
51 - 200 employees
Founded 2022
🏥 Healthcare
💼 Consulting
🤖 Artificial Intelligence
🔥 Funding within the last year
💰 $20M Series A - Arvo on 2025-09
Healthcare • Consulting • Artificial Intelligence
Arvo is an AI-powered platform that helps health insurers and operator-of-health-plans detect and prevent fraud, errors and waste in medical claims and reimbursements. The company applies advanced machine learning and image and document analysis to identify complex patterns and anomalies across large claims datasets, generate automated audit critiques, validate information and ensure regulatory and contractual compliance. Arvo delivers a plug-and-play SaaS solution integrated with insurers' systems to drive immediate cost savings and operational efficiency for payers.
🔥 5 minutes ago
🗣️🇧🇷🇵🇹 Portuguese Required
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51 - 200 employees
Founded 2022
🏥 Healthcare
💼 Consulting
🤖 Artificial Intelligence
🔥 Funding within the last year
💰 $20M Series A - Arvo on 2025-09
Healthcare • Consulting • Artificial Intelligence
Arvo is an AI-powered platform that helps health insurers and operator-of-health-plans detect and prevent fraud, errors and waste in medical claims and reimbursements. The company applies advanced machine learning and image and document analysis to identify complex patterns and anomalies across large claims datasets, generate automated audit critiques, validate information and ensure regulatory and contractual compliance. Arvo delivers a plug-and-play SaaS solution integrated with insurers' systems to drive immediate cost savings and operational efficiency for payers.
• Lead end-to-end data and AI initiatives with autonomy and broad business impact • Develop and validate statistical and machine learning models to detect fraud, abuse, and waste in healthcare payments • Design and evaluate LLM-based solutions (agents, pipelines, and evaluation approaches), using sound judgment to determine where they deliver the greatest value • Structure experiments and analyses by proposing hypotheses and systematically testing solutions • Translate poorly defined business problems into clear, measurable analytical solutions • Partner with data engineering to ensure the quality, integrity, and accessibility of the data that supports the models • Communicate findings and recommendations clearly and objectively to a range of technical and business stakeholders • Lead initiatives that combine modeling, LLM agents, and Arvo’s data platform to analyze medical bills at scale and generate savings for clients • Partner closely with the Business, Health, and Data Engineering teams • Play an active role in the technical development of colleagues
• Degree in Engineering, Mathematics, Statistics, or a related field • Strong experience in applied statistical modeling and/or machine learning • Advanced proficiency in Python for data analysis and model development • Hands-on experience using LLMs in analytical or product solutions, including prompting, evaluation, agents, or pipelines • Experience manipulating and querying SQL databases • Analytical and scientific mindset, with a track record of solving complex and ambiguous problems using data • Strong communication skills for engaging with diverse stakeholders and translating business requirements into analytical solutions • Preferred: experience in healthtech or with healthcare data • Preferred: knowledge of ETL tools • Preferred: familiarity with Google Cloud (GCP) and BigQuery • Preferred: experience evaluating and monitoring LLM-based systems
• 13th-month salary: prorated based on the number of months worked during the year • Paid vacation: 22 business days • Additional one-third vacation bonus • Bradesco Saúde Nacional II (TNMI) health insurance • Meal and food allowance: BRL 1,080 through Flash • Wellhub (formerly Gympass) access • Remote position
Apply Now🕒 July 10
Data Scientist contributing to portfolio optimization solutions and statistical validation at Grupo Boticário, a global beauty leader. Leading data-driven decision-making projects in a collaborative environment.
🗣️🇧🇷🇵🇹 Portuguese Required