Hello potential future Oatly employee. It’s us, the original oatmilk company that started in Sweden back 25 or so years ago and has since expanded to the U.S. where we’ve continued growing at a rate such that we need more brilliant minds to come work with us to keep the momentum going and the oatmilk flowing. Sustainability, health, and transparency are the core values that guide everything we do. Basically, we exist to help people live a healthier life without recklessly taxing the planet’s resources in the process, and to change the food system for the better. We drive that change through the power of oats and through a significant reduction in cow’s milk consumption. If any of this resonates with you, then maybe you’d like to work for Oatly, too. Now onto the formal stuff. We’re looking for an IBP Lead to guide Oatly NA's end‑to‑end Integrated Business Planning process and keep our demand, supply, and financial plans tightly connected. In this role, you’ll facilitate core IBP forums, collaborate across teams, and use advanced planning tools to strengthen accuracy and decision‑making. Here are the things we want to hire you to do: IBP Process Leadership: - Support the department to continue the development, implementation, and continuous improvement of the IBP process - Facilitate monthly and quarterly IBP meetings to review, challenge, and validate integrated plans - Ensure alignment between demand & financial plans across the business Cross-Functional Collaboration: - Act as a liaison between the different IBP forums, fostering collaboration to synchronize plans and actions - Work closely with senior leadership to align strategic objectives with operational capabilities - Drive consensus among stakeholders to resolve conflicts and achieve integrated plans Forecasting and Planning: - Transcribe the monthly demand forecast and create rolling supply plans on a monthly basis - Develop scenario planning and sensitivity analyses to support decision-making - Monitor performance against plans and provide insights and recommendations for course corrections Data and Analytics: - Utilize advanced analytics (Anaplan/BI) to enhance planning accuracy and decision-making - Ensure the availability and accuracy of data for IBP processes, leveraging digital tools and technologies - Develop and maintain IBP metrics and KPIs to measure effectiveness and drive continuous improvement Change Management: - Champion the IBP governance to embed the IBP culture and practices across the organization, enabling timely & effective decision making - Develop training programs and materials to educate teams on IBP processes and tools - Lead by example, demonstrating best practices in integrated planning and execution Risk Management: - Identify and mitigate risks associated with business planning and execution - Develop contingency plans to address potential disruptions in supply, demand, or operational capabilities Continuous Improvement: - Stay abreast of industry trends and best practices in IBP and related fields - Implement innovative solutions to enhance the efficiency and effectiveness of the IBP process - Foster a culture of continuous improvement and operational excellence Here are the things we think you need: - BA/BS degree in business, supply chain management, finance, or a related field preferred - 5+ yrs experience in business planning, supply chain management, finance, or a related discipline - At least 2-3 years of experience in either Anaplan or other advance planning solutions - Proven track record of leading integrated business planning or sales and operations planning (S&OP) processes - Demonstrated ability to translate strategic objectives to tactical execution plans - Excellent analytical and communication skills, both oral and written - Must be detail-oriented, highly organized, and able to work independently and with limited supervision - Effectively prioritizes multiple demands, ability to be flexible during high workload periods And here’s another list of qualities we think make a good Oatly team member: - You feel connected to our mission of encouraging health, sustainability, and transparency - You are a self-starter who doesn’t need direct supervision to motivate you for success – we believe strongly in building a culture of individual accountability and ownership, and need partners that can embrace that mentality - You are ready to make your mark in a smaller, growing brand, leveraging your experience to deliver amazing results and build an outstanding company - You have an entrepreneurial spirit in that you’re comfortable with ambiguity and are energized by the process of building something lasting from the ground up - You enjoy sharing your quirkiness and talents with your coworkers Another bulleted list felt a bit too…bullet-y. So we wrote this long, awkward sentence to let you know all the ways we sweeten the deal when you work with us, like flexible vacation (take it when you need it), really great benefits (yes, pet insurance is in there), paid volunteer days off throughout the year (doing good is fun), free six packs of...(drumroll)…oatmilk, and you’ll also get genuinely great coworkers who are rooting for each other and the company to thrive. Oh, one more short but very important sentence: We are nimble and agile (not chaotic) in how we work, and we’re grounded in a long company history dating way back to the last century. Our team is available to support you through the hiring process with reasonable accommodations to enable a barrier-free interview experience. We will maintain candidate privacy and confidentiality to enable an unbiased and equitable experience. If you need assistance applying for a role due to a disability or special need, please contact peopleconnect.NA@oatly.com. Oatly is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

• Design and implement RL environments that support large-scale agent evaluation and reinforcement learning experiments. • Build task generation pipelines, dynamic datasets, and scripted environments with controlled complexity and stochasticity. • Develop verifiers and reward models to score trajectories and evaluate model reasoning automatically. • Collaborate with infrastructure and systems engineers to ensure environments are scalable, reproducible, and instrumented for detailed telemetry. • Design APIs and orchestration frameworks for running, resetting, and evaluating agents across environments. • Optimize environment performance, logging, and reward reproducibility across distributed setups.

Clinical Data Manager, Sponsor Dedicated ICON plc is a world-leading healthcare intelligence and clinical research organization. We’re proud to foster an inclusive environment driving innovation and excellence, and we welcome you to join us on our mission to shape the future of clinical development As a Clinical Data Science Lead at ICON, you will drive data science initiatives within clinical trials, ensuring that our analyses provide meaningful insights that inform strategic decisions. What You Will Do: You will manage day-to-day clinical data science activities, supporting your team to deliver quality outcomes. Key responsibilities include: - Leading the design and implementation of data science strategies to enhance clinical trial data analysis. - Collaborating with cross-functional teams to identify key data requirements and analytical needs. - Overseeing the development of statistical models and analytical tools to optimize data interpretation. - Mentoring and guiding team members in best practices for data analysis and visualization. - Communicating findings and insights to stakeholders through presentations and reports, influencing project direction. Your Profile: You will have solid clinical data science experience, with the ability to manage competing priorities and develop your team. Required qualifications and experience: - Bachelor's degree in life sciences, computer science, or a related discipline - Extensive experience in data analysis and project leadership within a clinical research setting. - Strong expertise in statistical software and data visualization techniques. - Exceptional analytical and problem-solving skills, with a focus on translating data into actionable insights. - Excellent communication and leadership skills, with the ability to foster collaboration across diverse teams. - Willingness to travel as required (approximately 15%) What ICON can offer you: Our success depends on the quality of our people. That’s why we’ve made it a priority to build a diverse culture that rewards high performance and nurtures talent. In addition to your competitive salary, ICON offers a range of additional benefits. Our benefits are designed to be competitive within each country and are focused on well-being and work life balance opportunities for you and your family. Our benefits examples include: - Various annual leave entitlements - A range of health insurance offerings to suit you and your family’s needs. - Competitive retirement planning offerings to maximize savings and plan with confidence for the years ahead. - Global Employee Assistance Programme, TELUS Health, offering 24-hour access to a global network of over 80,000 independent specialised professionals who are there to support you and your family’s well-being. - Life assurance - Flexible country-specific optional benefits, including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidised travel passes, health assessments, among others. Visit our careers site to read more about the benefits ICON offers. At ICON, inclusion & belonging are fundamental to our culture and values. We’re dedicated to providing an inclusive and accessible environment for all candidates. ICON is committed to providing a workplace free of discrimination and harassment. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please let us know or submit a request here. Interested in the role, but unsure if you meet all of the requirements? We would encourage you to apply regardless – there’s every chance you’re exactly what we’re looking for here at ICON whether it is for this or other roles. Are you a current ICON Employee? Please click here to apply

Powering the agentic revolution in travel. Sabre is an AI-native technology leader, backed by one of the world’s largest travel data clouds. Built on an open, modular, cloud-native architecture, Sabre serves as the backbone for both established leaders and bold, new disruptors, guiding them to the next age of travel retailing through intelligent, connected, and personalized experiences. With AI at its core and operating at unparalleled scale, Sabre transforms insights into innovation, empowering airlines, hoteliers, agencies and other partners to retail, distribute and fulfill travel worldwide. DATA SCIENCE ENGINEER Airline industry is going through a drastic transformation in the area of retailing and distribution that requires very advance data analytics support to optimize revenue performance and customer experience. Recently introduced concepts of Offer/Order Management and Continuous Dynamic Pricing significantly expand opportunities for en-gaging with travelers through multiple touch points and creating personalized offers accounting for individual preferences and market context. These practices can substantially benefit from a combination of statistical and machine learning techniques leveraging huge volumes and variety of consumer and competitive data available in airline industry. The Data Science Engineer applies expert level statistical analysis, data modeling, and predictive analysis on stra-tegic and operational problems in airline industry. As a key member of the Sabre Operations Research team, you will leverage your statistical and business expertise to translate business questions into data analysis and models, define suitable KPIs, and graphically present results to a wide range of audiences including internal and external clients, sales, and development team. In addition, you will source data from multiple different data sources, write high-quality data manipulation scripts in R, Python, Perl, bash, etc, develop and apply data mining and machine learning algorithms for advanced analysis and prediction. You will also utilize your strong communication skills to work with developers to support product development cycles and decision makers who need empirical data to promote sales and growth. Responsibilities - Work with subject matter experts from airlines to identify opportunities for leveraging data to deliver in-sights and actionable prediction of customer behavior and operations performance. - Assess the effectiveness and accuracy of new data sources, data gathering and forecasting techniques. - Develop custom data models and algorithms to apply to data sets and run proof of concept studies. - Leverage existing Statistical and Machine Learning tools to enhance in-house algorithms. - Collaborate with software engineers to implement and test production quality code for forecasting and data analytics models. - Develop processes and tools to monitor and analyze data accuracy and models’ performance. - Demonstrate software to customers and perform value proving benchmarks. Calibrate software for cus-tomer needs and train customer for using and maintaining software. - Resolve customer complaints with software and respond to suggestions for improvements and enhance-ments. Required Qualifications - Knowledge of airline revenue management algorithms and experience of developing demand forecasting and price optimization models - Advanced Degree in Statistics, Operations Research, Computer Science, Mathematics, Machine Learning or related Quantitative disciplines. - Proven ability to apply modeling and analytical skills to real-world problems. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statisti-cal tests and proper usage, etc.) and experience with applications. - Solid programming skills with knowledge of R, SQL, Python, PySpark or other data-extraction and analysis tools and programming languages such as Java, JavaScript or C++. - Experience with deployment of machine learning and statistical models on a cloud and leveraging services like Amazon SageMaker and Amazon Forecast. - Knowledge of airline revenue management algorithms and experience of developing demand forecasting and price optimization models - Desirable Qualifications - Familiarity with airline, hospitality or retailing industries and decision support systems employed there. - Experience developing customer choice models, price elasticity estimation and market potential estimation. - Understanding of airline distribution, pricing, revenue management, NDC and Offer/Order Management concepts. We will give careful consideration to your application and review your details against the position criteria. You will receive separate notification as your application progresses. Please note that only candidates who meet the minimum criteria for the role will proceed in the selection process.