3811 Data Science Jobs - Page 29

Greetings from Sutherland! We are hiring for a Senior Manager - Data Scientist. This is a 5 day work from home/remote opportunity with UK shifts(3 pm - 12 pm) shifts. Please see below the job description and qualifications required for the same. The Sr. Manager / Manager Data Science at Sutherland would play a very vital role in analysing the data from various sources and providing insights that can help in driving performance in the right direction. The position would employ mathematical and statistical methods to analyse various forms of data (like data from Analytics tools, monitoring data, surveys, KPI data, etc.) and will recommend solutions or changes to processes and procedures to help improve performance. Job Description Collect data from various sources like Analytics tools, CRM, Survey, Monitoring, etc. Thoroughly clean and prune data to discard irrelevant information Explore and examine data from a variety of angles to determine hidden weaknesses, trends and/or opportunities. Conduct undirected research and frame open-ended industry questions. Employ sophisticated analytics tools and statistical methods to build efficient descriptive, diagnostic, and predictive models like trends, RCA of opportunities, prediction of KPIs, and employee behaviour like attrition. Prescribing solutions, process changes, employee profiling, training / coaching needs, etc. Devise data-driven solutions for the business challenges Communicate predictions and findings to management through effective data visualizations, reports and presentations Measure the effectiveness of actions like training, coaching, etc. Recommend cost-effective changes to existing procedures and strategies Work in a collaborative manner with stakeholders Managers and Supervisors in various departments to collect data and implement changes that are required. Keep the Management updated about the Transformational initiatives and their effectiveness Qualifications Graduate / Postgraduate in Science / Mathematics / Statistics / Engineering 10+ years of overall experience in IT/ ITES industry supporting clients from different verticals Strong analytical ability with good knowledge of data mining, data visualization and statistical tools and methods Ability to build effective models for data analysis and analytics Excellent Project management skills with ability to create and execute action plans while working with multiple stakeholders Effective communicator with experience in interacting with stakeholders internally and externally Experience with Digital tools and Transformation technology

About the job: Key responsibilities: 1. Provide personalized counselling sessions to students and professionals interested in pursuing a career in fields such as Data Science, Artificial intelligence, and Digital Marketing 2. Offer guidance on course selection, career options, and skill development based on individual strengths and interests 3. Stay updated on industry trends and advancements in areas like Web development, Machine Learning, Finance, and Human Resources to provide relevant and accurate information to clients 4. Assist clients in setting academic and career goals, and develop action plans to help them achieve success 5. Collaborate with other team members to organize workshops, seminars, and events to educate clients about the latest technologies and trends in the industry 6. Maintain a database of resources and contacts in the fields of Computer skills, Data Science, and Finance to provide clients with access to additional support and opportunities 7. Monitor and evaluate client progress to ensure they are on track to reach their academic and career goals, and make adjustments to their plans as needed Who can apply: Only those candidates can apply who: are Computer Science Engineering students Salary: ₹ 2,00,000 - 3,00,000 /year Experience: 0 year(s) Deadline: 2025-08-02 23:59:59 Other perks: 5 days a week Skills required: Finance, Digital Marketing, Machine Learning, Computer skills, Web development, Data Science, Human Resources and Artificial intelligence About Company: Eduveda Academy is a prominent educational institution dedicated to bridging the gap between academic learning and career success. With a focus on skill-based courses and personalized guidance, Eduveda aims to prepare students for the dynamic challenges of the professional world. Eduveda provides a wide range of programs across various domains, including Web Development, Data Science, Android Development, Machine Learning, Cyber Security, IoT & Robotics, Artificial Intelligence, Cloud Computing, Hybrid & Electric Vehicles, Auto CAD, Digital Marketing, Finance, Human Resource, Stock Market, UI/UX Design, Graphic Design, and Medical Sciences. Courses are designed and delivered by industry experts, ensuring that students receive up-to-date and practical knowledge. Eduveda's programs are accredited by reputable organizations, including Wipro, ensuring that students receive education that meets industry standards.

Responsibilities: *Analyze large database using Python & SQL. * Design, Develop and evaluate machine learning modules. * Collaborate on project delivery within timelines. * Present findings through clear documentation. Food allowance

Very Urgent: GenAI Consultant / Sr. GenAI Consultant Company: AurumData Solutions Location: Hyderabad Experience:7 -10Years (2+years in AI) Work type: Work From Office Key skills: GenAI, Python, Data analysis, LLM, TensorFlow, PyTorch, SQL, RAG, NLP, LangChain, LangGraph, SQL etc.. JD for Gen AI Consultant: This job description outlines a role for an AI Specialist who will be responsible for developing and implementing AI solutions across various domains. Here's a breakdown of the key aspects: This position combines traditional machine learning expertise with cutting-edge LLM technologies and practical application development skills. The role requires experience across the full AI development stack, from data management and model fine-tuning to building sophisticated agent-based systems and user-facing applications. Core Responsibilities - Developing AI models and algorithms - Implementing machine learning techniques for data analysis - Creating NLP applications (chatbots, virtual assistants) - Data preprocessing and feature engineering - Model evaluation and optimization - Research and innovation in AI - Cross-functional collaboration - Technical documentation Required Skills - Strong background in machine learning and deep learning - Python programming with frameworks like TensorFlow and PyTorch - Independent project management capabilities - Data science workflow experience - Cloud platform knowledge (AWS, Google Cloud, Azure) - Problem-solving with practical solutions - **Experience with vector databases** - **Knowledge of Large Language Models (LLMs)** - **Implementation of Retrieval-Augmented Generation (RAG) systems** - **Experience with LLM fine-tuning techniques** - **Expertise in fine-tuning LLMs for specific domains/tasks** - **Front-end development skills** for AI application interfaces - **Proficiency with Pydantic** for data validation and settings management - **Experience developing agentic frameworks** for autonomous AI systems - **Familiarity with LangChain** for building LLM applications - **Knowledge of Hugging Face** ecosystem and model hub - **Experience with LangGraph** for building complex, multi-agent systems Qualifications - Bachelor's or Master's in Computer Science, AI, or related fields - Experience in startup environments - Passion for AI applications If you are interested, kindly send your CVs to Madhavi@aurumdatasolutions.com

Were Hiring | Data Science Manager Location: Bangalore Experience: 813 Years Must-Have Skills: • Proven experience as a Data Scientist • Strong Python coding skills • Hands-on with libraries: NumPy, Pandas, Scikit-learn, etc. • Exposure to LLMs & Generative AI • Experience in Project & Team Management

About Tredence: Tredence is a global data science solutions provider founded in 2013 by Shub Bhowmick, Sumit Mehra, and Shashank Dubey focused on solving the last-mile problem in AI. Headquartered in San Jose, California, the company embraces a vertical-first approach and an outcome-driven mindset to help clients win and accelerate value realization from their analytics investments. The aim is to bridge the gap between insight delivery and value realization by providing customers with a differentiated approach to data and analytics through tailor-made solutions. Tredence is 3500-plus employees strong with offices in San Jose, Foster City, Chicago, London, Toronto, and Bangalore, with the largest companies in retail, CPG, hi-tech, telecom, healthcare, travel, and industrials as clients. Please find below the job description. About the Role We are looking for an experienced and visionary Generative AI Architect with 10-15 years of experience in AI/ML, including hands-on work with LLMs (Large Language Models) and Generative AI solutions . In this strategic technical leadership role, you will be responsible for designing and overseeing the development of advanced GenAI platforms and solutions that transform business operations and customer experiences. As the GenAI Architect, you will work closely with data scientists, ML engineers, product teams, and stakeholders to conceptualize, prototype, and scale generative AI use cases across the organization or client engagements. Key Responsibilities GenAI Solution Architecture & Design Lead the design and development of scalable GenAI solutions leveraging LLMs , diffusion models , and multimodal architectures . Architect end-to-end pipelines involving prompt engineering , vector databases , retrieval-augmented generation (RAG) , and LLM fine-tuning . Select and integrate foundational models (e.g., GPT, Claude, LLaMA, Mistral ) based on business needs and technical constraints. Technical Strategy & Leadership Define GenAI architecture blueprints, best practices, and reusable components for rapid development and experimentation. Guide teams on model evaluation, inference optimization , and cost-effective scaling strategies . Stay current on the rapidly evolving GenAI landscape and assess emerging tools, APIs, and frameworks. Collaboration & Delivery Work with product owners, business leaders, and data teams to identify high-impact GenAI use cases across domains like customer support, content generation, document understanding, and code generation. Support PoCs, pilots, and production deployments of GenAI models in secure, compliant environments. Collaborate with MLOps and cloud teams to enable continuous delivery, monitoring, and governance of GenAI systems. Required Qualifications & Experience Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related technical field . PhD is a plus. Experience: 12-15 years in AI/ML and software engineering, with 3+ years focused on Generative AI and LLM-based architectures . Core Skills Deep expertise in machine learning , natural language processing (NLP) , and deep learning architectures . Hands-on experience with LLMs, transformers, fine-tuning techniques (LoRA, PEFT) , and prompt engineering . Proficient in Python , with libraries/frameworks such as Hugging Face Transformers, LangChain, OpenAI API, PyTorch, TensorFlow . Experience with vector databases (e.g., Pinecone, FAISS, Weaviate) and RAG pipelines . Strong understanding of cloud-native AI architectures (AWS/GCP/Azure), containerization (Docker/Kubernetes), and API integration. Architectural & Leadership Skills Proven ability to design and deliver scalable, secure, and efficient GenAI systems . Strong communication skills for cross-functional collaboration and stakeholder engagement. Ability to mentor engineering teams and drive innovation across the AI/ML ecosystem. Nice-to-Have Experience with multimodal models (text + image/audio/video). Knowledge of AI governance, ethical AI, and compliance frameworks . Familiarity with MLOps practices for GenAI , including model versioning, drift detection, and performance monitoring. Required Skills Generative AI, LLM, GenAI

This is accomplished by building complete end-to-end ML enabled development cycle and leveraging AI capabilities extensively. This is a unique opportunity to work in a collaborative environment, implement the cutting edge machine learning techniques, especially forecasting modelings, and tackle challenging and distinctive problems. As a Principal Machine Learning engineer, you will independently work on the development and implementation of the cutting edge machine learning algorithms, training sophisticated models, collaborating with engineering and analytics teams, to build the AI functionality for Atlassian. Your daily responsibilities will encompass a broad spectrum of tasks such as understanding system and model architectures, conducting rigorous experimentation and model evaluations and dealing with related problems. Your role is pivotal, stretching beyond these tasks, ensuring AIs transformative potential is realized across Atlassian products and platforms. On the first day, well expect you to have 10+ years of total experience, 5+ years of related industry experience in the MLE / data science domain Fluency in Python Solid understanding of machine learning concepts and algorithms, including supervised and unsupervised learning, deep learning, and NLP. Familiarity with popular ML libraries like sci-kit-learn, Keras/TensorFlow/PyTorch, numpy, pandas Good Understanding of Machine Learning project lifecycle Experience in architecting and implementing high-performance RESTful microservices ( API development for ML Models ) Familiarity with MLOps and experience with scaling and deploying Machine Learning models Focus on business practicality and the 80/20 rule; very high bar for output quality, but recognize the business benefit of having something nowvs perfection sometime in the future Agile development mindset, appreciating the benefit of constant iteration and improvement Experience in model fine tuning, data collection, reinforced learning, synthetic data generation, feedback loop, latency / accuracy improvements, quantisation etc Ability to lead independently Its Great, But Not Required, If You Have Experience in developing deep learning-based models and working on LLM-related applications Excelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions. Experience or passion on building cutting edge developer tools products with AI/ML

As a Senior Machine Learning engineer, you will work on the development and implementation of the cutting edge machine learning algorithms, training sophisticated models, collaborating with engineering and analytics teams, to build the AI functionality into Atlassian products and platforms. Your daily responsibilities will encompass a broad spectrum of tasks such as designing system and model architectures, conducting rigorous experimentation and model evaluations, and providing guidance to junior ML engineers. Your role is pivotal, stretching beyond these tasks, ensuring AIs transformative potential is realized across Jira. On the first day, well expect you to have Bachelors or Masters degree (preferably a Computer Science degree or equivalent experience) 8+ years of related industry experience in the data science domain Expertise in Python or Java with and the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks) Experience building and scaling machine learning models in business applications using large amounts of data Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story Focus on business practicality and the 80/20 rule; very high bar for output quality, but recognize the business benefit of having something nowvs perfection sometime in the future Agile development mindset, appreciating the benefit of constant iteration and improvement Good to have Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space Experience in developing deep learning-based models and working on LLM-related applications Excelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions

Role & responsibilities Execute data science projects from start to end. Understand client business problems, define analytical approaches, and develop actionable solutions. Engage directly with stakeholders to gather requirements, present findings, and guide data-driven decisions. Preprocess and analyze structured and unstructured data using statistical approach. Build and deploy predictive models, forecasting solutions, recommendation systems. Collaborate with engineering, product, and business teams to translate insights into outcomes. Communicate results clearly through presentations and storytelling. Preferred candidate profile Graduate degree or higher with courses in programming, econometrics / data science Experience: 3 - 8 years of relevant professional work experience in advanced analytics domain, using statistical modeling and deep learning for business problem solutions. Well-developed Logical Reasoning, Critical Thinking & Problem-Solving abilities. Excellent presentations skills and storytelling capabilities. Self-driven with a collaborative attitude and a passion for delivering business value through data. Strong hands-on experience in Python/R and SQL. Good understanding and Experience with cloud platforms such as Azure, AWS, or GCP. Experience with data visualization tools in python like Seaborn, Plotly. Good understanding of Git concepts. Good experience with data manipulation tools in python like Pandas, Numpy. Must have worked with scikit learn, NLTK, Spacy, transformers. Strong foundation in machine learning algorithms, predictive modeling, and statistical analysis. Good understanding of deep learning concepts, especially in NLP and Computer Vision applications. Proficiency in time-series forecasting and business analytics for functions like marketing, sales, operations, and CRM. Exposure to tools like Mlflow, model deployment, API integration, and CI/CD pipelines. Good to have: Generative AI Experience with text and Image data. Familiarity with LLM frameworks such as LangChain and hubs like Hugging Face. Exposure to vector databases (e.g., FAISS, Pinecone, Weaviate) for semantic search or retrieval-augmented generation (RAG). In a changing world, diversity and inclusion are core values for team well-being and performance. At Metyis, we want to welcome and retain all talents, regardless of gender, age, origin or sexual orientation, and irrespective of whether or not they are living with a disability, as each of them has their own experience and identity.

The purpose of this role is to deliver analysis inline with client business objectives, goals, and to maintain, develop and exceed client performance targets. Job Description: Key responsibilities: Develops data science based solutions for clients based on marketing problems Leads sales meetings and present our value proposition around how data science drive business value for customers Sets team development and training objectives Builds client relationships to drive value and long-term growth Communicates findings and insights Location: DGS India - Bengaluru - Manyata N1 Block Brand: Merkle Time Type: Full time Contract Type: Permanent

Role and Responsibilities Design, develop, implement, and maintain AIML products to solve specific business problems Optimize the existing codes using advanced programming skills Execute AIML POC projects Collaborate with various stake holders (Data engineers, Cloud Engineers, Bas) in the practice to deliver optimal outcomes Work on various cloud platforms includes AWS, AZURE and GCP Work on big-data tools (PySpark) Design and develop ML pipelines includes feature engineering, model training & testing, model health monitoring and deployments Create reports, projections, models, and presentations to support business strategy and tactics Exercise independent judgment and decision making on complex issues regarding job duties and related tasks, and work under minimal supervision, use independent judgment requiring analysis of variable factors and determining the best course of action Qualifications and Education Requirements Master's Degree (Data Science/statistics/ Mathematics/Computer Science) + 8years of experience, or equivalent experience with a Bachelors degree Proficiency in programming, preferably Python, R, and SQL (PostgreSQL MySQL/) and NoSQL (MongoDB) Experience of Advanced programming in python/R/Spark includes developing multi-threading and Parallel Processing Experience in designing, developing, implementing and deploying ML products Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Demonstrated experience in AI Implementation and ML modeling problems of diverse scope and complexity Experience in Supervised and Unsupervised ML models training, testing and Validations Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business Ability to exercise independent judgment and decision making on complex issues regarding job duties and related tasks Ability to works under minimal supervision, using independent judgment Experience of working in agile & CICD environment Preferred Skills PhD in Math/Stat/Computer science/Data Science/Engineering Previous experience in IOT industry Experience in leading/ mentoring Experience in Hadoop Experience in Kafka Streaming.

Data Scientist III Data Science 1 About Junglee Games: With over 140 million users, Junglee Games is a leader in the online skill gaming space. Founded in San Francisco in 2012 and part of the Flutter Entertainment Group, we are revolutionizing how people play games. Our notable games include Howzat, Junglee Rummy, and Junglee Poker. Our team comprises over 1000 talented individuals who have worked on internationally acclaimed AAA titles like Transformers and Star Wars: The Old Republic and contributed to Hollywood hits such as Avatar. Junglee s mission is to build entertainment for millions of people around the world and connect them through games. Junglee Games is not just a gaming company but a blend of innovation, data science, cutting-edge tech, and, most importantly, a values-driven culture that is creating the next set of conscious leaders. Job overview: As our Data Scientist III, you will be a key driver of strategic and tactical data science projects. You ll partner closely with Product, Marketing, and Engineering teams to influence decisions and optimize outcomes using data, models, and experimentation. Job Location: Gurgaon Key Responsibilities: Lead complex analytics projects end-to-end: problem scoping, data wrangling, modeling, validation, and communication. Develop and deploy statistical models and machine learning solutions to improve core metrics (e.g., retention, monetization, user segmentation, etc.). Own experimentation and causal inference for product features (A/B testing, uplift modeling, etc.). Translate business problems into quantitative solutions and drive product and marketing roadmap with data insights. Collaborate with Data Engineering to design scalable data pipelines and ML deployment workflows. Qualifications & skills required: 5-7 years of experience in data science, preferably in B2C, gaming, consumer tech, or related industries. Strong foundation in statistics, probability, and machine learning (classification, regression, clustering, time-series, etc.). Hands-on experience with Python/R and SQL. Experience with tools like Airflow, Spark, DBT, or similar is a plus. Experience designing and analyzing experiments (A/B testing, DoE). Strong problem-solving mindset with a focus on impact and ownership. Excellent communication skills; ability to simplify complex findings for non-technical stakeholders. Be a part of Junglee Games to: Value Customers & Data - Prioritize customers, use data-driven decisions, master KPIs, and leverage ideation and A/B testing to drive impactful outcomes. Inspire Extreme Ownership - We embrace ownership, collaborate effectively, and take pride in every detail to ensure every game becomes a smashing success. Lead with Love - We reject micromanagement and fear, fostering open dialogue, mutual growth, and a fearless yet responsible work ethic. Embrace change - Change drives progress and our strength lies in adapting swiftly and recognizing when to evolve to stay ahead. Play the Big Game - We think big, challenge norms, and innovate boldly, driving impactful results through fresh ideas and inventive problem-solving. Avail a comprehensive benefits package that includes paid gift coupons, fitness plans, gadget allowances, fuel costs, family healthcare, and much more. Know more about us Explore the world of Junglee Games through our website, www.jungleegames.com . Get a glimpse of what Life at Junglee Games looks like on LinkedIn . Here is a quick snippet of the Junglee Games Offsite 24 Liked what you saw so far? Be A Junglee

Real is a fast-growing national real estate brokerage powered by technology. Real is currently operating in all U.S. states, Canada, and the District of Columbia. Founded in 2014, Real is a trailblazer in the Residential Real Estate industry, as we lead the disruption with our cutting-edge technology platform. We are on a mission to revolutionize the home-buying and selling process, making agents lives better while creating lucrative financial opportunities for them. Work Schedule: 3:30 PM TO 12:30AM IST Location: Remote - India. Availability: Must be able to join within 45 days of offer. Job Summary: We are seeking a skilled and motivated AI Product Associate to join our research and development team at Real. This role will involve improving the system s accuracy, efficiency, and overall user experience by managing data sources, analyzing user queries, and collaborating with cross-functional teams. You will directly contribute to a groundbreaking product that helps real estate brokers and agents save time, reduce errors, and deliver better service to their clients. Duties/Responsibilities Enhance Knowledge Sources: Regularly manage and update the documentation and data sources that drive the AI assistant s responses, ensuring they are accurate, relevant, and up-to-date. Analyze and Improve: Identify patterns and trends in user queries and support tickets to detect areas where the system falls short and implement solutions to improve AI performance. Collaborate on Solutions: Work closely with engineers, product managers, and QA teams to test, deploy, and validate updates, ensuring the system meets user expectations. Monitor and Refine: Continuously monitor the AI assistant s performance and fine-tune the RAG (retrieval-augmented generation) pipeline configuration to optimize the assistant s responsiveness and accuracy. Troubleshooting and Quality Assurance: Conduct in-depth troubleshooting to address issues related to AI performance and user interactions, ensuring the assistant delivers a seamless experience. Required Skills/Abilities: Strong analytical skills with the ability to identify trends and patterns in user behavior and system performance. Detail-oriented mindset with a focus on troubleshooting and quality assurance. Familiarity with SQL, Python, and Postman is highly preferred but not required. Basic knowledge of AI technologies and natural language processing (NLP) is a plus. Strong problem-solving abilities and proactive approach to system optimization. Ability to work collaboratively across engineering, product, and support teams. Passion for technology and an interest in shaping its application in the real estate industry. Education and Experience: Bachelors degree in Computer Science, Data Science, Engineering, or a related field, or equivalent experience. Experience working with data management, system optimization, or AI-related tools is a plus. Previous experience in troubleshooting or supporting AI systems or software products is a plus. Must-Have: Ability to truly encompass our Company Core Values Work Hard. Be Kind We are bigger than me Tech x Humanity Physical Requirements: Sit for long periods of time Real is proud to be an equal opportunity workplace employer. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. #LI-SP1

Job Title: Full Stack Developer Location: Bangalore (On-site; full-time) About Locus : At Locus , we are redefining logistics decision-making with deep-tech solutions that drive efficiency, consistency, and transparency across industries like retail and FMCG/CPG. Founded in 2015 by Nishith Rastog i and Geet Garg , Locus has evolved from a women s safety geo-tracking app into a globally recognized logistics optimization platform . Our technology has empowered enterprises such as Unilever and Nestl to execute over a billion deliveries across 30+ countries. Guided by our commitment to innovation and sustainable growth, we transform complex supply chains into strategic growth enablers . Join us at Locus and be part of a team shaping the future of global logistics. Job Overview: Responsibilities Design & implement backend APIs at Locus.sh Actively work to reduce tech debt in the Locus Work towards more stability & scalability Understand and improve underlying architecture Experience working in AWS Environment Tech stack - Node.js, TypeScript (ReactJS), MongoDB Education Qualification: B.Tech or equivalent with at least 2+ years of experience Requirement: B.Tech or relevant degree, 2-4 years of product company experience Proficiency in Backend API development using Node.js Experience working in AWS Environment Good knowledge of Data Structure and Algorithms. Strong coding, testing, and debugging skills Experience with unit testing. Prior experience in building REST APIs Experience with MAVEN, JIRA, GIT, and CI Tools. Prior knowledge of solving problems at scale. Why Join Locus? Locus is building smart, scalable technology that powers logistics for global enterprises driven by AI, Data Science, and deep domain expertise. As Demand Gen Lead, you ll drive pipeline growth by leading data-driven marketing campaigns, aligning closely with sales teams, and optimizing strategies to attract and convert high-quality leads.

Position Summary... What youll do... About Team: This is the team which builds reusable technologies that aid in acquiring customers, onboarding and empowering merchants besides ensuring a seamless experience for both these stakeholders. We also optimize tariffs and assortment, adhering to the Walmart philosophy - Everyday Low Cost. In addition to ushering in affordability, we also create personalized experiences for customers the omnichannel way, across all channels - in-store, on the mobile app and websites. Marketplace is the gateway to domestic and international Third-Party sellers; we enable them to manage their end-to-end onboarding, catalog management, order fulfilment, return ; refund management. Our team is responsible for design, development, and operations of large-scale distributed systems by leveraging cutting-edge technologies in web/mobile, cloud, big data ; AI/ML. We interact with multiple teams across the company to provide scalable robust technical solutions. What youll do: As a S taff Data Scientist is responsible for building scalable end-to-end data science solutions for our data products. Work closely with data engineers and data analysts to help build ML- and statistics-driven data quality and continuous data monitoring workflows Solve business problems by scaling advanced Machine Learning algorithms and complex statistical models on large volumes of data Own the MLOps lifecycle, from data monitoring to refactoring data science code to building robust model monitoring workflows for model lifecycle management Demonstrate strong thought-leadership and consult with product and business stakeholders to build, scale and deploy holistic machine learning solutions after successful prototyping. Follow industry best practices, stay up to date with and extend the state of the art in machine learning research and practice and drive innovation Promote and support company policies, procedures, mission, values, and standards of ethics and integrity. What youll bring: Preferred qualifications: Knowledge of the foundations of machine learning and statistics Experience with web service standards and related patterns (REST, gRPC ) Experienced in architecting solutions with Continuous Integration and Continuous Delivery in mind Familiar with distributed in-memory computing technologies Solid experience working with state-of-the-art supervised and unsupervised machine learning algorithms on real-world problems Strong Python coding and package development skills Experience with Big Data and analytics in general leveraging technologies like Hadoop, Spark, and MapReduce; Ability to work in a big data ecosystem - expert in SQL/Hive and ability to work with Spark. Able to refactor data science code and has collaborated with data scientists in developing ML solutions. Experience playing the role of full-stack data scientist and taking solutions to production. Experience developing proper metrics instrumentation in software components, to help facilitate real-time and remote troubleshooting/performance monitoring. Educational qualifications should be preferably in Computer Science, Statistics, Engineering or a related area. Good effective communication (both written and verbal) skills and the ability to present complex ideas in a clear ; concise way, to different audiences. A team player with good work ethics Require prior experience in Delivery Promise Optimization domain or in Supply Chain domain with hands on experience in solving Large Scale Optimization problem (both Linear and Non-Linear Optimization). Require mandatory hands on experience in working in Spark or other comparable distributed computing frameworks About Walmart Global Tech . . Flexible, hybrid work . Benefits . Belonging . . Equal Opportunity Employer Walmart, Inc., is an Equal Opportunities Employer By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions while being inclusive of all people. Minimum Qualifications... Minimum Qualifications:Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years experience in an analytics related field. Option 3: 6 years experience in an analytics or related field. Preferred Qualifications... Primary Location... BLOCK- 1, PRESTIGE TECH PACIFIC PARK, SY NO. 38/1, OUTER RING ROAD KADUBEESANAHALLI, , India

Shape future tech talent by designing curriculum, mentoring interns, and collaborating on industry projects Must have 3+ years of experience in academia or RD, with expertise in Python, ML, IoT platforms (Arduino, ESP32), and hands-on teaching or consulting

The purpose of this role is to deliver analysis inline with client business objectives, goals, and to maintain, develop and exceed client performance targets. Job Description: Key responsibilities: Develops data science based solutions for clients based on marketing problems Leads sales meetings and present our value proposition around how data science drive business value for customers Sets team development and training objectives Builds client relationships to drive value and long-term growth Communicates findings and insights Location: DGS India - Bengaluru - Manyata N1 Block Brand: Merkle Time Type: Full time Contract Type: Permanent

Job Summary What you need to know about the role You will develop and enhance CECL and IFRS9-compliant loss forecasting models using advanced machine learning and statistical techniques. Your work will directly influence PayPal s credit risk management and loss reserves. Meet our team You ll join the Global Credit Intelligence Team, a collaborative group within the broader Global Credit Risk organization. Here, you ll work alongside experts in data science, finance, strategy, and risk to deliver innovative solutions that drive PayPal s credit risk analytics forward. You will partner closely with teams across the business including SLOD Model Risk Management, finance, and external regulators to ensure our models are robust, compliant, and impactful. Your work will help shape credit strategies that protect our customers and business, all within a supportive and inclusive environment where your ideas and growth are valued. Job Description Your way to impact In this role, you will apply advanced machine learning and statistical techniques to PayPal s rich proprietary data, driving the development of CECL and IFRS9-compliant loss forecasting models. Your work will directly shape credit risk strategies by providing accurate, data-driven insights that inform key business and regulatory decisions. As part of the Global Credit Intelligence Team, you will help ensure our credit policies and loss reserves are closely aligned with real-time risk exposures and evolving macroeconomic trends. By delivering robust, explainable models, you will play a vital role in supporting PayPal s strategic business decisions and compliance with regulatory requirements. Your day to day Extract, prepare, and validate large, complex datasets from PayPal s proprietary systems using SQL, Python to support model development and analytics. Build, enhance, and document CECL/IFRS9-compliant loss prediction models, leveraging PD/EAD/LGD frameworks and vintage loss rate methodologies. Conduct rigorous model performance testing, stress testing, and scenario analysis to ensure models are robust and regulatory-compliant Collaborate cross-functionally with implementation, finance, accounting, risk, and external stakeholders to align on model outputs, definitions, and business needs. Clearly communicate analytic insights and model results to senior leadership, and provide expert support for regulatory exams and audit reviews. What do you need to bring Advanced degree in a quantitative discipline (e.g., statistics, mathematics, data science, computer science, engineering, or related field). Deep expertise in statistical modeling, machine learning, or econometrics applied to credit risk, knowledge and familiarity of CECL and IFRS9 regulatory requirements and modeling best practices is a plus. Strong technical skills working with large datasets using SQL, Python, R, or similar tools; experience with cloud-based platforms such as GCP is highly desirable. 5+ years of hands-on experience developing consumer or small business credit risk models, preferably within a CECL/IFRS9 framework. Excellent communication and collaboration skills, with strong business judgment and a passion for data-driven problem solving. Preferred Qualification Subsidiary PayPal Travel Percent 0 For the majority of employees, PayPals 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 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 Click Here to learn more about our culture and community. 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 talentaccommodations@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.

You ll have the opportunity to: Leverage tools like GitHub Copilot Enterprise to assist and accelerate coding workflows Build AI-based automations that optimize common engineering processes Drive efficiency improvements across CI/CD pipelines, developer environments, and release practices Experiment with the latest in AI + DevOps tooling to enhance team velocity Influence best practices that scale across a global engineering organization What will make you eligible: This internship is ideal for individuals passionate about developer experience, process automation, and the practical application of AI in real-world enterprise engineering. If you have completed BE/BTech (IT/ Computer Science/ AIML/ Data Science) degree and are looking for an exciting internship opportunity, and have done some AI projects. If you are a 3rd-year student pursuing a degree in Engineering (IT, Computer Science, AIML, or Data Science) and are looking for an internship. (NOC from the college would be mandatory in this case), and have basic knowledge and completed AIML-based projects. We re seeking motivated and curious interns to join our Engineering Efficiency Team a group dedicated to transforming the way software is built and delivered. In this role, you ll work at the cutting edge of AI-powered developer productivity, contributing to initiatives that streamline workflows, eliminate toil, and enable engineers to focus on what they do best: building great software. Come help us make engineering at Icertis faster, smarter, and more efficient one commit at a time.

We are seeking a skilled Python Developer with experience in developing applications that utilize Generative AI (GenAI) capabilities and deep integration with Microsoft Azure services. The ideal candidate should have a strong foundation in Python, experience with GenAI libraries or APIs (like OpenAI, Azure OpenAI, LangChain, etc.), and the ability to build, deploy, and manage AI-powered solutions in the Azure ecosystem. Qualifications Bachelors or Master s degree in Computer Science, AI/ML, Data Science, or a related field(or equivalent practical experience in Python and AI application development)

Position Summary... What youll do... About Team: This is the team which builds reusable technologies that aid in acquiring customers, onboarding and empowering merchants besides ensuring a seamless experience for both these stakeholders. We also optimize tariffs and assortment, adhering to the Walmart philosophy - Everyday Low Cost. In addition to ushering in affordability, we also create personalized experiences for customers the omnichannel way, across all channels - in-store, on the mobile app and websites. Marketplace is the gateway to domestic and international Third-Party sellers; we enable them to manage their end-to-end onboarding, catalog management, order fulfilment, return ; refund management. Our team is responsible for design, development, and operations of large-scale distributed systems by leveraging cutting-edge technologies in web/mobile, cloud, big data ; AI/ML. We interact with multiple teams across the company to provide scalable robust technical solutions. What youll do: Senior Machine Learning Engineer is responsible for building scalable end-to-end data science solutions for our data products. Work closely with data engineers and data analysts to help build ML- and statistics-driven data quality and continuous data monitoring workflows Solve business problems by scaling advanced Machine Learning algorithms and complex statistical models on large volumes of data Own the MLOps lifecycle, from data monitoring to refactoring data science code to building robust model monitoring workflows for model lifecycle management Demonstrate strong thought-leadership and consult with product and business stakeholders to build, scale and deploy holistic machine learning solutions after successful prototyping. Follow industry best practices, stay up to date with and extend the state of the art in machine learning research and practice and drive innovation Promote and support company policies, procedures, mission, values, and standards of ethics and integrity. What youll bring: Knowledge of the foundations of machine learning and statistics Experience with web service standards and related patterns (REST, gRPC ) Experienced in architecting solutions with Continuous Integration and Continuous Delivery in mind Familiar with distributed in-memory computing technologies Solid experience working with state-of-the-art supervised and unsupervised machine learning algorithms on real-world problems Strong Python coding and package development skills Experience with Big Data and analytics in general leveraging technologies like Hadoop, Spark, and MapReduce; Ability to work in a big data ecosystem - expert in SQL/Hive and ability to work with Spark. Able to refactor data science code and has collaborated with data scientists in developing ML solutions. Experience playing the role of full-stack data scientist and taking solutions to production. Experience developing proper metrics instrumentation in software components, to help facilitate real-time and remote troubleshooting/performance monitoring. Educational qualifications should be preferably in Computer Science, Statistics, Engineering or a related area. Good effective communication (both written and verbal) skills and the ability to present complex ideas in a clear ; concise way, to different audiences. A team player with good work ethics Mandatory Skills : Machine Learning, Big Data Skills, Python, R About Walmart Global Tech . . Flexible, hybrid work . Benefits . Belonging . . Equal Opportunity Employer Walmart, Inc., is an Equal Opportunities Employer By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions while being inclusive of all people. Minimum Qualifications... Minimum Qualifications:Option 1- Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years experience in an analytics related field. Option 2- Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years experience in an analytics related field. Option 3 - 5 years experience in an analytics or related field. Preferred Qualifications... Primary Location... BLOCK- 1, PRESTIGE TECH PACIFIC PARK, SY NO. 38/1, OUTER RING ROAD KADUBEESANAHALLI, , India

About Highspot About The Role You will safeguard the quality of our AI and GenAI features by evaluating model outputs, creating golden datasets, and guiding continuous improvements in collaboration with data scientists and engineers. Be the guide to the team as the team creates a robust methodology and framework that will drive evaluation of hundreds of AI agents. Responsibilities Validate AI Output Review model results across text, documents, audio, and video; flag errors and improvement opportunities. Create Golden Datasets Build and maintain high-quality reference data with help from subject-matter experts. Data Annotation Accurately label multi-modal data and perform light preprocessing (e.g., text cleanup, image resizing). Quality Analytics Run accuracy metrics, trend analyses, and clustering to gauge model performance. Fine-Tune Model Code Adjust training scripts and parameters to boost accuracy and keep behavior consistent across models. Process Improvement & Documentation Refine annotation workflows and keep clear records of methods, findings, and best practices. Cross-Functional Collaboration Partner with ML engineers, product managers, and QA peers to ship reliable, user-ready features. Required Qualifications 2 to 4 years of experience in data science/AI/ML. Specific experience in evaluation of AI results is strongly preferred Working knowledge of AI/ML evaluation techniques Solid analytical skills and meticulous attention to detail. Bachelor s or Master s in Computer Science, Data Science, or a related field. Strong English written and verbal communication. Self-directed, organized, and comfortable with ambiguous problem spaces. #LI-SG1 Equal Opportunity Statement Did you read the requirements as a checklist and not tick every box? Dont rule yourself out! If this role resonates with you, hit the apply button.

Job Type Full-time Description About CloudBees CloudBees is the leading software delivery platform that enables enterprises to deliver scalable, compliant, and secure software, empowering developers to do their best work. Seamlessly integrating into any hybrid and heterogeneous environment, CloudBees is more than a tool its a strategic partner in your cloud transformation journey, ensuring security, compliance, and operational efficiency while enhancing the developer experience across your entire software development lifecycle. It allows developers to bring and execute their code anywhere, providing greater flexibility and freedom through fast, self-serve, and secure workflows. CloudBees supports organizations at every step of their DevSecOps journey, whether using Jenkins on-premise or transitioning software delivery to the cloud and wanting to accelerate their cloud transformation by years. CloudBees is helping customers build the future, today. About the role As an AI/ML Engineer at CloudBees, you will be a part of the AI team, and help the team deliver impactful SaaS products powered by data and AI. We are looking for a pioneer who is excited to pick up new exciting technologies, experiment, learn, and chart unknown territories. What Youll Do Develop code, infrastructure, data processing and work on ML algorithms. Work with engineers to deliver LLM enabled capabilities. Operate a service and be accountable to its business impact. Disseminate the knowledge and shore up the AI application development expertise within the team & the company. Role Requirements Bachelors degree in Computer Science or a related technical field. Minimum 8 + years of experience. Experience programming in Python (>4 years) mandatory. Java/Go optional. Minimum 5+ years in ML Mandatory Experience developing web applications development. Excellent problem solving and communication skills. Experience developing data applications using machine learning algorithms, including LLM. Experience with machine learning, optimization algorithms, deep-learning techniques, and/or LLMs. Ability to be self sufficient given the proper guidance. Self-motivated and driven personality. Fully proficient in English written and spoken language. Passion for teams: building, working in them, encouraging team members to reach their potential. It s great but not required to have: Advanced computer science / data science degree. Experience working in Agile methodologies.

Internal Public Job Description Associate Director, Tata Digital Pvt. Ltd. Tata Digital is a future-ready company focused on building consumer-centric, highengagement digital products. Our flagship offering, Tata Neu, is a super-app that integrates various consumer services, including groceries, fashion, electronics, travel, financial services, and more, into a seamless experience. As a wholly owned subsidiary of Tata Sons Private Limited, we are committed to driving digital transformation at scale. Role Details Role Title: Associate Director Function: Data Science Location: Gurgaon or Bangalore Experience: Y About the Role: We are looking for an experienced Data Scientist to join our team and help drive innovation in recommendation, ad spends, fraud detection and user ranking/ queue management systems. You will be responsible for designing end to end ML systems from model development, optimization to deployment that enhances our user experience and business outcomes at scale. If you have a strong background in developing scalable ML solutions like ranking engine, SMS parsing engine etc. and you are always curious to learn the latest and newest tech / algorithm, we are looking for you. Key Responsibilities: Work with data scientists to design end to end data systems like call centre queuing logic, recommendation engine for cross-sell. The system is not limited to building data science model but end to end integration, testing and deployment including A/B testing and model monitoring Conduct and establish best practices on code reviews to ensure good quality codes are released to production Set up systems and processes to increase productivity of data scientists by automating baseline model creation and testing. Optimize infrastructure and data processing for high-scale real-time and batch ML systems. Drive R&D experiments for example, setting up graph systems. Stay up to date with advancements in ML, AI, and big data technologies and apply them to business problems. Minimum Qualifications: 7+ years of experience in Data Science / Machine Learning Engineering, with a focus on ad spend optimization, recommendation systems or large scale fraud systems. Internal Public Strong programming skills in Python, Pyspark, Scala, or Java with experience in ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Experience with big data technologies (e.g., Spark, Hadoop, Kafka) and distributed computing. Proficiency in SQL and NoSQL databases for large-scale data processing. Hands-on experience in deploying ML models in production at scale (MLOps, CI/CD for ML). Strong understanding of ranking models, deep learning, NLP, and reinforcement learning. Preferred Qualifications: Familiarity with vector search, embeddings, and retrieval-based models. Strong problem-solving skills and ability to work in a fast-paced environment Experience with cloud platforms like AWS, GCP, or Azure. If you re passionate about building intelligent, scalable, and high-impact ML solutions, apply now! Learn more about Tata Digital: Tata Neu Tata Digital Newsroom LinkedIn YouTube

Job Brief: We are looking for a highly motivated Data Scientist with strong experience in machine learning and deep learning . The role involves building scalable predictive models and working on business-critical analytics solutions across industries such as insurance, banking, and healthcare. Requirements: 3+ years of hands-on experience in ML model development. Strong in Python , Pandas , NumPy , Scikit-learn , and XGBoost Knowledge of time series modeling , model validation techniques , and feature selections Experience with deep learning frameworks: TensorFlow , Keras , or PyTorch . Strong analytical thinking and problem-solving skills.