1174 Probability Jobs - Page 33

Job description Some careers have more impact than others. If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be. HSBC is one of the largest banking and financial services organisations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Analyst- Decision Sciences Principal responsibilities Undertake model validation activities as dictated by the Global Model Risk Policy including the assessment of; model inputs, calculations, reporting outputs, conceptual soundness of the underlying theory and the suitability of the use for its intended purpose, relevance and completeness of data, qualitative information and judgements, documentation, and implementation of the model. Provide written reports detailing the results of validations highlighting issues identified during the validation. Validate remediation activities completed by the ILOD to ensure appropriate resolution of identified issues. Communicate technical model related information and results to Model Owners and Model Users through the course of a validation. Contribute to management, regulatory, and external confidence in all models used across the group. Deliver, high quality, timely validation reports that add value to the business. Requirements Worked on regulation in particular with FRTB, performed Bank wide plus desk level analysis to assess the impact of new regulation and support in quantitative impact study (QIS). Ensure that the FRTB IMA models meet their stated objectives by building robust risk factor eligibility test tools, NMRF SES and IMA ESF methodologies (expected shortfall methodologies) Have been involved in development and periodic update of proto-type models with special attention to the model related to Market risk VaR. Involved in creation of strategic tools for VaR/RNIV/Add-on/PnL Adjustment/Back testing using python to facilitate integration with FRTB implementation and offline calculation of risk numbers. Candidate should have experience in developing or validating Value at risk models using Greek based or Full Revaluation, PFE modeling for XVA, Incremental Risk charge (IRC) models etc Candidate should have theoretical understanding in Pricing- Derivatives/ Product Control and hedging models with focus on Interest rate, Equity, FX products Candidate should have experience in Stochastic Volatility modeling, calibration etc Minimum 1-5 years of experience of model validation/development experience in Risk Management in Market risk domain Must have background in financial mathematics knowledge such as stochastic calculus, numerical methods, probability theory, regression, time series analysis. Experience with some statistical modelling software / programming language e.g. Python, R, Matlab, C++, VBA. Experience of presenting recommendations to Senior Management. Experience of conducting independent model reviews. Team-oriented mentality combined with ability to complete tasks independently to a high-quality standard. Master’s or PhD degree in a quantitative discipline like Financial Mathematics, Statistics, Econometrics, Quantitative Finance, Economics or Engineering. You’ll achieve more at HSBC HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.” Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. ***Issued By HSBC Electronic Data Processing (India) Private LTD***

Job Description Software Engineer, Chennai Our NielsenIQ Technology teams are working on revamping multiple platform, a unified, global, open data ecosystem powered by Microsoft Azure. Our clients around the world rely on NielsenIQ’s data and insights to innovate and grow. As a Python Engineer, you’ll be part of a team of smart, highly skilled technologists who are passionate about learning and prototyping cutting-edge technologies. As a market research company, we had lot of data analytics, machine learning requirements being implemented in various applications. Our CDAR Platform had various usecase which incorporated AI/ML and Data analytics. Our team is co-located and agile, with central technology hubs in Chicago, Madrid, Toronto, Chennai and Pune Responsibilities Understanding user needs and how they fit into the overall, global solution design Prototyping new features and integrations aligned to business strategy by introducing innovation through technology Following source & test-driven development best practices Troubleshooting and identifying root cause analysis while resolving the issues Write complex, maintainable code to develop scalable, flexible, and user-friendly applications. Importing/Collecting, cleaning, converting and analyzing the data for the purpose of finding insights and making conclusions. Train models, fine tune parameters for maximum efficiency and deploy models. Actively participate in building algorithms for solving complex problems with design and development. Take ownership of the projects and ensure timely deliveries. Collaborate with diverse teams across time zones. Qualifications Minimum of 2 years of experience in large scale production systems and in languages such as Python/R Minimum B.S. degree in Computer Science, Computer Engineering or related field with focus in machine learning Strong software engineering skills and understanding of the ML lifecycle with a minimum of 2 years' experience in ML production systems and in software development Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas Fluent in processing data with pandas (e.g., querying, transforming, joining, cleaning, etc.) including experience debugging logic and performance issues Strong understanding of machine learning algorithms with experience writing, debugging, and optimizing ML data structures, pipelines, and transformations Knowledge of statistics, probability, or a related discipline Extensive data modelling and data architecture skills Strong knowledge of version control tools, preferably Bit bucket Basic Knowledge on Linux/Unix environment (basic commands, shell scripting, etc.) Demonstrated ability to work as part of a Global Team Strong troubleshooting and problem-solving skills Excellent English communication skills, with the ability to effectively interface across cross-functional technology teams and the business Preferred Qualifications: Bachelor’s degree or equivalent in Computer Science or a related field with a focus in machine learning Experience using Collaboration Technologies: Azure DevOps, TFS, Jira, Confluence Experience using Atlassian tool suite, including JIRA, Confluence, BitBucket Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion

Job Description Very good understanding of Predictive modeling techniques and their application. Knowledge of Credit life cycle Statistics and machine learning techniques. Conducted and applied statistical methodologies including linear regression, logistic regression, ANOVA/ANCOVA, CHAID/CART, cluster analysis. Good understanding of Probability of Default (PD), LGD and EAD modeling technique. Team player and collaboration skills. Programming skills in SAS, GCP, R and PYTHON. Fluency with Excel, PowerPoint and Word Strong written and oral presentation / communication skills – must have the ability to convey complex information simply and clearly Responsibilities Develop and validate credit risk models Execute analytics special studies and ad hoc analyses Using SAS, GCP, R, Python for model building and model validation Continual enhancement of statistical techniques and their applications in solving business objectives Compile and analyze the results from modeling output and translate into actionable insights Prepare PowerPoint presentations and document preparation for the entire credit risk modeling process Collaborate, Support, Advise and Guide in development of the models Acquire and share deep knowledge of data utilized by the team and its business partners Participate in global conference calls and meetings as needed and manage multiple customer interfaces Evaluate new tools and technologies to improve analytical processes Set own priorities and timelines to accomplish projects (accountability for project deliverables) Qualifications Masters in Mathematics/Statistics/Economics/Engineering or any other related discipline or a track record of performance that demonstrate this ability Practical applications of mathematical modeling, Operations Research and Machine Learning techniques Demonstrated knowledge in credit and/or market risk measurement and management Excellent problem solving, communication, and data presentation skills Proficient with SAS, SQL and GCP Show more Show less

Who We Are Balbix is the world's leading platform for cybersecurity posture automation. Using Balbix, organizations can discover, prioritize and mitigate unseen risks and vulnerabilities at high velocity. With seamless data collection and petabyte-scale analysis capabilities, Balbix is deployed and operational within hours, and helps to decrease breach risk immediately. Balbix counts many global 1000 companies among its rapidly growing customer base . We are backed by John Chambers (the former CEO and Chairman of Cisco) , top Silicon Valley VCs and global investors . We have been called magical , and have received raving reviews as well as customer testimonials , numerous industry awards , and recognition by Gartner as a Cool Vendor , and by Frost & Sullivan . DATA SCIENCE AT BALBIX At Balbix we believe in using the right algorithms and tools to ensure correctness, performance and deliver an excellent user experience. We draw boldly from the latest in AI/ML research but are unafraid to go beyond Bayesian inference and statistical models if the situation demands it. We are generalists, caring as much about storytelling with data, as about bleeding edge techniques, scalable model training and deployment. We are building a data science culture with equal emphasis on knowing our data, grokking security-first principles, caring about customer needs, explaining our model predictions, deploying at scale, communicating our work, and adapting the latest advances. We look out for each other, enjoy each others’ company, and keep an open channel of communication about all things data and non-data. This role is open for Bengaluru/Gurugran. You Will Design and develop an ensemble of classical and deep learning algorithms for modeling complex interactions between people, software, infrastructure and policies in an enterprise environment Design and implement algorithms for statistical modeling of enterprise cybersecurity risk Apply data-mining, AI and graph analysis techniques to address a variety of problems including modeling, relevance and recommendation Build production quality solutions that balance complexity and performance Participate in the engineering life-cycle at Balbix, including designing high quality ML infrastructure and data pipelines, writing production code, conducting code reviews and working alongside our infrastructure and reliability teams Drive the architecture and the usage of open source software library for numerical computation such as TensorFlow, PyTorch, and ScikitLearn You Are Able to take on very complex problems, learn quickly, iterate, and persevere towards a robust solution Product-focused and passionate about building truly usable systems Collaborative and comfortable working across teams including data engineering, front end, product management, and DevOps Responsible and like to take ownership of challenging problems A good communicator, and facilitate teamwork via good documentation practices Comfortable with ambiguity and thrive in designing algorithms for evolving needs Intuitive in using the right type of models to address different product needs Curious about the world and your profession, constant learner You Have A Ph.D. in Computer Science and Engineering or related field 3+ years of experience in the field of Machine Learning, programming in Python, and building scalable distributed systems Foundational knowledge of probability, statistics and linear algebra Expertise in state-of-the-art AI algorithms such as deep-learning, NLP, probabilistic graphical models, graphical algorithms, reinforcement learning and time-series analysis Knowledge of statistical analysis and modeling techniques, and model explainability Life @ Balbix At Balbix, we have built a culture that aligns to our values of ownership, customer focus, curiosity, tenacity, innovation, judgement, teamwork, communication, honesty and impact. In joining our team you’ll work with very motivated and knowledgeable people, build pioneering products and utilize cutting-edge technology. Our Balbix team members see rapid career growth opportunities stemming from our culture of alignment, bottom up innovation, our clarity of goals and unrelenting mission. Last but not least, developing the world's most advanced platform to address what the most important (and hardest) technology problem facing mankind today is exceptionally rewarding! More information at https://www.balbix.com/company/careers/ Please reach out if you want a seat on our rocket-ship and are passionate about changing the cybersecurity equation. Show more Show less

Job Overview We are seeking a motivated and results-driven Lead Generation Specialist to join our dynamic sales team at Threatcop. The Lead Generation Specialist will generate and nurture B2B leads through various outreach methods, including cold calling , cold emailing, and LinkedIn messaging. A key part of the role will involve leveraging advanced email marketing strategies, such as SPF, DKIM, DMARC, email warmup, and crafting B2B personas for targeted email sequences. Key Responsibilities: (PST ZONE) Generate SQL (sales-qualified lead) , a lead that has a high probability of converting into a customer using outbound cold calls , emails, and LinkedIn messaging, specifically targeting cybersecurity products and services. Implement SPF, DKIM, and DMARC for deliverability, conduct email warmup for sender reputation, develop B2B personas for targeted outreach, and create automated email sequences to nurture prospects. Design and execute targeted cold email campaigns, using LinkedIn for lead identification and engagement. Use the BANT (Budget-Authority-Need-Time) framework to qualify leads and schedule meetings or calls for the sales team. Track interactions and maintain accurate lead data in the CRM, ensuring all progress and metrics are recorded for reporting purposes. Consistently meet or exceed monthly and quarterly lead-generation goals and appointment-setting targets. Conduct in-depth research to identify high-growth industries and customer segments in cybersecurity and networking markets. Develop a comprehensive business development strategy to build and maintain a strong sales pipeline. Represent Threatcop at industry events, building relationships with key stakeholders, and driving partnerships. Requirements: Bachelor's or Master’s degree in Technology (B.Tech/BCA/M.Tech/MCA) or a related field. 2+ years of experience in B2B lead generation. Must be comfortable and skilled in conducting high-volume cold calls to potential prospects Hands-on experience with implementing SPF, DKIM, and DMARC for email deliverability, performing email warmups, and creating targeted B2B personas. Must possess full proficiency in both spoken and written English to communicate effectively with prospects and clients. Proficiency with CRM tools, email marketing platforms, and LinkedIn for lead generation and outreach. Why You'll Enjoy Working at Threatcop: Working with us allows you to gain hands-on experience and training on various industry-leading tools for database management and prospecting. Tools such as ZOHO CRM, Lusha, Apollo.io, Notion, LinkedIn Sales Navigator, and more will be at your disposal, empowering you to enhance your skills and streamline your work. Get the fast learning and exciting environment of a startup, combined with the stable work and strong performance of a bigger company. There's lots of room to learn, grow, and share your ideas. We also provide good benefits like health insurance, a gratuity payment, and Employees' Provident Fund (a savings plan for your future). We are an equal opportunity employer, where everyone has a fair chance. About Us: Threatcop Inc. is a leading People Security Management(PSM) company and a sister concern of Kratikal. Threatcop helps organizations reduce the impacts of cyber threats by strengthening the cybersecurity posture of employees. With a focus on reducing social engineering and email-based attacks, we transform employees from the weakest link to the strongest line of defense. Serving over 250+ large enterprises and 600+ SMEs across 30+ countries , Threatcop assists clients in sectors such as E-commerce, Finance, BFSI, Healthcare, Manufacturing, and Telecom with clients like Axis Bank, Gail India, ONGC, MaxLife Insurance, Daman Insurance, UNICOIL, NPCI, Tata Consumer Products and many others. We are a USA-based company, headquartered in Noida with offices in Mumbai, Pune, Bangalore, Chennai, Dubai, and Riyadh. We use the A-A-P-E (Assess, Aware, Protect, Empower) framework to deliver effective products such as TSAT, TLMS, TDMARC and TPIR to tackle evolving cyberthreats. By focusing on preventing human error, our People Security Management (PSM) approach empowers organizations to foster a culture of cybersecurity awareness to tackle modern cyber threats. For more details, visit us at: www.threatcop.com Show more Show less

Who We Are Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks. Motive serves more than 120,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector. Visit gomotive.com to learn more. What You’ll Do Work closely with Product Insurance to build, improve and implement data ETLs and analysis Apply statistical and machine learning techniques on large datasets Evaluate the utility of non-traditional data sources What We’re Looking For Bachelor's degree or higher in a quantitative field, e.g. Computer Science, Math, Economics, or Statistics 5+ years experience in data science, machine learning, and data analysis Expertise in SQL and Python Expertise in applied probability and statistics Deep understanding of machine learning techniques and algorithms Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives. Please review our Candidate Privacy Notice here . UK Candidate Privacy Notice here. The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology. Show more Show less

Indore, Madhya Pradesh, India;Hyderabad, Telangana, India Qualification : Define and manage analytics strategy. Provides analytical expertise in the process of model development, refining, and implementation in a variety of analytics problems. Oversees team data scientists, de-bottlenecking issues related to project execution. Work closely with business and product management teams to develop and implement analytics solutions. Collaborate with data engineers & architects to implement and deploy scalable solutions. Communicate results to diverse technical and non-technical audiences. Design accurate and scalable prediction algorithms Generate actionable insights for business improvements. Ability to understand business requirements. Use case derivation and solution creation from structured/unstructured data. Storytelling, Business Communication, and Documentation Actively drive a culture of knowledge-building and sharing within the team Encourage continuous innovation and out-of-the-box thinking. Skills Required : R, Python, TensorFlow, PyTorch, Deep Learning Algorithms, Image/Video Analytics Role : R, Python, Scikit-Learn, TensorFlow, PyTorch Exploratory Data Analysis Machine Learning and Deep Learning Algorithms Model building, Hyperparameter tuning and Model performance metrics. MLOps, Data Pipeline, Data engineering Statistics Knowledge (Probability Distributions, Hypothesis Testing) Time series modeling, Forecasting, Image/Video Analytics, and Natural Language Processing (NLP). Experience : 12 to 16 years Job Reference Number : 11688

Noida, Uttar Pradesh, India;Bangalore, Karnataka, India;Gurugram, Haryana, India;Indore, Madhya Pradesh, India;Pune, Maharashtra, India;Hyderabad, Telangana, India Qualification : Strong experience in Python 2+ years’ experience of working on feature/data pipelines using PySpark Understanding and experience around data science Exposure to AWS cloud services such as Sagemaker, Bedrock, Kendra etc. Experience with machine learning model lifecycle management tools, and an understanding of MLOps principles and best practice Experience with statistical models e.g., multinomial logistic regression Experience of technical architecture, design, deployment, and operational level knowledge Exploratory Data Analysis Knowledge around Model building, Hyperparameter tuning and Model performance metrics. Statistics Knowledge (Probability Distributions, Hypothesis Testing) Time series modelling, Forecasting, Image/Video Analytics, and Natural Language Processing (NLP). Good To Have: Experience researching and ing large language and Generative AI models. Experience with LangChain, LLAMAIndex, Foundation model tuning, Data Augmentation, and Performance Evaluation frameworks Able to provide analytical expertise in the process of model development, refining, and implementation in a variety of analytics problems. Knowledge on Docker and Kubernetes. Skills Required : Machine Learning, Natural Language Processing , AWS Sagemaker, Python Role : Generate actionable insights for business improvements. Ability to understand business requirements. Write clean, efficient, and reusable code following best practices. Troubleshoot and debug applications to ensure optimal performance. Write unit test cases Collaborate with cross-functional teams to define and deliver new features Use case derivation and solution creation from structured/unstructured data. Actively drive a culture of knowledge-building and sharing within the team Experience ing theoretical models in an applied environment. MLOps, Data Pipeline, Data engineering Statistics Knowledge (Probability Distributions, Hypothesis Testing) Experience : 4 to 5 years Job Reference Number : 13027

Company: ACS Networks & Technologies Pvt. Ltd. Job Type: Full-TimeType: Education/Training/KPO. Location: Shastradhara Road, Dehradun, Uttarakhand - 248001 ACS Networks & Technologies Pvt. Ltd. is looking for a Subject Matter Expert (SME) to guide the development of technical and non-technical solutions for our international clients. The SME will provide in-depth knowledge and expertise in a specific subject, business area, or technical domain, ensuring high-quality and insightful academic content development. About Us: ACS Networks & Technologies Pvt. Ltd. is a leading company in the education and technology sector, providing high-quality academic content and solutions. We are hiring Subject Matter Experts (SMEs) across various subjects to develop high quality content. Subjects Available: Mechanical Engineering Electrical Engineering Civil Engineering Statistics and Probability Physics Accounts Chemistry Finance Key Responsibilities:· Develop high-quality academic content and solutions. Solve subject-specific queries and provide detailed explanations. Review and proofread content for accuracy, Clarity, etc.Create structured and plagiarism-free solutions. Assist in curriculum development and educational content creation. Qualifications & Skills:· Preferred Master’s/Ph.D. in the relevant subject area (Should have scored 8 CGPA or above in Post-Graduation). Strong knowledge and expertise in the chosen subject.Excellent written and verbal communication skills. Ability to research and provide detailed, step-by-step solutions. Proficiency in MS Office, MS word & MS Excel. Prior experience in academic content creation or teaching is a plus. Why Join Us? Competitive salary and growth opportunities.Exposure to global academic content development. A collaborative and learning-driven work environment.Work with a team of experts in various disciplines. How to Apply: Interested candidates can share their updated resumes at shalini.kandari@acstechnologies.net or call us 7037453282 .Join us and be a part of an innovative and knowledge-driven team at ACS Networks & Technologies Pvt. Ltd. Job Types: Full-time, Permanent, Fresher Pay: ₹18,000.00 - ₹23,500.00 per month Benefits: Health insurance Schedule: Day shift Morning shift Night shift Work Location: In person Application Deadline: 12/06/2025

Full-time Job Description Software Engineer, Chennai Our NielsenIQ Technology teams are working on revamping multiple platform, a unified, global, open data ecosystem powered by Microsoft Azure. Our clients around the world rely on NielsenIQ’s data and insights to innovate and grow. As a Python Engineer, you’ll be part of a team of smart, highly skilled technologists who are passionate about learning and prototyping cutting-edge technologies. As a market research company, we had lot of data analytics, machine learning requirements being implemented in various applications. Our CDAR Platform had various usecase which incorporated AI/ML and Data analytics. Our team is co-located and agile, with central technology hubs in Chicago, Madrid, Toronto, Chennai and Pune Responsibilities Understanding user needs and how they fit into the overall, global solution design Prototyping new features and integrations aligned to business strategy by introducing innovation through technology Following source & test-driven development best practices Troubleshooting and identifying root cause analysis while resolving the issues Write complex, maintainable code to develop scalable, flexible, and user-friendly applications. Importing/Collecting, cleaning, converting and analyzing the data for the purpose of finding insights and making conclusions. Train models, fine tune parameters for maximum efficiency and deploy models. Actively participate in building algorithms for solving complex problems with design and development. Take ownership of the projects and ensure timely deliveries. Collaborate with diverse teams across time zones. Qualifications Minimum of 2 years of experience in large scale production systems and in languages such as Python/R Minimum B.S. degree in Computer Science, Computer Engineering or related field with focus in machine learning Strong software engineering skills and understanding of the ML lifecycle with a minimum of 2 years' experience in ML production systems and in software development Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas Fluent in processing data with pandas (e.g., querying, transforming, joining, cleaning, etc.) including experience debugging logic and performance issues Strong understanding of machine learning algorithms with experience writing, debugging, and optimizing ML data structures, pipelines, and transformations Knowledge of statistics, probability, or a related discipline Extensive data modelling and data architecture skills Strong knowledge of version control tools, preferably Bit bucket Basic Knowledge on Linux/Unix environment (basic commands, shell scripting, etc.) Demonstrated ability to work as part of a Global Team Strong troubleshooting and problem-solving skills Excellent English communication skills, with the ability to effectively interface across cross-functional technology teams and the business Preferred Qualifications: Bachelor’s degree or equivalent in Computer Science or a related field with a focus in machine learning Experience using Collaboration Technologies: Azure DevOps, TFS, Jira, Confluence Experience using Atlassian tool suite, including JIRA, Confluence, BitBucket Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion I'm interested I'm interested Privacy Policy Show more Show less

Job Description Software Engineer, Chennai Our NielsenIQ Technology teams are working on revamping multiple platform, a unified, global, open data ecosystem powered by Microsoft Azure. Our clients around the world rely on NielsenIQ’s data and insights to innovate and grow. As a Python Engineer, you’ll be part of a team of smart, highly skilled technologists who are passionate about learning and prototyping cutting-edge technologies. As a market research company, we had lot of data analytics, machine learning requirements being implemented in various applications. Our CDAR Platform had various usecase which incorporated AI/ML and Data analytics. Our team is co-located and agile, with central technology hubs in Chicago, Madrid, Toronto, Chennai and Pune Responsibilities Understanding user needs and how they fit into the overall, global solution design Prototyping new features and integrations aligned to business strategy by introducing innovation through technology Following source & test-driven development best practices Troubleshooting and identifying root cause analysis while resolving the issues Write complex, maintainable code to develop scalable, flexible, and user-friendly applications. Importing/Collecting, cleaning, converting and analyzing the data for the purpose of finding insights and making conclusions. Train models, fine tune parameters for maximum efficiency and deploy models. Actively participate in building algorithms for solving complex problems with design and development. Take ownership of the projects and ensure timely deliveries. Collaborate with diverse teams across time zones. Qualifications Minimum of 2 years of experience in large scale production systems and in languages such as Python/R Minimum B.S. degree in Computer Science, Computer Engineering or related field with focus in machine learning Strong software engineering skills and understanding of the ML lifecycle with a minimum of 2 years' experience in ML production systems and in software development Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas Fluent in processing data with pandas (e.g., querying, transforming, joining, cleaning, etc.) including experience debugging logic and performance issues Strong understanding of machine learning algorithms with experience writing, debugging, and optimizing ML data structures, pipelines, and transformations Knowledge of statistics, probability, or a related discipline Extensive data modelling and data architecture skills Strong knowledge of version control tools, preferably Bit bucket Basic Knowledge on Linux/Unix environment (basic commands, shell scripting, etc.) Demonstrated ability to work as part of a Global Team Strong troubleshooting and problem-solving skills Excellent English communication skills, with the ability to effectively interface across cross-functional technology teams and the business Preferred Qualifications: Bachelor’s degree or equivalent in Computer Science or a related field with a focus in machine learning Experience using Collaboration Technologies: Azure DevOps, TFS, Jira, Confluence Experience using Atlassian tool suite, including JIRA, Confluence, BitBucket Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion Show more Show less

About The Position Chevron invites applications for the role of Data Scientist within our Enterprise AI team in India. This position is integral to designing and developing AI/ML models that significantly accelerate the delivery of business value. The successful candidate will be working with business stakeholders to prototype and deliver innovative data science applications that add value to Chevron’s business. This position will provide broad exposure to the application of technology to enable business with many opportunities for growth and professional development for the candidate. Key Responsibilities Combine expertise in mathematics, statistics, computer science, and domain knowledge to create AI/ML models to solve various Chevron business challenges Collaborate closely with the AI Technical Manager and GCC Petro-technical professionals and data engineers to integrate models into the business framework. Identify and frame opportunities to apply advanced analytics, modeling, and related technologies to data to help Chevron businesses gain insight and improve decision making, workflow, and automation. Understand and communicate the value of proposed opportunity with team members and other stakeholders. Identify needed data and appropriate technology to solve identified business challenges. Clean data and develop and test models. Establish the life cycle management process for models. Provide technical mentoring in modelling and analytics technologies, the specifics of the modelling process, and general consulting skills. Drive innovation in AI/ML to enhance Chevron's capabilities in data-driven decision-making. Aligns with team on shared goals and outcomes, recognizes others’ contributions, and work collaboratively & seek diverse perspectives. Takes actions to develop self and others beyond existing skillset. Encourages innovative ideas, adapts to change and changing technologies Understand and communicate data, insights, and model behaviors to stakeholders with varying levels of technical expertise. Required Qualifications Minimum 5 years of experience in designing and developing AI/ML models and/or various optimization algorithms. 5 - 10 years of experience Solid foundation in mathematics, probability, and statistics with demonstrated depth of knowledge and experience in advanced analytics and data science methodologies (e.g. supervised and unsupervised learning, statistics, data science model development) Proficiency in Python and working knowledge of cloud AI/ML services (Azure Machine Learning and Databricks preferred) Domain knowledge relevant to the energy sector and working knowledge of Oil and Gas value chain (e.g., upstream, midstream, or downstream) and associated business workflows. Proven ability to frame data science opportunities, leverage standard foundational tools and Azure services to perform exploratory data analysis (for purposes of data cleaning and discovery), visualize data, and identify actions to reach needed results. Ability to quickly assess current state and apply technical concepts across cross-functional business workflows. Experience with driving successful execution, deliverables, and accountabilities to meet quality and schedule goals. Ability to translate complex data into actionable insights that drive business value. Demonstrated ability to engage and establish collaborative relationships both inside and outside immediate workgroup at various organizational levels, across functional and geographic boundaries to achieve desired outcomes. Demonstrated ability to adjust behaviour based on feedback and provide feedback to others. Team-oriented mindset with effective communication skills and the ability to work collaboratively. Chevron ENGINE supports global operations, supporting business requirements across the world. Accordingly, the work hours for employees will be aligned to support business requirements. The standard work week will be Monday to Friday. Working hours are 8:00am to 5:00pm or 1.30pm to 10.30pm. Chevron participates in E-Verify in certain locations as required by law. Show more Show less

Job Description YOUR IMPACT As a strategist who sits in the Securities Division, you will play an integral role on the trading floor. You may create cutting-edge derivative pricing models and empirical models to provide insight into market behavior, or develop automated trading algorithms for the firm and its clients. You might be involved in analyzing exposures and structuring transactions to meet client needs, or involved in designing and developing complex parallel computing architectures, electronic trading tools, and advanced algorithms. Throughout the Securities Division, strategists are using quantitative and technological techniques to solve complex business problems. OUR IMPACT Our core value is building strong relationships with our institutional clients, which include corporations, financial service providers, and fund managers. We help them buy and sell financial products on exchanges around the world, raise funding, and manage risk. This is a dynamic, entrepreneurial team with a passion for the markets, with individuals who thrive in fast-paced, changing environments and are energized by a bustling trading floor THE PRIME SERVICES STRAT TEAM – FUNDING/INVENTORY MANAGEMENT Our global team is a fundamental part of the Prime Brokerage and Clearing Services groups under the Prime Services umbrella within the Securities Division. We drive major business decisions and run business critical systems in the following areas. Our funding/inventory management strats work with securities lending and the synthetic product desk in conducting transactions and managing risk. In this entrepreneurial role, we build and maintain real-time and scalable trading, inventory management and funding platforms and identify trade opportunities systematically. While organized in different teams and locations, we pride ourselves in our teamwork across the globe and teams to find solutions that help our business thrive around the world. Our team members have a wide variety of quantitative academic and cultural backgrounds. This diversity helps us to find innovative solutions for our complex business problems. It is an exciting time to join our growing team. How You Will Fulfill Your Potential If you are looking for an entrepreneurial position allowing you to fully leverage your strong quantitative, engineering and communication skills to solve challenging real world problems, then our funding/inventory management strat team has the ideal opportunity for you. In this role you will work cross-functionally to build scalable and robust platforms to optimize and automate inventory management decisions. As a member of our growing team, you will have the opportunity to improve our offering to our clients across the physical and synthetic Prime Brokerage. Basic Qualifications SKILLS & EXPERIENCE WE’RE LOOKING FOR Strong academic background in a relevant field - Mathematics, engineering, computer science, or economics background, including a quantitative understanding of statistics and probability Strong programming skills in a modern programming language (C++, Python, Java or equivalent language) and familiarity with object oriented design principles Ability to work as a member of a global team and deliver results quickly Ability to solve technical problems and explain the underlying ideas to a non-technical audience Preferred Qualifications Strong written and verbal communication skills Knowledge of financial markets, in particular, understanding of one delta products, and financial mathematics is a plus Successful track record of building scalable systems with clearly defined SLAs in a financial setting. Entrepreneurial spirit About Goldman Sachs At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html © The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity Show more Show less

We are building a team of trailblazers, who embody growth, impact, and excellence. Job Description As a Reliability Data Analyst, you will execute intermediate to advance level task work for engineering projects across multiple areas of reliability data gathering, organizing, analyzing, and strategizing. Job Duties Solve complex reliability problems using professional judgment to ensure tasks include the appropriate level of assessment, analysis, and evaluation while following best practices and RAGAGEP With minimal procedural guidance, analyze the overall risk levels for fixed and non-fixed assets to create reliability strategies Organize and analyze pertinent data to evaluate the consequence and probability of failures in fixed and non-fixed assets across multiple sites and units Gather and organize operations and maintenance data to make recommendations in reliability strategies Facilitate customer validations meetings in process interviews, task selections, and other reliability focused areas of scope Leverage internal and external software to deliver analysis and strategies for large industrial complex facilities Extract and verify pertinent reliability information from multiple data sources using different technologies Organize large industrial complex facilities into smaller and more manageable sections based on industry standards or customer guidance Gather asset counts and documentation related to project scopes of work Analyze effectiveness of historical non-destructive examination methods using various methodologies Use verbal and written communication skills to work with our customers Accountabilities Meet and maintain excellent quality and efficiency for all deliverables Execute strategies to deliver reliability services to our customers Demonstrate effective time management skills to ensure timely completion of assigned tasks Maintain professional relationships and effectively communicate with team members Participate in endeavors that provide professional development and technical/soft skill training Recognize inefficiencies and facilitate innovation that results in significant improvements Required Qualifications Bachelor’s degree in an engineering field or 3+ years working in the reliability data industry Independent problem solver and high performing team player Able to adapt to evolving client demands and dynamic work environment Ability to understand technical literature (e.g. process descriptions, training manuals) Ability to develop technical documents. (Technical Writing Skills) Ability to understand Piping and Instrument Diagrams, Logic Diagrams, Cause and Effect Diagrams, and Electrical One-Line Diagrams Effective and professional verbal and written communication skills Detail-oriented with a strong aptitude for learning new processes and skills Initiative to exceed beyond set expectations Willingness to travel up to 50% of the time Commitment to relocate domestically or internationally (multiple locations) Proficiency in Microsoft Office Suite Preferred Qualifications 1+ years of professional working experience in the petroleum, chemical, mining process, or wastewater industries Any of the following API Certifications: o 510 o 570 o 580 o 653 Equipment and Software Knowledge Microsoft Office Suite – intermediate to advanced level proficiently Integrated Database Management Systems (PCMS, Meridium, etc.) Direct Reports There will be no direct reports to this role. Pinnacle is an equal employment opportunity employer and does not discriminate based on race, color, national origin, religion, gender identity, sexual orientation, sex, age, disability, veteran or military status, genetic information, or any other characteristic protected by applicable law. Show more Show less

Key Accountabilities JOB DESCRIPTION Collaborate with cross-functional teams (e.g., data scientists, software engineers, product managers) to define ML problems and objectives. Research, design, and implement machine learning algorithms and models (e.g., supervised, unsupervised, deep learning, reinforcement learning). Analyse and preprocess large-scale datasets for training and evaluation. Train, test, and optimize ML models for accuracy, scalability, and performance. Deploy ML models in production using cloud platforms and/or MLOps best practices. Monitor and evaluate model performance over time, ensuring reliability and robustness. Document findings, methodologies, and results to share insights with stakeholders. Qualifications, Experience And Skills Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field (graduation within the last 12 months or upcoming). Proficiency in Python or a similar language, with experience in frameworks like TensorFlow, PyTorch, or Scikit-learn. Strong foundation in linear algebra, probability, statistics, and optimization techniques. Familiarity with machine learning algorithms (e.g., decision trees, SVMs, neural networks) and concepts like feature engineering, overfitting, and regularization. Hands-on experience working with structured and unstructured data using tools like Pandas, SQL, or Spark. Ability to think critically and apply your knowledge to solve complex ML problems. Strong communication and collaboration skills to work effectively in diverse teams. Additional Skills (Good To Have) Experience with cloud platforms (e.g., AWS, Azure, GCP) and MLOps tools (e.g., MLflow, Kubeflow). Knowledge of distributed computing or big data technologies (e.g., Hadoop, Apache Spark). Previous internships, academic research, or projects showcasing your ML skills. Familiarity with deployment frameworks like Docker and Kubernetes. Show more Show less

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us. This role is part of the Home team within the Product Analytics and Experimentation organization. The team supports the Product team by providing insights and incrementally measurement to help inform decisions on product features. Our team is looking for an established performer who consistently applies analytical capabilities, principles, and playbooks to solve business problems, with moderate guidance and direction. The role involves regular interaction with stakeholders up to the Senior Manager level. In this role, you will: Extract and integrate data from multiple sources to support model building and analytics. Design and recommend both simple and complex experiments (e.g., A/B, pre/post, causal impact) to address business questions. Build basic models (e.g., linear, logistic, clustering) and select appropriate data structures and formats. Develop and maintain basic data pipelines and workflows that support modeling tasks. Work with stakeholders in an iterative, collaborative process to refine project scope and requirements. Apply business knowledge to shape modeling questions, select features, and guide decisions. Deliver clear and concise data stories and visualizations that support decision-making. Automate recurring reporting and dashboarding tasks across multiple platforms (web, app, geo). Share documentation, code, and project artifacts (e.g., executive summaries, tech docs, visualizations) with relevant audiences. Communicate project goals, methods, caveats, and insights to both technical and non-technical stakeholders. Collaborate openly with analytics peers through brainstorming, peer review, and knowledge sharing. Train and enable stakeholders to use dashboards and self-service tools; promote data literacy. Troubleshoot and resolve data issues and ensure efficient query and pipeline performance. Uphold best practices for code sharing and documentation using tools like GitHub, IEX, and Confluence. Continuously seek feedback and apply it to improve current and future projects. Experience and qualifications: Experience 1-2 years of experience in a data analytics role for Bachelor’s/Master’s graduates (preferably in Mathematics or a scientific discipline), or 2+ years in a comparable professional setting. Proven track record of delivering data-driven insights and recommendations that led to business impact or performance improvements. Technical Skills Intermediate proficiency in R , Python , or SQL for analyzing, structuring, and visualizing large datasets. Competent in extracting, transforming, and combining data from multiple sources. Able to build basic models (e.g., linear/logistic regression, clustering) and support them with appropriate data formats. Experienced in writing efficient, reusable code and creating basic data pipelines. Familiarity with tools like GitHub, IEX, and Confluence for code sharing and documentation. Working knowledge of query optimization and data quality best practices. Statistical & Analytical Knowledge Basic understanding of probability, descriptive statistics (e.g., ANOVA, regression), and frequentist concepts. Ability to design and interpret experiments (e.g., A/B, pre/post, causal impact ). Capable of framing business problems as analytical tasks and selecting suitable methodologies. Business & Domain Knowledge Strong business acumen with the ability to align analytics to strategic objectives. Understanding of key data sources, their business context, and appropriate use in modeling. Ability to identify relevant features and guide model design decisions. Communication & Collaboration Strong communication and influencing skills, with experience tailoring insights to both technical and non-technical audiences. Skilled in creating clear, audience-appropriate data visualizations, with awareness of inclusive design principles. Collaborative team player open to feedback, peer review, and knowledge sharing. Mindset & Problem Solving Demonstrated critical thinking and curiosity with a proactive, solutions-focused approach. Comfortable working iteratively and independently, adjusting based on feedback and findings. Strong skills in information gathering, problem solving, and continuous learning. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age. India - Haryana - Gurgaon Technology Full-Time Regular 06/07/2025 ID # R-95599

About Us Yubi stands for ubiquitous. But Yubi will also stand for transparency, collaboration, and the power of possibility. From being a disruptor in India’s debt market to marching towards global corporate markets from one product to one holistic product suite with seven products Yubi is the place to unleash potential. Freedom, not fear. Avenues, not roadblocks. Opportunity, not obstacles. About Yubi Yubi, formerly known as CredAvenue, is re-defining global debt markets by freeing the flow of finance between borrowers, lenders, and investors. We are the world's possibility platform for the discovery, investment, fulfillment, and collection of any debt solution. At Yubi, opportunities are plenty and we equip you with tools to seize it. In March 2022, we became India's fastest fintech and most impactful startup to join the unicorn club with a Series B fundraising round of $137 million. In 2020, we began our journey with a vision of transforming and deepening the global institutional debt market through technology. Our two-sided debt marketplace helps institutional and HNI investors find the widest network of corporate borrowers and debt products on one side and helps corporates to discover investors and access debt capital efficiently on the other side. Switching between platforms is easy, which means investors can lend, invest and trade bonds - all in one place. Our platforms shake up the traditional debt ecosystem and offer new ways of digital finance. Yubi Credit Marketplace - With the largest selection of lenders on one platform, our credit marketplace helps enterprises partner with lenders of their choice for any capital requirements. Yubi Invest - Fixed income securities platform for wealth managers & financial advisors to channel client investments in fixed income Financial Services Platform - Designed for financial institutions to manage co-lending partnerships & asset-based securitization Spocto - Debt recovery & risk mitigation platform Accumn - Dedicated SaaS solutions platform powered by Decision-grade data, Analytics, Pattern Identifications, Early Warning Signals and Predictions to Lenders, Investors and Business Enterprises So far, we have onboarded more than 17000 enterprises, 6200 investors, and lenders and facilitated debt volumes of over INR 1,40,000 crore. Backed by marquee investors like Insight Partners, B Capital Group, Dragoneer, Sequoia Capital, LightSpeed and Lightrock, we are the only-of-its-kind debt platform globally, revolutionizing the segment. At Yubi, People are at the core of the business and our most valuable assets. Yubi is constantly growing, with 1000+ like-minded individuals today who are changing the way people perceive debt. We are a fun bunch who are highly motivated and driven to create a purposeful impact. Come join the club to be a part of our epic growth story. About The Role We seek a skilled Lead Data Scientist to join our team and help build “Collection Campaign Recommendations/ Optimizations” As a Lead Data Scientist, you will be key in designing, developing, and deploying ML/ RL models that experiments and optimizes the collection campaigns across digital,telecalling and field. Your experience in machine learning and strong Python programming skills will be crucial in driving innovation and business value for our clients. Key Responsibilities Develop, implement, and maintain advanced analytical models and algorithms specifically geared toward improving debt collection processes. Collaborate with business stakeholders to identify key opportunities for data-driven improvements in debt collection strategies. Enhance existing models and incorporate new data sources to continuously optimize our approach. Own the end-to-end process of metric design, tracking, and reporting related to debt collection performance. Continuously improve and update metrics to align with business objectives and regulatory requirements. Communicate findings effectively with both technical and non-technical stakeholders. Mentor, train, and support junior data scientists, fostering a culture of continuous improvement and collaboration Lead cross-functional teams on data projects, ensuring alignment between data science initiatives and business goals Stay abreast of the latest industry trends, tools, and best practices in analytics and debt management. Requirements Experience: 8 to 10 years Required Skills Technical Skills In-depth understanding of machine learning algorithms (supervised, unsupervised, and ensemble methods) and their application to risk. Expertise in statistical analysis, including hypothesis testing, regression analysis, probability theory, and data modeling techniques, to extract insights and validate machine learning models. Experience in designing, developing, and delivering end-to-end data products and solutions. Expertise in model explainability techniques (e.g., SHAP, LIME) and regulatory compliance for risk models. Strong proficiency in Python. Working knowledge of PySpark ( Good to have ) Proficiency in building and deploying models on cloud platforms (AWS). Proficiency in developing backend microservices using Fast API and working knowledge of MLOps. Experience with NLP techniques is good to have Domain Skills ( Good to have ) Prior domain expertise in debt collection processes, including credit risk assessment, regulatory compliance, and industry best practices. Proven ability to design, implement, and optimize performance metrics and key performance indicators tailored specifically for debt recovery initiatives. Education and Experience Bachelor’s/Advanced degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. 5 to 8 years of experience in the data science and machine learning domain Experience in the financial sector or Collection team is a bonus. Show more Show less

Summary Plan, design, organize, conduct and evaluate managerial, supervisory, and staff training programs. Provide employees with effective training solutions to support strategic initiatives identified in collaboration with the organization’s management team. Assess the effectiveness of training solutions. ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties may be assigned. Identify training needs within the organization. Identify critical skills associated with each functional or workcell managerial position. Identify specific voids in training. Recommend effective training solutions. Create and implement effective evaluation tools to measure effectiveness of training. Deliver classroom training. Develop and maintain a core curriculum of supervisory training. Partner and involve organizational leadership in the facilitation of curriculum. Effectively use adult learning principles to maximize effectiveness of training. Continue to develop and demonstrate effective instructor competencies. Relate course material to actual on the job tasks and ensure development of these competencies. Provide coaching and follow up to all learning events. Relate course material to actual on the job tasks and ensure development of these competencies. Achieve overall high satisfaction ratings (9.0/10.0 standard). Follow all ISO and department procedures. Provide organizational development solutions. Assess organizational effectiveness and develop improvement plans. Demonstrate business insight and provide solutions in response to individual and team needs. Provide team development support to functional and workcell teams. Create functional or workcell specific orientation plans, in conjunction with leadership, which support new employees in the business. Produce and maintain Education & Training Matrix’s for functional areas that you support. Produce and maintain training records in our Learning Management System with 100% accuracy. Input appropriate data into training records. These records should include but not be limited to, documentation of actual training, tests scores, certification and re-certification processes etc. Complete all administrative functions relating to training classes. Follow established administrative procedures. Program development. Set up and maintain a leadership development program for employees in lower level positions to strengthen existing skill or develop potential. Formulate learning objectives. Select or develop instructional methods, training aids, manuals and other materials. Develop lesson plans and instructor notes to meet needs of learners. Design handouts and class materials to support training: Evaluation forms Quizzes/tests/hands-on assessments Certifications Research and review external training programs and materials to provide the best solution. Evaluate training solutions. Training Projects & Staff Meetings. Complete within annual time line 2 major projects. Attend and input to support Staff Team meetings. Follow all department procedures. Adhere to all safety and health rules and regulations associated with this position and as directed by manager. Comply and follow all company procedures. Minimum Requirements Bachelor’s degree in Human Resources or related field preferred; and one to three years experience in Training capacity. DDI Facilitation Certification preferred. Language Skills Ability to read and interpret documents such as safety rules, operating and maintenance instructions and procedure manuals. Mathematical Skills Ability to work with mathematical concepts such as probability and statistical inference, and fundamentals of plane and solid geometry and trigonometry. Ability to apply concepts such as fractions, percentages, ratios, and proportions to practical situations. REASONING ABILITY Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables. PHYSICAL DEMANDS The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. The employee is frequently required to walk, and to lift and carry PC’s and test equipment weighing up to 15lbs. Specific vision abilities required by this job include close vision and use of computer monitor screens a great deal of time. WORK ENVIRONMENT The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Individual’s primary workstation is located in the office area. The noise level in this environment ranges from low to moderate. , BE AWARE OF FRAUD: When applying for a job at Jabil you will be contacted via correspondence through our official job portal with a jabil.com e-mail address; direct phone call from a member of the Jabil team; or direct e-mail with a jabil.com e-mail address. Jabil does not request payments for interviews or at any other point during the hiring process. Jabil will not ask for your personal identifying information such as a social security number, birth certificate, financial institution, driver’s license number or passport information over the phone or via e-mail. If you believe you are a victim of identity theft, contact your local police department. Any scam job listings should be reported to whatever website it was posted in. Show more Show less

Just Engineering is a leading Industrial automation training provider company delivering PLC/SCADA Industrial Automation and IT training from its state-of the-art training centre which is centrally located at JM Road, Deccan, Pune since 2012. We are looking for IT Trainer Data Analytic / Data Science course including Python, SQL , Data Analytics , Data Science, Machine Learning, Power BI, Excel basic and Advance, Tableau, R etc. to help us build our learning and development programs on latest technology. Job Description: 1. Training and Delivery: Deliver high-quality training on Data analytics and Data science related technologies for Programming, Data Visualization, Graphical presentation, AI, Machine Learning , databases and related advance technologies. Use interactive teaching methods such as hands-on coding exercises, live projects, case studies, and assignments to engage learners. Develop and implement curricula for training programs, workshops, and bootcamps based on learner levels (beginner to advanced). 2. Design Training Material: Create and update course content, including presentations, lab exercises, and study materials. Ensure the course is up to date with the latest industry standards and technology trends. 3. Mentorship and Guidance: Provide mentorship to students and guide them through projects. Conduct regular assessments to track learner progress. Offer career guidance and job preparation, including building portfolios, interview practice, and coding challenges. 4. Data Anaytics and Data Science Expertise: Teach core technologies including Python Programming, Power BI, Tableau and R Languages, Basic and Advanced Excel, Probability and Statistics concepts. Teach various concepts from basics to advanced in Data science and Data Analytics. Strong knowledge of various libraries like Numpy, Pandas, Sci-kit Learn and Matplotlib etc. 5. Student Support and Feedback: Provide timely feedback on assignments and projects. Address learner queries and provide troubleshooting assistance during training. 6. Performance and Progress Evaluation: Conduct assessments, quizzes, and evaluations to gauge the effectiveness of training. Adapt teaching methods based on feedback and learning outcomes. Skills and Qualifications: Technical Proficiency as applicable for course: Strong knowledge Data Analytics, Basic and Advanced Excel, Python, SQL, Power BI, Tableau, R, Statistics and Probability concepts Expertise in databases (SQL/NoSQL) and RESTful API development. Strong knowledge of Data Science, Machine Learning, Deep Learning, Power BI. Experience: 1 to 3 years of experience as a Data Analyst / Data Science Trainer or related roles. Prior experience in teaching, mentoring, or training is a plus. Soft Skills: Strong communication skills and ability to explain technical concepts to non-technical individuals. Patience, adaptability and ability to engage and motivate students. Excellent organizational, communication and time management skills. Educational Requirements: Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience). Data science /Data Analytics/ Power BI/ Advanced Excel certifications are required. Interested candidates share your resume or call on 7028953079. Job Types: Full-time Pay: ₹10,000.00 - ₹40,000.00 per month Schedule: Day shift Evening shift Morning shift Weekend availability Work Location: In person Application Deadline: 01/07/2025 Expected Start Date: 01/07/2025 Show more Show less

Job Description This role is for an experienced audit professional to join the Commercial and Investment Banking (CIB) Business Audit Team reporting to Commercial and Investment Banking Audit lead in Mumbai and Commercial and Investment Banking Compliance Audit lead in New York. Job Summary As a Commercial and Investment Banking Compliance Audit Associate based in Mumbai as part of the CIB Compliance Audit team, you will provide coverage of Commercial and Investment Banking Compliance activities, including compliance with various US and international rules and regulations, other corporate functions including control management, marketing & communications, and legal and regulatory related activities, by evaluating the adequacy and effectiveness of the control environment across regions. This will be accomplished through a risk-based audit coverage program, managed and executed by a team of business and technology audit specialists. You will be involved in audit engagements, performing and documenting audit testing, and partnering closely with global Audit colleagues and business stakeholders. The role will require you to use your judgment to enhance internal controls, and offer you the chance to gain a comprehensive understanding of key CIB central functions and controls, and the related regulatory landscape. Job Responsibilities Participate in all aspects of audit activities including risk assessments, audit planning, audit testing, control evaluation, issue drafting, and follow up and verification of issue closure, in close partnership with and support of senior auditors and /or audit managers, and ensuring audit assignments are completed timely and within allocated budget Work closely with CIB Compliance Audit colleagues in the early identification of emerging control issues and reporting them timely to Audit management and business stakeholders while adhering to audit standards Develop recommendations to strengthen internal controls and improve operational efficiency Take ownership of self-development, including stretch assignments, to prepare for greater responsibilities and career growth, and take initiative to seek out opportunity for continued learning Build and maintain strong working relationships with stakeholders, business management, other control groups while maintaining independence Stay up-to-date with evolving industry / regulatory changes and market events impacting the business and demonstrate technical competency. Required Qualifications, Capabilities And Skills Minimum 5 years of internal or external auditing experience, or relevant business experience Minimum Bachelor's degree (or relevant financial services experience) Ability to operate as an effective auditor, with a solid understanding of internal controls and the ability to evaluate and determine the adequacy of controls for a given set of risks Experience with internal audit methodology and applying concepts in audit delivery and execution Excellent written, verbal, and presentation skills; adept at presenting complex and sensitive issues to senior management Strong interpersonal and influencing skills, with the ability to establish credibility and build partnerships with senior business and control partners, while also influencing the actions of the business to improve its control environment Strong analytical skills, particularly in regard to assessing the probability and impact of an internal control weakness Proven ability to multi-task and prioritize effectively, and drive efficiency with existing technical infrastructure through automation, while embracing the innovative opportunities offered by new technologies Enthusiastic, self-motivated, effective under pressure and willing to take personal risk and accountability Ability to work well individually, and in teams, share information, support colleagues and encourage participation. Preferred Qualifications, Capabilities And Skills Chartered Accountant or equivalent, Certified Internal Auditor, and/or Advanced Degree in Finance or Accounting Relevant working experience in Commercial and Investment Banking business ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s 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 Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. The Audit department provides independent assessments to evaluate, test and report on the adequacy and effectiveness of our governance, risk management and internal controls. The team’s priorities are focused on strong governance, transparency, strategic engagement, and fostering a diverse and inclusive culture that develops our talent. Show more Show less

Job Description Market Risk Strats – Goldman Sachs, Bengaluru Risk Engineering is part of the Risk Division of Goldman Sachs. This is a central part of the Goldman Sachs risk management framework, with primary responsibility to provide analytical solutions, data-driven insights, robust metrics and effective technologies for risk management. RE is staffed globally with offices in USA, UK, Europe, Bengaluru, Singapore, and Tokyo. Market Risk Strats group in Risk Engineering is a multidisciplinary group of quantitative experts focusing on market risk and capital models. The group is responsible for designing, implementing and maintaining quantitative measures of market risk such as Value at Risk(VaR), Stress Tests, as well as metrics used to determine the firm’s capital requirements. The Responsibilities Of Market Risk Strat Include Develop, implement, and maintain quantitative measures of market risk (“Risk Models”) such as VaR, Stress Test and Capital models in order to assess the market risk of the Firm’s businesses. Work on large datasets to extract useful insights on firm’s risks Evaluate new capital regulations, including the Fundamental Review of the Trading Book (FRTB) and facilitate the understanding of their impact on the Firm’s market risk capital. Coordinate across multiple continents and multiple groups, including traders, strats, technology and controllers to implement the new capital regulations. Communicate clearly about complex mathematical concepts with internal and external stakeholders such as risk managers, market making businesses, senior management and regulators. Perform quantitative analysis and facilitate understanding of the market risk for a variety of financial derivatives, including exotic products. Provide supervision and quantitative / technical guidance to more junior risk management professionals. In performing the job function, an associate in Market Risk Strat will have the following opportunities: Broad exposure to pricing, risk and capital models for a variety of financial products Exposure to challenging quantitative problems such as modeling market risk for derivatives, large scale Monte Carlo simulations of complete portfolios across the firm, and fast approximation of market risk measurements. Development of quantitative and programming skills as well as product and market knowledge. Work in a dynamic teamwork environment. Basic Qualifications Bachelor's Degree in a relevant field: Mathematics, Finance, Computer Science, Physics, Engineering Strong quantitative skills and programming skills Good knowledge of statistics, econometric modeling and probability theory. Strong written and verbal communication skills – ability to explain complex quantitative concepts to a non-technical audience. Preferred Qualifications Competence in data science, stochastic processes, and advanced mathematics Experience working with large data sets Knowledge of more than one financial asset class About Goldman Sachs At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html © The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity Show more Show less

We are seeking a highly skilled Senior Perception Engineer to join our team. The ideal candidate will have extensive experience in developing and implementing perception algorithms for robotic systems, with a focus on sensor fusion, SLAM, and multi-modal sensing. Master's or Ph.D. in Computer Science, Robotics, or a related field 3-8 years of experience in perception engineering for autonomous systems Strong programming skills in C++ and Python Extensive experience with SLAM algorithms, computer vision, and sensor fusion techniques Proficiency in working with LiDAR, camera, radar, and IMU sensors Hands-on experience with ROS2 Familiarity with deep learning frameworks and their application to perception tasks Experience with real-time systems and embedded software development Strong mathematical background in linear algebra, probability theory, and optimization Preferred Qualifications Experience with autonomous vehicle perception systems Knowledge of sensor calibration techniques Experience with multi-object tracking and motion prediction Experience with Autoware. Key Skills C++ Sensor fusion SLAM Computer vision LiDAR processing Radar processing ROS2 Autoware Python Machine learning Show more Show less

The Project Analyst role supports across multiple project workstreams and lifecycles to ensure delivery of project objectives, plans, documentation, and reporting. This role will work closely with D&A Operations leaders and senior members of the Program Management Team to ensure timely, high-quality delivery of transformation programs. Key Responsibilities: Joins and holds meetings to assist the project leads by monitoring project progress, timelines, task progression, and advising the project leads and workstream when activities are behind schedule or over budget. Builds knowledge and shares awareness of market, technology, data, operational related trends & initiatives, by contributing curated research materials, white papers, business cases, on a regular cadence as agreed by Operations LT members. Supports the team by coordinating meetings, printing materials, taking minutes, maintaining accurate action and decision logs and updating the status of program results. Carries out accurate and detailed risk logging in line with LSEG risk processes, including risk assessments reviewing the probability and severity of risks. Leads the repository of standard methodology project templates, project library, filing, recording and reporting systems and continuously identifies improvements. Assists with the monitoring of a change roadmap for the portfolio and uses change management processes, policies and standard methodology. Maintains high-quality and up-to-date data, analyzing information to support project and program reporting and status updates. Monitors the records of project resourcing requirements and capacity to support resource optimization. Key Skills: Uses project management methodologies to lead project resources and activities. Collects, analyses and interprets data to reach conclusions and/or present insights and findings. Maintains and runs the organization's databases and/or Project Management tools across multiple platforms. Produces management information and analyses for trends. Communicates with clarity and precision, presenting complex / technical information in a concise format that is audience appropriate. Identifies the best solution to overcome problems. Seeks new ways of working continuously to make processes run smoother and faster. Interacts well with others, quickly establishing rapport building positive relationships and networks. Documents the risks, assumptions, issues, and dependencies on a project and drives formal change control standards and governance. Demonstrates the discipline of planning, organizing and managing resources and activities to achieve specified outcomes within a clearly defined timeframe and standards. Understands different approaches to project management (e.g. Agile, Waterfall etc.) and ensures flexibility to deliver and implement within different ways of working. Excellent verbal and written communication skills. Strong Microsoft office knowledge (excel, PowerPoint). Must be prepared to work UK/US hours as and when required. LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth. Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership , Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions. Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives. We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject. If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice. Show more Show less

About Us Yubi stands for ubiquitous. But Yubi will also stand for transparency, collaboration, and the power of possibility. From being a disruptor in India’s debt market to marching towards global corporate markets from one product to one holistic product suite with seven products Yubi is the place to unleash potential. Freedom, not fear. Avenues, not roadblocks. Opportunity, not obstacles. Role : Senior Data Scientist Experience: 3 to 5 years About the Role: We seek a skilled Senior Data Scientist to join our team in building a cutting-edge Credit Risk Machine Learning platform. This platform delivers sophisticated credit scoring models and transparent explanations behind each score to support clients' credit monitoring and management activities. As a Senior Data Scientist, you will be key in designing, developing, and deploying machine learning models that assess credit risk, ensuring high accuracy, interpret ability, and compliance with regulatory requirements. Your experience in machine learning, credit risk modelling, and strong Python programming skills will be crucial in driving innovation and business value for our clients. Key Responsibilities: Align data solutions with business objectives and technical constraints, adapting to the evolving market dynamics, regulatory landscape and client requirements. Work closely with cross-functional teams, including data engineering, product management, and business teams, to manage and lead various aspects of the product lifecycle, from conception to delivery. Monitor model performance and maintain risk management protocols by retraining models as needed, ensuring ongoing accuracy and regulatory compliance. Stay updated on industry trends, regulations, and emerging technologies to improve the models continuously and the platform. Provide mentorship and guidance to junior data scientists and engineers within the team. Required Skills: Technical Skills Expertise in statistical analysis, including hypothesis testing, regression analysis, probability theory, and data modelling techniques, to extract insights and validate machine learning models.: Experience in designing, developing, and delivering end-to-end data products and solutions. Expertise in model explain ability techniques (e.g. SHAP, LIME) and regulatory compliance for risk models. Strong proficiency in Python and working knowledge of PySpark. Proficiency in building and deploying models on cloud platforms (AWS). Experience with NLP techniques is good to have. Domain Skills: Ability to collaborate with finance and risk teams to ensure model outputs align with business objectives and regulatory requirements. Familiarity with key financial instruments, regulatory frameworks (e.g., Basel III, IFRS 9), and their impact on risk assessment models. Education and Experience: Bachelor’s/Advanced degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. 3 to 5 years of experience in the data science and machine learning domain Experience in the financial sector or credit risk management is a bonus. Show more Show less

Flex is the diversified manufacturing partner of choice that helps market-leading brands design, build and deliver innovative products that improve the world. We believe in the power of diversity and inclusion and cultivate a workplace culture of belonging that views uniqueness as a competitive edge and builds a community that enables our people to push the limits of innovation to make great products that create value and improve people's lives. A career at Flex offers the opportunity to make a difference and invest in your growth in a respectful, inclusive, and collaborative environment. If you are excited about a role but don't meet every bullet point, we encourage you to apply and join us to create the extraordinary. To support our extraordinary teams who build great products and contribute to our growth, we’re looking to add a Senior Specialist - Indirect Procurement Sourcing in Chennai, India. The Senior Specialist will be based in Chennai. Will be responsible for Indirect procurement operations, specialized in handling MRO / EDM / Facilities / Construction / New Building Projects Procurement, RFQ to support factory & GBS operation, execution of the strategic sourcing process and global policy compliance, setup goals and lead team to drive to achieve them, coach and develop talents. What a typical day looks like: Typically requires an Engineering degree in a related field. A minimum of 5 years of material and manufacturing experience, preferably from Manufacturing Industry (Automobile, Electronics Manufacturing) Demonstrates expert functional, technical and people and/or process management skills as well as customer (external and internal) relationship skills. Demonstrates detailed expertise in very complex functional/technical area or broad breadth of knowledge in multiple areas; understands the strategic impact of the function across sites Ability to read, analyze, and interpret the most complex documents. Ability to respond effectively to the most sensitive inquiries or complaints. Ability to write speeches and articles using original or innovative techniques or style. Ability to make effective and persuasive speeches and presentations on controversial or complex topics to top management, public groups, and/or boards of directors Ability to work with mathematical concepts such as probability and statistical inference to practical situations Ability to define problems, collect data, establish facts and draw valid conclusions. Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables The experience we’re looking to add to our team: 5 years+ working experience in manufacturing Sector (not service/consultant/trading company) Familiar with international company culture Dedicated role in supply chain management, including 3 years plus working experience in indirect procurement of MRO / EDM Facilities / Construction Projects Financial knowledge and cost management sense Working knowledge in ERP systems What you’ll receive for the great work you provide Health Insurance PTO #RA01 Site Flex is an Equal Opportunity Employer and employment selection decisions are based on merit, qualifications, and abilities. We celebrate diversity and do not discriminate based on: age, race, religion, color, sex, national origin, marital status, sexual orientation, gender identity, veteran status, disability, pregnancy status, or any other status protected by law. We're happy to provide reasonable accommodations to those with a disability for assistance in the application process. Please email accessibility@flex.com and we'll discuss your specific situation and next steps (NOTE: this email does not accept or consider resumes or applications. This is only for disability assistance. To be considered for a position at Flex, you must complete the application process first). Show more Show less