3352 Data Scientist Jobs - Page 17

Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. What’s more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data. Join us to do the best work of your career and make a profound social impact as a Data Science Advisor on our Data Science Team in Bangalore/Hyderabad What you’ll achieve As a Data Science Advisor, you will be responsible for contributing to business strategy and influence decision making based on information gained from deep dive analysis. You will produce actionable and compelling recommendations by interpreting insights from complex data sets. You will design processes to consolidate and examine unstructured data to generate actionable insights. You will also partner with business leaders, engineers and industry experts to construct predictive models, algorithms and probability engines. You will: Solve business and customer problems utilizing LLM//Agents and traditional AI/ML Build prototypes and scalable AI/ML solutions that will be integrated into software productsC Collaborate with software engineers, business stakeholders and product owners in an Agile environment Have complete ownership of model outcomes and drive continuous improvement Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role: Essential Requirements Proficient withwriting sophisticated, clean, and object orientedPython code Strong background in math, statistics, and machine Learning knowledge (deep learning, NLP, classification, forecasting, regression) Professional experience in ML model deployment in production Ability to work with internal stakeholders to transfer business questions into data science problem statements Desirable Requirements Master’s or PhD in a quantitative discipline. Professional experience with LLM/Agentic technologies Who we are We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Application closing date: 30-August-25 Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Job ID: R274672

About Us Zelis is modernizing the healthcare financial experience in the United States (U.S.) across payers, providers, and healthcare consumers. We serve more than 750 payers, including the top five national health plans, regional health plans, TPAs and millions of healthcare providers and consumers across our platform of solutions. Zelis sees across the system to identify, optimize, and solve problems holistically with technology built by healthcare experts – driving real, measurable results for clients. Why We Do What We Do In the U.S., consumers, payers, and providers face significant challenges throughout the healthcare financial journey. Zelis helps streamline the process by offering solutions that improve transparency, efficiency, and communication among all parties involved. By addressing the obstacles that patients face in accessing care, navigating the intricacies of insurance claims, and the logistical challenges healthcare providers encounter with processing payments, Zelis aims to create a more seamless and effective healthcare financial system. Zelis India plays a crucial role in this mission by supporting various initiatives that enhance the healthcare financial experience. The local team contributes to the development and implementation of innovative solutions, ensuring that technology and processes are optimized for efficiency and effectiveness. Beyond operational expertise, Zelis India cultivates a collaborative work culture, leadership development, and global exposure, creating a dynamic environment for professional growth. With hybrid work flexibility, comprehensive healthcare benefits, financial wellness programs, and cultural celebrations, we foster a holistic workplace experience. Additionally, the team plays a vital role in maintaining high standards of service delivery and contributes to Zelis’ award-winning culture. Position Overview Zelis is looking for a Senior Data Scientist who will collaborate with our analytics and data engineering teams to collect, analyze, and derive insights from company, client, and publicly available data. The ideal candidate must have strong experience in data mining/data analysis/predictive modeling, using a variety of data tools, building, and implementing models, supervised and unsupervised learning, NLP, feature reduction, cluster analysis and creating/running simulations. They must be comfortable working with a wide range of stakeholders and functional teams. Essential Duties and Functions Understand the business objective and directly participate in the delivery of data science solutions to solve business problems. Extract and analyze data: assessing quality, profiling, cleansing, exploratory data analysis and the transformation of large and complex datasets to be utilized for developing the statistical models. Design and develop different statistical modeling techniques such as regression, classification models, anomaly detection models, clustering models, deep learning models and feature reduction etc. to derive actionable insights. Build, test, validate models through various relevant methodologies, error metrics and calibration techniques. Validate the post-production model performance and calculate the ROI Work with cloud analytic platforms on AWS/ Azure using PySpark, Sagemaker, Snowflake, Azure Synapse Analytics, etc. Perform multiple tasks and deal with changing deadline requirements. This includes knowing when to escalate issues. Maintain a focused, flexible, organized, proactive and positive behavior and approach. Monitor the projects of Junior Data Scientists, and mentor and provide them guidance when needed. Proactively provide recommendations to the business based on the insights derived from data science modeling techniques to resolve business problems. Communicate data science models’ complex results and the insights to the non-technical audiences. Interact with cross-functional technical teams and multiple business stakeholders to support integration of data science solutions into the business processes. Experience, Qualifications, Knowledge, and Skills Advanced degree in data science, statistics, computer science, or equivalent with a background in statistics. Experience with healthcare and/or insurance data is a plus. Proficiency in SQL, Python/R, NLP and LLM 3-5 years of relevant work experience including 5 years of experience in developing algorithms using data science technologies to evaluate data scenarios and future outcomes. Competent in machine learning principles and techniques. Experience with cloud-based data and AI solutions. Familiarity with collaboration environments (e.g. Jupyter notebooks,gitlab ,github etc)

Job Information Date Opened 07/25/2025 Job Type Permanent RSD NO 11513 Industry IT Services Min Experience 5 Max Experience 7 City Chennai State/Province Tamil Nadu Country India Zip/Postal Code 600018 Job Description Data Scientist – Retail/CPG Domain Are you a data-driven problem solver with a passion for Retail and CPG analytics? We’re looking for a contract-based Data Scientist to join our team and deliver high-impact insights that drive business decisions. What You’ll Work On: Category & Product Analytics – Product assortment, category performance, and new product launches Sales Data Analysis – Sales trends, forecasting, and identifying key drivers Customer Analytics – Loyalty data and campaign effectiveness (good to have) Key Skills: Advanced data analysis and ML model development Experience with CI/CD pipelines for ML workflows (MLflow, Azure ML) Strong in Python, SQL, Databricks; PySpark is a plus Power BI experience is a plus for building impactful dashboards and visualizations Ability to translate insights into compelling stories for senior stakeholders Deep understanding of Retail and FMCG domain challenges Experience Required: 5–7 years in analytics Location: Bangalore / Chennai At Indium diversity, equity, and inclusion (DEI) are the cornerstones of our values. We champion DEI through a dedicated council, expert sessions, and tailored training programs, ensuring an inclusive workplace for all. Our initiatives, including the WE@IN women empowerment program and our DEI calendar, foster a culture of respect and belonging. Recognized with the Human Capital Award, we are committed to creating an environment where every individual thrives. Join us in building a workplace that values diversity and drives innovation.

Job Information Date Opened 08/01/2025 Job Type Permanent RSD NO 10889 Industry IT Services Min Experience 3 Max Experience 4 City Chennai State/Province Tamil Nadu Country India Zip/Postal Code 600018 Job Description Experience with GenAI, Agentic AI, LLM Training, and LLM-driven workflow development. Knowledge of large multi-modal models is a must. Experience in MLOps, Scientific Machine Learning, Statistical Modelling, and Data Visualization. Must have experience with the development and implementation of various core regression, classification and recommendation Machine Learning algorithms. Must have hands-on experience with Deep Learning technologies for computer vision and image processing as well as core neural network applications like optimization. Experience in developing ML, AI, and Data Science solutions and putting solutions in production, with proficiency in Data Engineering, is desirable. At Indium diversity, equity, and inclusion (DEI) are the cornerstones of our values. We champion DEI through a dedicated council, expert sessions, and tailored training programs, ensuring an inclusive workplace for all. Our initiatives, including the WE@IN women empowerment program and our DEI calendar, foster a culture of respect and belonging. Recognized with the Human Capital Award, we are committed to creating an environment where every individual thrives. Join us in building a workplace that values diversity and drives innovation.

Job Title: Data Scientist Experience: 6+ years Location: Remote Working Hours : USA EST Mode: contract 3-6 months Key Responsibilities: Develop advanced MMM (Media Mixed Modeling) and MTA (Multi-touch Attribution) models to optimize marketing and advertising strategies Analyze large volumes of structured and unstructured data to uncover trends, correlations, and actionable insights Build and deploy machine learning models and predictive algorithms to solve complex business problems Gather data from diverse sources, clean and transform it for analysis Apply statistical techniques to validate models and ensure accuracy and reliability Automate analytical workflows and repetitive tasks using AI tools and scripting languages Create compelling visualizations, dashboards, and reports to communicate insights across teams Collaborate with cross-functional teams including AdSales, Data Engineering, and Analytics Stay updated on the latest developments in AI, machine learning, and media analytics. Required Skills & Experience: 6+ years of experience in data science, analytics, or machine learning roles At least 3 years of experience in AdTech or AdSales systems Hands-on experience in developing MMM and MTA models Strong understanding of OTT, digital media, and advertising ecosystems Proficiency in programming languages like Python, R, or SQL for data manipulation and modeling Experience working with large datasets, data pipelines, and BI/reporting tools Familiarity with statistical methods, experiment design, and model evaluation metrics Excellent problem-solving, communication, and stakeholder management skills Job Type: Contractual / Temporary Contract length: 6 months Pay: ₹150,000.00 - ₹200,000.00 per month

As an AI/ML Engineer, your primary responsibility will be deploying AI/ML solutions to productions and deriving value from them. You will collaborate with teammates and engage with stakeholders, data team, business team, and product team to develop End-to-End solutions. Your support to the dev-ops team in deploying and integrating solutions with existing systems will be crucial. Ensuring Data Quality and Availability is a key aspect of your role, involving handling missing, unstructured, or inconsistent data for model training and validation. Developing models that perform effectively in real-world scenarios, optimizing scalability of AI solutions, and keeping abreast of rapid advances in AI are part of your responsibilities. You will also need to ensure ethical and regulatory compliance of AI models, maintaining transparency, fairness, and adherence to regulations and ethical guidelines. To be successful in this role, you should have 2 - 4 years of relevant experience. The preferred educational qualifications include a Masters in Science, Statistics, Machine Learning, Data Science, or a Bachelors in Engineering, Technology, Data Science, or Computer Science. Your functional skills should encompass working knowledge of the Data Science toolbox, including Python, SQL, Jupyter Notebook, Azure/AWS cloud, PySpark, TensorFlow, PyTorch, Keras, and other Big Data tools. An in-depth understanding of AI/ML models, particularly in LLM, Reinforcement Learning, Computer Vision, and Deep Learning, is essential. Expertise in NLP, Computer Vision, and Speech technology (STT, TTS) will be advantageous. On the behavioral front, you should possess the ability to align technology with business objectives, thrive on innovation, and have a problem-solving mindset for experimentation. Your focus should be on achieving results with excellence in execution, maintaining customer orientation, and exuding passion and energy at work. A positive "Can Do and Will Do" attitude will be instrumental in driving success in this role.,

As a Data Scientist with 7 to 10 years of experience, you will be based in Chennai and work in a hybrid job mode. Your primary role will involve developing data-driven insights and innovations within the Sidekick product. This will include a focus on analytics, dashboarding, and Generative AI research and development. Your responsibilities will include developing and maintaining data analytics and dashboards for the Sidekick product to provide key insights to stakeholders. You will also conduct research and development in Generative AI to enhance Sidekick features and functionality. Analyzing large datasets to identify trends, patterns, and opportunities for improvement will be a crucial part of your role. Collaborating with product and engineering teams to transform insights into actionable strategies will also be expected. Additionally, you will be required to develop and implement machine learning models to support Sidekick's capabilities. To excel in this role, you should possess skills in R Shiny, R programming, dashboarding, and AI development. Your experience should span 7 to 10 years in data science with a strong emphasis on analytics and model development. Proficiency in programming languages such as Python, including hands-on experience with relevant libraries like pandas, scikit-learn, TensorFlow, or PyTorch is essential. Furthermore, familiarity with data visualization tools and expertise in machine learning and Generative AI techniques are also highly desirable.,

You will be part of a rapidly growing team at NPS Prism, a technology-led business venture owned by Bain & Company, located in Gurugram. As a Data Scientist specializing in Large Language Models (LLMs), your role will involve developing and deploying innovative solutions to address various business challenges using cutting-edge machine learning techniques. You will collaborate with cross-functional teams to identify use cases for LLM applications and work towards building a robust analytics architecture. Staying updated with the latest advancements in LLMs and NLP will be a key part of your responsibilities, along with analyzing complex data to derive actionable insights. Your qualifications should include a Bachelor's or Master's degree in computer science, Data Science, Statistics, or a related field, along with 4+ years of experience in data science with a focus on natural language processing and LLMs. Proficiency in Python & PySpark, experience with machine learning frameworks like TensorFlow, PyTorch, and Hugging Face Transformers, as well as cloud computing platforms such as AWS, Google Cloud, Azure, are essential. Strong problem-solving skills, the ability to communicate technical concepts effectively, and experience in a fast-paced startup environment are also required. In this role, you will lead the development and deployment of LLM-based solutions, design and optimize machine learning models, mentor junior data scientists, and ensure the scalability and robustness of LLM solutions in production environments. You will be expected to take ownership of projects end-to-end, operate in ambiguous situations, and deliver results within ambitious timelines. Your contribution to code reviews and continuous improvement of ML infrastructure and practices will be crucial for the team's success. By joining NPS Prism, you will have the opportunity to work on groundbreaking projects, collaborate with talented individuals, and drive business growth to new heights. If you are a self-motivated individual with a passion for data science and a drive to excel in a challenging environment, we encourage you to apply and be part of our journey towards shaping the future of customer experience benchmarking and operational improvement.,

Job Information Date Opened 08/01/2025 Job Type Permanent RSD NO 10889 Industry IT Services Min Experience 3 Max Experience 4 City Chennai State/Province Tamil Nadu Country India Zip/Postal Code 600018 Job Description Experience with GenAI, Agentic AI, LLM Training, and LLM-driven workflow development. Knowledge of large multi-modal models is a must. Experience in MLOps, Scientific Machine Learning, Statistical Modelling, and Data Visualization. Must have experience with the development and implementation of various core regression, classification and recommendation Machine Learning algorithms. Must have hands-on experience with Deep Learning technologies for computer vision and image processing as well as core neural network applications like optimization. Experience in developing ML, AI, and Data Science solutions and putting solutions in production, with proficiency in Data Engineering, is desirable. At Indium diversity, equity, and inclusion (DEI) are the cornerstones of our values. We champion DEI through a dedicated council, expert sessions, and tailored training programs, ensuring an inclusive workplace for all. Our initiatives, including the WE@IN women empowerment program and our DEI calendar, foster a culture of respect and belonging. Recognized with the Human Capital Award, we are committed to creating an environment where every individual thrives. Join us in building a workplace that values diversity and drives innovation.

About Us Zelis is modernizing the healthcare financial experience in the United States (U.S.) across payers, providers, and healthcare consumers. We serve more than 750 payers, including the top five national health plans, regional health plans, TPAs and millions of healthcare providers and consumers across our platform of solutions. Zelis sees across the system to identify, optimize, and solve problems holistically with technology built by healthcare experts – driving real, measurable results for clients. Why We Do What We Do In the U.S., consumers, payers, and providers face significant challenges throughout the healthcare financial journey. Zelis helps streamline the process by offering solutions that improve transparency, efficiency, and communication among all parties involved. By addressing the obstacles that patients face in accessing care, navigating the intricacies of insurance claims, and the logistical challenges healthcare providers encounter with processing payments, Zelis aims to create a more seamless and effective healthcare financial system. Zelis India plays a crucial role in this mission by supporting various initiatives that enhance the healthcare financial experience. The local team contributes to the development and implementation of innovative solutions, ensuring that technology and processes are optimized for efficiency and effectiveness. Beyond operational expertise, Zelis India cultivates a collaborative work culture, leadership development, and global exposure, creating a dynamic environment for professional growth. With hybrid work flexibility, comprehensive healthcare benefits, financial wellness programs, and cultural celebrations, we foster a holistic workplace experience. Additionally, the team plays a vital role in maintaining high standards of service delivery and contributes to Zelis’ award-winning culture. Position Overview Zelis is looking for a Senior Data Scientist who will collaborate with our analytics and data engineering teams to collect, analyze, and derive insights from company, client, and publicly available data. The ideal candidate must have strong experience in data mining/data analysis/predictive modeling, using a variety of data tools, building, and implementing models, supervised and unsupervised learning, NLP, feature reduction, cluster analysis and creating/running simulations. They must be comfortable working with a wide range of stakeholders and functional teams. Essential Duties and Functions Understand the business objective and directly participate in the delivery of data science solutions to solve business problems. Extract and analyze data: assessing quality, profiling, cleansing, exploratory data analysis and the transformation of large and complex datasets to be utilized for developing the statistical models. Design and develop different statistical modeling techniques such as regression, classification models, anomaly detection models, clustering models, deep learning models and feature reduction etc. to derive actionable insights. Build, test, validate models through various relevant methodologies, error metrics and calibration techniques. Validate the post-production model performance and calculate the ROI Work with cloud analytic platforms on AWS/ Azure using PySpark, Sagemaker, Snowflake, Azure Synapse Analytics, etc. Perform multiple tasks and deal with changing deadline requirements. This includes knowing when to escalate issues. Maintain a focused, flexible, organized, proactive and positive behavior and approach. Monitor the projects of Junior Data Scientists, and mentor and provide them guidance when needed. Proactively provide recommendations to the business based on the insights derived from data science modeling techniques to resolve business problems. Communicate data science models’ complex results and the insights to the non-technical audiences. Interact with cross-functional technical teams and multiple business stakeholders to support integration of data science solutions into the business processes. Experience, Qualifications, Knowledge, and Skills Advanced degree in data science, statistics, computer science, or equivalent with a background in statistics. Experience with healthcare and/or insurance data is a plus. Proficiency in SQL, Python/R, NLP and LLM 3-5 years of relevant work experience including 5 years of experience in developing algorithms using data science technologies to evaluate data scenarios and future outcomes. Competent in machine learning principles and techniques. Experience with cloud-based data and AI solutions. Familiarity with collaboration environments (e.g. Jupyter notebooks,gitlab ,github etc)

About Us Zelis is modernizing the healthcare financial experience in the United States (U.S.) across payers, providers, and healthcare consumers. We serve more than 750 payers, including the top five national health plans, regional health plans, TPAs and millions of healthcare providers and consumers across our platform of solutions. Zelis sees across the system to identify, optimize, and solve problems holistically with technology built by healthcare experts – driving real, measurable results for clients. Why We Do What We Do In the U.S., consumers, payers, and providers face significant challenges throughout the healthcare financial journey. Zelis helps streamline the process by offering solutions that improve transparency, efficiency, and communication among all parties involved. By addressing the obstacles that patients face in accessing care, navigating the intricacies of insurance claims, and the logistical challenges healthcare providers encounter with processing payments, Zelis aims to create a more seamless and effective healthcare financial system. Zelis India plays a crucial role in this mission by supporting various initiatives that enhance the healthcare financial experience. The local team contributes to the development and implementation of innovative solutions, ensuring that technology and processes are optimized for efficiency and effectiveness. Beyond operational expertise, Zelis India cultivates a collaborative work culture, leadership development, and global exposure, creating a dynamic environment for professional growth. With hybrid work flexibility, comprehensive healthcare benefits, financial wellness programs, and cultural celebrations, we foster a holistic workplace experience. Additionally, the team plays a vital role in maintaining high standards of service delivery and contributes to Zelis’ award-winning culture. Position Overview Zelis is looking for a Senior Data Scientist who will collaborate with our analytics and data engineering teams to collect, analyze, and derive insights from company, client, and publicly available data. The ideal candidate must have strong experience in data mining/data analysis/predictive modeling, using a variety of data tools, building, and implementing models, supervised and unsupervised learning, NLP, feature reduction, cluster analysis and creating/running simulations. They must be comfortable working with a wide range of stakeholders and functional teams. Essential Duties And Functions Understand the business objective and directly participate in the delivery of data science solutions to solve business problems. Extract and analyze data: assessing quality, profiling, cleansing, exploratory data analysis and the transformation of large and complex datasets to be utilized for developing the statistical models. Design and develop different statistical modeling techniques such as regression, classification models, anomaly detection models, clustering models, deep learning models and feature reduction etc. to derive actionable insights. Build, test, validate models through various relevant methodologies, error metrics and calibration techniques. Validate the post-production model performance and calculate the ROI Work with cloud analytic platforms on AWS/ Azure using PySpark, Sagemaker, Snowflake, Azure Synapse Analytics, etc. Perform multiple tasks and deal with changing deadline requirements. This includes knowing when to escalate issues. Maintain a focused, flexible, organized, proactive and positive behavior and approach. Monitor the projects of Junior Data Scientists, and mentor and provide them guidance when needed. Proactively provide recommendations to the business based on the insights derived from data science modeling techniques to resolve business problems. Communicate data science models’ complex results and the insights to the non-technical audiences. Interact with cross-functional technical teams and multiple business stakeholders to support integration of data science solutions into the business processes. Experience, Qualifications, Knowledge, And Skills Advanced degree in data science, statistics, computer science, or equivalent with a background in statistics. Experience with healthcare and/or insurance data is a plus. Proficiency in SQL, Python/R, NLP and LLM 3-5 years of relevant work experience including 5 years of experience in developing algorithms using data science technologies to evaluate data scenarios and future outcomes. Competent in machine learning principles and techniques. Experience with cloud-based data and AI solutions. Familiarity with collaboration environments (e.g. Jupyter notebooks,gitlab ,github etc)

we are hiring Lead Data Scientist !!! As a seasoned Lead Data Scientist , you will join our team in Bangalore and play a pivotal role in driving the development and implementation of advanced data and AI solutions. Responsibilities Lead the design and implementation of generative AI solutions, leveraging NLP, text analytics, sentiment analysis, transformer models, gen-AI, LLM, and vector databases to drive innovation and business impact. Provide strategic guidance and mentorship to the team, fostering a culture of continuous learning and professional development in AI technologies. Collaborate with cross-functional teams to identify and prioritize AI opportunities, aligning with business objectives and operational needs. Develop and execute gen-AI roadmaps, ensuring the successful delivery of gen-AI projects/solutions from ideation to deployment. Stay abreast of the latest advancements in gen-AI and data science, evaluating emerging technologies and best practices to enhance our AI capabilities. Partner with stakeholders to understand their requirements and translate them into scalable gen-AI solutions, driving tangible value for the organization. Lead and contribute to AI research initiatives, publishing findings and representing the organization in industry forums and events. Oversee the design and optimization of gen-AI algorithms, models, and frameworks, ensuring robustness, efficiency, and accuracy. Champion the adoption of AI ethics and governance principles, embedding responsible AI practices into our solutions and processes. Cultivate a collaborative and inclusive work environment, promoting knowledge sharing and cross-team collaboration to achieve AI excellence. Requirements : Proven experience as a Data Scientist for minimum 5 years. Solid understanding of machine learning. Knowledge of data management and visualization techniques. Good knowledge of R, Python and MATLAB Experience with SQL and NoSQL databases Strong project management skills and proven ability working in cross-functional teams and mentoring talent. Job Types: Full-time, Permanent Pay: ₹800,000.00 - ₹1,500,000.00 per year Benefits: Provident Fund Schedule: Day shift Monday to Friday Experience: Data science: 4 years (Preferred) Work Location: In person

Job Description Overview We are PepsiCo PepsiCo is one of the world's leading food and beverage companies with more than $79 Billion in Net Revenue and a global portfolio of diverse and beloved brands. We have a complementary food and beverage portfolio that includes 22 brands that each generate more than $1 Billion in annual retail sales. PepsiCo's products are sold in more than 200 countries and territories around the world. PepsiCo's strength is its people. We are over 250,000 game changers, mountain movers and history makers, located around the world, and united by a shared set of values and goals. We believe that acting ethically and responsibly is not only the right thing to do, but also the right thing to do for our business. At PepsiCo, we aim to deliver top-tier financial performance over the long term by integrating sustainability into our business strategy, leaving a positive imprint on society and the environment. We call this Winning with Pep+ Positive . For more information on PepsiCo and the opportunities it holds, visit www.pepsico.com. PepsiCo Data Analytics & AI Overview: With data deeply embedded in our DNA, PepsiCo Data, Analytics and AI (DA&AI) transforms data into consumer delight. We build and organize business-ready data that allows PepsiCo’s leaders to solve their problems with the highest degree of confidence. Our platform of data products and services ensures data is activated at scale. This enables new revenue streams, deeper partner relationships, new consumer experiences, and innovation across the enterprise. The Data Science Pillar in DA&AI will be the organization where Data Scientist and ML Engineers report to in the broader D+A Organization. Also DS will lead, facilitate and collaborate on the larger DS community in PepsiCo. DS will provide the talent for the development and support of DS component and its life cycle within DA&AI Products. And will support “pre-engagement” activities as requested and validated by the prioritization framework of DA&AI. Data Scientist-Gurugram and Hyderabad The role will work in developing Machine Learning (ML) and Artificial Intelligence (AI) projects. Specific scope of this role is to develop ML solution in support of ML/AI projects using big analytics toolsets in a CI/CD environment. Analytics toolsets may include DS tools/Spark/Databricks, and other technologies offered by Microsoft Azure or open-source toolsets. This role will also help automate the end-to-end cycle with Machine Learning Services and Pipelines. Responsibilities Delivery of key Advanced Analytics/Data Science projects within time and budget, particularly around DevOps/MLOps and Machine Learning models in scope Collaborate with data engineers and ML engineers to understand data and models and leverage various advanced analytics capabilities Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards Use big data technologies to help process data and build scaled data pipelines (batch to real time) Automate the end-to-end ML lifecycle with Azure Machine Learning and Azure/AWS/GCP Pipelines. Setup cloud alerts, monitors, dashboards, and logging and troubleshoot machine learning infrastructure Automate ML models deployments Qualifications Minimum 3years of hands-on work experience in data science / Machine learning Minimum 3year of SQL experience Experience in DevOps and Machine Learning (ML) with hands-on experience with one or more cloud service providers BE/BS in Computer Science, Math, Physics, or other technical fields. Data Science – Hands on experience and strong knowledge of building machine learning models – supervised and unsupervised models Programming Skills – Hands-on experience in statistical programming languages like Python and database query languages like SQL Statistics – Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators Any Cloud – Experience in Databricks and ADF is desirable Familiarity with Spark, Hive, Pig is an added advantage Model deployment experience will be a plus Experience with version control systems like GitHub and CI/CD tools Experience in Exploratory data Analysis Knowledge of ML Ops / DevOps and deploying ML models is required Experience using MLFlow, Kubeflow etc. will be preferred Experience executing and contributing to ML OPS automation infrastructure is good to have Exceptional analytical and problem-solving skills

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Description Summary: What you need to know about the role Global Fraud Prevention resides in the Global Risk Management (GRM) organization that supports various business lines in optimizing risk and rewards to enable profitable business growth You will work with a team of global risk professionals focusing on managing the EU & UK acquisition strategies to support the growth of Small Medium Business (SMB) line of business across EU & UK Meet our team: This role reports to the Senior Manager of Global SMB Onboarding Risk Management. In addition, you will work closely with SMB business leaders, Risk Products, Decision Science, Fraud Operations, and Engineering to execute on the acquisition risk management roadmap that you and your team will develop to mitigate 3rd party fraud and 1st party abuse as well as money movement risks. Job Description: Essential Responsibilities: Develop and implement data science models and algorithms. Analyze and interpret complex data sets. Ensure data quality and integrity. Collaborate with stakeholders to understand data requirements. Optimize data processes for efficiency and performance. Perform advanced statistical analysis and reporting. Minimum Qualifications: Minimum of 2 years of relevant work experience and a Bachelor's degree or equivalent experience. PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us. For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset-you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com Who We Are: To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com. Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.

We are hiring for a leading AI-first unicorn in India seeking a curious and analytical Data Scientist with 1-5 years of experience. This is a high-impact role where you will work with massive datasets to uncover actionable insights, build predictive models, and directly influence product strategy and business decisions. If you are passionate about using data and machine learning to solve real-world problems, this is the perfect opportunity for you. What You'll Do (Your Responsibilities): Data Analysis: Analyze large, complex datasets to extract actionable insights that drive key business decisions in product, marketing, and operations. Machine Learning: Build, train, and deploy machine learning models to solve problems like forecasting, classification, customer segmentation, and recommendation. Experimentation: Design and conduct rigorous A/B tests and other experiments to evaluate product features and strategic initiatives. Storytelling with Data: Communicate complex findings and the "story" behind the data to both technical and non-technical stakeholders through clear visualizations and reports. Collaboration: Work cross-functionally with product, engineering, and business teams to identify opportunities for leveraging data. What We're Looking For (Your Qualifications): Experience: 1-5 years of hands-on experience in a data science or analytics role. Core Skills: Strong programming skills in Python and deep proficiency in data science libraries ( Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch ). SQL Mastery: Advanced proficiency in SQL for complex data extraction, transformation, and analysis. ML & Stats: Solid understanding of machine learning algorithms, statistical principles, and data modeling techniques. Data Visualization: Experience with data visualization tools like Tableau, Power BI, or Matplotlib/Seaborn. Business Acumen: The ability to translate business problems into data science problems and vice versa. Our Unique Application Process: To fast-track your application directly to hiring managers, we use a two-step process: Submit Your Resume: On the Portal AI-Powered Interview: You will be invited to a short, recorded video interview. This is your chance to showcase your skills and personality beyond your resume.

Vacancy - Team Member - Data Science - Corporate office -Mumbai Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 2 to 6 years of experience in data modeling Skills: Python | Machine Learning | Deep Learning | Generative AI | LLMs | NLP | Serve as lead data strategist to identify and integrate new datasets that can be leveraged through our product capabilities, and work closely with the engineering team in the development of data products Execute analytical experiments to help solve problems across various domains and industries Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables Devise and utilize algorithms and models to mine big-data stores; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy Analyze data for trends and patterns, and interpret data with clear objectives in mind Implement analytical models in production by collaborating with software developers and machine-learning engineers Deep understanding of predictive modeling, machine-learning, clustering and classification techniques Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools

Join our Team About this opportunity: We are seeking a versatile Data Scientist to join our dynamic team at Ericsson. You will play a pivotal role in harnessing machine learning solutions to solve complex business problems. Predicated on scientific methods, process-driven systems, you will be the driving force behind Ericsson's applied analytics. You will be expected to understand classical and advanced machine learning concepts and apply this knowledge practically to fulfil customer requirements. What you will do: Participate in mapping requirements to implementation - Analysing, coordinating, prioritizing, and optimizing requirements. Ensuring implementation even with constraints. Work with data and develop predictive models, recommendation engines, anomaly detection systems, statistical models, deep learning models, and other machine learning systems Good understanding of machine learning concepts and programming languages like Python, Pyspark, SQL etc. based on latest market trends Ability to work within constraints and timelines and follow the delivery standards and processes defined within Ericsson Good understanding and implementation knowhow of on-premise and well as on-cloud machine learning solutions The skills you bring: Business Understanding. Artificial Intelligence Systems. Software Engineering. Data Management. Ericsson Business Intelligence and Analytics Competence. Open-Source Programming Languages. Data Preprocessing. Statistics. Cloud Development. Machine Learning Algorithms.

Role-AIML Engineer Location- Remote Expereince-8 to 12 years Notice-Immediate Only Interested candidated share your resume to sunilkumar@xpetize.com Job description: Seeking a highly experienced and technically adept AI/ML Engineer to spearhead a strategic initiative focused on analyzing annual changes in IRS-published TRCs and identifying their downstream impact on codebases. Role demands deep expertise in machine learning, knowledge graph construction, and software engineering processes. The ideal candidate will have a proven track record of delivering production-grade AI solutions in complex enterprise environments. Key Responsibilities: Design and development of an AI/ML-based system to detect and analyze differences in IRS TRC publications year-over-year. Implement knowledge graphs to model relationships between TRC changes and impacted code modules. Collaborate with tax domain experts, software engineers, and DevOps teams to ensure seamless integration of the solution into existing workflows. Define and enforce engineering best practices, including CI/CD, version control, testing, and model governance. Drive the end-to-end lifecycle of the solution—from data ingestion and model training to deployment and monitoring. Ensure scalability, performance, and reliability of the deployed system in a production environment. Mentor junior engineers and contribute to a culture of technical excellence and innovation. Required Skills & Experience: 8+ years of experience in software engineering, with at least 5 years in AI/ML solution delivery. Strong understanding of tax-related data structures, especially IRS TRCs, is a plus. Expertise in building and deploying machine learning models using Python, TensorFlow/PyTorch, and ML Ops frameworks. Hands-on experience with Knowledge graph technologies (e.g., Neo4j, RDF, SPARQL, GraphQL). Deep familiarity with software architecture, microservices, and API design. Experience with NLP techniques for document comparison and semantic analysis. Proven ability to lead cross-functional teams and deliver complex projects on time. Strong communication and stakeholder management skills.

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Description Summary: What you need to know about the role Global Fraud Prevention resides in the Global Risk Management (GRM) organization that supports various business lines in optimizing risk and rewards to enable profitable business growth You will work with a team of global risk professionals focusing on managing the EU & UK acquisition strategies to support the growth of Small Medium Business (SMB) line of business across EU & UK Meet our team: This role reports to the Senior Manager of Global SMB Onboarding Risk Management. In addition, you will work closely with SMB business leaders, Risk Products, Decision Science, Fraud Operations, and Engineering to execute on the acquisition risk management roadmap that you and your team will develop to mitigate 3rd party fraud and 1st party abuse as well as money movement risks. Job Description: Essential Responsibilities: Develop and implement data science models and algorithms. Analyze and interpret complex data sets. Ensure data quality and integrity. Collaborate with stakeholders to understand data requirements. Optimize data processes for efficiency and performance. Perform advanced statistical analysis and reporting. Minimum Qualifications: Minimum of 2 years of relevant work experience and a Bachelor's degree or equivalent experience. PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us. For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset-you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com Who We Are: To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at [email protected] . Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Description Summary: What you need to know about the role Global Fraud Prevention resides in the Global Risk Management (GRM) organization that supports various business lines in optimizing risk and rewards to enable profitable business growth You will work with a team of global risk professionals focusing on managing the EU & UK acquisition strategies to support the growth of Small Medium Business (SMB) line of business across EU & UK Meet our team: This role reports to the Senior Manager of Global SMB Onboarding Risk Management. In addition, you will work closely with SMB business leaders, Risk Products, Decision Science, Fraud Operations, and Engineering to execute on the acquisition risk management roadmap that you and your team will develop to mitigate 3rd party fraud and 1st party abuse as well as money movement risks. Job Description: Essential Responsibilities: Develop and implement data science models and algorithms. Analyze and interpret complex data sets. Ensure data quality and integrity. Collaborate with stakeholders to understand data requirements. Optimize data processes for efficiency and performance. Perform advanced statistical analysis and reporting. Minimum Qualifications: Minimum of 2 years of relevant work experience and a Bachelor's degree or equivalent experience. PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us. For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset-you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com Who We Are: To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at [email protected] . Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.

You will be part of Maruti Suzuki's Analytics Centre of Excellence (ACE) CoE team as a Data Scientist. Your responsibilities will include designing and implementing workflows of Linear and Logistic Regression, Ensemble Models (Random Forest, Boosting) using R/Python. You should have demonstrable competency in Probability and Statistics, with the ability to use ideas of Data Distributions, Hypothesis Testing, and other Statistical Tests. Experience in handling outliers, denoising data, and managing the impact of pandemic-like situations will be crucial. Additionally, you will be expected to perform Exploratory Data Analysis (EDA) of raw data, conduct feature engineering where applicable, and showcase competency in Data Visualization using the Python/R Data Science Stack. Leveraging cloud platforms for training and deploying large-scale solutions, as well as training and evaluating ML models using various machine learning and deep learning algorithms, will be part of your role. You will also need to retrain and maintain model accuracy in deployment and package & deploy large-scale models on on-premise systems using multiple approaches including docker. Taking complete ownership of the assigned project, working in Agile environments, and being well-versed with project tracking tools like JIRA or equivalent will be expected. Your competencies should include knowledge of cloud platforms (AWS, Azure, and GCP), exposure to NoSQL databases (MongoDB, Cassandra, Cosmos DB, HBase), and forecasting experience in products like SAP, Oracle, Power BI, Qlik, etc. Proficiency in Excel (Power Pivot, Power Query, Macros, Charts), experience with large datasets and distributed computing (Hive/Hadoop/Spark), and transfer learning using state-of-the-art models in different spaces such as vision, NLP, and speech will be beneficial. Integration with external services and Cloud API, as well as working with data annotation approaches and tools for text, images, and videos, will also be part of your responsibilities. The ideal candidate should have a minimum of 2 years and a maximum of 8 years of work experience, along with a Bachelor of Technology (B.Tech) or equivalent educational qualification.,

The ideal candidate for the Data Scientist position at TransOrg Analytics should have a Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, or a related quantitative field. You should possess 3-5 years of relevant experience in data analysis or a related role, along with expertise in data pre-processing and manipulation using Python or SQL. Experience in statistical analysis and modeling techniques such as regression, classification, and clustering is essential. Candidates with experience in machine learning, deep learning frameworks, and libraries will be preferred. Proficiency in data processing tools and frameworks, as well as data visualization tools like Tableau or Power BI, is required. You should have a proven track record of managing data project delivery, meeting deadlines, managing stakeholder expectations, and producing clear deliverables. Strong problem-solving skills and attention to detail are crucial for this role, along with the ability to think critically and provide data-backed insights. Excellent communication skills, both verbal and written, are a must. Familiarity with Cloud Platforms like Azure, AWS, or GCP, and the ability to use them for developing, training, and testing deep learning models will be an added advantage. Knowledge of cloud-based data warehousing platforms, particularly Snowflake, is also beneficial. If you are passionate about leveraging data science to streamline, optimize, and accelerate businesses, and meet the above requirements, we invite you to join our team at TransOrg Analytics. Visit www.transorg.com to learn more about us and explore how you can contribute to our mission of providing advanced analytics solutions to industry leaders and Fortune 500 companies across India, US, APAC, and the Middle East.,

OnGrid is a rapidly growing digital trust platform in India that specializes in providing verifications, background checks, reference checks, employee/staff onboarding, KYC services, and issuing verified credentials. Founded by IIT-B alumni, OnGrid has successfully completed over 500 million checks and serves 3000+ satisfied clients. The core focus at OnGrid is on redefining and reimagining Trust by leveraging technology to build a digital trust platform that ensures verified credentials are instantly sourced directly from the provider. The team at OnGrid has established the foundational pillars of trust and is now looking to explore uncharted territories and innovative approaches. To drive this vision forward and scale it further, OnGrid is seeking a motivated Senior AI Engineer who possesses experience in developing high-performing, scalable, enterprise-grade applications. If you are a visionary individual who is constantly seeking the right solutions, a technology enthusiast who is eager to enhance their skills, and someone who is passionate about driving impactful change, then you are the ideal candidate OnGrid is looking for. As a Senior AI Engineer at OnGrid, your key responsibilities will include collaborating with product and tech teams to shape and enhance the AI strategy and R&D efforts, contributing to significant AI use cases for both internal and client applications, developing AI/ML solutions for complex problems while upholding ethical standards, conducting research in areas like computer vision, NLP, Gen AI, and deep learning, as well as integrating and optimizing AI models in production systems using real-time data. The ideal candidate should hold a Bachelor's or Master's degree in Computer Science or a related field, with a specialization in Data Science, Machine Learning, or Artificial Intelligence being advantageous. A minimum of 3+ years of practical experience in solving real-world AI challenges is required, focusing on various areas such as Computer Vision, Deep Learning, Object Detection, NLP, Generative AI, RAG, LLMs, and AI agents. Proficiency in Python programming, experience with frameworks like Django and Flask, Java knowledge, familiarity with Microservices Architecture, and exposure to cloud platforms like AWS, Azure, or Google Cloud are desirable qualifications. In terms of technical expertise, the candidate should have hands-on experience with vision models such as YOLO, ResNet, and OCR, expertise in generative AI models and LLMs like Claude, LLaMA, Qwen, Mistral, etc., and proficiency in using frameworks and tools like TensorFlow, PyTorch, LangChain, PydanticAI, OpenCV, Django, Flask, Postman, Docker, Swagger, AWS, and GCP. Furthermore, a strong understanding of GPU-accelerated training, deployment of AI models in production environments, and advanced AI concepts like convolutional neural networks, transformer architectures, and data preparation pipelines is essential. Joining OnGrid provides an opportunity to work in a dynamic and innovative team environment, tackle impactful challenges, shape the future of digital trust and AI technologies, and be part of a collaborative workspace that fosters continuous learning and growth.,

AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Title: Data Scientist Location: Bangalore Reporting to: Senior Manager Analytics 1.Purpose of the role The Data Scientist will play a key role in designing and delivering data-driven solutions that enable better decision-making across the organization. This role requires strong hands-on coding skills in Python, experience with core data science libraries, and the ability to statistically validate features and models. The analyst will collaborate across teams, work efficiently with existing codebases, and apply version control and development best practices to build scalable, production-ready analytics solutions. With intermediate SQL expertise and a solid grasp of model development workflows, the role ensures robust, interpretable, and actionable outcomes from complex data. 2.Key Tasks AND Accountabilities Develop and maintain data science models using Python, applying intermediate to advanced knowledge of syntax, data structures, and key libraries such as pandas and numpy. Perform feature engineering and statistical validation of features and models to ensure robustness, accuracy, and business relevance. Write clean, modular, and well-documented code following best development practices; optionally adopt Test-Driven Development (TDD) to enable faster iteration and feedback cycles. Collaborate with cross-functional teams to understand data requirements, align on analytical solutions, and translate business problems into data science problems. Read, understand, and extend existing codebases, adapting quickly to different coding styles and project structures. Leverage version control tools like Git for collaborative development, code management, and maintaining reproducibility of models. Write and optimize intermediate-level SQL queries to extract, transform, and analyze data from structured databases. Contribute to the deployment readiness of models, ensuring outputs are interpretable, reusable, and aligned with production or decision-support use cases. Document processes, assumptions, and outputs clearly for stakeholder transparency, reproducibility, and future reference. Stay up to date with industry trends, new tools, and emerging best practices in data science, analytics, and development methodologies. 3.Qualifications, Experience, Skills Bachelor’s or master’s degree in computer science, Information Systems, Artificial Intelligence, Machine Learning, or a related field (B. Tech / BE / Masters in CS/IS/AI/ML). Work experience Minimum of 3 years of hands-on experience in a data science or analytics role, with a proven track record of building and deploying data-driven solutions in real-world scenarios. Technical Skills Required, Python Programming (Intermediate to Advanced): Strong grasp of syntax, data structures, and experience with libraries like pandas and NumPy. Data Science Fundamentals: Ability to statistically validate features and models, ensuring sound analytical rigor. SQL (Intermediate): Proficiency in writing queries to extract, manipulate, and analyze data from relational databases. Version Control (GIT): Familiarity with collaborative development using Git for code versioning and management. Code Adaptability: Comfortable working with and modifying existing codebases written by others. Good to have skills: Object-Oriented Programming (OOPs) in Python : Understanding and applying OOP concepts where appropriate. Test-Driven Development (TDD): Awareness of TDD practices for faster iteration and improved code quality. Model Deployment Lifecycle Knowledge : Familiarity with reproducibility, tracking, and maintaining deployed models (though not explicitly required, it’s a plus if known). And above all of this, an undying love for beer! We dream big to create future with more cheers .