3878 R Jobs - Page 12

You will be joining a leading AI-driven Global Supply Chain Solutions Software Product Company, recognized as one of Glassdoor's Best Places to Work. As a Data Science Consultant in our Supply Chain Management team, your primary responsibility will be to utilize data-driven insights for optimizing supply chain processes, enhancing decision-making, and achieving business results. Collaborating with cross-functional teams, you will employ advanced data analytics, machine learning, and optimization techniques to improve supply chain efficiency, forecast demand, and address complex operational challenges. Your key responsibilities will include: - Conducting Data Analysis & Modeling: Analyze large, complex datasets related to demand forecasting and supply planning to extract actionable insights. - Implementing Machine Learning Techniques: Apply statistical and machine learning methods to forecast demand, involving data ingestion, visualization, feature engineering, model configuration, fine-tuning, and clear presentation of results. - Utilizing Supply Chain Optimization Algorithms: Deploy optimization algorithms to enhance supply chain efficiency, reduce costs, and improve service levels. - Providing Consulting & Advisory Support: Serve as a subject matter expert in supply chain analytics, offering guidance on best practices and strategies for effective supply chain management. - Driving Process Improvement: Identify inefficiencies within the supply chain and propose data-driven strategies for continuous enhancement. We are looking for candidates with the following qualifications: - Educational Background: Bachelors or Masters degree in Data Science, Computer Science, Industrial Engineering, Operations Research, Supply Chain Management, or a related field. - Experience: 5-12 years of experience in data science or Supply Chain Operations Analytics, with a focus on forecasting projects utilizing statistical/ML models and data visualization tools. - Technical Skills: Proficiency in data science tools and programming languages such as Python, R, SQL, along with experience in supply chain management platforms/processes. Strong applied statistics skills are required. - Machine Learning Expertise: Hands-on experience with machine learning techniques/algorithms (e.g., regression, classification, clustering) and optimization models. - Industry Knowledge: Familiarity with supply chain processes like demand forecasting, inventory management, procurement, logistics, and distribution. - Analytical Thinking: Strong problem-solving abilities to analyze complex data sets and translate insights into actionable recommendations. - Personal Competencies: Ability to work independently or as part of a team in a consulting environment, attention to detail in managing large data sets, and effective communication skills for presenting findings to non-technical stakeholders. If you resonate with our core values and are passionate about fostering diversity, inclusion, value, and equity, we invite you to be a part of our team at Blue Yonder. Explore our Diversity Report and join us in celebrating the differences that make us stronger together.,

You will be joining a global team within Analytics & Information Management (AIM) at Citi, where the focus is on driving data-driven transformation across various functions to provide actionable intelligence for business leaders. As part of this fast-growing organization, you will collaborate with Citi businesses and functions worldwide. Your role as a Client Remediation Data Analyst will involve managing a professional team to integrate subject matter expertise within a specific area. You will be responsible for setting standards for operational processes and developing a deep understanding of how different areas interact within the sub-function. Effective communication and diplomacy skills will be essential for guiding and influencing colleagues across various departments and regulatory bodies. Your responsibilities will include overseeing the volume, quality, timeliness, and delivery of results within your area, as well as contributing to short-term resource planning. In addition, you will play a key role as a Data/Information Management Intermediate Analyst, leveraging your expertise to solve complex problems and integrate specialized knowledge with industry best practices. Your analytical skills will be crucial in interpreting data, identifying issues, and providing valuable insights to support decision-making processes. Collaboration and effective communication will be vital as you work closely with cross-functional teams to analyze client populations and address remediation issues. As part of the CRX team, you will focus on analyzing customer remediation issues for various lines of business within the NAM region, including Cards, Retail Bank, Mortgage, and Ops. Your tasks will involve executing data remediation approaches, assessing the impact on customers and financial outcomes, conducting root cause analysis, and providing support for audit processes. By delivering routine outputs while expanding your knowledge of the broader context, you will contribute to the team's success and uphold Citi's reputation by ensuring compliance with relevant laws and regulations. To excel in this role, you should have at least 5-8 years of relevant experience, strategic thinking abilities, and proficiency in analytic tools such as SAS E-miner, SPSS, and knowledge of tools like R and Python. Familiarity with business analysis, data analysis, and platforms like SAS, SQL, RDBMS, as well as domain knowledge in banking and consumer products, will be advantageous. A Bachelor's or equivalent degree, along with experience in the banking industry, will be beneficial for this position in Decision Management at Citi. This full-time position requires a hybrid working model with a minimum of 3 days in the office per week, following CITI's HWW policy, and adhering to regular local working hours aligned with NAM schedules. Your dedication to excellence and commitment to upholding Citi's standards will play a crucial role in your success within the team. Please note that this job description offers a comprehensive overview of the role's responsibilities and requirements, with additional duties assigned as needed.,

At Oracle Cloud Infrastructure (OCI), the future of cloud computing for Enterprises is being shaped by a diverse team of creators and innovators. Acting with the speed and mentality of a start-up, we maintain the scale and customer-focus of the world's leading enterprise software company. Our values form the bedrock of OCI, guiding us towards achieving excellence. We are dedicated to equity, inclusion, and respect for all individuals. Committed to the greater good in both our products and actions, we prioritize continuous learning and personal growth opportunities. Within our team, we challenge each other to transcend past achievements and collectively build a better future. As part of the AI Data organization, you will engage with fascinating challenges at the convergence of artificial intelligence and cutting-edge cloud infrastructure. Our focus involves developing cloud services utilizing Large Language Models (LLMs) and other generative models to create synthetic data for various applications including text, speech, vision, and multi-modal scenarios. Additionally, we are establishing ML benchmarking standards and frameworks to ensure the highest quality across verticals such as Healthcare and Fusion. You will operate at the IC2/IC3 career level with the following responsibilities: - Design and construct world-class Generative AI Models in text, vision, and multimodal settings for generating synthetic data. - Research and implement cutting-edge techniques such as Fine-tuning and RLHF to align Generative models with specific problem domains. - Develop tools for data acquisition, cleaning, augmentation, model training, and visualization. - Evaluate and implement ML/Deep learning/GenAI models from research papers and other public resources. - Optimize models for production usage and assist in productizing generation scenarios. - Create production code for feature processing, model prediction, serving, and monitoring in real-time and batch scenarios. - Engage in the entire software lifecycle including development, testing, CI, and production operations. - Strike a balance between product feature development and production operational considerations. Minimum Qualifications for this role include: - Ph.D. degree or Masters degree or equivalent experience in computer science, artificial intelligence, machine learning, operations research, or related technical field. - 5+ years with Masters or 3+ years with PhD of applying machine learning to solve real-world problems in industry. - Proficiency in Python or R. - Proficiency with at least one deep learning library (Pytorch, Tensorflow, or Keras) for building and deploying DNN models in production. - Expertise in NLP, Transformers, Large Language Models, and hugging face library. Optimization of LLM training and serving. - Experience in statistical models, Machine Learning solutions, and large scale Deep learning model development and serving across different data domains. - Proficiency in traditional ML libraries like scikit-learn, statsmodels, and pandas. - Track record of delivering large-scale ML solutions for complex business challenges. - Experience in production operations and ensuring quality code deployment with the ability to troubleshoot issues effectively. - Strong communication skills for articulating technical ideas through verbal and written means. At Oracle, we are committed to fostering an inclusive workforce that values diverse perspectives and backgrounds. Our dedication to innovation is fueled by hearing every voice, inspiring us to surpass previous achievements. Operating with integrity for over 40 years, we collaborate with industry leaders across various sectors. We prioritize work-life balance through a competitive suite of employee benefits designed on the principles of fairness and consistency. Our comprehensive benefits package includes flexible medical, life insurance, and retirement options. Employees are encouraged to contribute to their communities through volunteer programs. We are devoted to integrating individuals with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation due to a disability, please contact us at +1 888 404 2494, option one. Disclaimer: Oracle is an Equal Opportunity Employer in the United States.,

As a CONTROL TOWER MANAGER - Operations at India's Fastest Growing Q Commence Company, you are expected to have a minimum of 3+ years of experience and will be based in Bangalore. Your technical skills should include expertise in SQL, Excel, and scripting languages such as R and Python. Additionally, experience with BI tools like Power BI, Tableau, Qlikview, and Google Data Studio will be considered a plus. In this role, you will collaborate with customer support teams to enhance the customer experience, reduce contacts, and streamline operations for increased efficiency. You will also work closely with tech-product teams to develop sustainable analytical or business products. Your responsibilities will involve modeling data to establish reporting infrastructure and dashboards for business process management and data mining. You will be required to closely collaborate with business and product teams to facilitate data-driven decision-making. Furthermore, conducting quantitative analysis to derive actionable insights, promoting data-driven decision-making processes among stakeholders, identifying new business opportunities through data analysis, and encouraging innovative solutions to business problems within your team will be part of your duties.,

The main objective of the job is to provide methodological, research, and evidence-based support to Arpan's Programme monitoring and evaluation design, implementation, analysis, reporting, and dissemination. As part of the role, you will lead internal and external research projects independently, design and pilot quantitative surveys, conduct advanced data analysis using statistical software packages, develop monitoring and evaluation strategies, engage with external research agencies, perform data quality checks, write high-quality reports, conduct literature reviews, and support the current research team. Additionally, you will be responsible for undertaking administrative duties related to Arpan's RME projects. The ideal candidate should possess at least a Master's degree in developmental, statistical, or population studies with graduate-level coursework on econometrics, impact evaluation, and economic development. In terms of experience, you should have demonstrated expertise in quantitative research methods and data analysis, proficiency with relevant software tools such as R, Stata, and Survey CTO, and experience in experimental or quasi-experimental research studies. Experience in mixed methods and qualitative research is preferred, along with the ability to communicate project evaluations effectively to various audiences. Key qualifications for this role include the ability to conduct literature searches, summarize complex academic papers, speak the language of researchers and project management specialists, and deliver high-quality evaluations within budget and timeline constraints. Strong presentation skills, both verbal and written, are essential for this position. The location for this job is Mumbai, and the salary range will be as per market standards.,

Optum is a global organization dedicated to improving health outcomes by leveraging technology to connect individuals with the care, pharmacy benefits, data, and resources necessary for optimal well-being. As part of our team, you will contribute to advancing health equity on a global scale while experiencing a culture that values diversity, inclusion, and professional growth opportunities. We invite you to join us in making a positive impact on the communities we serve through caring, connecting, and growing together. In this role, you will lead the development and implementation of advanced Natural Language Processing (NLP) models and other data-driven AI systems. Your responsibilities will include conducting thorough data analysis, designing intricate machine learning models, and algorithms to derive insights from both structured and unstructured data. Collaboration with cross-functional teams will be essential in deploying these models, monitoring outcomes, and making necessary adjustments based on performance metrics. You will be tasked with preparing detailed reports and technical papers outlining data analysis findings in a clear and concise manner for various stakeholders. Additionally, overseeing data extraction, validation, and summarization processes will be crucial, along with effectively communicating updates and insights to stakeholders in a timely fashion. Your ability to identify potential issues or discrepancies in data analysis or modeling, report them to relevant parties, and ensure prompt resolution will be key to success in this role. Furthermore, compliance with employment contract terms, company policies, and procedures is expected. This includes adhering to directives related to potential work location changes, team reassignments, shift modifications, flexible work benefits, and other business environment adjustments. The Company reserves the right to modify or revoke these policies and directives at its discretion. To qualify for this position, you should hold a degree in a field emphasizing data science or statistical techniques, such as Computer Science or Applied Mathematics, with a focus on Natural Language Processing. A minimum of 3-4 years of experience in Data Science specializing in Machine Learning and NLP is required. Proficiency in Python, R, SQL, and NLP libraries like NLTK, SpaCy, and BERT is essential. Strong communication skills, adaptability to varying shifts, and the ability to present complex data in different formats are also necessary. Leadership capabilities, meeting deadlines, problem-solving skills, and an analytical mindset are attributes that will be valued in this role. This position is based in Mumbai, Maharashtra, India.,

Oliver Wyman is a global leader in management consulting with offices in 70 cities across 30 countries. Combining deep industry knowledge with specialized expertise in strategy, finance, operations, technology, risk management, and organizational transformation, our team of 6000+ professionals helps clients optimize their business, improve IT, operations, and risk profile, and accelerate organizational performance. We challenge conventional thinking, consistently deliver innovative solutions, and have a tangible impact on clients" top and bottom lines. Our clients are the CEOs and executive teams of the top global 1000 companies. Oliver Wyman is a business of Marsh McLennan [NYSE: MMC]. At Oliver Wyman DNA in Gurugram, India, we partner with clients to solve tough strategic business challenges using analytics, technology, and industry expertise. Our goal is to achieve lasting results in collaboration with clients and stakeholders, driving digital transformation, creating customer-focused solutions, and optimizing operations for the future. We value personal and professional growth opportunities and aim to deliver impact globally as an entrepreneurial team. Our mission is to leverage India's high-quality talent to provide exceptional analytics-driven management consulting services that empower clients globally. By working alongside Oliver Wyman consulting teams, we aim to achieve sustainable growth and drive meaningful impact for our global client base. Our purpose is to bring together a diverse team of highest-quality talent equipped with innovative analytical tools to build long-lasting partnerships with clients based on trust, mutual respect, and a commitment to deliver results. We have open positions ranging from Associate Data Scientist to Director, providing talented professionals with excellent career and growth opportunities. We seek individuals with relevant experience in quantitatively intense areas to join our team. In the data scientist track, you will be responsible for managing and delivering analytics projects, designing analytics solutions, crafting models, and driving scalable high-quality solutions across industries. Your responsibilities include working with global clients, exploring large-scale data, shaping proposals, refining model insights, leading the development of statistical techniques and ML algorithms, and staying updated on emerging data science techniques. To be successful in this role, you should have a Bachelor's or Master's degree in a quantitative discipline, prior experience in data science and analytics, a passion for problem-solving through big data, impactful presentation skills, excellent communication skills, willingness to travel, and proficiency in modern programming languages and machine learning frameworks. You should also have a solid foundational knowledge of mathematical and statistical principles, familiarity with cloud storage and computational frameworks, and a collaborative team player mindset with respect for confidentiality. The interview process will include testing technical proficiency, case study, and team-fit interviews. If you are interested in joining our team, please include a brief note introducing yourself, what you're looking for in the role, and your potential value-add to our team. We are hiring for data and analytics roles across the levels from Associate Data Scientist to Director level for experience ranging from 0-15 years. In addition to the base salary, this position may be eligible for performance-based incentives, and we offer a competitive total rewards package including comprehensive health and welfare benefits.,

An exciting opportunity awaits you as an associate data scientist at Argus Media in Mumbai. Join our expanding Data Science team and collaborate with fellow data scientists, guided by the Head of Data Science India and our global teams. Your primary responsibility will be to support the development of new analytics products, with a specific focus on Petrochemicals. Your role will involve building impactful data science solutions for various business use cases. This will entail conducting research on large, complex data sets to identify meaningful patterns, and utilizing mathematical and computational techniques to clean, manipulate, organize, and model data for actionable insights. You will apply innovative data science, machine learning, and statistical techniques to provide unbiased and quantitative solutions to critical business problems. As an integral part of the team, you will develop, structure, and explore ideas by formulating hypotheses, conducting rigorous testing, performing analyses, creating user prototypes, facilitating UAT, and presenting recommendations for enhancing current business processes. Additionally, you will design user-centric data science/analytics products based on unique business use cases for both internal and external stakeholders, focusing on commodity price dynamics. Key qualifications for this role include a degree in mathematics, finance, statistics, engineering, computer science, or a related field. Preference will be given to candidates with experience in statistics, regression, time series, and econometrics. You should possess 1-2 years of hands-on experience with R and R-Shiny, along with a strong command of SQL and a dedication to open-source solutions. Familiarity with APIs, ETL processes, testing methodologies, exploratory data analysis, and data visualization is essential. We are seeking individuals with a solution-oriented mindset, self-direction, and experience in using version control software. It is crucial that you align with Argus values, including Passion, Integrity, Excellence, and Results. If you are passionate about AI/Machine Learning, proficient in statistics, and skilled in SQL, this role offers an exciting opportunity to contribute to the dynamic field of data science.,

As a Senior Analytics Business Partner at Adobe, you will play a crucial role in Adobes Employee Experience organization, with a primary focus on India while also engaging in global projects and partnerships. Your responsibilities will include building and owning relationships with stakeholders, serving as their main point of contact to the People Analytics team. You will consult with HRBPs, HR COEs, & leaders across the business to develop a deep understanding of current business priorities and ensure that reporting and analysis align with those objectives. As a thought partner to HRBPs and other leaders, you will conduct analyses and literature reviews to provide insights on key business and people questions. Leveraging academic and industry research, analytics, and knowledge of HR trends, you will address practical business challenges and communicate priority HR initiatives and business context to the rest of the team. Your role will involve authoring presentations and communicating insights that drive action and positive impact. You will champion proper data handling to maintain privacy & confidentiality standards, conduct ad-hoc analytical deep dives on complex data, and present findings to non-analytical audiences in a way that drives impact and decision making. Additionally, you will explore, prototype, and iterate on insights from internal data and research and collaborate with research, data science, and business intelligence members of the People Analytics team on complex analyses, modeling, and data transformation. To succeed in this role, you should have a minimum of 10 years of experience working in HR and/or consulting to organizations, with at least 5 years in people analytics. Expertise in I/O psychology or a related field is required. You should possess statistical and analytical proficiency, be adept at storytelling with data and research, and have a strong business acumen. A solid understanding of the HR landscape, functions, processes, challenges, and best practices is essential. You should have excellent ability to influence and build strong relationships with stakeholders, with proficiency in Python or R skills preferred but not essential. An HR Analytics Certification would be an added advantage. Adobe is committed to creating exceptional employee experiences and values diversity and inclusivity in the workplace. If you have a disability or special need that requires accommodation, please contact accommodations@adobe.com or call (408) 536-3015. Adobe also upholds policies to ensure a free and open marketplace for all employees, prohibiting illegal agreements with other companies regarding recruitment or hiring practices.,

The Data Analyst provides analytics and decision support at a corporate level, assisting the executive staff and finance community. You will work on a team responsible for a shared reporting & analytics infrastructure and directly provide reporting, analysis, and insights to the executive teams. Leveraging various tools & analytical capabilities, you will support analysis across different functional areas of the business and their impacts on company financial performance. Gathering/developing required datasets, applying different techniques to analyze/test business hypotheses, and summarizing findings with clear data/method driven substantiation are key responsibilities. Accessing and integrating information/data from various sources into a structured environment for analytics and reporting is essential. Developing, maintaining, and tuning complex databases to ensure data availability and integrity, as well as automating integrations between data sources and processes to expedite information availability, consistency in results, and minimize costs are part of the role. Performing and documenting detailed root cause analyses, investigating and isolating issues in the code base and outlier data affecting key performance metrics are critical tasks. Developing and automating standardized reporting delivery for Executive level presentations or distribution to end users is required. Using a variety of analytical techniques to discover, identify, and conclude analysis reactively to leadership requests and proactively based on curiosity/desire to move the business forward is important. Defining and documenting core business metrics, definitions, and logic by collaborating with business teams, delivering analysis and findings to leadership and business teams, and staying updated on developments in technology, business intelligence, data warehousing, and emerging technologies are key responsibilities. Technical Qualifications: - Ability to extract and integrate data using technologies such as SQL, Snowflake, ODBC, ETL Tools, Oracle, DB2, MS Access - Familiarity with reporting/analytical apps including Oracle BI, Power BI, Tableau, SAS, Cognos, Bus Objects - Ability to automate reporting/analysis and operational processes using Python, R - Presenting information and responding to questions from senior management, department heads, and Finance/IT/Business teams - Attention to quality, reconciliation, and accuracy is crucial due to the audience often being executive level staff Education and Experience: - Bachelor's degree in computer science, Engineering, Business, or related field required (Master's in Analytics or Mathematics a plus) - 2-5 years of systems/business analysis experience; or equivalent combination of education and experience.,

At EY, you will have the opportunity to shape a career that aligns with your unique qualities, leveraging our global reach, supportive environment, inclusive culture, and cutting-edge technology to empower you to reach your full potential. Your distinctive voice and perspective are essential in contributing to EY's continuous improvement. By joining us, you will not only create an exceptional journey for yourself but also contribute to building a better working world for all. As a Senior Developer with 3 to 5 years of overall experience and at least 3 years of relevant experience, you will assume the role of a Technical Lead specializing in Artificial Intelligence (AI) and Machine Learning (ML) solutions. Your responsibilities will include designing and implementing innovative solutions based on AI and ML technologies. In this role, you will lead a team of Junior Developers, providing guidance and expertise gained from your 3+ years of experience in service delivery. You will be tasked with designing technical specifications for projects involving AI, Machine Learning, Deep Learning, NLP, NLU, and NLG. Furthermore, you will contribute to the development of products and tools utilizing AI technologies to deliver high-value solutions. Your expertise will encompass a range of AI and ML techniques, including deep learning, computer vision, natural language processing, search algorithms, information retrieval, information extraction, probabilistic graphical models, and machine learning. Additionally, you will be responsible for implementing version control strategies and defining best practices for software development. To excel in this role, you must possess excellent computer skills, proficiency in Excel, PowerPoint, Word, and Outlook, as well as strong interpersonal and collaborative abilities. Your command of the English language, both verbal and written, will be crucial in effectively communicating and analyzing solutions to complex problems. Your key responsibilities will include creating technical designs for AI and ML projects, demonstrating a solid understanding of deep learning architectures and algorithms, and leveraging open-source libraries such as Keras, TensorFlow, and PyTorch. You will collaborate with business analysts and consultants to develop robust solutions, utilizing your expertise in data science and machine learning using Python and R. Moreover, your role will involve training and leading technical developers, designing applications using Microsoft technologies like ASP.Net, C#, HTML5, and MVC, leveraging cloud solutions such as Azure or AWS, and working with container technologies like Docker. Your ability to work effectively with global teams and build strong relationships with project stakeholders will be critical to your success. At EY, we are dedicated to building a better working world by creating long-term value for clients, fostering trust in the capital markets, and driving growth and transformation through data and technology. Join our diverse teams across 150 countries as we tackle complex global challenges with innovative solutions and a commitment to asking better questions to find new answers.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. We are counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, contributing to a better working world for all. EY GDS Risk Consulting is a distinct industry-focused business unit offering a wide range of integrated services that combine deep industry experience with robust functional capability and product knowledge. The MENA Financial Services Risk Management (FSRM) team at EY GDS Risk Consulting Practice provides tailored risk solutions to assist clients in identifying, assessing, managing, and monitoring various financial and regulatory risks. This includes market, credit, operational, and regulatory risks arising from trading, asset-liability management, and capital markets activities. The division seeks collaborative individuals with strong ethics and attention to detail. Within FSRM, the Credit Risk (CR) team focuses on supporting clients, ranging from large domestic banks to global financial institutions, in implementing strategic, functional, and regulatory transformations across credit risk management within their banking book portfolios. Your role will involve working in diverse, multi-disciplinary teams to ensure high-quality outputs and service delivery to clients. You will be responsible for developing knowledge and implementing innovative solutions to meet clients" evolving needs. We value intellectual curiosity and a passion for driving solutions across organizational boundaries. Key Responsibilities: - Demonstrate deep technical expertise and industry knowledge, particularly in financial products focusing on lending solutions. - Design, assess, and benchmark financial risk management policies, frameworks, and methodologies across various risk domains such as credit risk, market risk, operational risk, liquidity risk, climate risk, and integrated risk topics. - Monitor project progress, manage risks, and communicate effectively with key stakeholders for successful outcomes. - Mentor and support the development of junior consultants. - Review, analyze, and validate work completed by junior team members to ensure accuracy and quality. - Adapt to projects involving model audits, validation, and development, showcasing flexibility and domain knowledge. Qualifications, Certifications, and Education: Must-have: - Graduate or Masters degree in a technical or quantitative discipline with a minimum of 3 years of relevant experience. - Strong foundation in statistics and econometrics. - In-depth knowledge of credit risk model development, validation, audit, and implementation in banking book portfolios. - Advanced technical skills in Python, SAS, SQL, R, and Excel. - Hands-on experience in data preparation, manipulation, and consolidation. - Strong documentation skills and ability to convey complex concepts clearly. - Effective multitasking skills and ability to deliver quality results under tight deadlines. Preferred: - Professional certifications such as FRM, CFA, PRM, or SCR. - Knowledge of regulatory modeling (BASEL, CCAR, IFRS9) and exposure to regulatory stress testing processes. - Familiarity with Interest Rate Risk in Banking Book (IRRBB) and data/business intelligence reporting. - Experience with machine learning models and their practical applications. - Willingness to travel for client engagements. Join EY and be part of a culture that offers training, opportunities, and creative freedom to make a difference. Work on inspiring projects with diverse clients, from startups to Fortune 500 companies. Benefit from education, coaching, and practical experience for personal development. Control your own growth with an individual progression plan, taking on challenging assignments in a high-quality, knowledge-sharing environment. Enjoy support, coaching, and feedback from engaging colleagues, opportunities for skill development and career advancement, and the freedom to shape your role in a way that suits you. EY is dedicated to building a better working world, creating long-term value for clients, people, and society, while fostering trust in the capital markets. With diverse teams across 150+ countries, EY leverages data and technology to provide trust through assurance and help clients grow, transform, and operate across various sectors. Through assurance, consulting, law, strategy, tax, and transactions services, EY teams tackle complex global issues by asking better questions to find innovative solutions.,

As a Data Scientist at Mindcurv with 4+ years of experience, you will be responsible for delivering Data Science projects in the advanced analytics space. Your role involves driving business results through data-based insights, collaborating with stakeholders and functional/tech teams, and discovering solutions hidden in large datasets. You are expected to have experience working as a Data Scientist in the Marketing sector and ideally have delivered use cases for the Automotive industry. Your responsibilities will include identifying valuable data sources, supervising data preprocessing, analyzing information to discover trends, building machine learning models, and presenting insights using data visualization techniques. To excel in this role, you should have 3-5 years of experience in Analytics systems/program delivery with at least 2 implementations in Big Data or Advanced Analytics projects. Proficiency in Python is essential, and knowledge of R, Pyspark, and SQL is a plus. You should be familiar with various machine learning techniques, advanced statistical concepts, and have hands-on experience in GCP/AWS/Azure platforms. Additionally, you are expected to have experience with business intelligence tools like Tableau, ML frameworks, strong math skills, and excellent communication and presentation abilities. Your role will involve collaborating with Data engineering and product development teams to implement various AI algorithms and identify best-fit scenarios for business outcomes. Join Mindcurv to be part of a team of experts dedicated to redefining digital experiences and enabling sustainable business growth through data-driven solutions.,

Offshore Software Solutions is looking for a Data Scientist with 3-5 years of experience in analyzing health data from devices like smartwatches and fitness trackers. The role involves developing custom machine learning models using TensorFlow to derive actionable insights for improving health monitoring and user well-being. Your responsibilities will include analyzing health data from wearables, developing and deploying machine learning models, collaborating with cross-functional teams, preprocessing data, ensuring privacy standards compliance, optimizing models for accuracy, and presenting findings to stakeholders. Additionally, you will stay updated on the latest machine learning research related to health data from wearable devices. Requirements for this role include a Bachelor's or Masters degree in Data Science or related field, 3+ years of data analysis experience, expertise in TensorFlow, knowledge of deep learning and neural networks, proficiency in Python and data science libraries, familiarity with health data metrics, experience with data visualization tools and databases, and strong problem-solving skills. Preferred qualifications include working with wearable device APIs, understanding time-series analysis and anomaly detection, experience in edge computing, and good communication skills for effective collaboration. If you are passionate about leveraging data science to improve health monitoring and user well-being, and possess the required skills and qualifications, we encourage you to apply for this exciting opportunity at Offshore Software Solutions in Mohali, Punjab.,

As a Database Developer, your primary responsibility will be to gather and organize essential information related to the functions of various databases. You will handle requests regarding database layout, appearance, and special features, providing guidance to Application Developers on database access and usage. Throughout the development projects, you will offer hands-on leadership, including DB schema design, code development and review, SQL query tuning, and optimizations. Additionally, you will be responsible for the installation, patching, upgrading, configuring, and monitoring of DBMS installations. You will play a vital role in upgrading and enhancing application schema and data upgrades, making proactive recommendations for system improvements, and supporting production application databases when necessary. Analyzing structural requirements for new system development and developing plans for data migration from legacy systems to new solutions will also be part of your duties. You will support migration and implementation of new Compas software versions from the DB perspective, design and implement future ETL frameworks, and create conceptual and logical data models and flowcharts. Your expertise will be crucial in improving system performance through testing, troubleshooting, and integrating new elements, as well as optimizing both new and existing database systems. Defining security, backup, and DB maintenance procedures will be essential in ensuring the integrity and availability of data. You will also be required to enable and support a Data Science capability within the organization, design and support data pipelines for analytics and modeling, and create data analytics reports to communicate findings effectively. Additionally, you will design, develop, and support DB CI/CD pipelines to streamline the development process. Essential Skills and Experience Required: - Proven work experience as a Database developer with a focus on architecture, design, development, and documentation of DB solutions. - In-depth understanding of database structure principles and experience working with various relational and non-relational database technologies. - Proficiency in SQL, Oracle, and other database technologies, as well as experience with XML, JSON, and YAML formatted data. - Expertise in MS technologies such as MS-SQL, .NET, and MVC, along with experience in developing, testing, and tuning stored procedures. - Familiarity with data visualization tools like Power BI, Tableau, D3.js, and SSRS. - Experience with DAX, Python, R, and proficiency in MS Excel for displaying DB data. - Strong experience in directing other DB development and staff, with a minimum of 3+ years of experience. - 4+ years of experience in Microsoft database environments, including SQL, SSIS, and ETL. - Database administration experience covering installation, patching, security, maintenance, configuration, and monitoring. - Experience in Windows server environments and creating, configuring, and supporting DB CI/CD pipelines on Azure DevOps. - Proficiency in SQL, C++, or Java, with a preference for multiple languages. - Strong analytical skills, problem-solving attitude, and excellent communication skills. - A Bachelor's degree in Computer Science or a relevant field will be advantageous for this role.,

Job Title Data Robot Machine Learning Specialist Relevant Experience 5 8 years (minimum 2 years hands-on with Data Robot Auto ML platform) Location Remote / Hybrid (Preferred: Chennai, India) Type of Hire Open to Persons with Disabilities (PwD) and Non-PwD candidates Availability Immediate joiners preferred Role Summary We are looking for a results-oriented Machine Learning professional with deep expertise in Data Robot to build, deploy, and monitor high-impact ML models across diverse business domains. You will own the end-to-end modeling lifecyclefrom data preparation and project setup in DataRobot through production deployment and performance trackingwhile guiding stakeholders on best practices for responsible AI. Must-Have Qualifications Bachelors degree in Computer Science, Data Science, Statistics, or related field 2+ years direct experience with DataRobot (v7+)AutoPilot, Feature Discovery, MLOps, and APIs Strong Python or R skills for custom modeling and data wrangling Solid grasp of supervised & unsupervised algorithms, evaluation metrics, and model interpretability techniques Hands-on SQL; familiarity with data warehouses (Snowflake, BigQuery, Redshift, etc.) Experience deploying models via REST endpoints or message queues (Kafka, RabbitMQ) Comfort presenting technical results to business stakeholders Show more Show less

As a valuable member of our team, your role will involve determining and developing user requirements for systems in production to ensure maximum usability. By utilizing your skills in usability, data analysis, machine learning, statistical analysis, communication skills, big data technologies (such as Hadoop and Spark), programming languages (such as Python and R), data visualization, and SQL, you will contribute to the success of our projects. Success in this position will mean that you have effectively gathered and analyzed data to provide valuable insights, improving the usability and functionality of our systems. Your ability to apply statistical analysis and machine learning techniques will play a crucial role in driving decision-making processes within the organization. This role is essential in ensuring that our systems meet the needs and expectations of our users, ultimately contributing to the overall success of our organization. Your expertise in data analysis and programming will be instrumental in driving innovation and efficiency in our projects. If you possess excellent verbal and written communication skills, along with a keen eye for detail and a passion for data-driven solutions, we encourage you to apply for this exciting opportunity. Join us in making a meaningful impact through your contributions to our team.,

You will be responsible for owning a complex workstream with support from supervisors such as project leaders, managers, or senior managers. Your role will involve supporting the broader insight/marketing analytics/brand teams in problem-solving, hypothesis generation, research, and insight generation, as well as ensuring quality control. It will be essential for you to interpret, understand, and break down brand acceleration plan requirements into actionable task items for the team. Additionally, you will need to lead meaningful and focused meetings and deliver business insights effectively to the project leadership. You should be able to execute and deliver high-quality outputs timely to both internal and external stakeholders. Your role will require you to derive actionable insights from voluminous quantitative and qualitative data/research. Furthermore, you will be expected to provide day-to-day coaching to analysts on various project aspects while overseeing a workstream for 1-2 analysts. You should have a minimum of 8-10 years of experience in consumer insights, market research, or marketing analytics, with at least 3 years of exposure to management consulting and data analytics related to market/business/consumer insights, preferably in a global MNC environment within Consumer Products/Retail industry domains. Your experience should include delivering projects related to brand strategy, revenue management, negotiations, pricing/promotions, etc., relevant to the CP industry. Proficiency in key data sources/metrics for the CP industry and analytical tools such as Alteryx, Tableau, etc., is required. Key Skills required for this role include strong analytical and problem-solving skills, excellent communication and presentation skills, and a proven ability to translate data into actionable insights. Professional experience in analytical tools and techniques, specifically Alteryx, Tableau, and Power BI is mandatory. Intermediate knowledge of Python, R, and SPSS would be a plus.,

You will join our dynamic team as a highly skilled Data Scientist, where you will be tasked with analyzing large datasets, developing predictive models, and offering actionable insights to facilitate informed business decisions. Your responsibilities will include collecting, processing, and analyzing extensive datasets to extract valuable insights. Furthermore, you will be developing and deploying predictive models and machine learning algorithms. Collaboration with cross-functional teams to identify business opportunities and promote data-driven decision-making will be a crucial aspect of your role. Moreover, you will be responsible for creating data visualizations and reports to effectively communicate your findings to stakeholders. It will be expected of you to continually enhance data collection and analysis processes. To qualify for this position, you should hold a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field. Demonstrable experience as a Data Scientist or in a similar capacity is essential. Proficiency in statistical methods and machine learning techniques is required, as well as expertise in programming languages like Python, R, or SQL. Strong analytical and problem-solving skills will be key to excelling in this role.,

At Instawork, our mission is to create meaningful economic opportunities for local businesses and skilled hourly professionals in communities around the world. We're building the leading AI-powered labor marketplace and we're looking for exceptional talent to help us scale quickly and make an even greater impact. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we're transforming the way the world works. As a Manager of Product Analytics, you will lead a team of product analysts embedded with cross-functional product teams. You'll play a central role in shaping how we measure success, identify opportunities for growth, and drive better decision-making through data. This role is ideal for a player-coach who thrives in fast-paced environments, understands marketplace dynamics, and is excited to help shape the trajectory of a product that has a real-world impact on our professionals and partners. What You'll Do: - Partner closely with Product, Engineering, and Design to shape product roadmaps and influence strategy with data. - Define and refine KPIs that accurately reflect product and business performance. - Develop insights that improve marketplace health; drive user activation and reduce churn; and optimize user engagement. - Lead and mentor a team of product analysts, creating a culture of curiosity, rigor, and business impact. - Establish best practices for analytics workflows, knowledge sharing, and stakeholder engagement. - Present findings and recommendations to stakeholders, including senior leadership, in a clear and concise manner. - Stay up-to-date with the latest industry trends and advancements in data analysis techniques. What We're Looking For: - 7+ years of experience in product analytics, data science, business operations or related roles, with at least 2 years managing analysts or data teams. - Track record of fostering talent in high-growth environments. - Strong proficiency in SQL and experience with experimentation and causal inference techniques. - Hands-on experience using BI tools like Mode, Tableau, or Looker, and scripting languages like Python or R. - Demonstrated success driving impact in a product-led or marketplace business. - Ability to synthesize complex analyses into clear, strategic recommendations for both technical and non-technical audiences. - Experience working in cross-functional teams with product managers, designers, and engineers. - Entrepreneurial self-starter that thrives in a fast-moving environment and is capable of independently seeking information, marshaling resources, and delivering results without waiting for direction. Instawork Values: - Bias for Action -- We are a growing team and an evolving product. We want a team of doers to drive the company forward, even if it means making decisions with incomplete information or being wrong. - Act Like an Owner -- Treat this company as though it is your own. Execute on the fundamentals, and act creatively to drive growth. Your ability to drive impact in any part of our company is only limited by your courage and conviction, not your job title. - Always Be Learning -- We are changing an entire industry. We strive to learn from each other and get better each day, week, and month, so that our team's learnings can compound and we can all improve, together. - Empathy, Trust, Candor -- Empathy for our business partners and professionals means we put ourselves in their shoes. Empathy for our colleagues means we are always upfront and honest with each other, which comes from trust. About Instawork: Founded in 2015, Instawork is the leading flexible work app for local, hourly professionals. Its digital marketplace connects thousands of businesses and more than five million workers, filling a critical role in local economies. Instawork has been featured on CBS News, the Wall Street Journal, The Washington Post, Associated Press, and more. In 2022, Instawork was ranked among the country's top 10% of fastest-growing companies by Inc. 5000 and was included in the Forbes Next Billion Dollar Startup list. Instawork was also named the 2022 ACE Award recipient for Best Innovation and one of the Best Business Apps by Business Insider. Instawork helps businesses in the food & beverage, hospitality, and warehouse/logistics industries fill temporary and permanent job opportunities in more than 25 markets across the U.S. and Canada. At Instawork, we constantly evaluate how to build an optimal work environment for success. Currently, we operate on a hybrid model, but we remain open to adapting our policies to meet the needs of our evolving business and team dynamics. As we continue to grow, we're seeking candidates who are excited about contributing to our in-person culture and open to the idea of working in-office up to 5 days a week. We value diversity on our team and firmly believe Instawork is stronger when we hire people who make their own unique contributions to our culture. We welcome all applicants and encourage candidates from underrepresented backgrounds to apply. To learn more about our company values, please visit: https://info.instawork.com/about Personnel Privacy Policy,

We believe that every candidate brings something special to the table, including you! So, even if you feel that you're close but not an exact match, we encourage you to apply. We'd be thrilled to receive applications from exceptional individuals like yourself. Gallagher, a global industry leader in insurance, risk management, and consulting services, boasts a team of over 50,000 professionals worldwide. Our culture, known as "The Gallagher Way," is driven by shared values and a passion for excellence. At the heart of our global operations, the Gallagher Center of Excellence (GCoE) in India, founded in 2006, upholds the values of quality, innovation, and teamwork. With 10,000+ professionals across five India locations, GCoE is where knowledge-driven individuals make a significant impact and build rewarding, long-term careers. Lead specialist should be able to work on multiple data analytics and business intelligence projects and maintain a good relationship with all stakeholders. You must have excellent knowledge of understanding clients" requirements, ask relevant questions, and gather project-related information to manage end-to-end projects individually. It is essential to have good experience in handling a team of 6 to 10 members and following supervisors" instructions. You should have experience working on data management and knowledge of deriving insights from the output that drives business value. Being proactive to learn new skills as per business requirements is crucial. ### How You'll Make An Impact - Excellent skills in Data analysis & Generating key Insights - Good hands-on experience on tools like PowerBI & SQL - Good knowledge of MS Office, Visual Studio, and Data Management - Good to have knowledge of MS Access, Tableau, Python, R - Team Performance Management - Manage, Motivate, Delegate, and Control - Maintain good rapport with the team and clients - Attention to detail and Quick Learner - Sense of Urgency and Goal Setting - Critical-thinking, Strategic thinking and problem-solving - Excellent verbal and written Communication skills - Work with other departments like IT, Admin, HR, etc - Monitor analytics and metrics results - Implement new data analysis methodologies - Ready to learn Insurance concepts - Abide by company policy and ethics - Innovate, Enhance existing projects - Training and Supporting team members on technical and non-technical skills ### About You - Bachelors Degree - 2+ years of team management experience in the same domain - Should be ready to work in any shift We value inclusion and diversity. Inclusion and diversity (I&D) are a core part of our business and are embedded into the fabric of our organization. For more than 95 years, Gallagher has led with a commitment to sustainability and to support the communities where we live and work. Gallagher embraces our employees" diverse identities, experiences, and talents, allowing us to better serve our clients and communities. We see inclusion as a conscious commitment and diversity as a vital strength. By embracing diversity in all its forms, we live out The Gallagher Way to its fullest. Equal employment opportunity will be extended in all aspects of the employer-employee relationship, including, but not limited to, recruitment, hiring, training, promotion, transfer, demotion, compensation, benefits, layoff, and termination. In addition, Gallagher will make reasonable accommodations to known physical or mental limitations of an otherwise qualified person with a disability unless the accommodation would impose an undue hardship on the operation of our business.,

As a Data Science Developer at our company located in Baner, Pune, you will be instrumental in creating and implementing data-driven solutions to address complex business issues. Your primary responsibilities will involve data analysis, model development, data pipeline creation, visualization, and collaboration with various teams. You will be tasked with collecting, cleaning, and preprocessing both structured and unstructured data, followed by conducting exploratory data analysis to reveal patterns and insights. Furthermore, your role will include designing, constructing, and enhancing machine learning and statistical models, ensuring their performance validation and robustness for deployment. Developing and managing end-to-end data pipelines for model deployment, as well as integrating models seamlessly into existing systems, will be crucial aspects of your job. Your ability to generate intuitive dashboards and reports to effectively communicate insights and meet business requirements will play a vital role in your day-to-day tasks. Collaboration is key in this role, as you will closely collaborate with data engineers, software developers, and business analysts to align with project objectives. Documenting processes, models, and insights for knowledge sharing will be an essential part of ensuring a cohesive team effort. To excel in this position, you should possess a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field, along with a minimum of 3 to 4 years of experience in data science or related roles. Proficiency in programming languages such as Python or R, familiarity with machine learning libraries like scikit-learn, TensorFlow, PyTorch, and experience with data visualization tools are essential requirements. Additionally, knowledge of SQL, relational databases, and big data technologies like Hadoop or Spark would be advantageous. If you have strong problem-solving skills, attention to detail, and excellent communication and teamwork abilities, we invite you to apply for this full-time position with benefits including health insurance, life insurance, paid sick time, and Provident Fund. The work schedule is during day shifts, with a total work experience of 5 years being required for this role.,

You will be responsible for analyzing healthcare data in the U.S. healthcare industry to ensure compliance with regulations such as HIPAA, support population health initiatives, claims analysis, and operational efficiency. Your role as a Healthcare Data Analyst will involve analyzing clinical, claims, and operational data to uncover insights that improve patient outcomes, reduce costs, and enhance healthcare delivery. You should have experience working with healthcare datasets and a strong understanding of healthcare systems, compliance requirements, and performance metrics. Your key responsibilities will include analyzing claims, Electronic Health Records (EHR), and clinical data to identify trends and patterns, developing and maintaining dashboards using tools like Power BI, Tableau, or Qlik, supporting population health initiatives by providing data-driven insights, partnering with stakeholders to define requirements, ensuring compliance with HIPAA, conducting ad hoc analyses, and monitoring data quality. To qualify for this role, you should have a Bachelor's degree in Public Health, Health Informatics, Data Science, Statistics, Computer Science, or a related field. Proficiency in SQL for querying large healthcare datasets is required, along with experience working with medicalclaims, EHR/EMR systems, and data visualization tools. Understanding of HIPAA and healthcare data security best practices is essential. Preferred qualifications include experience with Python or R for statistical analysis, familiarity with risk adjustment models, predictive analytics, value-based care reporting, and healthcare interoperability standards. A Master's degree in Health Informatics, Public Health, or a related field is a plus. Soft skills such as strong analytical thinking, effective communication, ability to work independently and collaborate in cross-functional teams, and being detail-oriented with strong organizational skills are important for this role. In return, you will receive a competitive salary, performance-based bonuses, comprehensive medical insurance, paid time off, holidays, parental leave, and remote work flexibility.,

Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrowpeople with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description Job Summary This position provides strategic, analytical, and technical support for data and business intelligence activities. This position leverages data to gain key insight into business opportunities, and effectively presents these insights to business stakeholders. This position participates in the creation, distribution, and delivery of analytics reports, tables, graphs, and communication materials that effectively summarize findings and support recommendations. Primary Skills (must Have) Strong hands-on experience Data Warehouse, building Data Lakes Semantic Model Development (Dimensional, Tabular), SSAS, AAS, LookML Strong dashboarding skills - PowerBI (preferred) / Tableau Hands on experience in SQL, DAX, Python, R Hands on experience in Google Cloud Platform & DevOps(CI/CD) Strong analytical skills and attention to detail Proven ability to quickly learn new applications, processes, and procedures. Able and willing to collaborate in a team environment and exercise independent judgement. Excellent verbal and written communication skills. Ability to form good partner relationships across functions. Secondary Skills Google Cloud Platform (preferred), Azure Agile experience (Scrum) Experience in C#, .Net is preferred Responsibilities Designs, develops, and maintains reports and analytical tools and performs ongoing data quality monitoring and refinement. Identifies and analyzes errors and inconsistencies in the data and provides timely resolutions. Translates data results into written reports, tables, graphs, and charts to convey information to management and clients. Creates ad hoc reports and views on a frequent basis to assist management in understanding, researching, and analyzing issues. Uses data mining to extract information from data sets and identify correlations and patterns. Organizes and transforms information into comprehensible structures. Uses data to predict trends in the customer base and consumer populations and performs statistical analysis of data. Identifies and recommends new ways to support budgets by streamlining business processes. Preferences Bachelor&aposs Degree (or internationally comparable degree) Business/Economics, Computer Science, Engineering, Marketing, MIS, Mathematics, or related discipline. Experience with data warehousing, data science software, or similar analytics/business intelligence systems. Employee Type Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation. Show more Show less

Job Description Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view. The Global Banking Strategy & Intelligence group helps the firm achieve its growth objectives and solve complex business problems. The Business Intelligence team has the mandate to use data-driven and advanced analytical approaches to identify, prioritize and accelerate high-value revenue growth opportunities for the Global Banking business. Leveraging existing and new data sets, both JPMC-proprietary and third party market research, the team identifies the best opportunities for the business to profitably add new clients and deepen existing relationships, to develop actionable business insights and support business intelligence leads to articulate the most optimal growth opportunities. As a Strategy & Business Intelligence Analyst in our Global Banking Intelligence team, you will work at the intersection of data analytics and business problem solving. You will spend each day defining, refining and delivering set goals for our firm through use of relevant, timely and effective data-driven strategy. Job Responsibilities Own and drive workstreams within broader strategic projects within the business intelligence portfolio Act as an internal consultantframing problems, structuring analysis, and providing actionable insights to stakeholders Engage with JPM senior leadership and bankers on progress updates, steerco meetings, data gathering exercises etc. Communicate actionable insights to business stakeholders through appropriate delivery mechanisms such as dashboards, email alerts, PowerPoint presentations etc. Adapt to a fast paced environment with multiple projects and often competing priorities Required Qualifications, Capabilities And Skills Minimum of 1 years experience in Strategy, Data Analytics, Consulting? Demonstrated business problem solving capability to draw actionable insights to support business growth objectives from a variety of data and research assets Strong business understanding and quantitative/analytical mindset Ability to engage with senior leadership and global stakeholders with strong presentation, communication and collaboration skills Knowledge of any of the following software packages: Python, R or SQL and familiarity with relational database concepts, and a passion for learning Preferred Qualifications, Capabilities, And Skills Management consulting experience preferred Financial services experience preferred MBA/ M.Tech from top tier school; additional qualification in data/business analytics preferred Expertise with tools like Alteryx, Tableau and Qliksense Strong Quantitative background?/ background in statistics and machine learning preferred ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the worlds most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants and employees religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgans Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. Show more Show less