Senior Engineer, Data Science

Thank you for considering a career at Ensemble Health Partners!

Ensemble Health Partners 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:

By embodying our core purpose of customer obsession, new ideas, and driving innovation, and delivering excellence, you will help ensure that every touchpoint is meaningful and contributes to our mission of redefining the possible in healthcare.

The Senior Engineer, Data Scientist is responsible for building AI and Machine learning models and pipelines, with a focus on generative AI, LLMs and predictive modelling. The successful 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

• 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.
• Collecting Data: Data scientists analyze business results or set up and manage new studies to collect relevant data.
• Data Transformation: They convert data into a suitable format for analysis.
• Framework Creation: Data scientists design experimental frameworks to collect data.
• Automating Data Collection: Building tools to automate data collection.
• Data Exploration: Searching through large datasets to extract useful information.
• Reporting and Presentations: Creating reports and presentations for business purposes and will present to Senior Leadership up to the C suite
• Lead and manage data science projects, ensuring timely delivery and high-quality outcomes.
• Develop and implement advanced machine learning models and algorithms to solve complex
• business problems.
• Correlation Analysis: Identifying actionable insights by correlating similar data points
• Mentor and guide junior data scientists, fostering a culture of continuous learning and development.
• Build, enhance and maintain the data models, interfaces and application integration required to support growing and changing business needs. contribute to the strategic direction of AI initiatives within the company

Employment Qualifications

Desired Work Experience

7 to 10 Years

Desired Education

Post Graduate Degree or Equivalent Experience

Other Preferred Knowledge, Skills and Abilities

• 7+ 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.
• 5+ years’ experience with Machine Learning ecosystem tools, including pytorch/tensorflow,
• Statistical Analysis: Proficiency in statistical techniques and tools.
• Machine Learning: Expert knowledge of machine learning algorithms and their applications.
• Programming: Expert programming skills (e.g., Python, R, or SQL).
• Expert in data manipulation and analysis using tools such as SQL, Pandas, and NumPy.
• Data Visualization: Ability to create meaningful visualizations.
• Ability to design, implement, test and deploy Machine Learning models.
• 7+ years of experience working with and evaluating LLM-based pipeline, with an emphasis on
• Advanced knowledge with langchain/llamaindex/haystack/Azure AI studio, vector databases
• Expert 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.
• Expertise in Software Development best practices such as Continuous Integration,
• Unit/Integration Testing, Code Reviews.
• In Depth 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.

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 Health Partners 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 Health Partners also prohibits harassment of applicants or employees based on any of these protected categories.

Ensemble Health Partners 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.

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