Thank you for considering a career at Ensemble! Ensemble is a leading provider of technology-enabled revenue cycle management solutions for health systems, including hospitals and affiliated physician groups. They offer end-to-end revenue cycle solutions as well as a comprehensive suite of point solutions to clients across the country. Ensemble keeps communities healthy by keeping hospitals healthy. We recognize that healthcare requires a human touch, and we believe that every touch should be meaningful. This is why our people are the most important part of who we are. By empowering them to challenge the status quo, we know they will be the difference! O.N.E Purpose: - Customer Obsession: Consistently provide exceptional experiences for our clients, patients, and colleagues by understanding their needs and exceeding their expectations. - Embracing New Ideas: Continuously innovate by embracing emerging technology and fostering a culture of creativity and experimentation. - Striving for Excellence: Execute at a high level by demonstrating our “Best in KLAS” Ensemble Difference Principles and consistently delivering outstanding results. The Opportunity: Thank you for considering a career at Ensemble Health Partners! Healthcare impacts each of us, yet the current system remains fundamentally broken. Many of us have seen loved ones face the devastating challenge of unaffordable care. At Ensemble, we are committed to changing this reality by driving down healthcare costs and eliminating obstacles, creating a system that truly puts people first, last, and always. We are dedicated to revolutionizing healthcare with cutting-edge, technology-enabled revenue cycle management solutions for health systems. We’re here to solve how to reduce the friction and improve the cost of healthcare for better client and patient outcomes. As a leader in revenue technology, Ensemble is redefining what is possible in healthcare through innovation, purpose and human-centered solutions. We offer end-to-end revenue cycle solutions as well as a comprehensive suite of point solutions to clients across the country. Why do we do what we do? It’s all about our O.N.E Purpose: Our commitment to transforming healthcare goes beyond technology and innovation. It’s rooted in a purpose-driven approach that emphasizes customer obsession, embraces new ideas, and strives for excellence—principles that define our O.N.E Purpose and inspire everything we do. - Customer Obsession: Consistently provide exceptional experiences for our clients, patients, and colleagues by understanding their needs and exceeding their expectations. - Embracing New Ideas: Continuously innovate by embracing emerging technology and fostering a culture of creativity and experimentation. - Striving for Excellence: Execute at a high level by demonstrating our “Best in KLAS” Ensemble Difference Principles and consistently delivering outstanding results. The Opportunity: Enabling healthcare professionals with technological solutions is key to the future of healthcare, and at Ensemble, we are solving problems in healthcare with AI. Are you passionate about leveraging AI to solve complex problems in healthcare? Do you want to be part of a team that is transforming the industry with cutting-edge technology? Join Ensemble Health Partners to leverage the superpower of AI to solve some of the most complex problems in healthcare. Why Join Us? - People First, Last + Always: At Ensemble, we prioritize people over processes, valuing your contributions, supporting your growth and enabling you to make a difference every day. - Make a Difference with Purposeful Work: By leveraging cutting-edge AI technology, you will play a vital part in reducing healthcare costs, revolutionizing care delivery and enhancing the patient experience. - Innovate Boldly in a Dynamic Environment: Thrive in a dynamic, entrepreneurial culture within an organization that champions creativity and groundbreaking ideas. - Shape the Future of Healthcare Across a Robust Client Base: Drive change across a vast client base, empowering healthcare systems at an unprecedented pace. When you innovate here, the ripple effect is enormous. - Technology-Driven Innovation: Since 2021, our patented innovations and EIQ has reshaped healthcare through cutting-edge innovation. Job Summary Take on a pivotal role in addressing healthcare’s toughest challenges with advanced AI solutions. As a Senior Data Scientist, you’ll build AI and Machine learning models and pipelines, with a focus on generative AI, LLMs and predictive modelling. predictive analytics. Your work will enable hospitals and health systems to operate more efficiently and deliver better patient outcomes. The successful Senior Data Scientist candidate will work closely with business and product owners to understand their data requirements and product specification in order to help them make data-related decisions and product design choices. The role will also require close work with software engineers and developers to deliver solutions. The job role may also require you to learn new tools and technologies fast, which will be well supported by in-depth ML/AI knowledge as well as basic programming and scripting skills. You should have practical experience in the design, development, management, and maintenance of systems and handling of large datasets. You should have hands on experience with common machine learning and AI frameworks, and a good knowledge of AI and machine learning fundamentals (deep learning, regression, classification and clustering algorithms), retrieval augmented generation pipelines, as well as a good grasp of the design and evaluation of LLM-supported use cases. Essential Job Functions - Frequent travel may be required - Lead AI strategy by delivering solutions that combine software engineering, statistics, and machine learning effectively for complex clinical applications. - Execute deep, thoughtful, analytical experiments that utilize the most appropriate techniques and lead to substantial incremental improvements. - Deliver excellent reports and presentations to highlight relevant hypothesis and insights that drive decision making within the organization. - Identify, collect, transform and explore data to become the resident expert on available data within the organization. - Coordinate between Engineers and Product Analysts and the broader organization to facilitate seamless collaboration. Other Preferred Knowledge, Skills and Abilities - Ability to travel as needed - 3+ years experience working in data scientist capacity. - PhD or MSc in Computer Science/Machine Learning/AI, or related work experience with the design, building and evaluation of Machine Learning systems. - 3+ years’ experience with Machine Learning ecosystem tools, including pytorch/tensorflow, scikit-learn, xgboost or equivalents. - Statistical Analysis: Proficiency in statistical techniques and tools. - Machine Learning: Knowledge of machine learning algorithms and their applications. - Programming: Strong programming skills (e.g., Python, R, or SQL). - Data Visualization: Ability to create meaningful visualizations. - Ability to design, implement, test and deploy Machine Learning models. - Experience working with and evaluating LLM-based pipeline, with an emphasis on retrieval augmented generation and prompting techniques is a plus. - Familiarity with langchain/llamaindex/haystack/Azure AI studio, vector databases and retrieval techniques, or equivalent common tools in the emerging LLM-enabled tech stack is a plus. - Proficiency in accessing and handling databases via SQL, Azure Data Factory or similar. - Alternatively, familiarity with data storage/management systems or Big Data frameworks (like Hadoop, Spark) expected to be known or used. - Proficiency in Software Development best practices such as Continuous Integration, Unit/Integration Testing, Code Reviews. - Understanding of MLOps fundamentals, including orchestration tools, cloud compute, and observability tools. - Knowledge of Revenue Cycle Management, Collections, or financial industries is desirable but not necessary. - Ability to work both independently and in a team-based, fast-paced environment. - Excellent communication skills, both written and verbal. Desired Work Experience - 5 to 7 Years - Must be inquisitive and demonstrate openness to innovation including AI to explore better processes and ways to alleviate friction and improve patient and client experiences. - This is a remote position; however, candidates must be willing and able to travel to and work onsite at client, temporary, or corporate office locations as business needs require. Desired Education - Post Graduate Degree or Equivalent Experience CAREER OPPORTUNITY OFFERING: - Bonus Incentives - Paid Certifications - Tuition Reimbursement - Comprehensive Benefits - Career Advancement - This position pays between $83,200 - $159,450 based on experience #LI-MT1 #LI-Remote Join an award-winning company Five-time winner of “Best in KLAS” 2020-2022, 2024-2025 Black Book Research's Top Revenue Cycle Management Outsourcing Solution 2021-2024 22 Healthcare Financial Management Association (HFMA) MAP Awards for High Performance in Revenue Cycle 2019-2024 Leader in Everest Group's RCM Operations PEAK Matrix Assessment 2024 Clarivate Healthcare Business Insights (HBI) Revenue Cycle Awards for strong performance 2020, 2022-2023 Energage Top Workplaces USA 2022-2024 Fortune Media Best Workplaces in Healthcare 2024 Monster Top Workplace for Remote Work 2024 Great Place to Work certified 2023-2024 - Innovation - Work-Life Flexibility - Leadership - Purpose + Values Bottom line, we believe in empowering people and giving them the tools and resources needed to thrive. A few of those include: - Associate Benefits – We offer a comprehensive benefits package designed to support the physical, emotional, and financial health of you and your family, including healthcare, time off, retirement, and well-being programs. - Our Culture – Ensemble is a place where associates can do their best work and be their best selves. We put people first, last and always. Our culture is rooted in collaboration, growth, and innovation. - Growth – We invest in your professional development. Each associate will earn a professional certification relevant to their field and can obtain tuition reimbursement. - Recognition – We offer quarterly and annual incentive programs for all employees who go beyond and keep raising the bar for themselves and the company. Ensemble is an equal employment opportunity employer. It is our policy not to discriminate against any applicant or employee based on race, color, sex, sexual orientation, gender, gender identity, religion, national origin, age, disability, military or veteran status, genetic information or any other basis protected by applicable federal, state, or local laws. Ensemble also prohibits harassment of applicants or employees based on any of these protected categories. Ensemble provides reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law. If you require accommodation in the application process, please contact TA@ensemblehp.com. This posting addresses state specific requirements to provide pay transparency. Compensation decisions consider many job-related factors, including but not limited to geographic location; knowledge; skills; relevant experience; education; licensure; internal equity; time in position. A candidate entry rate of pay does not typically fall at the minimum or maximum of the role’s range. EEOC – Know Your Rights FMLA Rights - English La FMLA Español E-Verify Participating Employer (English and Spanish) Know your Rights

• Develop, maintain, and improve machine learning models for document verification use cases such as document classification, image quality assessment, field extraction, and fraud detection. • Independently implement and evaluate deep learning architectures, including CNNs and transformer-based vision or multimodal models. • Own well-defined components of end-to-end ML pipelines, including data preparation, model training, evaluation, and deployment to production. • Perform in-depth error analysis, model diagnostics, and performance optimization, and propose data- or model-driven improvements. • Contribute to technical design discussions, code reviews, and modeling best practices across the team. • Write production-quality, maintainable code and contribute to shared ML tooling and infrastructure. • Collaborate with engineering and product partners to ensure models meet product, performance, and reliability requirements.

• Design, develop, and own advanced deep learning models, including CNNs and transformer-based vision or multimodal architectures, for document verification use cases such as document classification, fraud detection, image quality assessment, field extraction, and authenticity checks. • Own ML solutions end to end, from data analysis and model training to deployment, monitoring, and continuous improvement in production. • Act as a technical point of contact for customers, leading technical deep dives, explaining model behavior, performance metrics, and tradeoffs, and supporting customer evaluations or escalations. • Translate customer, regulatory, and business requirements into clear modeling objectives, and communicate results effectively to both technical and non-technical stakeholders. • Partner closely with engineering and product teams to deliver scalable, reliable document verification systems.

Introduction About SymphonyAI SymphonyAI is a leading global enterprise AI SaaS company transforming industries through proven, predictive and generative AI solutions. We partner with leading global organizations, consultancies and global system integrators (GSIs) to accelerate innovation and go-to-market velocity at scale. Serving Fortune 500 companies across Retail/CPG, Financial Services, Manufacturing, Media, and IT/Enterprise Service Management, we deliver measurable business outcomes through cutting-edge technology and deep domain expertise. Join our global team of innovators and help shape the future of AI-powered enterprise solutions in a collaborative, high-growth environment where your work creates real-world impact. Job Description The Opportunity: This Data Scientist role offers the chance to make meaningful research and development contributions within a cutting‑edge machine learning environment. You’ll work closely with AI Researchers and Data Scientists to advance the core Sensa platform by building, evaluating, and deploying sophisticated machine learning models. A big part of the position involves staying current with the latest scientific literature, helping shape future R&D initiatives, and co‑authoring research-oriented white papers. Day‑to‑day, you’ll work with extremely large datasets, contribute to production‑level code, and support ML/Data Engineers with model deployment and pipeline configuration. The position is well‑suited for someone with a strong mathematical and statistical foundation in machine learning, high proficiency in Python and its data ecosystem, and the ability to operate both independently and collaboratively in a fast‑paced startup setting. Candidates with experience in Kubernetes, Kubeflow, Dask, Rapids, blockchain technologies, DeFi, or financial crime analytics (AML, fraud, trade surveillance) will stand out, though these skills are considered bonuses rather than requirements. Responsibilities: - Make research and development contributions to our core product offerings. - Collaborate on research machine learning white papers. - Continuously review the latest scientific papers and contribute ideas for future R&D projects. - Build, evaluate and deploy machine learning models using the Sensa platform. - Collaborate with AI Researchers in R&D - Collaborate with other Data Scientists on Sensa deployment projects. - Support ML and Data Engineers with models and pipeline deployment and configurations. - Perform data analysis on extremely large tabular data. Key Requirements: - Bachelor’s degree in computer science, information technology, engineering, mathematics, statistics, or physics. - Deep knowledge of the statistical and mathematical basis of machine learning algorithms. - High proficiency in Python, Pandas, NumPy, and scikit-learn. - Ability to contribute to production codebase. - The capability to work independently in a fast-paced start-up environment. - The ability to collaborate well with other data scientists and machine learning engineers. - Willingness to learn new technologies on the job. - Experience using Github. Bonus Requirements: - Knowledge of Kubernetes, Kubeflow, Dask, and Rapids. - Knowledge of Blockchain, DeFi, and DAGs. - Knowledge of Anti Money Laundering, Financial Fraud, and Trade Surveillance. #LI-Remote About Us Who We Are SymphonyAI is building the leading enterprise AI SaaS company for digital transformation across the most critical and resilient growth industries, including retail, consumer packaged goods, financial crime prevention, manufacturing, media, and IT service management. Since its founding in 2017, SymphonyAI today serves 1600+ Enterprise customers globally and has grown to 2,300 talented leaders, data scientists, and other professionals across over 30 countries.