Data Scientist United Kingdom

Applied Intuition Inc.; United Kingdom; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading SaaS company is looking for a Data Scientist to design and implement machine learning models for its core AI features. Candidates should have over three years of experience, expertise in Python and SQL, and a strong background in statistical modeling. The role involves collaborating with engineering and product teams and optimizing model performance. This position offers an opportunity to work in a growing and innovative environment focused on financial automation.

Qualifications

• 3+ years of experience in a Data Scientist or similar quantitative role.
• Expert proficiency in Python and SQL for data manipulation and analysis.
• Demonstrated experience with machine learning frameworks.
• Solid understanding of statistical modeling and experimental design.
• Experience with cloud platforms, preferably AWS.

Responsibilities

• Design, develop, and implement machine learning models.
• Maintain robust data pipelines for model training and inference.
• Collaborate with teams to deploy models and monitor performance.
• Conduct A/B testing and optimize model performance.

Skills

Python

SQL

Machine Learning

Statistical Modeling

Cloud Platforms

Problem Solving

Communication

Attention to Detail

Education

Bachelor’s Degree in a quantitative field

Tools

Scikit-learn

TensorFlow

PyTorch

AWS

Job description

Zone & Co is a leading SaaS company committed to freeing finance teams from the limitations of clunky, disparate systems and manual processes. Our rapidly growing portfolio of solutions is built on the oracle NetSuite platform (the leading cloud-based ERP software platform) and offers advanced automation and integration solutions to a wide spectrum of business-critical functions, including complex billing & revenue recognition, to off-the-shelf advanced reporting, Payroll, AP automation, payments, reconciliations, approvals and more.

Zone helps over 3,000 companies worldwide work smarter, faster and more securely, whilst maximizing platform value. We do this with a growing innovation-minded team of over two hundred folks, based across North America, Europe and Asia Pacific.

Data Scientist

What you'll do:

• 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.
• Model Development & Deployment: 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.
• Data Preparation & MLOps: 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.
• Active Learning & Optimization: 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.
• Strategic Partnership & Scoping: 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.
• Reporting & Communication: 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.
• Code Quality & Governance: 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.
• Technical Leadership: Evaluate and recommend new tools, technologies, and methods for the data science stack, and provide technical guidance on data science best practices.

What You'll Need:

• 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.

Product Enablement Manager

What you’ll do

Develop and execute product enablement strategies that drive adoption and customer outcomes.

Build scalable enablement resources (playbooks, onboarding programs, FAQs, certifications).

Partner cross-functionally with Product, Sales, Marketing, and Customer Success to translate product launches into effective enablement.

Deliver engaging training through workshops, webinars, and digital resources.

Ensure consistent product messaging and positioning across teams.

Create and maintain a product knowledge hub and up-to-date documentation.

Establish feedback loops between customer-facing teams and Product to improve adoption.

Track and analyze KPIs like adoption, retention, and sales productivity to refine programs.

Serve as a key advocate for the customer in product-related discussions.

What you’ll need

5+ years of experience in SaaS product enablement, product marketing, or product management.

Proven success building and scaling enablement programs in high-growth environments.

Excellent communication and presentation skills; ability to simplify complex ideas.

Experience with enablement and collaboration tools (LMS, CMS, knowledge bases, analytics).

Ability to manage multiple initiatives, influence cross-functional teams, and deliver in a fast-paced environment.

Bachelor’s degree in Business, Marketing, Communications, or related field (Master’s a plus).

Zone & 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.