines in GE Aerospace. In this role, the candidate will contribute to the development and deployment of modern machine learning, artificial intelligence, statistical methods, operations research, semantic analysis etc. for finding structure in large data sets. The candidate will be responsible for executing data science projects under limited guidance from senior members to deliver business outcomes. This role requires a good technical background, strong problem-solving skills, and the ability to work collaboratively with stakeholders from different functional and business teams Job Description Site Overview Established in 2000, the John F. Welch Technology Center (JFWTC) in Bengaluru is our multidisciplinary research and engineering center. Engineers and scientists at JFWTC have contributed to hundreds of aviation patents, pioneering breakthroughs in engine technologies, advanced materials, and additive manufacturing. Role Overview Understand business problems and implement Data Science solutions. Design, develop, and implement machine learning and artificial intelligence models and algorithms. Understand various business processes pertaining to Analytics Development Process Collect, preprocess, and analyze large datasets to be used for training and testing machine learning models. Ensure data quality and integrity throughout the data pipeline. Conduct experiments to develop model and evaluate model performance and iterate on model improvements. Under the guidance of senior members, work with Data Engineering teams to deploy data science models into production environments. Monitor and maintain deployed models to ensure they perform as expected. Under the guidance of senior members, work closely with data architects, data engineers, and other stakeholders to understand business requirements and translate them into technical solutions. Optimize machine learning models for performance, scalability, and efficiency. Be aware of latest advancements in machine learning and artificial intelligence. Explore and implement new machine learning and artificial intelligence techniques and tools to enhance the team's capabilities. Maintain comprehensive documentation of machine learning models, algorithms, and processes. The Ideal Candidate The ideal candidate should have experience in Gen AI/LLM, python. Required Qualifications Masters or PhD degree in Statistics, Machine Learning, Computer Science or related STEM fields (Science, Technology, Engineering and Math) with analytics development experience Proficiency in Python (mandatory). Familiarity with Python web frameworks. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their machine learning services Demonstrated skill in the use of applied analytics, descriptive statistics, feature extraction and predictive analytics on datasets Demonstrated skill at data visualization and storytelling for an audience of stakeholders Preferred Qualifications Influences within peer group. Implements specific component(s) of the roadmap. Evaluates features using well known or prescribed recipes and appropriately down selects to valuable ones. Aware of models such as CART / SVM / RF / Neural Net and the associated sub-models Knowledge on Gen AI/LLM Uses Cross Validation and other Verification & Validation techniques to build robust models from large data sets. Understands the types of issues that impact data quality Performs basic data cleaning operations such as flagging missing and invalid data etc. Fits normal parameters to data and assess goodness of fit Can use and interpret t-tests, ANOVA and basic hypothesis testing with good utilization of p-values. Codes using modular practices for reusage and object-oriented Effectively shows visualization of data exploration using box, bubble and matrix plots. Has a basic understanding of GE Aerospace business and how the tools they are developing create value. At GE Aerospace, we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Here, you will have the opportunity to work on really cool things with really smart and collaborative people. Together, we will mobilize a new era of growth in aerospace and defense. Where others stop, we accelerate. Additional Information Relocation Assistance Provided: Yes

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose the relentless pursuit of a world that works better for people we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of Business Analyst Data Scientist In this role, the person is responsible for developing and implementing NLP models and algorithms, extracting insights from textual data, and collaborating with cross-functional teams to deliver AI solutions. Responsibilities Model Development: Familiar with different statistical, ML and ensemble algorithms Proficient with Time series algorithms and forecasting usecases Understand model specific strengths and weaknesses and know-how of suitable and unsuitable models for different problems Understand evaluation metrics and recommend the correct evaluation metric for a problem type Data Analysis: Extract meaningful insights from structured data. Preprocess data for ML / AI applications Collaboration: Work closely with data scientists, engineers, and business stakeholders. Provide technical guidance and mentorship to team members. Integration and Deployment: Integrate ML models into production systems. Implement CI/CD pipelines for continuous integration and deployment. Documentation and Training: Document processes, models, and results. Provide training and support to stakeholders on NLP techniques and tools. Qualifications we seek in you! Minimum Qualifications / Skills Bachelor's degree in computer science, Engineering, or a related field. Strong programming skills in Python and R Experience with DS frameworks (SKLEARN, NUMPY). Knowledge of machine learning concepts and frameworks (TensorFlow, PyTorch). Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Preferred Qualifications/ Skills Predictive Analytics Experience inMachine Learning techniques Experience in Python/R/ Any other open-source programming language Building and implementing models, using/creating algorithms and creating/running simulations using a variety of Tools Good to have - Experience in visualization tools such as Tableau, Power BI, Qlikview etc. Good applied statistics skills, such as distributions, statistical testing, regression, etc. Knowledge and experience of tools/techniques: Forecasting, Linear Regression, Logistic Regression, Regularization, Segmentation (Decision Trees, CHAID, CART), Cluster Analysis, Factor Analysis, variable screening, Machine Learning Random Forest, Gradient Boosting, SVM, XGBoost, Deep Learning etc. Experience with big data technologies (Hadoop, Spark). Knowledge of cloud platforms (AWS, Azure, GCP). Job Business Analyst Primary Location India-Hyderabad Education Level Bachelor's / Graduation / Equivalent Job Posting Apr 1, 2025, 8:47:23 AM Unposting Date May 1, 2025, 7:29:00 PM Master Skills List Digital Job Category Full Time,

Senior Data Science Lead Primary Skills Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio Job requirements JD is below: The Agentic AI Lead is a pivotal role responsible for driving the research, development, and deployment of semi-autonomous AI agents to solve complex enterprise challenges. This role involves hands-on experience with LangGraph, leading initiatives to build multi-agent AI systems that operate with greater autonomy, adaptability, and decision-making capabilities. The ideal candidate will have deep expertise in LLM orchestration, knowledge graphs, reinforcement learning (RLHF/RLAIF), and real-world AI applications. As a leader in this space, they will be responsible for designing, scaling, and optimizing agentic AI workflows, ensuring alignment with business objectives while pushing the boundaries of next-gen AI automation. Key Responsibilities Architecting & Scaling Agentic AI Solutions Design and develop multi-agent AI systems using LangGraph for workflow automation, complex decision-making, and autonomous problem-solving. Build memory-augmented, context-aware AI agents capable of planning, reasoning, and executing tasks across multiple domains. Define and implement scalable architectures for LLM-powered agents that seamlessly integrate with enterprise applications. Hands-On Development & Optimization Develop and optimize agent orchestration workflows using LangGraph, ensuring high performance, modularity, and scalability. Implement knowledge graphs, vector databases (Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG) techniques for enhanced agent reasoning. Apply reinforcement learning (RLHF/RLAIF) methodologies to fine-tune AI agents for improved decision-making. Driving AI Innovation & Research Lead cutting-edge AI research in Agentic AI, LangGraph, LLM Orchestration, and Self-improving AI Agents. Stay ahead of advancements in multi-agent systems, AI planning, and goal-directed behavior, applying best practices to enterprise AI solutions. Prototype and experiment with self-learning AI agents, enabling autonomous adaptation based on real-time feedback loops. AI Strategy & Business Impact Translate Agentic AI capabilities into enterprise solutions, driving automation, operational efficiency, and cost savings. Lead Agentic AI proof-of-concept (PoC) projects that demonstrate tangible business impact and scale successful prototypes into production. Mentorship & Capability Building Lead and mentor a team of AI Engineers and Data Scientists, fostering deep technical expertise in LangGraph and multi-agent architectures. Establish best practices for model evaluation, responsible AI, and real-world deployment of autonomous AI agents.

About the Role We are seeking a detail-oriented, dynamic, and enthusiastic Data Science Consultant with 3+ years of experience in machine learning, data analytics, dashboard development, and forecasting models , particularly in the Energy/Utilities domain. The ideal candidate will have a solid background in Python, SQL, Tableau, AWS, and data engineering , with proven experience in handling real-time data and building cloud-integrated solutions. Key ResponsibilitiesDashboard Development & Data Visualization Design and develop interactive and visually compelling dashboards using Tableau and AWS Quicksight . Integrate real-time datasets including SCADA , DSM , smart meter , and weather data into dashboards. Build customized user experiences with filters, parameters, toggle switches, and LOD calculations. Forecasting & Predictive Modeling Develop short-term demand and market price forecasting tools using historical datasets. Perform feature engineering , back-testing, and accuracy evaluation (MAPE, RMSE, etc.) on ML models. Deploy pipelines on AWS EC2 , integrate with RDS/MS SQL and monitor model performance over time. ETL & Data Engineering Build robust Python-based ETL pipelines for collecting data from APIs and web portals. Automate data processing and refresh mechanisms using tools like Windows Task Scheduler or AWS Lambda . GIS and Climate Risk Mapping (Preferred) Work with CMIP6 or similar datasets for long-term climate risk assessment and exposure mapping. Use Python and geospatial libraries to analyze climate impacts on assets. Technical Skill Set Required Languages & Tools : Python (Pandas, NumPy, Scikit-learn), SQL, AWS (EC2, RDS, Quicksight), Tableau ML/AI : Experience with forecasting models (SVM, XGBoost, ANN), U-Net, YOLO, Isolation Forest, etc. Databases : MS-SQL Server, MySQL Data Engineering : ETL pipelines, task schedulers, real-time data integration Visualization : Tableau, AWS QuickSight Bonus : Knowledge of renewable energy (solar, wind) data modeling or climate analytics Preferred Profile 3–5 years of total experience in data science, analytics, or machine learning , preferably in a consulting setup. Strong background working with power, utility, or energy sector clients. Ability to communicate insights clearly and collaborate with cross-functional technical and non-technical teams. Exposure to client-facing roles or stakeholder engagement is a plus. Job Type: Full-time Pay: ₹95,000.00 - ₹98,000.00 per month Work Location: In person

About the Team The Data Science team at Navi plays a central role in building intelligent solutions that power our products and drive business impact. We work across key domains such as Lending, Collections, KYC, UPI Growth and Ads recommendation, applying advanced machine learning/deep learning/GenAI techniques to solve high-impact challenges. Our work involves a diverse range of data types—including text, image, and tabular data—and we closely collaborate with cross-functional teams like Product, Business, Engineering, etc. to deliver end-to-end solutions. About the Role As a Data Scientist 2 at Navi, you’ll be an integral part of a team that’s building scalable and efficient solutions across lending, insurance, investments, and UPI. You won’t just be solving predefined problems - you’ll help define them, working hands-on across a variety of domains. In this role, you would be expected to lead projects and create real business impact for Navi. You’ll have the opportunity to apply cutting-edge techniques to real-world challenges, while collaborating closely with cross-functional teams to deliver measurable business impact. This isn’t just a role - it’s a chance to contribute to the future of fintech through innovative, high-ownership work that makes a visible difference. What We Expect From You Design, develop, and deploy end-to-end data science solutions that address complex business problems across lending, insurance, investments, and payments. Collaborate with cross-functional teams including product, engineering , and business to identify opportunities for data-driven impact. Work with diverse data modalities such as tabular data, text, audio, image, and video to build predictive models and intelligent systems. Continuously explore and implement state-of-the-art techniques in machine learning, deep learning, NLP, computer vision, and Generative AI. Drive experimentation and rapid prototyping to validate hypotheses and scale successful models to production. Monitor, evaluate, and refine model performance over time, ensuring reliability and alignment with business goals. Contribute to building a strong data science culture by sharing best practices, mentoring peers, and actively participating in knowledge-sharing sessions. Must Haves Bachelor's or Master's in Engineering or equivalent. 2+ years of Data Science/Machine Learning experience. Strong knowledge in statistics, tree-based techniques (e.g., Random Forests, XGBoost), machine learning (e.g., MLP, SVM), inference, hypothesis testing, simulations, and optimizations. Bonus: Experience with deep learning techniques. Strong Python programming skills and experience in building Data Pipelines in PySpark , along with feature engineering. Proficiency in pandas, scikit-learn, Scala, SQL, and familiarity with TensorFlow/PyTorch . Understanding of DevOps/MLOps, including creating Docker containers and deploying to production (using platforms like Databricks or Kubernetes). Inside Navi We are shaping the future of financial services for a billion Indians through products that are simple, accessible, and affordable. From Personal & Home Loans to UPI, Insurance, Mutual Funds, and Gold — we’re building tech-first solutions that work at scale, with a strong customer-first approach. Founded by Sachin Bansal & Ankit Agarwal in 2018, we are one of India’s fastest-growing financial services organisations. But we’re just getting started! Our Culture The Navi DNA Ambition. Perseverance. Self-awareness. Ownership. Integrity. We’re looking for people who dream big when it comes to innovation. At Navi, you’ll be empowered with the right mechanisms to work in a dynamic team that builds and improves innovative solutions. If you’re driven to deliver real value to customers, no matter the challenge, this is the place for you. We chase excellence by uplifting each other—and that starts with every one of us. Why You'll Thrive at Navi At Navi, it’s about how you think, build, and grow. You’ll thrive here if: You’re impact-driven : You take ownership, build boldly, and care about making a real difference. You strive for excellence : Good isn’t good enough. You bring focus, precision, and a passion for quality. You embrace change : You adapt quickly, move fast, and always put the customer first.

About the Role A Data Scientist in Flipkart is required to develop and implement ML or statistical models for the various projects formulated from business and product views. The responsible person should be able to communicate and collaborate with multiple stakeholders representing various teams to better understand the problem at hand. At a fundamental level, the responsible person should be able to dive deep into a problem statement and extract interesting insights as well as solutions. In addition to being a quick learner, a DS is expected to get involved in active research projects with a view to publish them. About the team The Data Sciences team at Flipkart is on a mission to build systemic intelligence across Flipkart products and the overarching ecosystem. Being India’s largest online marketplace and the most used e-commerce app in India, places Flipkart in a unique position and gives this team a distinctive opportunity — to decipher the richest possible data about Indian consumers. Add the dimension of a vast product selection and a proliferating seller base to that and what you get is a multitude of disruptive possibilities. In a nutshell, the terabytes of daily data compounded in Flipkart’s data centres offer a dynamic mix of numerical, structured, unstructured, image- and audio-based statistics, all set to define shopping in the future. At Flipkart, the work of a Data Scientist involves collaboration with the engineering and product teams to ensure a holistic outcome at the product delivery. The flat functional structure within Flipkart engineering enables data scientists to focus on excellence and create a deep sense of ownership at every stage of work. If you aspire to redefine ‘state-of-the-art’ and create an impact on India’s online shopping landscape, Flipkart’s Data Science team can offer you the right podium to solve challenging real-world problems and take a giant leap in your career as a Data Scientist. You are Responsible for Understand Business and product needs and use ML or statistical techniques to provide solutions to those in a time bound fashion. Communicate and collaborate with business and product teams to have a better understanding of the project so as to be able to drive it within the DS team. Get involved in in-depth exploration of solutions using various methods and extract statistical insights from data as well as models, which are to be shared with business and product teams. Active participation in working with new methods and learning new technologies, both in the area of data science and data engineering. To succeed in this role – you should have the following B.Tech or M.Tech or PhD. in CS or Statistics with experience ranging from 5 to 12 years through publications/deployed solutions/projects. Deep understanding of the algorithms (theory and application) that they have worked on. Good grasp on the theory and practice of basic statistical models such as regression or clustering and general ML algorithms such as tree, Random Forests, SVM, Boosting, Neural Networks etc. It is not expected that the candidate has actually worked on all these modules. Strong proficiency in Python or R is necessary.

Relocation Assistance Offered Within Country Job Number #167665 - Mumbai, Maharashtra, India Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. Title: Senior Specialist, Global Data Science Brief Introduction - Role Summary/Purpose The GLOBAL DATA SCIENCE & ADVANCED ANALYTICS vertical in Colgate Palmolive is focused on working on business cases which have a big $ impact for the business addressing the business questions, with recommended actions and scope for scalability across markets. The Data Scientist position would lead GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects within the Analytics Continuum. The position conceptualizes and builds machine learning, predictive modeling, simulations, and optimization solutions for clear dollar objectives and measured value for Colgate Palmolive The role would require, to work on a range of GLOBAL DATA SCIENCE & ADVANCED ANALYTICS projects across Revenue Growth Management, Price Elasticity, Promotion Analytics, Marketing Mix Modeling Data Scientist needs to manage relationships independently with Business and stakeholders to drive projects Responsibilities Conceptualizes and builds predictive modeling, simulations, and optimization solutions to address business questions or use cases Applies ML and AI to analytics algorithms to build inferential and predictive models allowing for scalable solutions to be deployed across the business Develops end to end business solutions from data extraction, data preparation, data mining to statistical modeling and then building business presentations Conducts model validations and continuous improvement of the algorithms, capabilities, or solutions built Deploys models using Airflow, Docker on Google Cloud Platforms Own Pricing and Promotion, Marketing Mix from scoping to delivery Study large amounts of data to discover trends and patterns Mine data through various technologies like BigQuery and SQL Present insights in an easy to interpret way to the business teams Develop visualization (e.g. Looker, PyDash, Flask, PlotLy, streamlit) using large datasets and model output datasets Ready to work closely with business partners across geographies Required Qualifications BE/BTECH [ Computer Science, Information Technology is preferred ], MBA or PGDM in Business Analytics / Data Science, Additional DS Certifications or Courses, MSC / MSTAT in Economics or Statistics 5+ years of experience in building statistical models and driving insights Hands-on/experience on developing statistical models, such as linear regression, ridge regression, lasso, random forest, SVM, gradient boosting, logistic regression, K-Means Clustering, Hierarchical Clustering, Bayesian Regression etc. Hands on experience on coding languages Python(mandatory) and SQL Knowledge of using GitHub, Airflow for coding and model deployments Understand visualization frameworks PyDash, Flask, PlotLy Strong Understanding of Cloud Frameworks Google Cloud, Snowflake and services like Kubernetes, Cloud Build Cloud Run. Experience front facing Business teams (Client facing role) supporting and working with multi-functional teams in a dynamic environment Preferred Qualifications Managing, transforming, and developing statistical models for RGM/Pricing and/or Marketing Mix Models Experience with third-party data i.e., syndicated market data, Point of Sales, etc. Working knowledge of consumer packaged goods industry Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Knowledge of Google Cloud products (BigQuery, data studio, kubernetes, cloud build, cloud run etc) Knowledge of deployment of models in Cloud Environment using Airflow, Docker Our Commitment to Inclusion Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.

Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network. Come join us to create what’s next. Let’s define tomorrow, together. Description United's Digital Technology team designs, develops, and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions. Find your future at United! We’re reinventing what our industry looks like, and what an airline can be – from the planes we fly to the people who fly them. When you join us, you’re joining a global team of 100,000+ connected by a shared passion with a wide spectrum of experience and skills to lead the way forward. Achieving our ambitions starts with supporting yours. Evolve your career and find your next opportunity. Get the care you need with industry-leading health plans and best-in-class programs to support your emotional, physical, and financial wellness. Expand your horizons with travel across the world’s biggest route network. Connect outside your team through employee-led Business Resource Groups. Create what’s next with us. Let’s define tomorrow together. Job Overview And Responsibilities The team is currently looking for an entry level data scientist who has a passion for data and analytics with the willingness to dig deep into details as well as the ability to assess the big picture. In-depth understanding of modeling techniques and the ability to perform in a team as well as an individual is paramount to success in this role. The person must have experience to able to extract insights from large volumes of data and clearly communicate relevant triggers and recommendations. High-level responsibilities of the role include: Execute solutions to business problems using data analysis, data mining, optimization tools, statistical modeling and machine learning techniques Continuously develop and demonstrate improved analysis methodologies You will have strong modelling skills and are comfortable owning data and working from concept through to execution Understand a business problem and the available data and identify what analytics and modeling techniques can be applied to answer a business question This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded. This position is for United Airlines Business Services Pvt. Ltd - a wholly owned subsidiary of United Airlines Inc. Qualifications Required Bachelor's degree required Master's Degree in a quantitative field like Math, Statistics, Operations Research and/or MBA preferred At least 2+ years of experience in modeling/ machine learning required Proven comfort and an intellectual curiosity for working with very large sets of data, and hands-on knowledge in predictive modeling Strong knowledge of either R or Python Be experienced in manipulating and analyzing complex, high-volume, high dimensionality data from various sources to highlight patterns and relationships Understanding of how and when to apply predictive and machine learning techniques like logistic regression, random forest, GBM, Neural Nets, SVM etc. is required Be proficient in using database querying tools and able to write complex queries and procedures using Teradata SQL and/or Microsoft TSQL Hands on experience in using Big Data ecosystems (Hadoop/Spark), API Gateways and non-structured data will be a plus Being able to communicate complex quantitative analysis and algorithms in a clear, precise and actionable manner Exhibit written and spoken English fluency About 4-6 weeks of travel to US in a year required Must be legally authorized to work in India for any employer without sponsorship Must be fluent in English (written and spoken) Successful completion of interview required to meet job qualification Reliable, punctual attendance is an essential function of the position GGN00001899

Company Overview: Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner. Job Location: Bangalore Job Description : The team member will be a part of the Artificial Intelligence and Machine Learning, Algorithmic Decision-Making Team (AIML - ADM) and will be working in a fast-paced environment. They will be enabling clients to discover how they can leverage their data using advanced and sophisticated AI/ML algorithms. Data Scientists in the AIML-ADM team should have the capability to work on independent statistical and machine learning research/ projects. Responsibilities: Ability to understand a problem statement and implement analytical solutions & techniques independently with independently/proactively/thought-leadership. Team management and strong stakeholder management skills Leadership skills to manage a span of Data Scientists Work with stakeholders throughout the organization to identify opportunities for leveraging company/client data to drive business solutions. Fast learner: ability to learn and pick up a new language/tool/ platform quickly. Conceptualize, design, and deliver high-quality solutions and insightful analysis. Conduct research and prototyping innovations; data and requirements gathering; solution scoping and architecture; consulting clients and clients facing teams on advanced statistical and machine learning problems. Collaborate and Coordinate with different functional teams (engineering and product development) to implement models and monitor outcomes. Ability to deliver AIML based solutions around a host of domains and problems, with some of them being Customer Segmentation & Targeting, Propensity Modelling, Churn Modelling, Lifetime Value Estimation, Forecasting, Recommender Systems, Modelling Response to Incentives, Marketing Mix Optimization, Price Optimization Qualifications: Required Qualifications: 5.6-11 years in core Data Science & Machine Learning projects Expert level proficiency in at least one of R and Python. Ability to create efficient solutions to complex problems. Strong skills in data-structures and ML algorithms. Experience of working on end-to-end data science pipeline: problem scoping, data gathering, EDA, modelling, insights, visualizations, monitoring and maintenance. Problem-solving: Ability to break the problem into small parts and applying relevant techniques to drive required outcomes. Intermediate to advanced knowledge of machine learning, probability theory, statistics, and algorithms. You will be required to discuss and use various algorithms and approaches daily. We use regression, Bayesian methods, tree-based learners, SVM, RF, XGBOOST, time series modelling, dimensionality reduction, SEM, GLM, GLMM, clustering, Deep learning etc. on a regular basis. If you know few of them, you are good to go. Preferred Qualifications: Experience in one of the upcoming technologies like deep learning, NLP, image processing, recommender systems Experience of working in on one or more domains: CPG: pricing and promotion analytics, marketing analytics, trade promotions, supply chain management BFSI: cross-sell, up-sell, campaign analytics, treasury analytics, fraud detection Healthcare: medical adherence, medical risk profiling, EHR data, fraud-waste-abuse Experience in working with Linux computing environment and use of command line tools like sed/awk Good grasp on databases including RDBMS, NoSQL, MongoDB etc. Education : B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent

Matellio is hiring a skilled and visionary AI Lead to drive development of advanced AI solutions. This is a dual role involving both technical leadership and hands-on development —perfect for someone who thrives on solving complex problems with machine learning, NLP, and LLM technologies. Key Responsibilities: Lead and mentor a team of 4–5 AI/ML engineers, guiding them through the full project lifecycle from research to production deployment. Design and own both high-level and low-level architecture for AI and GenAI-based applications, ensuring scalability, performance, and maintainability. Collaborate with sales and business development teams to create technical proposals , including solution design , architecture diagrams , and high-level estimates for Sales Qualified Leads (SQLs). Work as an individual contributor when needed, developing key components of the solution to accelerate delivery and set best practices. Research, design, and implement machine learning and deep learning models, including fine-tuning and deploying LLMs (e.g., GPT, BERT) for production use cases. Build NLP pipelines and retrieval-augmented generation (RAG) systems using tools like LangChain, LangGraph, and vector databases (e.g., FAISS, Pinecone, Weaviate). Apply statistical techniques to feature engineering, model evaluation, and performance optimization. Ensure adherence to code quality, testing, CI/CD, and documentation standards. Stay current with AI/ML advancements and proactively propose innovative solutions. Conduct code reviews, encourage peer learning, and contribute to a strong engineering culture. Required skills and qualifications: Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, Mathematics, or a related field. 7+ years of hands-on experience in AI/ML model development and deployment. Proven experience in leading technical teams and delivering production-grade AI/ML solutions. Strong architectural skills with experience designing end-to-end solutions involving cloud, APIs, and ML models. Demonstrated experience supporting technical pre-sales efforts through proposals, estimates, and client presentations. Proficient in Python and ML libraries such as TensorFlow, PyTorch, scikit-learn. Hands-on experience with NLP tools like HuggingFace Transformers, SpaCy, and NLTK. Practical knowledge of fine-tuning and deploying LLMs , and building GenAI solutions. Familiarity with LangChain, LangGraph, and vector stores (e.g., FAISS, Pinecone). Strong understanding of classical ML algorithms (SVM, Decision Trees, etc.) and when to use them. Experience deploying models and services using REST APIs, Docker, and CI/CD pipelines. Exposure to cloud platforms such as AWS, GCP, or Azure. Excellent analytical thinking, problem-solving, and communication skills.

Job Description Job Summary - The candidate will have a strong background in machine learning algorithms, deep learning frameworks, and practical experience building and deploying AI solutions. You will work closely with cross-functional teams to design, develop, and implement innovative AI-driven products and solutions. In this Role, Your Responsibilities Will Be: Design, develop, and deploy machine learning and deep learning models for various business applications. Lead and contribute to projects involving Generative AI, including large language models, image generation, and related technologies. Collaborate with data scientists, software engineers, and product managers to deliver end-to-end AI solutions. Analyze and preprocess large datasets to extract meaningful insights and features. Develop and implement predictive models and algorithms to solve business problems and improve processes. Evaluate and optimize model performance using appropriate metrics and techniques. Stay up to date with the latest advancements in AI/ML and Generative AI research and technologies. Document processes, models, and experiments for knowledge sharing and reproducibility. Drive continuous improvement through innovation, process optimization, and knowledge sharing. Participate in Agile ceremonies and contribute to sprint planning and retrospectives. Take ownership of deliverables and work independently when required. Who You Are: You are a self-directed and proactive professional who takes the initiative without waiting for detailed instructions, quickly adapts to new technologies and changing requirements, and strategically applies your knowledge to solve complex business problems. You continuously stay current with emerging AI trends, and drive innovation while maintaining a focus on code quality and best practices. For This Role, You Will Need: Bachelor’s degree in computer science, Data Science, Statistics, or a related field or a Master's degree or higher is preferred. 3-4 years of experience in AI/ML project development with minimum 2 years hands-on experience with Generative AI (e.g., GPT, Embeddings, Vector databases, Diffusion models) Proficiency in programming languages such as Python, and experience with data manipulation libraries (e.g., pandas, NumPy, scikit-learn). Solid grasp of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Hands-on experience with LangChain, LlamaIndex, Hugging Face ecosystem, and prompt engineering techniques. Experience building Retrieval-Augmented Generation systems and semantic search applications. Experience developing and deploying ML models via REST APIs using FastAPI, Flask, or similar frameworks. Proficiency in TensorFlow, PyTorch, and familiarity with model fine-tuning and RLHF (Reinforcement Learning from Human Feedback). Experience with SQL and NoSQL databases (MongoDB, PostgreSQL) and Vector databases. Familiarity with CI/CD pipelines, Git, and Azure DevOps or similar tools. Preferred Qualifications that Set You Apart: Possession of relevant certification/s in data science from reputed universities specializing in AI. Strong analytical and problem-solving skills, with the ability to work with complex data sets and extract actionable insights. Effective verbal and written communication skills as well as good presentation skills. Our Culture & Commitment to You At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives—because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results. We recognize the importance of employee wellbeing. We prioritize providing competitive benefits plans, a variety of medical insurance plans, Employee Assistance Program, employee resource groups, recognition, and much more. Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave. About Us WHY EMERSON Our Commitment to Our People At Emerson, we are motivated by a spirit of collaboration that helps our diverse, multicultural teams across the world drive innovation that makes the world healthier, safer, smarter, and more sustainable. And we want you to join us in our bold aspiration. We have built an engaged community of inquisitive, dedicated people who thrive knowing they are welcomed, trusted, celebrated, and empowered to solve the world’s most complex problems — for our customers, our communities, and the planet. You’ll contribute to this vital work while further developing your skills through our award-winning employee development programs. We are a proud corporate citizen in every city where we operate and are committed to our people, our communities, and the world at large. We take this responsibility seriously and strive to make a positive impact through every endeavor. At Emerson, you’ll see firsthand that our people are at the center of everything we do. So, let’s go. Let’s think differently. Learn, collaborate, and grow. Seek opportunity. Push boundaries. Be empowered to make things better. Speed up to break through. Let’s go, together. Accessibility Assistance or Accommodation If you have a disability and are having difficulty accessing or using this website to apply for a position, please contact: idisability.administrator@emerson.com . About Emerson Emerson is a global leader in automation technology and software. Through our deep domain expertise and legacy of flawless execution, Emerson helps customers in critical industries like life sciences, energy, power and renewables, chemical and advanced factory automation operate more sustainably while improving productivity, energy security and reliability. With global operations and a comprehensive portfolio of software and technology, we are helping companies implement digital transformation to measurably improve their operations, conserve valuable resources and enhance their safety. We offer equitable opportunities, celebrate diversity, and embrace challenges with confidence that, together, we can make an impact across a broad spectrum of countries and industries. Whether you’re an established professional looking for a career change, an undergraduate student exploring possibilities, or a recent graduate with an advanced degree, you’ll find your chance to make a difference with Emerson. Join our team – let’s go! No calls or agencies please.

Data science internship at Sekuen LLC About Sekuen https://www.sekuen.com/blog Sekuen is an AI agency located in Dubai, offering AI solutions in several industries like regulation tech, biotech, adtech etc Some of our recent products include: Building AI agents that monitor changes in regulations for green ESG building regulations in Germany. Building a 700 classes (IAB taxonomy) video classifier with 98% accuracy. Building AI agents for live monitoring in FDA regulations in order to help meds formulation passing the new regulations exams Location Dubai, UAE Remote available Duration 3-4 months At the end of which the company proceeds to a student evaluation protocol. This position could open the door to full time later depending on the availability and at the discretion of the company executives. Starting Within 4 weeks Immediate preferable Compensation Select Internship Allowances available Language English Arabic (optional) Working hours Full time, 40 hours per week Monday-Friday 11 am to 8 pm GST (Dubai time) What will you learn? Working with Sekuen LLC, you will get exposed to most of the following hot topics in data science Matrix multiplication, matrix inversion, Eigendecomposition, SVD SVM, Logistic regression, KNN, K-means Decision trees, Random Forests, XGBOOST Autoencoders, Transformers, attention FFT, Laplace transform GAN, generative and agentic AI NN, RNN, CNN, Reinforcement learning NLP, text cleanups, LLM generators, recommenders, publications classification Social media video marketing Prerequisites Should be able to present some previous/current ML/AI projects Full time availability for the full duration Proven excellence and distinction in maths and data science applications Python, Colab are prerequisites NLP, CNN, Bitbucket/Git and version control are a plus Scientific background is desirable (Phys, Chem, Bio, Med, Pharma) Nail your interview Basic intro to NLP https://www.youtube.com/playlist?list=PLQY2H8rRoyvzDbLUZkbudP-MFQZwNmU4S Basics of machine learning algorithms https://www.youtube.com/@SerranoAcademy Basics of mathematics https://www.youtube.com/@3blue1brown Advanced machine learning for control https://www.youtube.com/@Eigensteve/ Desired but not mandatory Certified Agentic AI Professional (GSDC) AAIA (Advanced in AI Audit, ISACA) Certified AI Transformation Leader (CAITL) Artificial Intelligence Governance Professional (AIGP, IAPP) Salesforce AI Associate Cloud certifications (AWS/GCP/Azure) Professional Data Science/AI certificates Know your interviewer https://www.linkedin.com/in/samirzein/ How to apply? Write a 3-4 paragraphs email to career@sekuen.com Explain why you are the best fit for the above and attach a 1 page CV , listing mostly projects related to ML/DL you performed in the past, and your curriculum in math Subject/title of your message “Sekuen data science internship 2025”

Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network. Come join us to create what’s next. Let’s define tomorrow, together. Description United's Digital Technology team designs, develops, and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions. Find your future at United! We’re reinventing what our industry looks like, and what an airline can be – from the planes we fly to the people who fly them. When you join us, you’re joining a global team of 100,000+ connected by a shared passion with a wide spectrum of experience and skills to lead the way forward. Achieving our ambitions starts with supporting yours. Evolve your career and find your next opportunity. Get the care you need with industry-leading health plans and best-in-class programs to support your emotional, physical, and financial wellness. Expand your horizons with travel across the world’s biggest route network. Connect outside your team through employee-led Business Resource Groups. Create what’s next with us. Let’s define tomorrow together. Job Overview And Responsibilities The team is currently looking for an entry level data scientist who has a passion for data and analytics with the willingness to dig deep into details as well as the ability to assess the big picture. In-depth understanding of modeling techniques and the ability to perform in a team as well as an individual is paramount to success in this role. The person must have experience to able to extract insights from large volumes of data and clearly communicate relevant triggers and recommendations. High-level responsibilities of the role include: Execute solutions to business problems using data analysis, data mining, optimization tools, statistical modeling and machine learning techniques Continuously develop and demonstrate improved analysis methodologies You will have strong modelling skills and are comfortable owning data and working from concept through to execution Understand a business problem and the available data and identify what analytics and modeling techniques can be applied to answer a business question This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded. This position is for United Airlines Business Services Pvt. Ltd - a wholly owned subsidiary of United Airlines Inc. Qualifications Required Bachelor's degree required Master's Degree in a quantitative field like Math, Statistics, Operations Research and/or MBA preferred At least 2+ years of experience in modeling/ machine learning required Proven comfort and an intellectual curiosity for working with very large sets of data, and hands-on knowledge in predictive modeling Strong knowledge of either R or Python Be experienced in manipulating and analyzing complex, high-volume, high dimensionality data from various sources to highlight patterns and relationships Understanding of how and when to apply predictive and machine learning techniques like logistic regression, random forest, GBM, Neural Nets, SVM etc. is required Be proficient in using database querying tools and able to write complex queries and procedures using Teradata SQL and/or Microsoft TSQL Hands on experience in using Big Data ecosystems (Hadoop/Spark), API Gateways and non-structured data will be a plus Being able to communicate complex quantitative analysis and algorithms in a clear, precise and actionable manner Exhibit written and spoken English fluency About 4-6 weeks of travel to US in a year required Must be legally authorized to work in India for any employer without sponsorship Must be fluent in English (written and spoken) Successful completion of interview required to meet job qualification Reliable, punctual attendance is an essential function of the position GGN00001901

Director - Data Science Job description Company Overview Accordion is a global private equity-focused financial consulting firm specializing in driving value creation through services rooted in Data & Analytics and powered by technology. Accordion works at the intersection of Private Equity sponsors and portfolio companies' management teams across every stage of the investment lifecycle. We provide hands-on, execution-oriented support, driving value through the office of the CFO by building data and analytics capabilities and identifying and implementing strategic work, rooted in data and analytics. Accordion is headquartered in New York City with 10 offices worldwide. Join us and make your mark on our company. Data & Analytics Accordion's Data & Analytics (D&A) practice in India delivers cutting-edge, intelligent solutions to a global clientele, leveraging a blend of domain knowledge, sophisticated technology tools, and deep analytics capabilities to tackle complex business challenges. We partner with Private Equity clients and their Portfolio Companies across diverse sectors, including Retail, CPG, Healthcare, Media & Entertainment, Technology, and Logistics. D&A team members deliver data and analytical solutions designed to streamline reporting capabilities and enhance business insights across vast and complex data sets ranging from Sales, Operations, Marketing, Pricing, Customer Strategies, and more. Working at Accordion in India means joining 800+ analytics, data science, finance, and technology experts in a highgrowth, agile, and entrepreneurial environment to transform how portfolio companies drive value. It also means making your mark on Accordion’s future—by embracing a culture rooted in collaboration and a firm-wide commitment to building something great, together. Join us and experience a better way to work! Location: Hyderabad, Telangana Role Overview: As Director - Data Science you will be leading one or more client projects to deliver various Advance Analytic solutions. (S)he would be working directly with the clients and guide the team in building a robust solution solving client’s business problem as per agreed timelines through application of business knowledge, project management and technical expertise. What You will do: We expect you to manage a team and work on complex, cross-functional analytical and research-oriented projects using advanced computational, machine learning and deep learning algorithms. You will be responsible for developing proprietary algorithms for solving complex business problems while handling large amount of structured and unstructured data. You will be expected to use relevant knowledge of computer science fundamentals, distributed computing, and machine learning to help build scalable analytical solutions. You will ensure that the data science team works closely with our technical team and core business teams for design and development of the analytical solutions. You would need to combine business knowledge with statistical and computational techniques to provide actionable business solutions for our clients. Ideally, you have: 8-12 years of experience in applying concepts in Data Science, Machine Learning, Algorithm development, Advanced Computing or Statistical Modeling to solve real-world problems. Practical experience in at least one of the following programming languages: R or Python. Strong modelling skills and ability to build practical models using advanced algorithms such as Random Forests, SVM, Neural Networks. Familiarity with algorithms in recommendation systems, NLP or big data frameworks such as Hadoop/Spark is a bonus. Strong independent and creative research skills necessary to keep up with the latest trends in advanced analytics. Undergraduate degree from premier institutions such as IIT, BITS, NIT etc. Interested in working in a high-growth environment where your analysis drives important decisions. Strong communication skills enabling you to clearly communicate your thoughts/work to the client or internal teams. Why Explore a Career at Accordion: High growth environment: Semi-annual performance management and promotion cycles coupled with a strong meritocratic culture, enables fast track to leadership responsibility. Cross Domain Exposure: Interesting and challenging work streams across industries and domains that always keep you excited, motivated, and on your toes. Entrepreneurial Environment : Intellectual freedom to make decisions and own them. We expect you to spread your wings and assume larger responsibilities. Fun culture and peer group: Non-bureaucratic and fun working environment; Strong peer environment that will challenge you and accelerate your learning curve. Other benefits for full time employees: Health and wellness programs that include employee health insurance covering immediate family members and parents, term life insurance for employees, free health camps for employees, discounted health services (including vision, dental) for employee and family members, free doctor’s consultations, counsellors, etc. Corporate Meal card options for ease of use and tax benefits. Team lunches, company sponsored team outings and celebrations. Robust leave policy to support work-life balance. Specially designed leave structure to support woman employees for maternity and related requests. Reward and recognition platform to celebrate professional and personal milestones. A positive & transparent work environment including various employee engagement and employee benefit initiatives to support personal and professional learning and development.

JOB_POSTING-3-72278 Job Description Role Title: AVP, Analytics Bank (L10) Company Overview Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more. We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies. Synchrony celebrates ~52% women talent. We offer Flexibility and Choice for all employees and provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being. We provide career advancement and upskilling opportunities, focusing on Advancing Diverse Talent to take up leadership roles. Organizational Overview Our Analytics organization comprises of data analysts who focus on enabling strategies to enhance customer and partner experience and optimize business performance through data management and development of full stack descriptive to prescriptive analytics solutions using cutting edge technologies thereby enabling business growth Role Summary/Purpose AVP, Analytics Bank (People Manager & Individual Contributor) is a part of India Analytics Hub (IAH). The role will be responsible for managing deposits business, provide thought leadership and drive solutions with business impact. The role will deliver high-visibility and high-impact projects, working in close collaboration with IAH and US Analytics teams to help solve key business problems with solutions that are powered by data and analytics. Key Responsibilities Proactively propose, initiate & execute strategic projects that create business impact and to facilitate decision making Lead & manage the development of team members. Mentor them on Analytical and Technical skills. Be hands on and willing to roll up sleeve to help deliver projects Develop marketing strategies aligned with bank goals to drive new applications and accounts and increase balances and retention Develop proformas to support different tests & use cases. Drive team to leverage & explore latest tools and techniques in the industry and leverage them for business growth. Initiate ideas to drive usage of open source tools Proactively discuss the projects, showcase & drive for implementation and gauge the business impact. Work with cross-functional teams to facilitate the data collection and performance measurement process and escalate issues as necessary and make contributions to research and analyses on priority projects within established guidelines. Deliver projects adhering timelines, accuracy & compliance with meticulous project management. Proactively leverage expertise of team members to deploy the resources as per skillset Proactive & regular communication with Stakeholders on Projects & People Create a team culture and interactive environment that can also incorporate fun Willing to upskill on digital tools such as Google 360 suite is required Acquire proficiency on varied data and analytic tools, software, techniques to improve current capabilities, create new analytics/data science solutions and proactively exhibit thought leadership Contribute to internal initiatives, perform other duties and/or special projects, as assigned Required Skills & Knowledge Degree in Statistics, Mathematics, Economics, Engineering, or any other quantitative streams with 4+ years of hands-on relevant analytics/data science experience. Minimum 6+ years of relevant work experience in lieu of specified degree. Minimum 4 years of hands-on SQL and SAS programming experience with an ability to leverage advanced algorithms and be efficient in handling complex/large data sets Minimum 3 years of experience in leveraging data/analytics to drive strategy with positive outcomes Drive business growth by conceptualizing and executing strategic projects, facilitate key meetings, and mentoring the team to unlock their full potential Good working knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Advanced proficiency in MS-Excel and MS-PowerPoint with superior data analyses and story boarding skills Desired Skills & Knowledge 4+ years of analytics/data science experience in Financial Services Industry Experience in working SAS and exposure to Python Ability to drive initiatives Good understanding of US consumer banking business Knowledge of latest Analytics Data Visualization tools like Tableau Knowledge of multivariable calculus and linear algebra with predictive performance or algorithm optimization techniques, ML methods like k-Nearest Neighbors, Naive Bayes, SVM, Random Forest, etc. Eligibility Criteria Degree in Statistics, Mathematics, Economics, Engineering, or any other quantitative streams with 4+ years of hands-on relevant analytics/data science experience. Minimum 6+ years of relevant work experience in lieu of specified degree. Work Timings: 2 pm to 11 pm IST The position is remote, where you have the option to work from home. For Internal Applicants Understand the criteria or mandatory skills required for the role, before applying Inform your manager and HRM before applying for any role on Workday Ensure that your professional profile is updated (fields such as education, prior experience, other skills) and it is mandatory to upload your updated resume (Word or PDF format) Must not be any corrective action plan (First Formal/Final Formal, LPP) L8+ Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible. L08+ Employees can apply Grade/Level: 10 Job Family Group Data Analytics

Job Title Data Scientist I/II Job Description At Philips, data is in the center of everything we do. We believe that, every data item has a story of its own. If you have a penchant for unravelling the hidden patterns, then you are the person we are looking for! To build our next generation smarts, you will be working with experts in a variety of fields, including clinical & regulatory specialists, UX designers, dental and skin care professionals, system architects, product management to integrate new technologies and refine system performance. You will help build learning systems, leveraging data sets consisting of user interactions and actions, collected from hundreds of thousands of consumer devices, per day to model, analyse, and predict user behaviours. While some of our algorithms run on resource constrained devices, others require large clusters on our cloud infrastructure. As data scientist you will investigate, discern, and interpret data sets to recognize user behaviour and predict trends. Job Responsibilities Use predictive modeling to increase and optimize customer experiences, revenue generation, campaign optimization and other business outcomes Work with product management to develop data use cases and embed predictive models in workflows on resource constrained platforms and cloud enabled. Selecting features, building and optimizing classifiers using machine learning and deep learning techniques Collaborates with Data Engineers to enhance data collection and ingestion/curation techniques to include information that is relevant for building analytic systems Processing, cleansing, and verifying the integrity of data used for analysis Develop processes and tools to monitor and analyze model performance and data accuracy. Life cycle management of predictive models. Adherence to compliance procedures in accordance with regulatory standards, requirements, and policies. Managing and designing the reporting environment, including data sources security, and metadata. Job Qualifications: Master’s degree or PhD in Computer Science, Information management, Statistics or related field, with 5 to 7 years of experience in the Consumer or Healthcare industry manipulating data sets and building predictive models with focus on product development Experience in statistical modelling, machine learning, data mining, unstructured data analytics and natural language processing. Sound understanding of - Bayesian Modelling, Classification Models, Cluster Analysis, Neural Network, Nonparametric Methods, Multivariate Statistics, etc. Strong hands on knowledge of ML techniques like regression algorithms, K-NN, Naïve Bayes, SVM and ensemble techniques like Random forest, AdaBoost etc Having strong knowledge in unsupervised learning algorithms using Neural networks and Deep-Learning Strong knowledge in Data Wrangling and Exploration techniques to identify the patterns, trends and outliners. Deep knowledge and practical experience with data science toolkits, such as NumPy, Pandas, scikit-learn or equivalent Experience with data visualization tools, such as QlikView, Matplotlib, seaborn or equivalent tools. Proficiency in using query languages, such as SQL, PL/SQL Hands on experience in the one or more databases like Hadoop, AWS Redshift, Snowflake etc. Good applied statistics skills, such as distributions, statistical testing, regression, etc. Good ETL scripting and programming skills, such as Python, R or Scala to integrate developed solution into the proposition. A team player capable of working and integrating across cross-functional team for implementing project requirements. Experience in technical requirements gathering and documentation. Ability to work effectively and independently in a fast-paced global collaborative agile team environment with tight deadlines A flexible, pragmatic and collaborative team player with innate ability to engage with stakeholders at all levels in the organization. A self-starter with high levels of drive, energy, resilience and a desire for professional excellence with a passion for data and data science How We Work Together We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. this role is an office role. About Philips We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others. Learn more about our business. Discover our rich and exciting history. Learn more about our purpose. If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here.

Job Description for MMM Role: Management Level : Ind&Func AI Decision Science Consultant Location : Gurgaon, Bangalore Must-Have Skills: Market Mix Modeling (MMM) Techniques, Optimization Algorithms for budget allocation and promotional channel optimization, Statistical and Probabilistic Methods: SVM, Decision Trees, Programming Languages & Tools: Python, NumPy, Pandas, Sklearn, AI/ML Models Development and Data Pipeline Management, Data Management within Snowflake (data layers, migration), Cloud Platforms experience (Azure, AWS, GCP) Good-to-Have Skills: Experience with Nonlinear Optimization Techniques, Experience in Data Migration (cloud to Snowflake), Proficiency in SQL and cloud-based technologies, Understanding of Econometrics/Statistical Modeling (Regression, Time Series, Multivariate Analysis). Job Summary We are seeking a skilled Ind & Func AI Decision Science Consultant to join the Accenture Strategy & Consulting team in the Global Network – Data & AI practice . This role is focused on Market Mix Modeling (MMM) , where you will be responsible for developing AI/ML models, optimizing promotional channels, managing data pipelines, and working on scaling marketing mix models across cloud platforms. You will work with leading financial clients, leveraging cutting-edge technology to drive business impact and innovation. Roles & Responsibilities Engagement Execution Lead MMM engagements that involve optimizing promotional strategies, budget allocation, and marketing analytics solutions. Apply advanced statistical techniques and machine learning models to improve marketing effectiveness. Collaborate with clients to develop tailored market mix models, delivering data-driven insights to optimize their marketing budgets and strategies. Develop Proof of Concepts (PoC) for clients, including scoping, staffing, and execution phases. Practice Enablement Mentor and guide analysts, consultants, and managers to build their expertise in Market Mix Modeling and analytics. Contribute to the growth of the Analytics practice through knowledge sharing, staffing initiatives, and development of new methodologies. Promote thought leadership in Marketing Analytics by publishing research and presenting at industry events. Opportunity Development Identify business development opportunities in marketing analytics and develop compelling business cases for potential clients. Work closely with deal teams to provide subject matter expertise in MMM, ensuring the development of high-quality client proposals and responses to RFPs. Client Relationship Development Build and maintain strong, trusted relationships with internal and external clients. Serve as a consultant to clients, offering strategic insights to optimize marketing spend and performance. Professional & Technical Skills 3+ years of experience in Market Mix Modeling (MMM) and associated optimization techniques. Strong knowledge of nonlinear optimization, AI/ML models, and advanced statistical techniques for marketing. Proficiency in programming languages such as Python, NumPy, Pandas, Sklearn, Seaborne, Pycaret, and Matplotlib. Experience with cloud platforms such as AWS, Azure, or GCP and data migration to Snowflake. Familiarity with econometrics/statistical modeling techniques (Regression, Hypothesis Testing, Time Series, Multivariate Analysis). Hands-on experience in managing data pipelines and deploying scalable machine learning architectures. Additional Information: Master’s degree in Statistics, Econometrics, Economics, or related fields from reputed universities. Ph.D. or M.Tech is a plus. Excellent communication and interpersonal skills to effectively collaborate with global teams and clients. Willingness to travel up to 40% of the time. Work on impactful projects to help clients optimize their marketing strategies through advanced data-driven insights. About Our Company | Accenture

Job Title Data Scientist I/II Job Description At Philips, data is in the center of everything we do. We believe that, every data item has a story of its own. If you have a penchant for unravelling the hidden patterns, then you are the person we are looking for! To build our next generation smarts, you will be working with experts in a variety of fields, including clinical & regulatory specialists, UX designers, dental and skin care professionals, system architects, product management to integrate new technologies and refine system performance. You will help build learning systems, leveraging data sets consisting of user interactions and actions, collected from hundreds of thousands of consumer devices, per day to model, analyse, and predict user behaviours. While some of our algorithms run on resource constrained devices, others require large clusters on our cloud infrastructure. As data scientist you will investigate, discern, and interpret data sets to recognize user behaviour and predict trends. Job Responsibilities · Use predictive modeling to increase and optimize customer experiences, revenue generation, campaign optimization and other business outcomes · Work with product management to develop data use cases and embed predictive models in workflows on resource constrained platforms and cloud enabled. · Selecting features, building and optimizing classifiers using machine learning and deep learning techniques · Collaborates with Data Engineers to enhance data collection and ingestion/curation techniques to include information that is relevant for building analytic systems · Processing, cleansing, and verifying the integrity of data used for analysis · Develop processes and tools to monitor and analyze model performance and data accuracy. Life cycle management of predictive models. · Adherence to compliance procedures in accordance with regulatory standards, requirements, and policies. Managing and designing the reporting environment, including data sources security, and metadata. Job Qualifications: Master’s degree or PhD in Computer Science, Information management, Statistics or related field, with 5 to 7 years of experience in the Consumer or Healthcare industry manipulating data sets and building predictive models with focus on product development Experience in statistical modelling, machine learning, data mining, unstructured data analytics and natural language processing. Sound understanding of - Bayesian Modelling, Classification Models, Cluster Analysis, Neural Network, Nonparametric Methods, Multivariate Statistics, etc. Strong hands on knowledge of ML techniques like regression algorithms, K-NN, Naïve Bayes, SVM and ensemble techniques like Random forest, AdaBoost etc Having strong knowledge in unsupervised learning algorithms using Neural networks and Deep-Learning Strong knowledge in Data Wrangling and Exploration techniques to identify the patterns, trends and outliners. Deep knowledge and practical experience with data science toolkits, such as NumPy, Pandas, scikit-learn or equivalent Experience with data visualization tools, such as QlikView, Matplotlib, seaborn or equivalent tools. Proficiency in using query languages, such as SQL, PL/SQL Hands on experience in the one or more databases like Hadoop, AWS Redshift, Snowflake etc. Good applied statistics skills, such as distributions, statistical testing, regression, etc. Good ETL scripting and programming skills, such as Python, R or Scala to integrate developed solution into the proposition. A team player capable of working and integrating across cross-functional team for implementing project requirements. Experience in technical requirements gathering and documentation. Ability to work effectively and independently in a fast-paced global collaborative agile team environment with tight deadlines A flexible, pragmatic and collaborative team player with innate ability to engage with stakeholders at all levels in the organization. A self-starter with high levels of drive, energy, resilience and a desire for professional excellence with a passion for data and data science How we work together We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. this role is an office role. About Philips We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others. Learn more about our business . Discover our rich and exciting history . Learn more about our purpose . If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here . #LI-EU #LI-Hybrid #LI-PHILIN

Silverpush is at the forefront of AI-powered video advertising, delivering sophisticated video ad solutions that empower brands to achieve impactful campaigns within a privacy-centric environment. Operating across 30+ countries, we specialize in creating contextually relevant advertising experiences that drive genuine engagement and conversion. Silverpush's commitment to innovation and technological advancement enables us to navigate the evolving digital landscape, providing our partners with the tools necessary to connect with audiences on a global scale. We are dedicated to fostering a culture of creativity and excellence, driving the future of ad tech with integrity and foresight. Job Title: Data Scientist Location: Gurugram Experience: 3+ Responsibilities: ● Analyze complex datasets to identify trends, patterns, and correlations, and extract actionable insights that can inform strategic decisions. ● Design and build predictive models using statistical and machine learning techniques (e.g., regression, classification, XGBoost, clustering). ● Research and develop analyses and forecasting and optimization methods across ads performance, content performance modeling, and live experiments. ● Research and prototype using cutting-edge LLM technologies and generative AI to unlock new opportunities in personalization, targeting, and automation. Ideal Candidate Profile: ● 3+ years of experience in Data Science, ideally in advertising or media-related domains. ● Degree in a quantitative discipline (e.g., Statistics, Computer Science, Mathematics, Masters in DS). ● Deep experience working with large-scale structured and unstructured data. ● Strong foundation in machine learning and statistical modeling. ● Familiar with building and deploying models in production (basic MLOps knowledge). ● Comfortable with NLP and computer vision, and interested in applying LLMs to real-world use cases. ● Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders. Technical Skills ● Languages & Tools: Python, PySpark, SQL ● ML Techniques: Regression, Classification, Clustering, Decision Trees, Random Forests, XGBoost, SVM ● LLM Tech: Familiarity with tools like OpenAI, Hugging Face, LangChain, and prompt engineering ● Data Infrastructure: ETL tools, Postgres, BigQuery/Snowflake, S3/GCP ● Statistical Analysis: A/B testing, experiment design, causal inference

Job Title: AI & Machine Learning Trainer (4+ Years Real-Time Experience) Location: Chennai Job Type: Full-Time / Part-Time Experience Required: Minimum 4 years of real-time experience in AI & Machine Learning Training Mode: Online & Offline (Both) Job Summary: We are seeking a passionate and experienced AI with Machine Learning Trainer to deliver hands-on training to aspiring professionals and students. The ideal candidate must have in-depth knowledge of real-time industry applications and be able to translate complex AI/ML concepts into simple, engaging training sessions. Roles & Responsibilities: Design and deliver structured training programs in Artificial Intelligence, Machine Learning, and Deep Learning . Explain real-time industry projects and guide learners in building practical models. Provide mentoring, doubt clarification, and technical guidance throughout the training duration. Develop and update course content, case studies, and project-based learning modules. Evaluate trainee progress through assessments and provide constructive feedback. Stay updated with the latest advancements in AI/ML technologies and incorporate them into the curriculum. Conduct mock interviews, career guidance sessions, and project evaluations for trainees. Key Skills Required: Proficiency in Python , NumPy , Pandas , Scikit-learn , Matplotlib , Seaborn . Strong knowledge of ML algorithms : Linear/Logistic Regression, Decision Trees, Random Forest, SVM, KNN, etc. Experience with Deep Learning frameworks such as TensorFlow , Keras , or PyTorch . Hands-on experience in NLP , Computer Vision , or Reinforcement Learning (preferred). Experience with tools like Jupyter Notebook , Google Colab , Git/GitHub . Familiarity with real-time deployment using Flask/Django, APIs, and cloud platforms (AWS/GCP/Azure) is a plus. Strong presentation and communication skills with the ability to simplify complex topics. Eligibility Criteria: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field. 4+ years of industry experience in AI/ML domain. Prior experience in training, mentoring, or corporate workshops is preferred. Kindly share your resume with the given WhatsApp number-6374808456

Role -L2 Solaris Required Technical Skill Set -Sun Certified System Administrator, Cluster Administration, Zones, Containers. Desired Experience Range 4 to 6Yrs Location of Requirement -Chennai Desired Competencies (Technical/Behavioral Competency) Must-Have High level of proficiency with installing, configuring, and administering the Solaris operating system Excellent Troubleshooting Skills in Veritas Cluster / Sun Cluster Sound Knowledge in Solaris 8, 9, 10 & 11 Operating system. Good experience on server virtualization technologies like LDOM/OVM for SPARC and Solaris Zones Able to handle most of basic to advanced calls in User, group management, system start-up, service modification, crontab entries, ACL modifications, file system management, FLAR backup & restorations. Performing OS installation, OS hardening and kernel parameters tuning Performing SVM/File system activities Performing package & patch installation Experience in Architecture/Design of Oracle Sun Server Infrastructure Experience in Server Management, Backup, with the help of the tool provided. Should have used any backup management software i.e. Veeam, HPDP, TSM Disk Administration with VERITAS Volume Manager, zpool / ZFS & Solstice Disk Suite. Service monitoring and SLA management Establishing and maintaining process documents and run books Excellent communication skills Good-to-Have Experience in Shell scripting (ksh/bash) Experience in OpenLDAP administration Experience in communicating technical contents and vendor management Analytical ability and Smooth coordination skills with various teams and vendors. Basic understanding on storage & network technologies