Data Scientist in London

Zone & Co is a leading SaaS company committed to freeing finance teams from clunky, disparate systems and manual processes. Our rapidly growing portfolio of solutions is built on the Oracle NetSuite platform and offers advanced automation and integration solutions to a wide spectrum of business-critical functions, including complex billing & revenue recognition, advanced reporting, Payroll, AP automation, payments, reconciliations, and more. Zone helps over 3,000 companies worldwide work smarter, faster and more securely, with a growing innovation-minded team of over two hundred people based across North America, Europe and Asia Pacific.

About the Job: The Data Scientist at Zone and Co is responsible for leveraging advanced analytical techniques and machine learning models to extract meaningful insights from AI and product related datasets. This role provides the core analytical expertise for Zone & Co's AI strategy, specifically focusing on building and scaling agent capabilities within core financial workflows (P2P, Q2C, R2R, Treasury). Key focus areas include AI evaluations, developing the models for the ZB Agent family, forecasting and devising Active Learning systems that enhance data extraction accuracy. The Data Scientist will collaborate closely with engineering, product, and business teams to identify opportunities, develop predictive models, and communicate findings effectively to technical and non-technical audiences.

Responsibilities

• Design, develop, and implement production-ready machine learning models and algorithms for core AI product features (e.g., Anomaly Detection, Forecasting, and Active Learning systems).
• Provide the core analytical expertise for the ZB Agent family by developing model logic that enables agent actions, decision-making, and scaling capabilities across financial workflows (P2P, Q2C, R2R, Treasury).
• Develop and maintain robust, scalable data pipelines and data processing systems necessary for model training, inference, and the continuous improvement of Active Learning.
• Collaborate with Engineering and Product teams to deploy models into production, perform AI evaluations, monitor performance, and communicate complex quantitative analysis and findings in a clear, actionable manner to stakeholders.
• Adhere to data governance and ethical AI principles, as well as all company policies and procedures.
• Design, build, and deploy production-ready predictive and prescriptive machine learning models (e.g., Anomaly Detection, Forecasting) that drive the ZB Agent family and core product features.
• Clean, transform, and preprocess raw data from NetSuite and other sources to ensure model readiness. Develop and implement MLOps strategies for robust model lifecycle management and continuous validation.
• Conduct A/B testing and leverage Active Learning principles to continuously monitor and optimize model performance, data pipelines, and efficiency for large-scale financial data processing.
• Partner with Product Managers and business stakeholders to define clear success metrics, translate business requirements into technical specifications, and effectively scope and manage project timelines.
• Build and maintain reports to track key performance indicators. Clearly and thoroughly document all analytical processes. Present findings and actionable recommendations to technical and executive audiences.
• Participate in code reviews and contribute to the team's shared codebase. Ensure ethical and compliant use of data and models, adhering to data privacy standards and supporting data governance initiatives.
• Evaluate and recommend new tools, technologies, and methods for the data science stack, and provide technical guidance on data science best practices.

Qualifications

• Must have 3+ years of experience in a Data Scientist or similar quantitative role.
• Bachelor’s Degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering) required, Master’s or PhD preferred.
• Expert proficiency in Python and SQL for data manipulation and analysis.
• Demonstrated experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
• Solid understanding of statistical modeling and experimental design.
• Experience with cloud platforms (e.g., AWS, Azure, GCP); AWS preferred.
• Ability to analyze and synthesize complex data into meaningful executive summary reports.
• Ability to innovate, execute and deliver results.
• Proficiency with Microsoft Office/Google Products.
• Strong attention to detail with the ability to meet tight deadlines.
• Ability to communicate professionally, both written and verbal.
• Effective problem solving and critical thinking skills.

Benefits

At Zone, our benefits are designed to enrich your life beyond the workplace. Recognizing that work is just a fraction of your overall life experience, we are dedicated to providing robust support. As a fully remote company, we prioritize flexibility and balance. Explore our comprehensive list of benefits at Zoneandco.com.

Zone and Co is an Equal Opportunity Employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity, or any other factor protected by applicable federal, state, or local laws. We strongly encourage candidates of all different backgrounds and identities to apply. This is an opportunity for us to bring in a different perspective and we’re eager to further diversify our company. Zone & Co is committed to building an equitable, inclusive, and supportive place for you to do some of the greatest work of your career.