What You'll be doing: Dashboard Development: Design, develop, and maintain interactive and visually compelling dashboards using Power BI. Implement DAX queries and data models to support business intelligence needs. Optimize performance and usability of dashboards for various stakeholders. Python & Streamlit Applications: Build and deploy lightweight data applications using Streamlit for internal and external users. Integrate Python libraries (e.g., Pandas, NumPy, Plotly, Matplotlib) for data processing and visualization. Data Integration & Retrieval: Connect to and retrieve data from RESTful APIs, cloud storage (e.g., Azure Data Lake, Cognite Data Fusion, and SQL/NoSQL databases. Automate data ingestion pipelines and ensure data quality and consistency. Collaboration & Reporting: Work closely with business analysts, data engineers, and stakeholders to gather requirements and deliver insights. Present findings and recommendations through reports, dashboards, and presentations. Requirements: Bachelor’s or master’s degree in computer science, Data Science, Information Systems, or a related field. 3+ years of experience in data analytics or business intelligence roles. Proficiency in Power BI, including DAX, Power Query, and data modeling. Strong Python programming skills, especially with Streamlit, Pandas, and API integration. Experience with REST APIs, JSON/XML parsing, and cloud data platforms (Azure, AWS, or GCP). Familiarity with version control systems like Git. Excellent problem-solving, communication, and analytical skills. Preferred Qualifications: Experience with CI/CD pipelines for data applications. Knowledge of DevOps practices and containerization (Docker). Exposure to machine learning or statistical modeling is a plus. Show more Show less

About Our Company: Aerocraft Engineering India PVT Ltd based in Ahmedabad, provides services to US based Architecture, Engineering and Construction group of companies: Russell and Dawson – An Architecture/Engineering/Construction firm (www.rdaep.com) United-BIM – BIM Modeling Services Firm (www.united-bim.com) AORBIS – Procurement as a Service Provider (www.aorbis.com) For AORBIS business, we are looking for experienced Python & AI/ML Developers to design, develop, test, and maintain our Python-based internal web application with a focus on Artificial Intelligence/Machine Learning (AI/ML) technologies. Position: Senior Python & AI/ML Developer Location: Work from Office, Ahmedabad (S G Highway, Makarba) Timings: 12pm to 9pm - Monday to Friday Experience: Minimum 2-6 years Job Location: Ahmedabad (Siddhivinayak Towers, Makarba) Responsibilities: Design and Deploy AI-driven solutions Lead, mentor, and inspire a team of computer vision engineers. Foster a collaborative and innovative work environment. Design and implement computer vision algorithms for geospatial data analysis. Drive the development of Machine Learning Models to automate PDF and construction design analysis. Stay abreast of the latest developments in computer vision, AI, and geospatial technology. Innovate and contribute to the development of new and improved algorithms. Collaborate with Product Managers, Software Engineers, and other stakeholders to integrate AI solutions into our platform. Provide technical leadership and guidance on AI-related projects. Research a combination of primary and secondary research to build an understanding of customer/ internal platform users, their needs, and pain points. Solutioning -developing a hypothesis based on the research, iterating to define product requirements. Designing- working with the design team to translate the product requirements into a delightful UX and UI. Execution -working proactively with engineering teams to build out the product in the most efficient way. Gathering feedback- designing methods to understand how users are using the product, through product analytics, surveys, and conversations. Identifying relevant and impactful feedback and incorporating it in the product roadmap Stakeholder management. Independent long-term thinking -taking a step back from the daily hustle to think about the long-term future of your products. Mentoring - guiding a team of junior APMs and ensuring they are able to grow and take more ownership of product areas. Skills Required: Minimum 5 years of experience in computer vision and handling a team High proficiency in Python / LLM or similar programming language (LLM Mandatory) Applicant should be preferably skilled in image/PDF processing libraries like OpenCV, dLib Open GL, scikit - learn and TensorFlow, PyTorch, Caffe, Keras, Point Cloud Library and Basic Python Libraries (numpy, panda, os). Experience with machine learning especially classification algorithms is required (e.g. k-nn, support vector machine) as well as experience in processing multispectral data Experience with cloud-based (AWS/Azure/GCP) implementation of computer vision solutions. Ability to research and prototype new algorithms. Experience in using Source Control / Project Tracking systems (Github, Jira). Experience in image segmentation, object, and motion detection, tracking, and classification. Benefits: Exposure to US Projects/Design/Standards Company provides Dinner/Snacks/Tea/Coffee Reimbursable Health Insurance 15 paid leave annually & 10 Public Holidays Show more Show less

Job Description Publicis Sapient is looking for Python developers to join our team of bright thinkers and enablers. You will use your problem-solving skills, craft & creativity to design and develop infrastructure interfaces for complex business applications. We are on a mission to transform the world, and you will be instrumental in shaping how we do it with your ideas, thoughts, and solutions. Key Responsibility Statement Design and develop scalable PySpark data pipelines to ensure efficient processing of large datasets, enabling faster insights and business decision-making. Leverage Databricks notebooks for collaborative data engineering and analytics, improving team productivity and reducing development cycle times. Write clean, modular, and reusable Python code to support data transformation and enrichment, ensuring maintainability and reducing technical debt. Implement data quality checks and validation logic within ETL workflows to ensure trusted data is delivered for downstream analytics and reporting. Optimize Spark jobs for performance and cost-efficiency by tuning partitions, caching strategies, and cluster configurations, resulting in reduced compute costs. Qualifications Your Skills & Experience: Solid understanding of Python programming fundamentals, especially in building modular, efficient, and testable code for data processing. Familiarity with libraries like pandas, NumPy, and SQLAlchemy (for lightweight transformations or metadata management). Proficient in writing and optimizing PySpark code for large-scale distributed data processing. Deep knowledge of Spark internals, partitioning, shuffling, lazy evaluation, and performance tuning. Comfortable using Databricks notebooks, clusters, and Delta Lake. Additional Information Set Yourself Apart With Familiarity with cloud-native services like AWS S3, EMR, Glue, Lambda, or Azure Data Factory. Experience deploying or integrating pipelines within a cloud environment adds flexibility and scalability. Experience with tools like Great Expectations or custom-built validation logic to ensure data trustworthiness. A Tip From The Hiring Manager This person should be highly organized, adapt quickly to change, and thrive in a fast-paced organization. This is a job for the curious, make-things-happen kind of person. Someone who thinks like an entrepreneur and can motivate and move their team to achieve and drive impact. Benefits Of Working Here Gender-Neutral Policy 18 paid holidays throughout the year. Generous parental leave and new parent transition program Employee Assistance Programs to help you in wellness and well-being. Company Description Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value. Show more Show less

Senior AI Engineer Relevant Experience: 5 - 8 Years Work Location: Hyderabad Working Days: 5 Days Notice Period: Immediate or 15 days maximum. Job Overview: We are seeking a highly skilled and experienced Senior Data Scientist with expertise in Machine Learning (ML), Generative AI (GenAI), and Deep Learning (DL). Mandatory Skills • 5+ years of work experience in writing code in Python •Experience in using various Python libraries like Pandas, NumPy •Experience in writing good quality code in Python and code refactoring techniques (e.g., IDE’s – PyCharm, Visual Studio Code; Libraries – Pylint, pycodestyle, pydocstyle, Black) •Deep understanding of data structures, algorithms, and excellent problem-solving skills •Experience in Python, Exploratory Data Analysis (EDA), Feature Engineering, Data Visualisation • Machine Learning libraries like Scikit-learn, XGBoost • Experience in CV, NLP or Time Series. • Experience in building models for ML tasks (Regression, Classification) • Should have Experience into LLM, LLM Fine Tuning, Chatbot, RAG Pipeline Chatbot, LLM Solution, Multi Modal LLM Solution, GPT, Prompt, Prompt Engineering, Tokens, Context Window, Attention Mecanism, Embeddings •Experience of model training and serving on any of the cloud environments (AWS, GCP, Azure) •Experience in distributed training of models on Nvidia GPU’s •Familiarity in Dockerizing the model and create model end points (Rest or gRPC) •Strong working knowledge of source code control tools such as Git, Bitbucket •Prior experience of designing, developing and maintaining Machine Learning solution through its Life Cycle is highly advantageous •Strong drive to learn and master new technologies and techniques •Strong communication and collaboration skills •Good attitude and self-motivated  Work environment – we have an environment to create an impact on the client business and transform innovative ideas into reality. Even our junior engineers get the opportunity to work on different product features in complex domains  Open communication, flat hierarchy, plenty of individual responsibility Show more Show less

About Us: Athena is India's largest institution in the "premium undergraduate study abroad" space. Founded 10 years ago by two Princeton graduates, Poshak Agrawal and Rahul Subramaniam, Athena is headquartered in Gurgaon, with offices in Mumbai and Bangalore, and caters to students from 26 countries. Athena’s vision is to help students become the best version of themselves. Athena’s transformative, holistic life coaching program embraces both depth and breadth, sciences and the humanities. Athena encourages students to deepen their theoretical knowledge and apply it to address practical issues confronting society, both locally and globally. Through our flagship program, our students have gotten into various, universities including Harvard University, Princeton University, Yale University, Stanford University, University of Cambridge, MIT, Brown, Cornell University, University of Pennsylvania, University of Chicago, among others. Learn more about Athena: https://www.athenaeducation.co.in/article.aspx Role Overview We are looking for an AI/ML Engineer who can mentor high-potential scholars in creating impactful technology projects. This role requires a blend of strong engineering expertise, the ability to distill complex topics into digestible concepts, and a deep passion for student-driven innovation. You’ll help scholars explore the frontiers of AI—from machine learning models to generative AI systems—while coaching them in best practices and applied engineering. Key Responsibilities: Guide scholars through the full AI/ML development cycle—from problem definition, data exploration, and model selection to evaluation and deployment. Teach and assist in building: Supervised and unsupervised machine learning models. Deep learning networks (CNNs, RNNs, Transformers). NLP tasks such as classification, summarization, and Q&A systems. Provide mentorship in Prompt Engineering: Craft optimized prompts for generative models like GPT-4 and Claude. Teach the principles of few-shot, zero-shot, and chain-of-thought prompting. Experiment with fine-tuning and embeddings in LLM applications. Support scholars with real-world datasets (e.g., Kaggle, open data repositories) and help integrate APIs, automation tools, or ML Ops workflows. Conduct internal training and code reviews, ensuring technical rigor in projects. Stay updated with the latest research, frameworks, and tools in the AI ecosystem. Technical Requirements: Proficiency in Python and ML libraries: scikit-learn, XGBoost, Pandas, NumPy. Experience with deep learning frameworks : TensorFlow, PyTorch, Keras. Strong command of machine learning theory , including: Bias-variance tradeoff, regularization, and model tuning. Cross-validation, hyperparameter optimization, and ensemble techniques. Solid understanding of data processing pipelines , data wrangling, and visualization (Matplotlib, Seaborn, Plotly). Advanced AI & NLP Experience with transformer architectures (e.g., BERT, GPT, T5, LLaMA). Hands-on with LLM APIs : OpenAI (ChatGPT), Anthropic, Cohere, Hugging Face. Understanding of embedding-based retrieval , vector databases (e.g., Pinecone, FAISS), and Retrieval-Augmented Generation (RAG). Familiarity with AutoML tools , MLflow, Weights & Biases, and cloud AI platforms (AWS SageMaker, Google Vertex AI). Prompt Engineering & GenAI Proficiency in crafting effective prompts using: Instruction tuning Role-playing and system prompts Prompt chaining tools like LangChain or LlamaIndex Understanding of AI safety , bias mitigation, and interpretability. Required Qualifications: Bachelor’s degree from a Tier-1 Engineering College in Computer Science, Engineering, or a related field. 2-5 years of relevant experience in ML/AI roles. Portfolio of projects or publications in AI/ML (GitHub, blogs, competitions, etc.) Passion for education, mentoring , and working with high school scholars. Excellent communication skills, with the ability to convey complex concepts to a diverse audience. Preferred Qualifications: Prior experience in student mentorship, teaching, or edtech. Exposure to Arduino, Raspberry Pi, or IoT for integrated AI/ML projects. Strong storytelling and documentation abilities to help scholars write compelling project reports and research summaries. Show more Show less

mthree is seeking a Python Developer to join a highly regarded Multinational Investment Bank and Financial Services Company. Job Description: Role: Python Developer Team: TEDRA Trading Location: Mumbai, India The Client: Client is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments and individuals from more than 1,200 offices in 43 countries. As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. The client can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture. The client is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximise their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing and advancing individuals based on their skills and talents. Team Profile: Within TEDRA, the Internal Trade Activity Reporting Applications Practice Area (ITARA) develops and supports systems and infrastructure for trade data-related report generation and distribution, high performance business intelligence platforms, data extraction, and data marts for internal users. Within ITARA, the Equity Reporting team is charged with providing innovative reporting solutions for our users. This includes building data marts, Business Intelligence solutions and standalone reports that have the requisite functionality and performance to meet their needs. Projects cover a broad range of usage including Sales and Trading Desks, Finance, Operations, External Counterparties and Technology. 1. Technical Skill Requirements A. Python Proficiency Data Structures Object-Oriented Programming (OOP) Required Expertise : Strong hands-on experience with Python Proficiency in NumPy, Pandas Application of OOP and data structures in real-world coding scenarios Exposure through coding exercises and mini-projects B. Database Knowledge Required Expertise : Solid grasp of SQL, including: Complex queries Joins Performance tuning Real-Time Data Processing Exposure to database management systems Participation in workshops/bootcamps with hands-on assignments Ability to handle and process real-time data streams (e.g., from Bloomberg) Knowledge of data streaming tools and platforms Practical experience via case studies and assignments C. Cloud Technologies Required Expertise : Familiarity with cloud platforms (e.g., Snowflake) Ability to work with APIs for data extraction and processing Online certifications and real-world project experience in cloud-based data workflows Requires Python + API integration + cloud platform knowledge Python Developer Show more Show less

FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions. At FactSet, our values are the foundation of everything we do. They express how we act and operate, serve as a compass in our decision-making, and play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients’ needs and exceeding their expectations. Job Description: FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions. At FactSet, our values are the foundation of everything we do. They express how we act and operate, serve as a compass in our decision-making, and play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients’ needs and exceeding their expectations. Your Team Impact FactSet's Ownership Engineering team under DSE is focused on delivering Ownership data (e.g. holders and holdings data) coming from different sources by providing database solutions and automated processes which follow an Extract-Transform-Load (ETL) procedure. Ownership Engineering team provides complete, accurate, and timely data that is being sourced through our applications and custom client processes. The group manages ownership data distribution services, routinely increasing efficiency year over year through automation. We are looking for a candidate who is independent, driven, and has strong communication skills and technical knowledge who will help the team contribute to the company’s goals and help to provide our clients with the data they need to make informed decisions. An engineer who will be able to learn and work on a variety of technologies, including market-used and proprietary technologies. What You’ill Do Experience in designing, developing, and deploying web applications, ensuring they are scalable, efficient, and maintainable. Proactive in providing technical solutions with effective communication & collaboration skills. Ownership on end-end product & Individual contribution. Ability to contribute to forward design ideas, code reviews and ensure best practices are followed. Work in agile team environment and collaborate with internal teams to ensure smooth product delivery. Performance Improvements with the help of metrics provided by automatic monitoring of product. Ensure high stability of product. Continuous Knowledge sharing internal & external of Team. What We’re Looking For 3-5 years of overall industry experience. Bachelor’s or master’s degree in computer science Strong knowledge on Python, Pandas, NumPy Experience with Database Relational database ( MYSQL, POSTGRES, MSSQL or similar RDBMS) Experience on Cloud Technology Amazon AWS, etc. Strong Communication and problem-solving skills. Flexible with time zones / shifts and a willingness to handle on-call responsibilities Experience with GitHub-based development processes Willingness to participate in rotating on-call duties for data services Organized, self-directed, and resourceful with the ability to appropriately prioritize work in a fast-paced environment Desired Skills Experience with Pyspark Infrastructure as code using Terraform is plus. Familiar with Agile software development (Scrum is a plus). Good to have .NET What's In It For You At FactSet, our people are our greatest asset, and our culture is our biggest competitive advantage. Being a FactSetter means: The opportunity to join an S&P 500 company with over 45 years of sustainable growth powered by the entrepreneurial spirit of a start-up. Support for your total well-being. This includes health, life, and disability insurance, as well as retirement savings plans and a discounted employee stock purchase program, plus paid time off for holidays, family leave, and company-wide wellness days. Flexible work accommodations. We value work/life harmony and offer our employees a range of accommodations to help them achieve success both at work and in their personal lives. A global community dedicated to volunteerism and sustainability, where collaboration is always encouraged, and individuality drives solutions. Career progression planning with dedicated time each month for learning and development. Business Resource Groups open to all employees that serve as a catalyst for connection, growth, and belonging. Learn More About Our Benefits Here. Salary is just one component of our compensation package and is based on several factors including but not limited to education, work experience, and certifications. Company Overview: FactSet (NYSE:FDS | NASDAQ:FDS) helps the financial community to see more, think bigger, and work better. Our digital platform and enterprise solutions deliver financial data, analytics, and open technology to more than 8,200 global clients, including over 200,000 individual users. Clients across the buy-side and sell-side, as well as wealth managers, private equity firms, and corporations, achieve more every day with our comprehensive and connected content, flexible next-generation workflow solutions, and client-centric specialized support. As a member of the S&P 500, we are committed to sustainable growth and have been recognized among the Best Places to Work in 2023 by Glassdoor as a Glassdoor Employees’ Choice Award winner. Learn more at www.factset.com and follow us on X and LinkedIn. At FactSet, we celebrate difference of thought, experience, and perspective. Qualified applicants will be considered for employment without regard to characteristics protected by law. Show more Show less

Description And Requirements CareerArc Code CA-DN Hybrid "At BMC trust is not just a word - it's a way of life!" We are an award-winning, equal opportunity, culturally diverse, fun place to be. Giving back to the community drives us to be better every single day. Our work environment allows you to balance your priorities, because we know you will bring your best every day. We will champion your wins and shout them from the rooftops. Your peers will inspire, drive, support you, and make you laugh out loud! We help our customers free up time and space to become an Autonomous Digital Enterprise that conquers the opportunities ahead - and are relentless in the pursuit of innovation! The DSOM product line includes BMC’s industry-leading Digital Services and Operation Management products. We have many interesting SaaS products, in the fields of: Predictive IT service management, Automatic discovery of inventories, intelligent operations management, and more! We continuously grow by adding and implementing the most cutting-edge technologies and investing in Innovation! Our team is a global and versatile group of professionals, and we LOVE to hear our employees’ innovative ideas. So, if Innovation is close to your heart – this is the place for you! BMC is looking for a Java Tech Lead, an innovator at heart, to join a team of highly skilled software developers, responsible for BMC’s Helix Capacity Optimization product. Here is how, through this exciting role, YOU will contribute to BMC's and your own success: Play a vital role in project design to ensure scalability, reliability, and performance are met Design and develop new features as well as maintain existing features by adding improvements and fixing defects in complex areas (using Java) Design and maintain robust AI/ML pipelines using Python and industry-standard ML frameworks. Collaborate closely with AI researchers and data scientists to implement, test, and deploy machine learning models in production. Leverage prompt engineering techniques and implement LLM optimization strategies to enhance response quality and performance. Assist in troubleshooting complex technical problems in development and production Implement methodologies, processes & tools Initiate projects and ideas to improve the team’s results On-board and mentor new employees To ensure you’re set up for success, you will bring the following skillset & experience: Backend Development: FastAPI, RESTful APIs, Python Cloud Infrastructure: AWS, EKS, Docker, Kubernetes AI/ML Frameworks: LangChain, Scikit-learn, Bedrock, Hugging Face (optional to add if applicable) ML Pipelines: Python, Pandas, NumPy, joblib DevOps & CI/CD: Git, Terraform (optional), Helm, GitHub Actions LLM Expertise: Prompt engineering, RAG (Retrieval Augmented Generation), vector databases (e.g., FAISS, Pinecone) You have 12+ years of experience in Java Backend development You have experience as a Backend Tech Lead You have experience in Spring, Swagger, REST API You worked with Spring Boot, Docker, Kubernetes You are a self-learner who’s passionate about problem solving and technology You are a team player with good communication skills in English (verbal and written) Whilst these are nice to have, our team can help you develop in the following skills: Public Cloud (AWS, Azure, GCP) Python, Node.js, C/C++ Automation Frameworks such as Robot Framework BMC Software maintains a strict policy of not requesting any form of payment in exchange for employment opportunities, upholding a fair and ethical hiring process. At BMC we believe in pay transparency and have set the midpoint of the salary band for this role at 5,408,900 INR. Actual salaries depend on a wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training, licensure, and certifications; and other business and organizational needs. The salary listed is just one component of BMC's employee compensation package. Other rewards may include a variable plan and country specific benefits. We are committed to ensuring that our employees are paid fairly and equitably, and that we are transparent about our compensation practices. ( Returnship@BMC ) Had a break in your career? No worries. This role is eligible for candidates who have taken a break in their career and want to re-enter the workforce. If your expertise matches the above job, visit to https://bmcrecruit.avature.net/returnship know more and how to apply. Min salary 4,056,675 Our commitment to you! BMC’s culture is built around its people. We have 6000+ brilliant minds working together across the globe. You won’t be known just by your employee number, but for your true authentic self. BMC lets you be YOU! If after reading the above, You’re unsure if you meet the qualifications of this role but are deeply excited about BMC and this team, we still encourage you to apply! We want to attract talents from diverse backgrounds and experience to ensure we face the world together with the best ideas! BMC is committed to equal opportunity employment regardless of race, age, sex, creed, color, religion, citizenship status, sexual orientation, gender, gender expression, gender identity, national origin, disability, marital status, pregnancy, disabled veteran or status as a protected veteran. If you need a reasonable accommodation for any part of the application and hiring process, visit the accommodation request page. Mid point salary 5,408,900 Max salary 6,761,125 Show more Show less

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

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities AI Implementation: Implement AI solutions to automate tasks, improve customer experiences, and optimize operations Data Analysis and Interpretation: Analyze large datasets to extract meaningful insights and trends using Python and data science techniques Model Development: Develop, train, and deploy machine learning models to solve business problems and enhance decision-making processes Data Collection and Cleaning: Data Analysts are responsible for gathering data from multiple sources, ensuring its accuracy and completeness. This involves cleaning and preprocessing data to remove inaccuracies, duplicates, and irrelevant information. Proficiency in data manipulation tools such as SQL, Excel, and Python is essential for efficiently handling large data sets Analysis and Interpretation: One of the primary tasks of a Data Analyst is to analyse data to uncover trends, patterns, and correlations. They use statistical techniques and software such as R, SAS, and Tableau to conduct detailed analyses. The ability to interpret results and communicate findings clearly is crucial for guiding business decisions Reporting and Visualization: Data Analysts create comprehensive reports and visualizations to present data insights to stakeholders. These visualizations, often created using tools like Power BI and Tableau, make complex data more understandable and actionable. Analysts must be skilled in designing charts, graphs, and dashboards that effectively convey key information Collaboration and Communication: Effective collaboration with other departments, such as marketing, finance, and IT, is vital for understanding data needs and ensuring that analysis aligns with organizational goals. Data Analysts must communicate their findings clearly and concisely, often translating technical data into understandable insights for non-technical stakeholders Predictive Modelling and Forecasting: Advanced Data Analysts also engage in predictive modelling and forecasting, using machine learning algorithms and statistical methods to predict future trends and outcomes. This requires a solid understanding of data science principles and familiarity with tools like TensorFlow and Scikit-learn Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Undergraduate degree or equivalent experience Python Proficiency: Solid knowledge of Python programming, including libraries for data analysis (e.g., Pandas, NumPy) and machine learning (e.g., scikit-learn, TensorFlow, Keras) At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. Show more Show less

Job Title: Python Developer Location: Hyderabad ( On-Site ) Job Type: Full-Time Experience : 4 to 7 Years Notice period : Immediate to 15 Days Job Summary We are seeking a skilled and motivated Python Developer with hands-on experience in building APIs using Fast API and Flask . The ideal candidate should be proficient in Python programming and have a strong grasp of data manipulation and analysis using NumPy and Pandas . You will be responsible for developing scalable backend services, integrating APIs, and working closely with data engineering and frontend teams to deliver robust software solutions. Key Responsibilities Design, develop, and maintain using Fast API and Flask. Write clean, reusable, and efficient code in Python. Work with large datasets using NumPy and Pandas for data transformation and analysis. Collaborate with cross-functional teams to gather requirements and implement backend services. Optimize applications for performance, scalability, and reliability. Implement security and data protection protocols in API services. Write unit and integration tests to ensure code quality. Maintain documentation for code, APIs, and system architecture. Required Skills & Qualifications Strong programming skills in Python. Proficiency in developing APIs using Fast API and Flask. Experience with data manipulation libraries like NumPy and Pandas. Familiarity with REST principles and asynchronous programming. Experience with version control tools like Git. Understanding of CI/CD pipelines and containerization (e.g., Docker) is a plus. Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience. Skills: python,data manipulation,asynchronous programming,skills,fast api,ci/cd pipelines,rest principles,git,api,data,numpy,pandas,docker,flask,code Show more Show less

Overview: TekWissen is a global workforce management provider throughout India and many other countries in the world. The below clientis a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place – one that benefits lives, communities and the planet Job Title: Senior Data Scientist Location: Chennai Duration: 12 Months Work Type: Onsite Position Description: We are seeking an experienced and highly analytical Senior Data Scientist with a strong statistical background to join our dynamic team. You will be instrumental in leveraging our rich datasets to uncover insights, build sophisticated predictive models, and create impactful visualizations that drive strategic decisions. Responsibilities: Lead the end-to-end lifecycle of data science projects, from defining the business problem and exploring data to developing, validating, deploying, and monitoring models in production. Apply advanced statistical methodologies and machine learning algorithms to analyze large, complex datasets (structured and unstructured) and extract meaningful patterns and insights. Develop and implement robust, scalable, and automated processes for data analysis and model pipelines, leveraging cloud infrastructure. Collaborate closely with business stakeholders and cross-functional teams to understand their analytical needs, translate them into technical requirements, and effectively communicate findings. Create compelling and interactive dashboards and data visualizations to clearly present complex results and insights to both technical and non-technical audiences. Stay up to date with the latest advancements in statistics, machine learning, and cloud technologies, and advocate for the adoption of best practices. Skills Required: Statistics, Machine Learning, Data Science, Problem Solving, Analytical, Communications Skills Preferred: GCP, Google Cloud Platform, Mechanical Engineering, Cost Analysis Experience Required: 5+ years of progressive professional experience in a Data Scientist, Machine Learning Engineer, or similar quantitative role, with a track record of successfully delivering data science projects. Bachelor's or Master's degree in Statistics. A strong foundation in statistical theory and application is essential for this role. (We might consider highly related quantitative fields like Applied Statistics, Econometrics, or Mathematical Statistics if they have a demonstrably strong statistical core, but Statistics is our primary focus). Proven hands-on experience applying a variety of machine learning techniques (e.g., regression, classification, clustering, tree-based models, potentially deep learning) to real-world business problems. Must have strong proficiency in Python and its data science ecosystem (e.g., Pandas, NumPy, Scikit-learn, potentially TensorFlow or PyTorch). Hands-on experience working with cloud computing platforms (e.g., AWS, Azure, GCP) for data storage, processing, and deploying analytical solutions. Extensive experience creating data visualizations and dashboards to effectively communicate insights. You know how to tell a story with data! Solid understanding of experimental design, hypothesis testing, and statistical inference. Excellent problem-solving skills, attention to detail, and the ability to work with complex data structures. Strong communication, presentation, and interpersonal skills, with the ability to explain technical concepts clearly to diverse audiences. Experience Preferred: Experience working within the Automotive industry or with related data such as vehicle telematics, manufacturing quality, supply chain, or customer behavior in an automotive context. Experience with GCP services such as GCP Big query, GCS, Cloud Run, Cloud Build, Cloud Source Repositories, Cloud Workflows Proficiency with specific dashboarding and visualization tools such as Looker Studio, PowerBI, Qlik, or Tableau. Experience with SQL for data querying and manipulation. Familiarity with big data technologies (e.g., Spark, Hadoop). Experience with MLOps practices and tools for deploying and managing models in production. Advanced degree (PhD) in Statistics or a related quantitative field. Education Required: Bachelor's Degree Education Preferred: Master's Degree TekWissen® Group is an equal opportunity employer supporting workforce diversity. Show more Show less

Skills required ETL Engineer: Mandatory skills (8+ Years of experience in ETL development with 4+ Years on AWS Pyspark scripting) 1. Experience deploying and running AWS-based data solutions using services or products such as S3, Lambda, SNS, Cloud Step Functions. 2. Person should be strong in Pyspark 3. Hands on and working knowledge in Python packages like NumPy, Pandas, Etc 4. Experience deploying and running AWS-based data solutions using services or products such as S3, Lambda, SNS, Cloud Step Functions. Sound knowledge in AWS services is must. 5. Person should work as Individual contributor 6. Good to have familiar with metadata management, data lineage, and principles of data governance. Good to have: 1. Experience to process large set of data transformations both semi and structured data 2. Experience to build data lake & configuration on delta tables. 3. Good experience with computing & cost optimization. 4. Understanding the environment and use case and ready to build holistic Data Integration frame works. 5. Good experience in MWAA (airflow orchestration) Soft skill: 1. Having good communication to interact with IT-Stake holders and Business. 2. Understand the pain point to delivery. Show more Show less

Bounteous, a digital innovation partner of the world's most ambitious brands and Accolite Digital , a leading digital engineering, cloud, data & AI services provider, have announced their merger, creating a new end-to-end digital transformation services consultancy that partners with leading brands around the globe to co-innovate and drive exceptional client outcomes. It was Founded in 2003 in Chicago, Bounteous is a leading digital experience consultancy that co-innovates with the world's most ambitious brands to create transformative digital experiences. With services in Strategy, Experience Design, Technology, Analytics and Insight, and Marketing, Bounteous elevates brand experiences and drives superior client outcomes. For more information, please visit www.bounteous.com. Profile: Python Developer Experience: 4+ Years Notice Period: 0-15 Days Location: Bangalore Skills Required: Developing and enhancing Python solutions Should have strong experience in Python Libraries such as Pandas, NumPy. Experience in Restful API’s, experience in linux Integrating user-facing elements into applications Should have experience in web Frameworks especially in Django. Good Problem Solving and Communication skills. Looking for a strong experience in Python with 5+ years of experience Developing and enhancing Python solutions Should have strong experience in Python Libraries such as Pandas, NumPy. Experience in Restful API’s Integrating user-facing elements into applications Should have experience in web Frameworks especially in Django. Good Problem Solving and Communication skill Show more Show less

FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions. At FactSet, our values are the foundation of everything we do. They express how we act and operate, serve as a compass in our decision-making, and play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients’ needs and exceeding their expectations. Your Team's Impact Join our dynamic Machine Learning and AI team, where we build innovative models and solutions that drive business transformation and unlock new opportunities. You’ll be at the forefront of AI-powered initiatives, collaborating closely with product teams to shape the future of data-driven insights. This position offers high visibility and the chance to directly influence key decisions across the organization. You will report to the Manager of AI. Working Mode: Hybrid (3 days mandatory Office) What You'll Do Technical Leadership & Strategy Lead the design, development, and deployment of machine learning models and systems at scale. Define and drive the technical roadmap for ML initiatives in alignment with business goals. Evaluate and select appropriate ML techniques, architectures, and tools for various problems (e.g., NLP, CV, tabular data). Ensure robust experimentation, validation, and performance benchmarking practices. Team Guidance & Mentorship Mentor and support junior and mid-level ML engineers, guiding them on model development, research approaches, and code quality. Conduct technical reviews of models, pipelines, and code to ensure high standards. Promote a culture of continuous learning, innovation, and scientific rigor within the team. System & Pipeline Development Architect and implement scalable ML pipelines for training, validation, inference, and monitoring. Collaborate with data engineers to ensure high-quality data ingestion, feature engineering, and labeling workflows. Contribute to MLOps practices by building reproducible, testable, and maintainable model delivery frameworks. Assist in designing, developing, and implementing machine learning models for real-world applications. Work on data collection, preprocessing, feature engineering, and model evaluation tasks. Collaborate with cross-functional teams including Data Science, Software Engineering, and Product. Perform exploratory data analysis (EDA) and prepare datasets for training/testing. Contribute to the deployment and monitoring of models in production environments. Write clean, efficient, and well-documented code in Python or similar languages. Stay updated with the latest developments in AI/ML research and tools. Assist in model optimization, hyperparameter tuning, and performance scaling. Stay current with the latest industry trends and technologies, contributing innovative ideas to ongoing projects. Test and validate models to ensure their reliability and effectiveness in production environments. Work with large datasets to extract meaningful insights using various statistical and ML techniques. Required Skills What We're Looking For Bachelor’s or master’s degree in computer science, Engineering, or a related field is required. 5+ years of experience in software development, with a focus on systems handling large-scale data operations. Strong foundation in Machine Learning concepts (supervised/unsupervised learning, regression, classification, clustering, etc.). Good programming skills in Python (or similar languages like R, Java, C++). Hands-on experience with ML libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch, Keras). Understanding of data structures, algorithms, and basic mathematics/statistics and database management systems. Excellent verbal and written communication skills, capable of articulating complex concepts to technical and non-technical audiences. Familiarity with data handling tools (e.g., Pandas, NumPy, SQL). Good analytical, problem-solving, and communication skills. Ability to learn new technologies quickly and work independently or as part of a team. Ability to work collaboratively in a team environment, contributing to group success while expanding personal skills. Desired Skills Exposure to deep learning, NLP, computer vision, or reinforcement learning projects (academic or internships). Knowledge of cloud platforms like AWS, Azure, or GCP. Familiarity with version control systems (e.g., Git). Understanding of MLOps concepts and pipelines (bonus) What's In It For You At FactSet, our people are our greatest asset, and our culture is our biggest competitive advantage. Being a FactSetter means: The opportunity to join an S&P 500 company with over 45 years of sustainable growth powered by the entrepreneurial spirit of a start-up. Support for your total well-being. This includes health, life, and disability insurance, as well as retirement savings plans and a discounted employee stock purchase program, plus paid time off for holidays, family leave, and company-wide wellness days. Flexible work accommodations. We value work/life harmony and offer our employees a range of accommodations to help them achieve success both at work and in their personal lives. A global community dedicated to volunteerism and sustainability, where collaboration is always encouraged, and individuality drives solutions. Career progression planning with dedicated time each month for learning and development. Business Resource Groups open to all employees that serve as a catalyst for connection, growth, and belonging. Learn More About Our Benefits Here. Salary is just one component of our compensation package and is based on several factors including but not limited to education, work experience, and certifications. Company Overview: FactSet (NYSE:FDS | NASDAQ:FDS) helps the financial community to see more, think bigger, and work better. Our digital platform and enterprise solutions deliver financial data, analytics, and open technology to more than 8,200 global clients, including over 200,000 individual users. Clients across the buy-side and sell-side, as well as wealth managers, private equity firms, and corporations, achieve more every day with our comprehensive and connected content, flexible next-generation workflow solutions, and client-centric specialized support. As a member of the S&P 500, we are committed to sustainable growth and have been recognized among the Best Places to Work in 2023 by Glassdoor as a Glassdoor Employees’ Choice Award winner. Learn more at www.factset.com and follow us on X and LinkedIn. At FactSet, we celebrate difference of thought, experience, and perspective. Qualified applicants will be considered for employment without regard to characteristics protected by law. Show more Show less

We are seeking a passionate and dedicated machine learning intern to join our team. As an intern, you will work closely with experienced data scientists and engineers to develop, test, and deploy machine learning models. This is an excellent opportunity to gain hands-on experience with cutting-edge technologies and contribute to real-world projects. Selected Intern's Day-to-day Responsibilities Include Collaborate with the team to collect, preprocess, and analyze datasets. Develop and train machine learning models for specific use cases. Evaluate model performance using appropriate metrics and improve accuracy and efficiency. Assist in deploying ML models into production environments. Document processes, findings, and insights throughout the project lifecycle. Stay updated on the latest trends and advancements in machine learning and AI. Qualifications Currently pursuing or recently completed a degree in computer science, data science, Machine Learning, or a related field. Strong knowledge of programming languages such as Python (preferred) or R. Familiarity with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. Basic understanding of supervised and unsupervised learning, NLP, or computer vision. Hands-on experience with data preprocessing and visualization libraries (e.g., Pandas, NumPy, Matplotlib). Problem-solving mindset and eagerness to learn new technologies. Preferred Skills Experience with SQL and working with databases. Knowledge of cloud platforms like AWS, Google Cloud, or Azure. Understanding of version control systems (e.g., Git). About Company: LineupX is a B2B company that streamlines talent acquisition in just 4 easy steps. Our solution integrates human and machine intelligence to deliver an unparalleled experience for organizations and individuals alike. The industry we aim to revolutionize is currently valued at $400 billion globally. LineupX utilizes technology-driven recruitment solutions, employing machine learning and human expertise to redefine global talent acquisition practices. LineupX is an early-stage startup with promising traction, supported by angel investments, and generating revenue. We have been recognized by SINE IIT Bombay as a high-potential startup and endorsed by Canqbate50, a Canada-based startup program aimed at identifying and funding the top 50 startups from India to establish operations in Canada. Show more Show less

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. What Primary Responsibilities: Business Knowledge: Capable of understanding the requirements for the entire project (not just own features) Capable of working closely with PMG during the design phase to drill down into detailed nuances of the requirements Has the ability and confidence to question the motivation behind certain requirements and work with PMG to refine them. Design: Can design and implement machine learning models and algorithms Can articulate and evaluate pros/cons of different AI/ML approaches Can generate cost estimates for model training and deployment Coding/Testing: Builds and optimizes machine learning pipelines Knows & brings in external ML frameworks and libraries Consistently avoids common pitfalls in model development and deployment How Quality: Solves cross-functional problems using data-driven approaches Identifies impacts/side effects of models outside of immediate scope of work Identifies cross-module issues related to data integration and model performance Identifies problems predictively using data analysis Productivity: Capable of working on multiple AI/ML projects simultaneously and context switching between them Process: Enforces process standards for model development and deployment. Independence: Acts independently to determine methods and procedures on new or special assignments Prioritizes large tasks and projects effectively Agility: Release Planning: Works with the PO to do high-level release commitment and estimation Works with PO on defining stories of appropriate size for model development Agile Maturity: Able to drive the team to achieve a high level of accomplishment on the committed stories for each iteration Shows Agile leadership qualities and leads by example WITH Team Work: Capable of working with development teams and identifying the right division of technical responsibility based on skill sets. Capable of working with external teams (e.g., Support, PO, etc.) that have significantly different technical skill sets and managing the discussions based on their needs Initiative: Capable of creating innovative AI/ML solutions that may include changes to requirements to create a better solution Capable of thinking outside-the-box to view the system as it should be rather than only how it is Proactively generates a continual stream of ideas and pushes to review and advance ideas if they make sense Takes initiative to learn how AI/ML technology is evolving outside the organization Takes initiative to learn how the system can be improved for the customers Should make problems open new doors for innovations Communication: Communicates complex AI/ML concepts internally with ease Accountability: Well versed in all areas of the AI/ML stack (data preprocessing, model training, evaluation, deployment, etc.) and aware of all components in play Leadership: Disagree without being disagreeable Use conflict as a way to drill deeper and arrive at better decisions Frequent mentorship Builds ad-hoc cross-department teams for specific projects or problems Can achieve broad scope 'buy in' across project teams and across departments Takes calculated risks Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications B.E/B.Tech/MCA/MSc/MTech (Minimum 16 years of formal education, Correspondence courses are not relevant) 5+ years of experience working on multiple layers of technology Experience deploying and maintaining ML models in production Experience in Agile teams Experience with one or more data-oriented workflow orchestration frameworks (Airflow, KubeFlow etc.) Working experience or good knowledge of cloud platforms (e.g., Azure, AWS, OCI) Ability to design, implement, and maintain CI/CD pipelines for MLOps and DevOps function Familiarity with traditional software monitoring, scaling, and quality management (QMS) Knowledge of model versioning and deployment using tools like MLflow, DVC, or similar platforms Familiarity with data versioning tools (Delta Lake, DVC, LakeFS, etc.) Demonstrate hands-on knowledge of OpenSource adoption and use cases Good understanding of Data/Information security Proficient in Data Structures, ML Algorithms, and ML lifecycle Product/Project/Program Related Tech Stack: Machine Learning Frameworks: Scikit-learn, TensorFlow, PyTorch Programming Languages: Python, R, Java Data Processing: Pandas, NumPy, Spark Visualization: Matplotlib, Seaborn, Plotly Familiarity with model versioning tools (MLFlow, etc.) Cloud Services: Azure ML, AWS SageMaker, Google Cloud AI GenAI: OpenAI, Langchain, RAG etc. Demonstrate good knowledge in Engineering Practices Demonstrates excellent problem-solving skills Proven excellent verbal, written, and interpersonal communication skills At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. Show more Show less

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. What Primary Responsibilities: Business Knowledge: Capable of understanding the requirements for the entire project (not just own features) Capable of working closely with PMG during the design phase to drill down into detailed nuances of the requirements Has the ability and confidence to question the motivation behind certain requirements and work with PMG to refine them. Design: Can design and implement machine learning models and algorithms Can articulate and evaluate pros/cons of different AI/ML approaches Can generate cost estimates for model training and deployment Coding/Testing: Builds and optimizes machine learning pipelines Knows & brings in external ML frameworks and libraries Consistently avoids common pitfalls in model development and deployment How Quality: Solves cross-functional problems using data-driven approaches Identifies impacts/side effects of models outside of immediate scope of work Identifies cross-module issues related to data integration and model performance Identifies problems predictively using data analysis Productivity: Capable of working on multiple AI/ML projects simultaneously and context switching between them Process: Enforces process standards for model development and deployment. Independence: Acts independently to determine methods and procedures on new or special assignments Prioritizes large tasks and projects effectively Agility: Release Planning: Works with the PO to do high-level release commitment and estimation Works with PO on defining stories of appropriate size for model development Agile Maturity: Able to drive the team to achieve a high level of accomplishment on the committed stories for each iteration Shows Agile leadership qualities and leads by example WITH Team Work: Capable of working with development teams and identifying the right division of technical responsibility based on skill sets. Capable of working with external teams (e.g., Support, PO, etc.) that have significantly different technical skill sets and managing the discussions based on their needs Initiative: Capable of creating innovative AI/ML solutions that may include changes to requirements to create a better solution Capable of thinking outside-the-box to view the system as it should be rather than only how it is Proactively generates a continual stream of ideas and pushes to review and advance ideas if they make sense Takes initiative to learn how AI/ML technology is evolving outside the organization Takes initiative to learn how the system can be improved for the customers Should make problems open new doors for innovations Communication: Communicates complex AI/ML concepts internally with ease Accountability: Well versed in all areas of the AI/ML stack (data preprocessing, model training, evaluation, deployment, etc.) and aware of all components in play Leadership: Disagree without being disagreeable Use conflict as a way to drill deeper and arrive at better decisions Frequent mentorship Builds ad-hoc cross-department teams for specific projects or problems Can achieve broad scope 'buy in' across project teams and across departments Takes calculated risks Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications B.E/B.Tech/MCA/MSc/MTech (Minimum 16 years of formal education, Correspondence courses are not relevant) 4+ years of experience working on multiple layers of technology Experience deploying and maintaining ML models in production Experience in Agile teams Experience with one or more data-oriented workflow orchestration frameworks (Airflow, KubeFlow etc.) Working experience or good knowledge of cloud platforms (e.g., Azure, AWS, OCI) Ability to design, implement, and maintain CI/CD pipelines for MLOps and DevOps function Familiarity with traditional software monitoring, scaling, and quality management (QMS) Knowledge of model versioning and deployment using tools like MLflow, DVC, or similar platforms Familiarity with data versioning tools (Delta Lake, DVC, LakeFS, etc.) Demonstrate hands-on knowledge of OpenSource adoption and use cases Good understanding of Data/Information security Proficient in Data Structures, ML Algorithms, and ML lifecycle Product/Project/Program Related Tech Stack: Machine Learning Frameworks: Scikit-learn, TensorFlow, PyTorch Programming Languages: Python, R, Java Data Processing: Pandas, NumPy, Spark Visualization: Matplotlib, Seaborn, Plotly Familiarity with model versioning tools (MLFlow, etc.) Cloud Services: Azure ML, AWS SageMaker, Google Cloud AI GenAI: OpenAI, Langchain, RAG etc. Demonstrate good knowledge in Engineering Practices Demonstrates excellent problem-solving skills Proven excellent verbal, written, and interpersonal communication skills At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. Show more Show less

About This Role The Senior Data Scientist in the Interaction Insights team will help in generating actionable insights for driving the creation of fact-based research from client interactions and other Gartner internal and external data assets. At the core we are looking for a person who is passionate about learning new technologies, text analytics, digging into rows of unstructured data, drawing recommendations & actionable insights, and using creative ways to visualize & interpret it for research. This person will have a flair of innovation along with a strong experience in Python, Data Science, NLP, Machine Learning, Deep Learning, LLMs and the analysis of unstructured data. They would be working closely with various stakeholders to explore opportunities to optimize data mining techniques and improve the accuracy of insights generated using NLP or various types of Machine Learning/Deep Learning/LLM models. What you will do: Execute large-scale, high-impact data science projects, translating research objectives into actionable data and insights from both internal and external data assets Provide ad hoc modeling and analytical insights to inform strategic and operational initiatives Analyze unstructured text data to discover insights and patterns using advanced data science techniques, including machine learning (ML) and natural language processing (NLP) Interpret data-driven patterns and insights in alignment with original business objectives Address critical business challenges by leveraging data science, ML, and NLP methodologies Interact with internal and external stakeholders to refine and enhance findings Collaborate as part of a team in a fast-paced environment, meeting strict SLAs and turnaround times Develop a deep understanding of the technology industry and maintain expertise in the data science domain Ensure delivery of high-quality data science solutions with a focus on accuracy and coverage Be accountable for the scalability, stability, and business adoption of data science solutions Maintain proper documentation and adhere to code reusability and best practices Take ownership of algorithms, including their ongoing enhancement and optimization to meet evolving business requirements Stay current with advancements in AI/ML models and technologies, and apply disruptive data science solutions as appropriate. Collaborate with engineering and product teams to launch MVPs and iterate quickly based on feedback Independently plan, drive and execute data science projects that deliver clear and measurable business value What you will need: Education - Master’s in engineering, Computer Science, Computer Applications, Statistics, Mathematics, Applied Mathematics, Computer Science with focus on AI or Data Science; BE/BTech or Bachelors (Comp. Sc./AI) with relevant experience Total experience - 7 to 10 years of which 5+ yrs as hands-on Data Science, AI/ML experience on real-world industry problems, with focus on Text Mining and Natural Language Processing/text analytics Advanced proficiency in Python and SQL, with experience using key data science libraries and tools (e.g., Pandas, Numpy, scikit-learn, TensorFlow, PyTorch, Spacy, NLTK, Scipy) Hands-on experience with machine learning, deep learning, NLP (including LLMs/GenAI), and applying these models to real-world business problems Strong background in data preparation, including cleaning, normalization, and handling unstructured text data for modeling Experience with cloud computing platforms such as AWS or Azure for model training, testing, and deployment Familiarity with both relational (e.g., Oracle) and NoSQL databases (e.g., MongoDB, graph databases), as well as distributed computing frameworks like Spark Proficiency in best coding practices and code/repo management using GitHub or Bitbucket Basic skills in Power BI, Excel, and PowerPoint Strong analytical, critical thinking, and problem-solving skills, with the ability to extract insights from complex and unstructured datasets Demonstrated ability to collaborate across product, engineering, and data science teams, and to influence stakeholders at all levels Excellent communication skills in both technical and business contexts Self-motivated, eager to learn, adaptable to feedback, and comfortable working in a fast-paced, milestone-driven environment What you will get: Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance, Parental Leave, Employee Assistance Program (EAP) and more! Collaborative, team-oriented culture that embraces diversity Professional development and unlimited growth opportunities Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective insight, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we’ve grown to more than 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our sustained success creates limitless opportunities for you to grow professionally and flourish personally. We have a vast, virtually untapped market potential ahead of us, providing you with an exciting trajectory long into the future. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work. What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to ApplicantAccommodations@gartner.com. Job Requisition ID:100853 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser. Show more Show less

Location: Gurugram, India (On-site/Hybrid) Type: Full-Time | 5+ Years Experience | AI & Product Engineering Hubnex Labs is seeking a highly skilled Machine Learning Engineer with strong capabilities in Full Stack Development to lead the development and deployment of production-grade AI systems. This role requires expertise in building end-to-end ML pipelines—from data preprocessing to deployment—while also contributing to the full stack of software platforms that power our solutions. Key Responsibilities Machine Learning & Data Science Understand business goals and translate them into ML-based solutions Develop, analyze, and compare machine learning algorithms for various problem statements Build robust validation strategies and design appropriate preprocessing and feature engineering pipelines Perform data exploration, visualization, and quality verification, including data cleaning and augmentation Train models, tune hyperparameters, and interpret model performance Analyze errors and design strategies to improve model robustness Discover and utilize public datasets for model training and benchmarking Deploy models into production environments with real-world performance and latency considerations Software & System Development Design and develop end-to-end production systems, including backend APIs and frontend interfaces Maintain full stack web applications, ensuring seamless ML model integration Ensure efficient use of hardware resources for training and inference Collaborate cross-functionally with engineering, product, and design teams Technical Skills Required 5+ years of hands-on experience in machine learning and full stack development Proficiency in Python and ML libraries like scikit-learn, pandas, NumPy, etc. Deep learning experience using TensorFlow, Keras, or equivalent frameworks Proficiency with OpenCV and image/video processing techniques Experience with data visualization tools and big data handling Strong understanding of data pipelines, feature engineering, and augmentation techniques Proficiency in Full Stack Web Development (e.g., React, Node.js, Express, MongoDB or similar) Experience deploying models using REST APIs, Flask/FastAPI, Docker, etc. Familiarity with Linux environments and GPU-accelerated compute systems Understanding of hardware requirements and optimization for real-time ML performance Why Join Hubnex Labs? Work on impactful AI products deployed in real-world use cases Be a part of a fast-growing tech consulting and product innovation company Collaborate with a diverse team of engineers, data scientists, and innovators Flexible and collaborative culture based in Gurugram, with hybrid work options Ideal Candidate Passionate about building smart systems that go live in production Can operate independently and take full ownership of ML products Blends deep technical skill with product thinking and business awareness Skills: data visualization,node.js,feature engineering,keras,python,flask,pandas,docker,rest apis,data,tensorflow,machine learning,express,linux,full stack development,big data handling,react,fastapi,numpy,mongodb,opencv,models,scikit-learn Show more Show less

Location: Gurugram, India (On-site/Hybrid) Type: Full-Time | 4+ Years Experience | AI, Architecture & Product Engineering Hubnex Labs is seeking a visionary and hands-on Full Stack Data Science Architect to lead the development of scalable AI products and reusable intellectual property (IP) that power data-driven solutions across global enterprise clients. This role requires deep technical expertise in AI/ML, data architecture, backend/frontend systems, and cloud-native technologies. Key Responsibilities AI & Data Science Leadership Lead design and development of end-to-end AI/ML solutions across enterprise applications Architect data pipelines, model training, validation, and deployment workflows Apply cutting-edge techniques in NLP, Computer Vision, Speech Recognition, Reinforcement Learning, etc. Evaluate and rank algorithms based on business impact, accuracy, and scalability Design and optimize data augmentation, preprocessing, and feature engineering pipelines Train, validate, and fine-tune models using state-of-the-art tools and strategies Monitor and improve model performance post-deployment Full Stack & Cloud Architecture Design and implement cloud-native systems using microservices, serverless, and event-driven architectures Build robust APIs and UIs for intelligent applications (using Python, Node.js, React, etc.) Use Docker, Kubernetes, and CI/CD pipelines for scalable deployment Leverage technologies like Kafka, TensorFlow, Elixir, Golang, and NoSQL/Graph DBs for high-performance ML products Define infrastructure to meet latency and throughput goals for ML systems in production Innovation & Productization Build reusable IP that can be adapted across industries and clients Rapidly prototype AI features and user-facing applications for demos and validation Collaborate closely with product managers and business stakeholders to translate use cases into scalable tech Explore and adopt new technologies and frameworks to maintain a forward-looking tech stack Required Skills & Experience 4+ years of experience building and deploying AI/ML models and scalable software systems Strong understanding of ML frameworks (TensorFlow, Keras, PyTorch), data libraries (pandas, NumPy), and model tuning Proven track record of working with large-scale data, data cleaning, and visualization Expertise in Python, and experience with at least one other language (Go, Java, Scala, etc.) Experience with front-end frameworks (React, Vue, or Angular) is a plus Proficient in DevOps practices, CI/CD, and cloud platforms (AWS/GCP/Azure) Familiarity with event-driven systems, real-time protocols (WebSockets, MQTT), and container orchestration Hands-on experience with NoSQL databases, data lakes, or distributed data platforms Preferred Traits Experience leading agile engineering teams and mentoring junior developers Strong architectural thinking, with an eye on scalability, maintainability, and performance Entrepreneurial mindset with a focus on building reusable components and IP Excellent communication skills, capable of bridging business and technical conversations Why Join Hubnex Labs? Own and architect impactful AI products used across industries Shape the data science foundation of a fast-scaling software consulting powerhouse Enjoy a creative, high-performance environment in Gurugram, with flexibility and long-term growth opportunities Contribute to next-gen solutions in AI, cloud, and digital transformation Skills: gcp,node.js,ci/cd,data architecture,reinforcement learning,cloud-native technologies,mqtt,architecture,kubernetes,numpy,devops,cloud,data,pytorch,golang,keras,speech recognition,azure,data science,nlp,kafka,tensorflow,aws,pandas,docker,ai/ml,nosql,react,python,design,computer vision,websockets,graph dbs,elixir Show more Show less

Python, NumPy, Pandas, Rest API Strong in Data Engineering and Analysis, SQL Server (Complex SQL) This is hands on role. The role will involve design, coding, testing, working with product owners / scrum master for scrum planning, estimation, demos & leading guiding junior developers as needed. Years of experience 6 to 10 years Mandatory tech skills - Python, NumPy, Pandas, Strong in Data Engineering and Analysis, SQL Server Good in writing Python code. Hands-on experience with pandas and NumPy stack Able to perform data cleanup. Summarization using NumPy/pandas. SQL knowledge is Essential. Must have expertise in Rest API development Cloud experience is preferred (Azure). Uses pertinent data and facts to identify and solve a range of problems within area of expertise Do Oversee and support process by reviewing daily transactions on performance parameters Review performance dashboard and the scores for the team Support the team in improving performance parameters by providing technical support and process guidance Record, track, and document all queries received, problem-solving steps taken and total successful and unsuccessful resolutions Ensure standard processes and procedures are followed to resolve all client queries Resolve client queries as per the SLAs defined in the contract Develop understanding of process/ product for the team members to facilitate better client interaction and troubleshooting Document and analyze call logs to spot most occurring trends to prevent future problems Identify red flags and escalate serious client issues to Team leader in cases of untimely resolution Ensure all product information and disclosures are given to clients before and after the call/email requests Avoids legal challenges by monitoring compliance with service agreement Handle technical escalations through effective diagnosis and troubleshooting of client queries Manage and resolve technical roadblocks/ escalations as per SLA and quality requirements If unable to resolve the issues, timely escalate the issues to TA & SES Provide product support and resolution to clients by performing a question diagnosis while guiding users through step-by-step solutions Troubleshoot all client queries in a user-friendly, courteous and professional manner Offer alternative solutions to clients (where appropriate) with the objective of retaining customers and clients business Organize ideas and effectively communicate oral messages appropriate to listeners and situations Follow up and make scheduled call backs to customers to record feedback and ensure compliance to contract SLAs Build people capability to ensure operational excellence and maintain superior customer service levels of the existing account/client Mentor and guide Production Specialists on improving technical knowledge Collate trainings to be conducted as triage to bridge the skill gaps identified through interviews with the Production Specialist Develop and conduct trainings (Triages) within products for production specialist as per target Inform client about the triages being conducted Undertake product trainings to stay current with product features, changes and updates Enroll in product specific and any other trainings per client requirements/recommendations Identify and document most common problems and recommend appropriate resolutions to the team Update job knowledge by participating in self learning opportunities and maintaining personal networks Deliver No Performance Parameter Measure 1 ProcessNo. of cases resolved per day, compliance to process and quality standards, meeting process level SLAs, Pulse score, Customer feedback, NSAT/ ESAT 2 Team ManagementProductivity, efficiency, absenteeism 3 Capability developmentTriages completed, Technical Test performance

About The Role Mandatory SkillGen AI, LLM, GPT-3, RAG, Lang chain, Llama, AI/ML, DL, NLP or Computer Vision, Python, Tensorflow, Pytorch, Django, Keras, Pandas, NumPy Preferred SkillAWS or GCP or Azure Cloud, MLOps, GPT-4, SQL, Scikit-learn, Matplotlib, Seaborn, Hadoop, Spark, or Apache Flink, Banking exposure Required Skill Programming LanguagesProficiency in Python, R, or Java. Experience with libraries and frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn, etc. Machine LearningStrong understanding of machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and deep learning. Data ScienceExperience with data analysis, data visualization, and statistical modeling. Proficiency in using tools like Pandas, NumPy, Matplotlib, and Seaborn. Big Data TechnologiesFamiliarity with big data processing frameworks like Hadoop, Spark, or Apache Flink. Cloud PlatformsExperience with cloud services such as AWS, Google Cloud, or Azure for deploying AI solutions. Natural Language Processing (NLP)Knowledge of NLP techniques and tools such as NLTK, SpaCy, or GPT-3. Computer VisionExperience with computer vision techniques and libraries such as OpenCV, YOLO, or Fast R-CNN. Problem-SolvingStrong analytical and problem-solving skills with the ability to think critically and creatively. CommunicationExcellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Team CollaborationAbility to work effectively in a collaborative team environment and contribute to team success. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Job Description Job Description The ideal candidate would be adept at understanding customer's business challenges and defineappropriate analytics approach to design solution The ideal candidate should possess good communication and project management skills and can communicate effectively with a wide range of audiences, both technical and business Ability to accurately comprehend business requirements and being able to translate technical results into easily understood business outcomes The person should also be able to efficiently work with, or manage, an offshore team to produce outcomes in a timely manner. Previous experience working with the current offshore team would be really beneficial. The person should be competent in Python (Pandas, NumPy, scikit-learn etc.), possess high levels of analytical skills and have experience in the creation and/or evaluation of predictive models. Ideal candidate should have hands on experience using Machine Learning Techniques They should also have data extraction capabilities (SQL) and/or be able to understand and evaluate code relevant to data extraction Good knowledge of model development/data engineering experience using Python and R He / She would be responsible for creating Presentations, reports etc to present theanalysis findings to the end clients/stakeholders Should possess the ability to confidently socialize business recommendations and enable customer organization to implement such recommendations. Ideal candidate should be able to drive customer engagement and always exhibit thought leadership and provide value add Technical Experience (using Python):o Hands on experience in developing models (end to end) Logistic regression Clustering  Decision Tree Random Forest Support Vector Machine Naïve Bayes Gradient Boosting Machine Deep learning Natural Language Processingo Tools Python (mandatory), R (preferred) Experience processing large amount of data using BigData technologies is preferred Knowledge of any of the visualization tools like Tableau, R Shiny etc. is a plus Functional/Domain Experience:o Good exposure to Insurance domain Certifications/Analytics competitionso Recognized certifications in analytics technologies o Participations/solving Kaggle competitions Qualifications Educational Qualification:o Masters in Statistics/Mathematics/Economics/Econometrics from Tier 1 institutions Or BE/B-Tech, MCA or MBA from Tier 1 institutions Relevant Experience: o 8+ years of hands on experience in executing analytics projects Show more Show less

FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions. At FactSet, our values are the foundation of everything we do. They express how we act and operate, serve as a compass in our decision-making, and play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients’ needs and exceeding their expectations. About Factset FactSet is a leader in providing research and analytical tools to finance professionals. FactSet offers instant access to accurate financial data and analytics around the world. FactSet combines hundreds of databases from industry-leading suppliers into a single powerful information system. FactSet’s product suite of smart analytics and unique data empower the world’s leading financial service professionals to make more informed decisions every day. At our heart is an inclusive community unified by the spirit of going above and beyond. Our philosophy is to embrace diversity, and that our best ideas can come from anyone, anywhere, at any time. We continuously look ahead to advance the future and technology of our industry, by rolling up our sleeves to solve tough problems together, and by learning from our successes, as well as our failures. Being a software engineer at FactSet is to shape the future of investments technology. Our engineers use cutting edge technologies including machine learning, natural language processing, predictive analysis, and cloud computing to solve some of the investment community’s greatest challenges – relying every step of the way on some of our most creative minds to create sleek and intuitive UIs that make our products among the industry’s easiest to use. Job Responsibilities FactSet is seeking for a Python Developer along with experienced AWS Developer to join our engineering team responsible for making our product more scalable and reliable. Deliver high quality, re-usable and maintainable code, perform Unit / Integration Testing of assigned tasks with in the estimated timelines. Build robust infrastructure in AWS appropriate to respective component of product Proactive in providing Technical solutions with effective communication & collaboration skills. Perform Code Reviews and ensure best practices are followed. Work in agile team environment and collaborate with internal teams to ensure smooth product delivery. Ownership on end-end product & Individual contribution. Ensure high stability of product. Continuous Knowledge sharing internal & external of Team. Job Requirements Bachelor or master’s degree in computer science 5-8 years of Total experience. Minimum 5 year of experience in Python development. Minimum of 2 years working experience in Linux/Unix environments Strong analytical and problem-solving skills. Strong experience and proficiency with Python, Pandas, Numpy. Experience with AWS components. Experience with Github-based development processes Excellent written and verbal communication skills. Organized, self-directed, and resourceful with the ability to appropriately prioritize work in a fast-paced environment Good to have skills: Familiar with Agile software development (Scrum is a plus). Experience in front end development Experience in database development Experience in C++ development Exposure on design patterns Diversity: At FactSet, we celebrate diversity of thought, experience, and perspective. We are committed to disrupting bias and a transparent hiring process. All qualified applicants will be considered for employment regardless of race, color, ancestry, ethnicity, religion, sex, national origin, gender expression, sexual orientation, age, citizenship, marital status, disability, gender identity, family status or veteran status. FactSet participates in E-Verify. Return to Work: Returning from a break? We are here to support you! If you have taken time out of the workforce and are looking to return, we encourage you to apply and chat with our recruiters about our available support to help you relaunch your career. Company Overview: FactSet (NYSE:FDS | NASDAQ:FDS) helps the financial community to see more, think bigger, and work better. Our digital platform and enterprise solutions deliver financial data, analytics, and open technology to more than 8,200 global clients, including over 200,000 individual users. Clients across the buy-side and sell-side, as well as wealth managers, private equity firms, and corporations, achieve more every day with our comprehensive and connected content, flexible next-generation workflow solutions, and client-centric specialized support. As a member of the S&P 500, we are committed to sustainable growth and have been recognized among the Best Places to Work in 2023 by Glassdoor as a Glassdoor Employees’ Choice Award winner. Learn more at www.factset.com and follow us on X and LinkedIn. At FactSet, we celebrate difference of thought, experience, and perspective. Qualified applicants will be considered for employment without regard to characteristics protected by law. Show more Show less