2368 Data Scientist Jobs - Page 27

Role Overview We are seeking a highly skilled Senior Data Scientist with a minimum of 5 years of experience to join our Customer Experience Analytics team. The successful candidate will play a pivotal role in building products that enable leadership to extract insights efficiently, fostering data-driven decision-making processes. If you are passionate about leveraging NLP, ML algorithms, and feature engineering to drive business impact and enhance the customer experience, we invite you to join our team at FedEx. What youll be working on Collaborate cross-functionally with various teams to analyze user behavior and usage patterns, extracting actionable insights to enhance customer experience. Utilize advanced statistical techniques, NLP, and ML algorithms to identify opportunities for business problem-solving, leveraging scientific methodologies. Develop and refine predictive models based on historical user data, with a focus on feature engineering and improving machine learning algorithms for production. Design and execute controlled experiments to evaluate the potential impact of new approaches, contributing to data-driven decision-making processes. Provide detailed analysis and reporting on current trends and performance metrics, using NLP techniques for text data and identifying opportunities for improvement. Translate complex data findings into actionable insights for leadership, leveraging NLP outputs and ML algorithms for advanced analytics. Take ownership of end-to-end solution delivery, from problem statement formulation to product implementation, collaborating with other teams as needed. Contribute to the development of solutions and products supporting FedEx's GenAI services, specifically tailored for the Customer Experience vertical. What we are looking for Bachelors degree in computer science, Statistics, Mathematics, or a related field. Advanced degree preferred. Minimum of 5 years of experience in data science, with a focus on customer analytics, NLP, and machine learning. Proficiency in statistical analysis, predictive modeling, NLP techniques, and feature engineering. Any experience with development of GenAI solutions is preferred. Strong programming skills in languages such as Python, with experience in data manipulation and analysis libraries. Demonstrated experience in designing and executing controlled experiments to drive business insights. Excellent communication skills, with the ability to translate complex technical concepts into actionable insights for non-technical stakeholders. Proven track record of delivering end-to-end solutions in a fast-paced, dynamic environment. Experience working with large-scale datasets and distributed computing frameworks is a plus.

About Straive:- Straive is a market leading Content and Data Technology company providing data services, subject matter expertise, & technology solutions to multiple domains. Data Analytics & Al Solutions, Data Al Powered Operations and Education & Learning form the core pillars of the companys long-term vision. The company is a specialized solutions provider to business information providers in finance, insurance, legal, real estate, life sciences and logistics. Straive continues to be the leading content services provider to research and education publishers. Data Analytics & Al Services : Our Data Solutions business has become critical to our client's success. We use technology and Al with human experts-in loop to create data assets that our clients use to power their data products and their end customers' workflows. As our clients expect us to become their future-fit Analytics and Al partner, they look to us for help in building data analytics and Al enterprise capabilities for them. With a client-base scoping 30 countries worldwide, Straives multi-geographical resource pool is strategically located in eight countries - India, Philippines, USA, Nicaragua, Vietnam, United Kingdom, and the company headquarters in Singapore. Website: https://www.straive.com/ Designation: Data Scientist-Customer Analytics Job Location: Remote Qualifications: BE/ BTech/ ME/ MTech/ MSc Statistics Years of Experience: 5 to 8 years Role and Responsibilities: Marketing & Customer Analytics: Provide processes to measure, manage, and analyze marketing activities. Offer actionable insights and recommendations to optimize marketing ROI and performance efficiency. Use customer behavior data for market segmentation, predictive analytics, direct marketing, site selection, and customer relationship management. Data Science and Analysis: Apply scientific methods, processes, and systems to extract knowledge or insights from various forms of data (structured and unstructured). Employ multivariate statistical techniques such as regression, classification, and segmentation to analyze data. Machine Learning: Design, build, and deploy machine learning models focused on customer behavior, segmentation, churn prediction, recommendation systems, and lifetime value estimation. Collaborate with cross-functional teams (marketing, product, engineering) to identify business challenges and provide data-driven solutions. leverage machine learning techniques to extract insights from customer data, develop predictive models, and drive data-informed decision-making to improve customer engagement, retention, and lifetime value. Required Skills and Expertise: Proficiency in programming languages commonly used in data science such as SQL, Python R and Visualization tools like Power BI, Tableau etc. In-depth knowledge of multivariate statistical techniques, including regression, classification, and segmentation. Ability to analyze and interpret complex data sets. Expertise in handling structured and unstructured data. Skilled in SQL querying with data extraction, transformation, and loading (ETL) processes. Understanding of marketing metrics and the ability to analyze marketing activities. Experience in Consumer Analytics, Customer Analytics or Marketing Analytics working in CPG, FMCG industry would be an added advantage. Experience in providing insights for optimizing marketing strategies and operations. Ability to work effectively within a team, particularly in interdisciplinary settings. Experience in managing projects and delivering results within specified timelines. Strong analytical and problem-solving skills to address complex business and technical challenges. “Straive is an Equal Opportunity Employer. Our policy is clear: there shall be no discrimination based on age, disability, sex, race, religion or belief, gender reassignment, marriage/civil partnership, pregnancy/maternity, or sexual orientation. We are an inclusive organization and actively promote equality of opportunity for all with the right mix of talent, skills and potential. We welcome all applications from a wide range of candidates. Selection for roles will be based on individual merit alone.

You will work in agile teams through good collaboration with our colleagues in Technology development all around the world. You will lead the team and be responsible for understanding customer usage and performance of our products as well as understand needs of our internal data consumers for providing solutions throughout entire product life cycle, from idea investigation and concept evaluation to industrialization and to aftermarket and maintenance. You will extract insights, make meaningful interpretations, recommendations and eventually predictions from the Data available from various sources to support our endeavour in moving towards Data Driven Powertrain Development. You will work on all aspects of Data by combining techniques in Data Engineering, Data Analytics and Data Science. You will have the opportunity to analyse and solve real world problems with state-of-the-art techniques like Advanced Analytics, Natural Language Processing (NLP), Machine Learning, and Generative AI on the base of strong statistical knowledge. You get the opportunity to follow your Data Driven Models from script to test cell to verification in a truck and eventually to being used by our end customers. We have an agile way of working, where each team plan their activities in sprints and deliver solutions together as a team. We strive to have an open and honest environment within the teams, where it is easy to ask each other for support when needed. The tasks can be either part of a larger project or short tasks to improve products currently in production. You will get the opportunity to interact with highly committed colleagues from different cultures. You will keep strong communication with project managers, software developers, calibration, simulation and test engineers. We hope you will learn as much from us as we will from you. Who are you We believe that to be successful in this position, you are a team player, have strong experience in Statistics, Data analytics, machine learning, generative AI and a will to deliver with effective communication techniques (Data story telling). You have a Passion and have demonstrated success in Leading a Team competent in solving real world problems with Data. You must have a proven experience in Data modelling - Regression, Clustering, Neural Networks, Time series etc. and should have used them in solving real-life challenges (prediction, automation, real time optimization etc). You have a strong competence in Presenting Insights gained from Data Analytics through Visualization tools like Power BI. You have a willingness to learn and take more responsibility with can-do attitude. You will be greatly appreciated in this role if you have demonstrated Predictive analysis and decision-making using Data. If you are a Master s Degree holder in Mechanical / Automobile / Electronics / Mechatronics Engineering with fantastic analytical skills, have gained a strong domain understanding in Powertrain Engineering (or Automotive Industry) with proven skills in handling and analysing large set of data to make meaningful interpretations and if you believe that you can work smoothly with Python ( including libraries like NumPy, SciPy, Pandas, TensorFlow) , R, SQL, Git, Azure, Hadoop then you can be a good fit into this role. You also have strong experience in applying machine learning methods like supervised, unsupervised and reinforcement learning. Experience of working with relational databases, data privacy and understanding of IOT based instrumentation design with additional data logging to build or validate models is a big plus. A passion for turning data into knowledge with great visualizations and an experience of working with plant/ component models, and integration of these models into SIL/MIL/HIL evaluations would be an icing on the cake

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.

---As a Data Scientist, the role involves addressing complex data challenges, developing predictive models, and extracting valuable insights to guide strategic decisions.With proven expertise in AI, statistical analysis, and big data technologies, the focus will be on enhancing the decision-making process.The responsibilities include leading projects from conception to deployment, mentoring junior data scientists, and collaborating with cross-functional teams to drive innovation and improve data-driven decision-making processes.### What you ll bring us:A minimum of two years of full-time work experience as a data scientist.- A postgraduate degree in computer science, statistics, or a related subject.- Solid and demonstrable knowledge of machine learning techniques and algorithms.- Familiarity with NoSQL databases, enterprise search technologies, and recommendation systems.- Strong communication skills and the ability to work collaboratively across teams.- Python - pandas, numpy, statistics, probabilities.- ML models - regression, decision trees, classification models.- LCMs - Llama 3, mistral is a plus.- Need to have deep understanding of how to use triggers, fare model and train them and enhance.### Benefits that you will be getting:---- Pay for performance (every month).- Rewards and recognition.- Employee wellbeing.- EPF & insurance benefits.- Promotions and international travel.- Relaxed environment & work-life balance. ","

About Gartner IT: Join a world-class team of skilled engineers who build creative digital solutions to support our colleagues and clients. We make a broad organizational impact by delivering cutting-edge technology solutions that power Gartner. Gartner IT values its culture of nonstop innovation, an outcome-driven approach to success, and the notion that great ideas can come from anyone on the team. About the role: Were seeking an experienced Data Scientist to join our growing Enterprise Data Science & AI team. In this role, you will serve as a technical expert in developing and implementing advanced machine learning/AI models and analytical solutions to improve Gartners data quality and drive business value. Youll collaborate with cross-functional teams to identify data science and AI opportunities, solve complex business problems, and drive data-driven decision making across the organization. What you ll do: Design, develop and deploy AI solutions to elevate the quality and depth of Gartners data assets, ensuring high accuracy, reliability and completeness Lead the development of various predictive and optimization use cases. Follow best practices for data science methodologies, including coding standards, model validation and model monitoring Partner with business users to understand business requirements and translate data science solutions into business action items Collaborate with IT teams to identify and design data pipelines and infrastructure that supports data science model use cases Define success metrics and KPIs for data science projects and initiatives What you ll need: Bachelors degree or higher in Data Science, Computer Science, Statistics, Information Management, or related quantitative field 3-5 years of experience in data science, with a proven track record of successfully delivering data science and AI projects in business environments Strong programming skills in Python and experience with data science libraries (sklearn, pandas, NumPy, PyTorch/TensorFlow) Strong experience with large language models (LLMs) and generative AI applications Proficiency in SQL and experience with cloud-based data platforms (AWS or Azure) Excellent communication skills with the ability to translate complex technical concepts for non-technical audiences Knowledge of software development practices (version control, CI/CD, code review) Experience with MLOps tools and best practices for model deployment and monitoring Who you are: Effective time management skills and ability to meet deadlines Excellent communications skills interacting with technical and business audience s Excellent organization, multitasking, and prioritization skills Must possess a willingness and aptitude to embrace new technologies/ideas and master concepts rapidly. Intellectual curiosity, passion for technology and keeping up with new trends Delivering project work on-time within budget with high quality

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

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

Job Title: Technical Team LeadLocation: TechM Noida NSEZYears of Experience: 7 10 YearsJob SummaryWe are seeking a highly skilled Technical Team Lead with extensive experience in AI, machine learning, and data science. The ideal candidate will have a strong background in Azure Architecting and Address Management Domain, with a proven ability to design, develop, and deploy machine learning models and AI algorithms to solve complex business problems. This role requires collaboration with cross functional teams to translate business requirements into technical solutions.Key ResponsibilitiesDesign, develop, and deploy machine learning models and AI algorithms to address complex business challenges.Analyze large, diverse datasets to extract meaningful patterns and insights that inform business strategies.Collaborate closely with cross functional teams including engineering, product management, and business stakeholders to translate requirements into technical solutions.Conduct exploratory data analysis, feature engineering, model validation, and performance tuning.Implement scalable data pipelines and integrate AI/ML models into production environments.Stay abreast of the latest AI/ML research, tools, and best practices to continuously enhance methodologies and innovation.Communicate findings and technical concepts effectively to both technical and non technical audiences.Support the development of AI governance, ethical frameworks, and compliance standards within the organization.Work closely on Address Management Data, developing multi pass logic, and analyzing address data for machine learning opportunities to refine and gain confidence in address matching.Mandatory SkillsProven experience (7 10 years) in AI, machine learning, and data science roles.Proficiency in programming languages such as Python, R, or Java, and familiarity with ML frameworks like TensorFlow, Decision Trees, Random Forest.Strong expertise in statistics, prescriptive modeling, and natural language processing (NLP).Experience deploying AI/ML models in production environments.Knowledge of AI ethics, fairness, and bias mitigation techniques.Familiarity with DevOps, MLOps practices, and MLOps tools.Experience with big data technologies (e.g., Apache Hadoop, PySpark) and cloud platforms (Azure IaaS).Ability to work with structured and unstructured data, and knowledge of data engineering concepts.Excellent problem solving skills, creativity, and a data driven mindset.Strong communication and collaboration skills.Knowledge of Address Management Domain.Preferred SkillsExperience in Azure Architecting.Familiarity with GIS Domain.QualificationsMasters degree in Computer Science, Data Science, or a related field is preferred.Proven track record of leading technical teams and projects.Strong analytical and critical thinking skills.

Position Summary... What youll do... About Team The Catalog Data Science Team at Walmart Global Tech is focused on using the latest research in generative AI (GenAI), artificial intelligence (AI), machine learning (ML), statistics, deep learning, computer vision and optimization to implement solutions that ensure Walmart s product catalog is accurate, complete, and optimized for customer experience. Our team tackles complex data science and ML engineering challenges related to product classification, attribute extraction, trust & safety, and catalog optimization, empowering next-generation retail use cases. The Data Science and ML Engineering community at Walmart Global Tech is active in most of the Hack events, utilizing the petabytes of data at our disposal, to build some of the coolest ideas. All the work we do at Walmart Global Tech will eventually benefit our operations & our associates, helping Customers Save Money to Live Better. What youll do: As a Senior Data Scientist - ML Engineer, you ll have the opportunity to: Drive research initiatives and proof-of-concepts that push the state of the art in generative AI and large-scale machine learning. Design and implement high-throughput, low-latency AI/ML pipelines and microservices that operate at global scale. Oversee data ingestion, model training, evaluation, deployment and monitoring-ensuring performance, quality and reliability. Customize and optimize LLMs for specific business use cases, balancing accuracy, latency and cost. Prototype novel generative AI solutions, integrate advancements into production, and collaborate with research partners. Champion best practices in data quality, lineage, governance and cost optimization across ML pipelines. Mentor a team of ML engineers, establish coding standards, conduct design reviews, and foster a culture of continuous improvement. Present your team s work at top-tier AI/ML conferences, publish scientific papers, and cultivate partnerships with universities and research labs. What youll bring PhD in Computer Science, Statistics, Applied Mathematics or related field with 3+ years experience in ML engineering-or Master s with 6+ years or Bachelor s with 8+ years. Proven track record of leading and scaling AI/ML products in production environments. Deep expertise in generative AI, large-scale model deployment, and fine-tuning of transformer-based architectures. Strong programming skills in Python, or equivalent, and experience with big data frameworks (Spark, Hadoop) and ML platforms (TensorFlow, PyTorch). Demonstrated history of scientific publications or patents in AI/ML. Excellent communication skills, a growth mindset, and the ability to drive cross-functional collaboration. 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

Job Title: Associate Data ScientistJob Location: Hinjewadi Phase 1, Pune (Remote)Shift: 11:00AM to 8:00PMQualification: BTech, BCA, MCA, BEJob DescriptionFuturism Tech is looking for a passionate and analytical Associate Data Scientist to join our team. This is an excellent opportunity for someone with early career experience to build a strong foundation in data science, analytics, and machine learning while contributing to real-world business problems.Key Responsibilities Work on data collection, cleaning, and preprocessing tasks to prepare datasets for analysis. Assist in developing and validating statistical models and machine learning algorithms. Conduct exploratory data analysis and generate actionable insights. Support data visualization and reporting using tools like Power BI, Tableau, or Matplotlib. Collaborate with cross-functional teams including engineering, product, and business to deliver data-driven solutions. Document code, methodologies, and analysis results clearly.Required Skills 0.5-1 year of hands-on experience in data science, analytics, or related internship/work. Proficiency in Python or R, with experience using libraries such as Pandas, NumPy, Scikit-learn, or similar. Basic understanding of machine learning concepts (regression, classification, clustering). Familiarity with SQL and ability to work with relational databases. Knowledge of data visualization tools (e.g., Matplotlib, Seaborn, or Power BI/Tableau). Strong analytical, problem-solving, and communication skills.Preferred Qualifications Bachelor s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Exposure to cloud platforms (e.g., AWS, Azure, or GCP) is a plus. Understanding of version control systems like Git is a bonus.

Position Summary... Enterprise Business Services (EBS) is seeking a highly skilled and experienced Staff Data Scientist at IDC for the Corporate Affairs Technology team. As a specialist in GenAI and Agentic AI, you will lead the development and deployment of AI/ML driven products; playing a tech lead role in a team of Data scientists and ML engineers and collaborate with product leaders to drive innovation. What youll do... Job Title: Staff Data Scientist Career Level: G Location: Bangalore Job Summary Walmart is a multi-national people led tech powered omnichannel retailer with over 2.2M associates. Enterprise Business Services (EBS) is seeking a highly skilled and experienced Staff Data Scientist at IDC for the Corporate Affairs Technology team. As a specialist in GenAI and Agentic AI, you will lead the development and deployment of AI/ML driven products; playing a tech lead role in a team of Data scientists and ML engineers and collaborate with product leaders to drive innovation. About Team: The Enterprise Business Services supports the successful deployment and adoption of new People technology, Finance and Risk Technologies across the enterprise. As a Fortune #1 company, our work impacts millions of associates globally. We strive to continuously improve people technology and products to help managers and associates so they can focus on what matters most - supporting our customers and members. Walmart Global Tech s Enterprise Business Services, which is invested in building a compact, robust organization that includes technology solutions for Corporate Affairs, Transaction & Risk Technology, Finance, People, and the Associate Digital Experience. What you will do: We are looking for a Staff Data Scientist who has the passion to develop AI driven intelligent products for the Corporate Affairs domain, with the ability to influence partner teams, data scientists, ML engineers, product managers and software developers. A successful candidate will have an established hands-on data science, AI, ML experience in driving technical products, an entrepreneurial background, and a passion for great customer-centric products. You would : Design, architect, build AI/ML models and systems, and deploy, operate and optimize the solutions Lead development of end-to-end system architecture for GenAI/AI/ML and data intensive applications Mentor a team of data scientists to develop their skills and business understanding Develop and deploy production-grade real-time/batch machine learning services Work with product managers to design user journeys, feedback loop and analyze user telemetry Identify or propose AI/ML use-cases to business teams to improve business processes and develop quick MVPs/ POCs to help stakeholders make better decisions Uphold and enforce rigorous standards, governance, and best practices, ensuring strict compliance with model and data governance standards. Adhere strictly to Walmart s policies, procedures, mission, values, standards of ethics, and integrity . Innovation and Research: Stay at the forefront of technological advancements, conducting research to identify emerging tools and methodologies. Collaborative Communication: Communicate complex technical concepts effectively to both technical and non-technical stakeholders, promoting a culture of open communication and collaboration. What youll bring: You have 10+ years experience in design, development, deployment, and maintenance of highly scalable, robust, and user-centric GenAI /AI /ML products and applications You have a bachelors/masters degree in computer science, information technology, engineering, statistics, economics, mathematics, or related area You have excellent industry experience in production-grade AI/ML system development with major technology companies or AI-native start-ups. You can effectively mentor and coach junior data scientists You can communicate internally and externally through publications, presentations, and other mediums on research progress, major breakthroughs, and product innovation. You have extensive experience with statistical analysis and programming languages e.g. Python and mainstream machine learning frameworks, e.g. TensorFlow or PyTorch. You have experience in building deep learning applications, neural network deployment optimizations and architecting ML systems You have experience in developing chatbots/ NLP/ recommendation-engine systems You have experience at writing high-performing production-quality code in Python You have experience in working with end-to-end CI/CD pipelines You are thorough, meticulous and detail oriented You believe in the importance of establishing work standards and leveraging automations You have a history of collaboration, openness, honesty, timely decision making, and clear communication in both verbal and written forms You embrace lifelong learning - always learning new technologies and techniques. You are also engaged in the open-source communities to both find answers and help others About Global Tech To others, innovation looks like an app, service or some code, but Walmart has always been about people. People are why we innovate, and people power our innovations. Being human led is our true disruption. Ways of Working Flexible, hybrid work . 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...

Position Summary... What youll do... About Team The Catalog Data Science Team at Walmart Global Tech is focused on using the latest research in generative AI (GenAI), artificial intelligence (AI), machine learning (ML), statistics, deep learning, computer vision and optimization to implement solutions that ensure Walmart s product catalog is accurate, complete, and optimized for customer experience. Our team tackles complex data science and ML engineering challenges related to product classification, attribute extraction, trust & safety, and catalog optimization, empowering next-generation retail use cases. The Data Science and ML Engineering community at Walmart Global Tech is active in most of the Hack events, utilizing the petabytes of data at our disposal, to build some of the coolest ideas. All the work we do at Walmart Global Tech will eventually benefit our operations & our associates, helping Customers Save Money to Live Better. What youll do: We are looking for a Staff Machine Learning Engineer who can help build large scale AI/ML/Optimization products. Expected qualities include ability to build, deploy, maintain and troubleshoot large scale systems. As a Staff ML Engineer, you ll have the opportunity to Drive research initiatives and proof-of-concepts that push the state of the art in generative AI and large-scale machine learning. Design and implement high-throughput, low-latency AI/ML pipelines and microservices that operate at global scale. Oversee data ingestion, model training, evaluation, deployment and monitoring-ensuring performance, quality and reliability. Customize and optimize LLMs for specific business use cases, balancing accuracy, latency and cost. Prototype novel generative AI solutions, integrate advancements into production, and collaborate with research partners. Champion best practices in data quality, lineage, governance and cost optimization across ML pipelines. Mentor a team of ML engineers, establish coding standards, conduct design reviews, and foster a culture of continuous improvement. Present your team s work at top-tier AI/ML conferences, publish scientific papers, and cultivate partnerships with universities and research labs. What youll bring: PhD in Computer Science, Statistics, Applied Mathematics or related field with 5+ years experience in ML engineering-or Master s with 8+ years or Bachelor s with 10+ years. Proven track record of leading and scaling AI/ML products in production environments. Deep expertise in generative AI, large-scale model deployment, and fine-tuning of transformer-based architectures. Strong programming skills in Python, or equivalent, and experience with big data frameworks (Spark, Hadoop) and ML platforms (TensorFlow, PyTorch). Demonstrated history of scientific publications or patents in AI/ML. Excellent communication skills, a growth mindset, and the ability to drive cross-functional collaboration. 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 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

Position Summary... What youll do... About Team The Catalog Data Science Team at Walmart Global Tech is focused on using the latest research in generative AI (GenAI), artificial intelligence (AI), machine learning (ML), statistics, deep learning, computer vision and optimization to implement solutions that ensure Walmart s product catalog is accurate, complete, and optimized for customer experience. Our team tackles complex data science and ML engineering challenges related to product classification, attribute extraction, trust & safety, and catalog optimization, empowering next-generation retail use cases. The Data Science and ML Engineering community at Walmart Global Tech is active in most of the Hack events, utilizing the petabytes of data at our disposal, to build some of the coolest ideas. All the work we do at Walmart Global Tech will eventually benefit our operations & our associates, helping Customers Save Money to Live Better. What youll do: As a Senior Data Scientist - ML Engineer, you ll have the opportunity to: Drive research initiatives and proof-of-concepts that push the state of the art in generative AI and large-scale machine learning. Design and implement high-throughput, low-latency AI/ML pipelines and microservices that operate at global scale. Oversee data ingestion, model training, evaluation, deployment and monitoring-ensuring performance, quality and reliability. Customize and optimize LLMs for specific business use cases, balancing accuracy, latency and cost. Prototype novel generative AI solutions, integrate advancements into production, and collaborate with research partners. Champion best practices in data quality, lineage, governance and cost optimization across ML pipelines. Mentor a team of ML engineers, establish coding standards, conduct design reviews, and foster a culture of continuous improvement. Present your team s work at top-tier AI/ML conferences, publish scientific papers, and cultivate partnerships with universities and research labs. What youll bring PhD in Computer Science, Statistics, Applied Mathematics or related field with 3+ years experience in ML engineering-or Master s with 6+ years or Bachelor s with 8+ years. Proven track record of leading and scaling AI/ML products in production environments. Deep expertise in generative AI, large-scale model deployment, and fine-tuning of transformer-based architectures. Strong programming skills in Python, or equivalent, and experience with big data frameworks (Spark, Hadoop) and ML platforms (TensorFlow, PyTorch). Demonstrated history of scientific publications or patents in AI/ML. Excellent communication skills, a growth mindset, and the ability to drive cross-functional collaboration. 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

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

Position Summary... What youll do... About Team The Catalog Data Science Team at Walmart Global Tech is focused on using the latest research in generative AI (GenAI), artificial intelligence (AI), machine learning (ML), statistics, deep learning, computer vision and optimization to implement solutions that ensure Walmart s product catalog is accurate, complete, and optimized for customer experience. Our team tackles complex data science and ML engineering challenges related to product classification, attribute extraction, trust & safety, and catalog optimization, empowering next-generation retail use cases. The Data Science and ML Engineering community at Walmart Global Tech is active in most of the Hack events, utilizing the petabytes of data at our disposal, to build some of the coolest ideas. All the work we do at Walmart Global Tech will eventually benefit our operations & our associates, helping Customers Save Money to Live Better. What youll do: As a Senior Data Scientist for Walmart Global Tech, you ll have the opportunity to Design, develop, and deploy AI/ML, NLP, LLM models into production environments with a focus on reliability and scalability Integrate data science solutions into current business processes. Develop and recommend process standards and best practices in Machine Learning as applicable to the retail industry. Spearhead collaborations with other senior team members and stakeholders, leveraging your data science expertise to drive strategic decision-making and optimize business operations Promote and support company policies, procedures, mission, values, and standards of ethics and integrity. What youll bring: Qualifications PhD with >3 years of relevant experience / 4-year bachelor s degree with > 8 years of experience / Master s degree with > 6 years of experience. Educational qualifications should be preferably in Computer Science or a strongly quantitative discipline. Demonstrated history of strong hands-on experience in AI/ML modelling Prior Experience in building Vision-based models Proven records of scientific publications or intellectual property generation Prior Experience in programming skills across data science, statistical analysis, big data and ML stack Strong communication skills with inclination to high ownership and commitment Proven track record of delivering high-impact AI/ML solutions to Production Mandatory Skills: Machine Learning, NLP, Computer Vision , Python, R Additional Qualifications: Good to have experience in areas such as Graph Neural Networks, LLM Optimization 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

Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees passion for travel and ensure a rewarding career journey. We re building a more open world. Join us. Actuarial Data Scientist III We are seeking an Actuary with a strong passion for risk management, extensive expertise in insurance pricing, and a deep understanding of FinTech products to join our EG InsurTech team. In this role, you will be a pivotal contributor in supporting the growth and development of FinTech and insurance products. Your role will be highly analytical, with a primary focus on leveraging data to enhance our product offerings. You will have the opportunity to influence Expedias financial outcomes and collaborate with senior leadership and external partners. What youll do: Play a key role in data-driven product development for FinTech products like cancelation for any reason Apply actuarial principles to evaluate and enhance insurance product offerings and pricing strategies Conduct valuation of insurance products and assess associated liabilities Manage and optimize our reserving fund, collaborating as needed with external actuaries from partner insurance organizations Provide actuarial insights and guidance throughout the product life cycle to ensure competitive pricing and efficient claims management Design end-to-end actuarial processes to support the development and pricing of scalable InsurTech products with a focus on FinTech Ensure compliance with relevant legal and accounting requirements, which may encompass both US and international standards Analyze data and build predictive models using tools such as Python and R to support product development Collaborate effectively with the broader product team within a coding environment while adhering to model development and maintenance best practices Who you are: A bachelors degree in a STEM field or equivalent experience A strong understanding of actuarial principles with an Associate or Fellow Actuary designation (FIA, FCAS, FSA, AIA, ACAS, ASA) Minimum of 4 years of experience in actuarial or analytical roles Proficiency in analyzing traditional insurance and non-traditional data sets using SQL Experience in conducting analyses in Excel and programming languages such as R and Python Experience in building and deploying statistical machine-learning models, such as linear regression, logistic regression, GLM, GAM, etc Proven experience in effectively communicating and collaborating with cross-functional teams Preferred: An advanced degree in actuarial science, mathematics, statistics, or related fields, along with 5+ years of directly relevant actuarial experience Preferred: A strong background in the insurance industry, ideally with experience in FinTech insurance products Preferred: Proficiency in common machine learning programming languages such as Python, R, and Spark, and familiarity with various machine learning algorithms Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request . We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Groups family of brands includes: Brand Expedia , Hotels.com , Expedia Partner Solutions, Vrbo , trivago , Orbitz , Travelocity , Hotwire , Wotif , ebookers , CheapTickets , Expedia Group Media Solutions, Expedia Local Expert , CarRentals.com , and Expedia Cruises . 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs . Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

Role: Senior Staff Data Scientist - AI Architect Experience Required: 8-12 years Location: Bangalore | Karnataka Way of Working: Hybrid and Bangalore About Swiggy and the Team Swiggy is Indias leading on-demand delivery platform, leveraging data science and cutting-edge AI to redefine convenience for millions of customers. The AI team works at the intersection of machine learning, advanced architecture, and applied research to shape AI-first systems that directly impact customer experience and business growth. The team values cross-functional collaboration, open sharing of ideas, and innovation to roll out AI solutions at scale. Bring your expertise in building scalable AI architectures and leading next-generation Generative AI and Agentic AI initiatives, and join a motivated team making a tangible business impact. About the Role As an AI Architect, you will lead the design and implementation of cutting-edge AI architectures, focusing on Large Language Models (LLMs), Generative AI applications, and Agentic AI platforms. This role demands system design expertise for AI-native products, hands-on experience with real-world GenAI deployment, and a clear understanding of trade-offs while architecting scalable solutions for production environments. As an AI Architect, you will be a pivotal leader in designing and implementing the next generation of AI-first systems at Swiggy. You will act as both a hands-on engineer and a strategic thinker working with multi-agent systems, defining operational workflows, and ensuring the alignment of AI capabilities with Swiggys business vision and customer needs. This role demands a unique blend of deep technical expertise in advanced AI concepts (especially Large Language Models, Generative AI, and Agentic AI) and strong architectural acumen to build scalable, high-performance, and cost-effective AI solutions. You will be instrumental in shaping our AI strategy, driving innovation, and ensuring the successful delivery of impactful AI products that directly influence customer experience and business metrics. We foster an environment of open sharing of ideas and encourage contributions to both internal and external forums. What qualities are we looking for? Technical Expertise: Overall 8-10 years of experience in AI and ML engineering field with 2-3 years of hands-on experience with Large Language Models (LLMs), Generative AI applications, and Agentic AI architectures (e.g., multi-agent workflows, copilots, autonomous agents). Proven track record of architecting AI-first systems (e.g., conversational agents, copilots). Strong system design skills with experience in designing scalable, low-latency AI-powered platforms. Familiarity with orchestration tools/technologies like LangGraph, CrewAI, AutoGen, and distributed multi-agent system architectures. Deep understanding of the trade-offs between open-source vs proprietary AI models and related tools. Experience building or integrating components such as Ontology Layers, Graph Knowledge Bases, and feedback loops into AI systems. Strategic Thinking: Expertise in evaluating build-vs-buy options and supporting recommendations with logical explanations. Ability to identify scalability, latency, and inference-cost bottlenecks and devise architecture solutions. Updated knowledge and insights on the latest tools, frameworks, and trends in AI and multi-agent ecosystems. Product Knowledge: Strong curiosity and empathy for end-user personas. Demonstrates end-to-end product thinking beyond model performance. Ability to connect AI capabilities with business KPIs while ensuring ROI on AI investments. Experience working closely with Product Managers to identify workflows and bottlenecks, collaboratively defining roadmaps. Communication and Leadership: Demonstrates the ability to act as a thought partner to product managers and stakeholders. Exceptional written and verbal communication skills to align cross-functional teams on objectives, deliverables, and methodologies. Thrives in a fast-paced environment with a "Founder Mentality" to move fast, break barriers, and deliver results. Entrepreneurial stint or experience with startups building AI products R&D experience with language models What will you get to do here? Architect AI-first systems with a focus on multi-agent systems, LLMs, Generative AI, and Agentic AI workflows. Define and build scalable and efficient AI architectures with low latency at production scale. Design orchestration mechanisms like Ontology Layers and incorporate feedback loops for enriching system capabilities. Stay updated on emerging AI frameworks, tools, and technologies, applying learnings to both technological and business problem statements. Evaluate and benchmark open-source and proprietary AI frameworks based on cost, scalability, and suitability. Collaborate with engineering, product, data scientists, analysts and business stakeholders to define workflows, address bottlenecks, and create product roadmaps. Provide recommendations on AI investments with a critical eye on ROI and business impact. Present your work in internal and external forums, thought-leadership events, and research publications. Why Join Swiggy? Opportunity to work on impactful and challenging projects in the AI domain. Chance to architect innovative solutions at scale, directly impacting millions of users. Collaborative work culture fostering learning, growth, and innovation. Ready to Shape the Future with AI? Apply now! Visit our tech blogs to learn more about some of the challenges we deal with: The Swiggy Delivery Challenge Part One How AI at Swiggy is Transforming Convenience Decoding Food Intelligence at Swiggy We believe in promoting equal opportunities and diversity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, or disability.

Responsibilities Identify and define complex business problems with stakeholders. Apply ML solutions to improve demand and supply systems. Build mathematical models for real-world business processes. Prioritize and solve high-impact issues to cut costs or grow revenue. Publish research and represent the company at industry conferences. Collaborate with engineering teams to deploy scalable ML models. Continuously evaluate model performance and retrain as needed for accuracy. Requirements Strong math foundation: linear algebra, stats, calculus, optimization, etc. Hands-on with supervised ML techniques like SVM, decision trees, neural networks. Solid SQL/NoSQL and database system understanding. Experience with big data tools (e.g., Spark, Hadoop) is a plus. Perks and Benefits Medical Insurance Internet Reimbursement Flexible working hours

About the Role We are seeking a Generative AI Engineer with 69 years of experience who can independently explore, prototype, and present the art of the possible using LLMs, agentic frameworks, and emerging Gen AI techniques. This role combines deep technical hands-on development with non-technical influence and presentation skills. You will contribute to key Gen AI innovation initiatives, help define new protocols (like MCP and A2A) and deliver fully functional prototypes that push the boundaries of enterprise AI — not just in Jupyter notebooks, but as real applications ready for production exploration. Key Responsibilities LLM Applications & Agentic Frameworks Design and implement end-to-end LLM applications using OpenAI, Claude, Mistral, Gemini, or LLaMA on AWS, Databricks, Azure or GCP. Build intelligent, autonomous agents using LangGraph, AutoGen, LlamaIndex, Crew.ai, or custom frameworks. Develop Multi Model, Multi Agent, Retrieval-Augmented Generation (RAG) applications with secure context embedding and tracing with reports. Rapidly explore and showcase the art of the possible through functional, demonstrable POCs Advanced AI Experimentation Fine-tune LLMs and Small Language Models (SLMs) for domain-specific use. Create and leverage synthetic datasets to simulate edge cases and scale training. Evaluate agents using custom agent evaluation frameworks (success rates, latency, reliability) Evaluate emerging agent communication standards A2A (Agent-to-Agent) and MCP (Model Context Protocol) Business Alignment & Cross-Team Collaboration Translate ambiguous requirements into structured, AI-enabled solutions. Clearly communicate and present ideas, outcomes, and system behaviors to technical and non-technical stakeholders Good-To-Have Microsoft Copilot Studio DevRev Codium Cursor Atlassian AI Databricks Mosaic AI Qualifications 6–9 years of experience in software development or AI/ML engineering At least 3 years working with LLMs, GenAI applications, or agentic frameworks. Proficient in AI/ML, MLOps concepts, Python, embeddings, prompt engineering, and model orchestration Proven track record of developing functional AI prototypes beyond notebooks. Strong presentation and storytelling skills to clearly convey GenAI concepts and value. Ability to independently drive AI experiments fro

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.

Role Overview: Youll lead efforts in developing, training, and deploying machine learning models with a focus on data processing and computer vision. Using your expertise in Python, OpenCV, and other advanced tools, you will work on complex data science projects and help us push the boundaries of AI technology. Data Modelling & Processi Leverage OpenCV and advanced computer vision techniques for tasks like image recognition, object detection, and OCR. Model Development: Design, build, and train machine learning models using deep learning frameworks such as TensorFlow, PyTorch, and Keras. Computer Vision Projects: Leverage OpenCV and advanced computer vision techniques for tasks like image recognition, object detection, and OCR. ML Algorithms & Frameworks: Implement ML algorithms and leverage frameworks for NLP, computer vision, and other AI projects. Testing & Experimentation: Conduct machine learning tests and experiments, refining models based on performance metrics. API Development: Utilize Flask or Django to create APIs for model integration with applications. Data Annotation & Augmentation: Apply data augmentation techniques for robust model performance, especially in image-based datasets. Collaboration & Reporting: Work closely with cross-functional teams and provide detailed insights on model performance and data metrics. Technical Skills Required: Programming Languages: Proficiency in Python, with strong skills in C/C++ for performance-based applications. ML Frameworks: Expertise in TensorFlow, PyTorch, and Keras. Libraries & Tools: Strong command of OpenCV, Numpy, Scikit-learn, and Matplotlib. Data Handling & Processing: Hands-on experience with data processing tools such as Pandas and SQL. Natural Language Processing (NLP): Experience with NLP techniques using libraries like NLTK. Web Scraping & Automation: Familiarity with Beautiful Soup for data extraction and Selenium for automation. Software Development Tools: Knowledge of Django, Flask, Jupyter Notebook, and Linux environments. Analytical Skills: Strong understanding of optimization techniques, regularization methods, and model architecture. Qualifications: Bachelors degree in Computer Science, Engineering, or a related field. 2-4 years of experience in data science, machine learning, and model development. Demonstrated expertise in computer vision and natural language processing. Strong problem-solving and communication skills for cross-functional collaboration. Why Join Us? Cutting-Edge Projects: Work on innovative AI and machine learning projects. Professional Growth: Access to training and career advancement. Dynamic Environment: Collaborate with a team passionate about data and technology.

Data Science (Python + Statistics.) Key Responsibilities Designing and Executing Rigorous Statistical Tests: This responsibility entails the foundational work of ensuring that any observed relationship between variables is not merely due to chance. The specialist will design experiments and tests to establish the likelihood that an outcome is genuinely caused by the factors under study, rather than random variability. Proactive involvement in experimental design is essential, moving beyond mere post-hoc analysis. Performing Hypothesis Testing and Statistical Inference: The specialist will be responsible for defining and testing null and alternative hypotheses to determine statistical significance. Applying Advanced Statistical Methods for Data and Model Analysis: This encompasses a broad range of techniques vital for deeply analyzing datasets and model outputs. These include probability theory, which quantifies uncertainty and aids in prediction. Various sampling methods (e.g., random, stratified, cluster) are crucial for selecting representative subsets of data, allowing for reliable inferences about larger populations. Evaluating and Recommending Appropriate ML Algorithms: The specialist will assess the suitability of various ML algorithms, including supervised learning tasks like classification, regression, and forecasting, as well as unsupervised learning methods such as clustering and dimensionality reduction, and reinforcement learning. Conducting In-depth Analysis of Algorithmic Soundness and Applicability: This involves scrutinizing the theoretical underpinnings of selected algorithms, their assumptions, and their appropriateness for the specific problem and dataset. Assessing Model Performance Metrics: The specialist will evaluate models based on a variety of metrics relevant to the task. For classification tasks, this includes accuracy, precision, recall, and F1- score; for regression, metrics such as Root Mean Squared Error (RMSE) and Mean Absolute Error (MAE) are used. Required Qualifications Masters in a quantitative field such as Computer Science, Data Science, Engineering Statistics, Mathematics, or Machine Learning. Experience Minimum of 5+ years of progressive experience in machine learning validation, model risk management, data science, or a closely related role with a strong focus on statistical rigor and algorithmic assessment. Proven track record in successfully validating and deploying AI/ML-based solutions to solve complex business Experience with SQL for querying and managing databases. Familiarity with C++ and/or Java for performance-critical applications or integration. The ability to work across different parts of the ML stack, from data querying to model deployment and potentially low-level optimization. Machine Learning Frameworks & Tools: Experience with common ML frameworks such as TensorFlow and PyTorch. Data Analysis & Statistical Tools: Proficiency in data analysis and statistical tools, including Python/R libraries like NumPy, SciPy, Pandas, Matplotlib, and Seaborn. Data Visualization Tools: Experience with data visualization software like Looker, Looker Studio to present findings effectively. Deep understanding of machine learning algorithms, their underlying principles, and performance metrics. Strong knowledge of statistical analysis, modeling techniques, and hypothesis testing. Familiarity with advanced statistical modeling techniques such as Bayesian Inference and Variational Inference, and their integration with AI models. The mention of these advanced techniques suggests a need for cutting-edge statistical knowledge that goes beyond traditional frequentist methods. This indicates a role that is expected to contribute to the advancement of validation methodologies, not just their application.

ABOUT TIDE At Tide, we are building a business management platform designed to save small businesses time and money. We provide our members with business accounts and related banking services, but also a comprehensive set of connected administrative solutions from invoicing to accounting. Launched in 2017, Tide is now used by over 1 million small businesses across the world and is available to UK, Indian and German SMEs. Headquartered in central London, with offices in Sofia, Hyderabad, Delhi, Berlin and Belgrade, Tide employs over 2,000 employees. Tide is rapidly growing, expanding into new products and markets and always looking for passionate and driven people. Join us in our mission to empower small businesses and help them save time and money. ABOUT THE ROLE As Staff Data Scientist for the business area you will work closely with the Business Team, Product Managers, Data Governance team, Analysts, Scientists and Data Engineers in order to deliver Company, Business, Product OKRs (Objectives and Key Results). You will also look into data initiatives that drive efficiency in the e2e (end to end) process, from data ingestion to insight generation including data science / machine learning models for decisioning. This role is an excellent opportunity for anyone who is interested in helping /building/embedding data initiatives into several products in a rapidly scaling environment. You will be able to influence our roadmap, learn about best practices and be able to quickly see the impact of your work. As a Staff Data Scientist you ll be: Develop and plan our roadmap for our domain analytics and data engineering & science team Run scrum ceremonies with our Product/Business team Triage requests, create the work breakdown structure and assign it to respective Engineers/Scientists Work with Engineers, Scientists and governance team to identify challenges they face and work with them to identify solutions to these problems Ensure stakeholders are updated and informed about changes in our domain specific data needs Build and track metrics for the performance of our Engineering & Science team. Feedback to Product and Business Teams Ability to deal with ambiguity and propose innovative solutions without getting blocked WHAT ARE WE LOOKING FOR You have 10+ years of experience in Software development or Machine Learning. With 4+ years of product management experience and at least 2 years as a Product Owner embedding data initiatives into products especially Data Science and Machine Learning You can prioritise ML Data Science and Machine Learning product roadmaps for the respective businesses based on OKRs and priorities You have a deep understanding of managing technical products with a background in data You have a high level understanding with big-data technologies such as Spark, SparkML, Hadoop etc. Strong knowledge of Cloud (AWS or other) You ve delivered on fast-growing product-focused company before as a Data Manager or Data Lead or Data Program manager (products where the customer is retail or small business - as opposed to internal-facing tools) You re organised, pragmatic and capable of engaging, guiding and leading cross functional teams or managing large scale enterprise products. You have technical knowledge and experience and have strong empathy for developer audience You re a self-starter who can work comfortably in a fast-moving company where priorities can change and processes may need to be created from scratch with minimal guidance. You have significant experience working with varied stakeholders You have good technical knowledge in SQL, strong in Python programming You have a good understanding on how the performance optimization works in the end to end data pipeline including ML/DS inferencing You have excellent leadership skills - you have managed a team of data scientists before and coached them to become better versions of themselves OUR TECH STACK (You don t have to excel in all, but willing to learn them): Databricks on AWS Python Snowflake Tecton - feature store Fiddler - model observability platform WHAT YOU WILL GET IN RETURN Make work, work for you! We are embracing new ways of working and support flexible working arrangements. With our Working Out of Office (WOO) policy our colleagues can work remotely from home or anywhere in their assigned Indian state. Additionally, you can work from a different country or Indian state for 90 days of the year. Plus, you ll get: Competitive salary Self & Family Health Insurance Term & Life Insurance OPD Benefits Mental wellbeing through Plumm Learning & Development Budget WFH Setup allowance 15 days of Privilege leaves 12 days of Casual leaves 12 days of Sick leaves 3 paid days off for volunteering or L&D activities Stock Options TIDEAN WAYS OF WORKING At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community. TIDE IS A PLACE FOR EVERYONE At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members diverse needs and lives. We are One Team and foster a transparent and inclusive environment, where everyone s voice is heard. At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members diverse needs. We are One Team, committed to transparency and ensuring everyone s voice is heard. You personal data will be processed by Tide for recruitment purposes and in accordance with Tides Recruitment Privacy Notice .

Job Title: Data Scientist Job Description : We are seeking Data Scientist for our team in Bangalore. As a Data Scientist your responsibility will be to build & deploy end-to-end Data Science and AI/ML solutions. Must Have Technical Skills : Data Science & ML Model Development : Design, develop, and deploy Machine Learning , AI and statistical models using Python, PyTorch, R and TensorFlow. AI & Gen AI Use Cases : Working knowledge of Generative AI and Large Language Model (LLM) technologies on public cloud platforms, utilizing RAG patterns Data Exploration & Feature Engineering : Conduct exploratory data analysis and prepare datasets using advanced feature engineering techniques. End-to-End ML Pipeline Implementation : Collaborate with engineering teams to develop scalable ML pipelines and workflows. Cloud & Platform Integration : Used cloud-native services on AWS like TensorFlow, Bedrock etc along with Dataiku/Databricks/Snowflake, will be added advantage. Model Evaluation & Optimization : Evaluate model performance using appropriate metrics and continuously optimize them. Stakeholder Collaboration : Translate business problems into data science use cases and present insights to technical and non-technical stakeholders. Working Knowledge : Good to have an experience of AIML platforms like Dataiku/ Databricks/Snowflake and Cloude services like AWS/Azure/GCP. Responsibilities Responsible for the design, development, and maintenance of applications and systems, as well as managing the technical infrastructure in the production environment. Develop and implement advanced machine learning and deep learning models to automate and transform business processes. Create and apply data science models to generate strategic insights, build predictive models, and deploy solutions that align with current industry standards. Leverage generative AI models to create synthetic financial data, simulate market scenarios, generate investment ideas, automate post-trade processes, and enhance interactions with stakeholders. Work closely with both technical and business teams to solve complex challenges and perform client demos. Experience Level : 3 to 5 years in Data Science, AI/ML project implementation. Educational Background : Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Good To Have: Understanding of CI/CD tools for ML model deployment. Understanding of data governance, data security, and compliance frameworks. Knowledge of visualization tools like Power BI, Tableau, or Plotly.