Role Description - Design and implement data models for identity graph analysis using Python and PySpark. - Develop and optimize algorithms to enhance the accuracy of identity verification processes. - Collaborate with cross-functional teams to integrate data solutions into existing systems. - Utilize Vector Store and NeptuneDB to manage and analyze large datasets effectively. - Create visualizations and reports that communicate insights to stakeholders. - Conduct experiments and A/B testing to evaluate the performance of machine learning models. - Stay updated on industry trends and emerging technologies to continuously improve data strategies. Qualifications - 5+ years of experience in data science or machine learning engineering roles. - Proficiency in Python and PySpark for data manipulation and analysis. - Experience with Vector Store and graph databases, particularly NeptuneDB. - Strong understanding of SQL for data querying and management. - Familiarity with OpenCypher and GraphFrames for graph data processing. Requirements - Experience with Databricks for collaborative data engineering and analytics. - Knowledge of cybersecurity principles and practices related to identity verification. - Familiarity with machine learning frameworks and libraries. Benefits - The base salary for this role ranges from $170K to $205K, accompanied by competitive equity options. - Join a dynamic team that values innovation and offers opportunities for professional growth and development. Company Description We're representing a leading provider of digital identity verification and fraud solutions. This company is at the forefront of leveraging advanced technology to ensure security and trust in digital transactions across various industries. With a commitment to innovation and excellence, they are poised to make a significant impact in the realm of identity management.

• Lead design and implementation of advanced data science algorithms that improve merchandising and pricing business decisions, including building models for Demand forecasting, Assortment optimization, Price elasticity, and Inventory allocation and replenishment. • Designing and deploying demand forecasting algorithms that go beyond univariate time series to multivariate and hierarchical forecasts for predicting long range, multi-echelon sales forecasting. • Develop & Implement AI/ML driven assortment selection algorithms that learn from user behavior & preferences. • Collaborate with product & data engineers to identify data for modeling, and transform datasets as required for effective modeling. • Build, scale and deploy robust Machine Learning models leveraging Classification, Regression, and Clustering. • Develop models to process historical and large datasets to understand model Price elastic demand for products, categories, channels and customer segments using predictive and causal modeling techniques. • Collaborate with analytics, product and business teams to champion a test-and-learn approach.

The pay for this position is between $100,000 and $115,000 annually. Data Scientist Position Overview The Data Scientist is responsible for advanced analytics, modeling, and predictive insights that support strategic planning, program evaluation, risk identification, and long-term organizational decision making. This role builds on the foundation of reliable reporting and well defined metrics to move the organization from descriptive reporting to forward looking analysis. This position focuses on identifying trends, patterns, and relationships in data that are not immediately visible through standard reporting and translating those findings into actionable insight for leadership. The Data Scientist role is not focused on routine reporting. It is focused on deeper analytical questions, scenario modeling, and strategic insight. Core Responsibilities Advanced Analytics and Modeling • Develop predictive and statistical models related to utilization, outcomes, staffing, access, and financial performance • Perform trend analysis and pattern detection across clinical, operational, and financial datasets • Support forecasting, capacity planning, and scenario analysis for leadership • Identify risk indicators and early warning signals relevant to programs and operations Strategic and Program Evaluation • Partner with Quality leadership to evaluate program effectiveness and outcome trends • Support Finance with long term financial modeling and impact analysis • Assist leadership with data driven evaluation of new initiatives and service changes • Support funding stream analysis, performance monitoring, and outcome measurement - Collaborates with Quality and Clinical leadership to identify and synthesize data and data trends into actionable operational frameworks - Works in collaboration with quality and training team members as a translator between non technical stakeholders and technical teams Technical Collaboration and Architecture • Work closely with data engineering and IT to design scalable analytical solutions • Define data requirements for advanced analytical use cases • Evaluate and integrate new data sources as needed • Ensure analytical models are reproducible, documented, and interpretable Communication and Insight Delivery • Translate complex analytical results into clear, actionable recommendations • Present findings to technical and non-technical audiences • Create visualizations and summaries that support executive decision making • Document methodologies, assumptions, and limitations Required Qualifications - Master’s degree in data science, statistics, applied mathematics, analytics, or related field or commensurate experience • Strong experience with statistical analysis and modeling techniques • Proficiency in Python, R, or similar analytical languages • Experience working with large, complex datasets • Strong understanding of data structures and analytical workflows • Ability to clearly communicate complex concepts to diverse audiences Preferred Qualifications - Experience in healthcare, behavioral health, or human services analytics • Experience with predictive modeling in regulated or mission driven environments • Familiarity with EMR or EHR data • Experience supporting executive level decision making

Principal Safety Scientist - Poland or Bulgaria - homebased 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 We are currently seeking a Principal Safety Scientist to join our diverse and dynamic team. As a Principal Safety Scientist at ICON, you will be responsible for leading safety assessments and pharmacovigilance activities to ensure the safety and efficacy of pharmaceutical products. Your expertise will be essential in driving the development of risk management strategies and ensuring compliance with regulatory requirements. What You Will Be Doing: - Lead signal detection and safety surveillance activities, ensuring timely identification, evaluation, and documentation of safety signals - Manage and coordinate aggregate safety reports (e.g. PSUR, DSUR), including planning, data review, and authoring/review - Author and oversee Risk Management Plans (RMPs) and support implementation of risk minimisation strategies - Design and conduct literature searches and reviews to support safety monitoring and regulatory requirements - Act as a pharmacovigilance lead on projects, partnering with cross-functional teams and clients - Provide scientific input and review of key safety documents (e.g. IB, CCDS/CCSI, protocols, ICSRs) - Contribute to process improvements, compliance activities, and mentoring of junior team members Your Profile: - 5+ years of experience in Pharmacovigilance / Drug Safety - Advanced degree in life sciences, pharmacology, or a related field; relevant certifications preferred. - Strong expertise in signal detection, safety surveillance, and aggregate reporting - Proven experience in authoring Risk Management Plans (RMPs) - Proven ability to analyze complex safety data and make informed decisions based on scientific evidence. - Excellent communication and interpersonal skills, enabling effective collaboration with diverse teams and external stakeholders. - A commitment to maintaining high standards of quality and compliance in all safety-related activities. #LI-MK1 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