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Sage Interview Questions

A/B Testing

Algorithms

Analytics

Machine Learning

Probability

Product Metrics

Python

Statistics

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Suppose there exists a new airline named Jetco that flies domestically across North America. Jetco recently had a study commissioned that tested the boarding time of every airline, and it came out that Jetco had the fastest average boarding times of any airline.

What factors could have biased this result, and what would you look into?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

Boarding Times Bias

A new airline came out as the fastest average boarding times compared to other airlines.  What factors could have biased this result and what would you look into?

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

What is a key disadvantage of the F-test when compared to multiple t-tests?

What is a key disadvantage of the F-test when compared to multiple t-tests?

Hundreds of Hypotheses

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

In an A/B test, how can you check if assignment to the various buckets was truly random?

In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?

In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?

Random Bucketing

A/B Testing & Experimentation

Sage Salaries by Position

Sage Artificial Intelligence Labs "SAIL" is a nimble team within Sage building the future of cloud business management by using artificial intelligence to turbocharge our users' productivity. The SAIL team builds capabilities to help businesses make better decisions through data-powered insights. As a part of our team, you will be crafting machine learning solutions to help steer the direction of the entire company’s Data Science and Machine Learning effort. You will have chances to innovate, contribute and make an impact on the rapidly growing FinTech industry. You will have overall technical ownership of designing, developing, delivering, and maintaining high quality machine learning solutions that contribute to the success of Sage and contributes intelligence to its products. If you share our excitement for machine learning, value a culture of continuous improvement and learning and are excited about working with cutting edge technologies, apply today! This is a hybrid role – three days per week in our Newcastle office. You might work on: <ul><li>Building, experimenting, training, tuning, and shipping machine learning models in the areas of: classification, clustering, time-series modelling and forecasting.</li><li>Define and develop metrics and KPIs to identify and track success</li><li>Working with product managers and engineers to translate product/business problems into tractable machine learning problems and drive the ideas into production using machine learning</li><li>Collaborate with architects and engineers to deliver ML solution and ship code to production</li><li>Take an active role within the team to contribute to its objectives and key results (OKRs) and to the wider AI strategy</li><li>Adopt a pragmatic and innovative approach in a lean, agile environment</li><li>Presenting findings, results, and performance metrics to stakeholders.</li></ul> Technical/professional Qualifications <ul><li>Deep understanding of statistical and machine learning foundations</li><li>Excellent analytical, quantitative, problem-solving and critical thinking skills</li><li>Ability to understand from first-principles the entire lifecycle: training, validation, inference, etc.</li><li>Experience designing, developing and scaling machine learning models in production</li><li>Ability to assess and translate a loosely defined business problem and advise on the best approaches to deliver quality Machine Learning solutions</li><li>Strong technical leadership with the ability to see project initiatives through to completion</li><li>Extensive industry experience training and shipping production machine learning models.</li><li>Proficiency with Python, R, Pandas and ML frameworks such as scikit-learn, PyTorch, TensorFlow etc</li><li>MS in Computer Science, Electrical Engineering, Statistics, Physics, or similar quantitative field.</li><li>Strong theoretical and mathematical foundations in linear algebra, probability theory, multivariate optimization.</li><li>Have a strong intuition into different modelling techniques and their suitability to different problems.</li><li>Experience communicating projects to both technical and non-technical audiences.</li></ul> Preferred Qualifications: <ul><li>PhD in Computer Science, Electrical Engineering, Statistics, Physics, or similar quantitative fields.</li><li>Experience with NLP and applying ML in the Accounting/Finance domain a plus</li><li>Experience wrangling data, writing SQL queries and basic scripting.</li><li>Deep experience with: logistic regression, gradient descent, regularization, cross-validation, overfitting, bias, variance, eigenvectors, sampling, latency, computational complexity, sparse matrices.</li></ul> You may be a fit for this role if you: <ul><li>You’re comfortable investigating open-ended problems and coming up with concrete approaches to solve them.</li><li>You don't only use machine learning models but can implement many machine learning and statistical learning models from scratch and know when/how to apply them to real world noisy data.</li><li>You’re a deeply curious person and eager to learn and grow.</li><li>You often think about applications of machine learning in your personal life</li></ul> What's it like to work here You will have an opportunity to work in an environment where Data Science is central to what we do. The products we build are breaking new ground, and we have a focus on providing the best environment to allow you to do what you do best - solve problems, collaborate with your team and push first class software. Our distributed team is spread across multiple continents, we promote an open diverse environment, encourage contributions to open-source software and invest heavily in our staff. Our team is talented, capable and inclusive. We know that great things can only be done with great teams and look forward to continuing this direction.

Job Description We are currently seeking a Frontend Software Engineer to take responsibility for building, enhancing, and maintaining products or systems that support Sage’s business plans and long-term objectives, using the identified architecture. As a Frontend Software Engineer at Sage, you will design, develop, and deploy the frontend components for our internal AI-driven data products and platforms. You’ll work closely with cross-functional teams, including data engineers, AI engineers, analysts, and business stakeholders, and drive the frontend execution of solutions that deliver measurable value. *** Please note that this role is hybrid and will require you to work 3 days a week from our Newcastle office. *** <ul><li> Spearhead the development of modern, responsive user interfaces for our internal data platforms.</li><li> Enhance user experience by improving layouts, navigation, and interactions, and translate designs into high-quality, production-ready, cross-browser code.</li><li> Maintain frontend development standards and best practices, including reusable components, documentation, and performance optimization</li><li> Ensure design consistency by utilizing SASS/SCSS, Tailwind CSS, or similar styling methodologies. </li></ul>Requirements <ul><li> Proficiency in React and TypeScript.</li><li> Ability to translate wireframes (e.g., Figma) and design specifications into high-quality, production-ready code with cross-browser and device compatibility.</li><li> Experience working in a SaaS environment.</li><li> Exposure to Bedrock LLM models; experience with Machine Learning is desirable but not essential. </li></ul>

Job Description Join our People Analytics Centre of Excellence and help transform how we understand and leverage workforce data across the business. In this role, you’ll build advanced analytics, machine learning models, and AI-driven solutions that empower leaders to make evidence-based decisions about talent, performance, and the future of work. This is a hybrid role working 3 days a week in the office and 2 from home. <ul><li> Develop predictive and prescriptive people analytics models (attrition, skills, workforce planning, D&I insights, forecasting).</li><li> Translate workforce challenges into experiments, insights, and actionable recommendations.</li><li> Build AI-powered HR solutions, including NLP, generative AI, and LLM applications.</li><li> Conduct ONA, workforce segmentation, and employee sentiment analysis.</li><li> Partner with HRIS, engineering, and business teams to design scalable data pipelines and deploy ML/AI models.</li><li> Create dashboards and visualisations that bring workforce insights to life for leaders.</li><li> Support evidence-based decision-making across HR and the wider business. </li></ul>Skills And Requirements <ul><li> Strong proficiency in Python (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow, and experience with AI frameworks for deep learning and generative models) and SQL.</li><li> Experience working with HR data sources (Workday, SuccessFactors, Oracle HCM, LinkedIn Talent Insights, etc.) or related workforce datasets.</li><li> Knowledge of people analytics methodologies such as attrition modelling, pay equity analysis, employee lifetime value, skills inference, or organisational network analysis.</li><li> Familiarity with big data frameworks (Spark, Databricks, Dask) and cloud platforms (AWS, Azure, GCP).</li><li> Knowledge of Snowflake and experience integrating with HR and business data.</li><li> Familiarity with MLOps principles, CI/CD, and deploying ML and AI models in production environments, including monitoring and retraining pipelines.</li><li> Strong understanding of machine learning algorithms for classification, regression, clustering, and time series forecasting, plus exposure to advanced AI techniques such as natural language processing (NLP), large language models (LLMs), and generative AI.</li><li> Experience with data visualisation tools (Tableau, Power BI, or Python-based libraries).</li><li> Excellent problem-solving skills and ability to translate complex technical analyses into clear, actionable insights for non-technical audiences.</li><li> Familiarity with vector databases, embedding-based retrieval, and prompt engineering to support AI-enabled HR solutions.</li><li> Understanding of ethical AI principles, bias detection, and responsible AI practices in HR contexts. </li></ul>Technical / Professional Qualifications <ul><li> Degree in a quantitative discipline (applied mathematics, statistics, computer science, economics, organisational psychology, or related field).</li><li> Demonstrable experience in exploratory data analysis, feature engineering, and predictive modelling.</li><li> Experience with Python, Scikit-learn, and PyTorch. Ideally with exposure to PySpark, Snowflake, AWS, and GitHub (MLOps practices).</li><li> Knowledge of AI model evaluation techniques, including prompt optimisation and performance benchmarking. </li></ul>Your benefits (Only Applicable for UK Based Roles) Benefits video – https://youtu.be/TCMtTYUUiuU <ul><li> Generous bonuses and pension scheme: Up to 8% matched pension contribution plus 2% top-up by Sage.</li><li> 25 days of paid annual leave with the option to buy up to another 5 days</li><li> Paid 5 days yearly to volunteer through our Sage Foundation</li><li> Enhanced parental leave</li><li> Comprehensive health, dental, and vision coverage</li><li> Work away scheme for up to 10 weeks a year</li><li> Access to various helpful memberships for finances, health and wellbeing </li></ul>

Job Description We are currently seeking a Global Product Manager to drive the strategy, development and growth of our market-leading embedded solutions. As a Global Product Manager at Sage, you'll play a key role in defining how our core capabilities are seamlessly integrated into third-party platforms (such as large banks, fintechs, and industry-specific software), unlocking new distribution channels and revenue streams. Reporting to the Product Strategy Director, you will own the end-to-end product lifecycle for our embedded offerings, turning market insights into clear and impactful product roadmaps. *** Please note that this role is hybrid and will require you to work 3 days a week from our Newcastle office. *** <ul><li> Define and articulate the global product strategy and vision for embedded services, aligning with growth objectives and market opportunities.</li><li> Manage the embedded services product roadmap from ideation to launch, in alignment with partner needs, market demands, and internal capabilities.</li><li> Conduct market research and competitor analysis to identify unmet needs, trends, and opportunities for embedded solutions.</li><li> Collaborate with Sales and Marketing teams to understand partner needs and develop specifications, user stories, messaging, and launch plans for successful adoption.</li><li> Define requirements for embedded APIs, SDKs, and microservices, ensuring they are scalable, secure, and easy for partners to integrate.</li><li> Set KPIs for embedded services and regularly track performance, refining them based on data and feedback.</li><li> Develop and optimize monetization strategies for embedded services to maximize revenue potential. </li></ul>Requirements <ul><li> Proven experience as a Product Manager in SaaS or B2B software; experience with accountancy or payroll products is a plus.</li><li> Background in defining global product strategies and managing roadmaps from ideation to launch.</li><li> Experience conducting market research and competitive analysis to identify unmet needs, trends, and strategic opportunities.</li><li> Familiarity with AI-driven solutions is a plus.</li><li> Strong understanding of technical processes, such as APIs. </li></ul>

Job Description Sage is a forward-thinking technology company that specializes in software. The team you'd be applying for models itself on creating a robust culture of belonging. We pride ourselves on fostering a fast-paced, innovative environment where experimentation and continuous improvement are highly valued. Our infrastructure is built on AWS, enabling us to deliver robust and scalable solutions to our clients. You will be supported by being positioned in a squad with a strong lead, principal, senior, mid-level and graduate engineers who will support your growth as well as a leader who will invest in your career. The Senior Software Engineer is responsible for building, enhancing and maintaining products and/or systems to enable Sage’s business plans and long-term objectives using the identified architecture. ***This is a hybrid role – three days per week in our Manchester office*** Design, develop, and maintain scalable and high-performance APIs and backend services using C#, .NET. <ul><li> Collaborate with global teams across Sage, to define, design, deliver and maintain services across the Accountants Business Unit.</li><li> Work cross-functionally with various Sage teams: Product management, QA/XD, various product lines and business units to deliver for our customers.</li><li> Ensure the performance, quality, and responsiveness of applications.</li><li> Resolve defects/bugs during QA testing, pre-production, production, and post-release patches.</li><li> Help maintain code quality, organization, and automatization.</li><li> Utilize AWS services to build, deploy, and manage applications.</li><li> Experiment with new technologies and methodologies to improve our development processes and product offerings.</li><li> Participate in code reviews, providing constructive feedback to peers.</li><li> Maintain relevant documentation to describe logic, coding/configuration, testing and changes where applicable.</li><li> Contribute to the continuous improvement of our software development lifecycle.</li><li> Be an active and enthusiastic team player. Partner effectively with all team members to deliver against commitments. </li></ul>What we're looking for: <ul><li> Extensive experience in software development with a focus on C#, .NET</li><li> Some experience of REACT development desirable</li><li> 5+ years of experience in a similar role</li><li> Experienced in building and consuming APIs and backend services.</li><li> Knowledge of AWS services (e.g., EC2, S3, RDS, Lambda, API Gateway, Document DB etc.)</li><li> Proven experience with Agile Development, SCRUM, and/or Extreme Programming methodologies</li><li> Experience with relational databases would be beneficial (e.g., SQL Server, MySQL) and/or NoSQL databases (e.g., DynamoDB, MongoDB).</li><li> Experience with version control in Git and CI/CD pipelines.</li><li> Strong problem-solving skills and attention to detail.</li><li> Ability to work effectively in a fast-paced, agile environment.</li><li> Good communication and collaboration skills.</li><li> Bachelor's degree in computer science, Engineering, or a related field, or equivalent work experience. </li></ul>

Job Description The job purpose of a Product Business Analyst is to bridge the gap between business needs and technical solutions. They play a crucial role in understanding and analyzing business requirements, translating them into actionable insights, and ensuring that the product development aligns with the overall business objectives. Their primary goal is to facilitate the delivery of high-quality products that meet customer needs and drive business growth. This involves collaborating with various stakeholders, including development teams, product managers, and subject matter experts, to ensure that the product vision is effectively communicated and implemented. *** This is a hybrid position - working 3 days a week from our Winnersh office. *** Key accountabilities and decision ownership: <ul><li> Domain Knowledge: Knowledge of the product, the business area or an area of legislation</li><li> Requirement Gathering and Analysis: Collaborate with stakeholders to gather, analyze, and document business requirements. Act as a liaison between business stakeholders and technical teams to ensure clear communication and understanding.</li><li> Solution Design: Translate business needs into functional specifications and design solutions that align with business objectives.</li><li> Data Analysis and improvements: Analyze data to identify trends, insights, and opportunities for product or process improvements. Evaluate product performance and recommend solutions to enhance efficiency and effectiveness.</li><li> Project Management Support: Assist in project planning, tracking, and reporting to ensure timely delivery of product features. Work with scrum teams to ensure that deliverables meet business requirements.</li><li> Quality in new development and maintenance: provide clear vision of deliveries making sure that the deliveries meet business needs and take into account customers’ needs. Manage content delivered per release from the start to the end (step by step delivery until final delivery) and clarify limitations. Contribute to maintenance with the support team.</li><li> User Training and Support: Provide training and support to end-users to ensure successful adoption of new products and features.</li><li> Back up of the Product Owner the PBA can take over the PO in case he/she is off or not available. </li></ul>Skills, know-how and experience: Must have: Business Analysis & Requirements Gathering <ul><li> Ability to elicit, document, and validate business requirements from stakeholders.</li><li> Skilled in translating business needs into functional specifications. </li></ul>Product Lifecycle Understanding <ul><li> Familiarity with Agile, Scrum, or other product development methodologies.</li><li> Experience working across the full product lifecycle—from ideation to delivery. </li></ul>Stakeholder Management <ul><li> Strong communication and collaboration skills to engage with cross-functional teams.</li><li> Ability to manage expectations and align business goals with technical feasibility. </li></ul>Data Analysis & Reporting <ul><li> Proficiency in analyzing data to support decision-making (e.g., Excel, SQL, BI tools).</li><li> Ability to create dashboards and reports that convey insights clearly. </li></ul>Process Mapping & Optimization <ul><li> Experience in modeling business processes and identifying areas for improvement. </li></ul>Documentation & Specification Writing <ul><li> Skilled in writing user stories, use cases, and functional specifications.</li><li> Clear and concise documentation for both technical and non-technical audiences. </li></ul>Problem Solving & Critical Thinking <ul><li> Ability to break down complex problems and propose actionable solutions.</li><li> Strong analytical mindset with attention to detail. </li></ul>Must-Have: <ul><li> Fluent in Polish</li><li> Knowledge of Polish legislation</li><li> Bachelor’s Degree in one of the following fields: Business Administration, Economics, Computer Science, Information Systems, Engineering, Statistics or Mathematics</li><li> Strong foundation in data analysis and business operations through coursework or practical experience. </li></ul>Preferred/Nice-to-Have: <ul><li> Master’s Degree (e.g., MBA) for senior or strategic roles.</li><li> Courses or certifications in: Financial modeling, UX/UI principles, Agile methodologies, Data science or analytics </li></ul>

Question	Topic	Difficulty	Ask Chance
Boarding Times Bias	Statistics	Medium	Very High
Hundreds of Hypotheses	Statistics	Medium	Very High
Random Bucketing	A/B Testing & Experimentation	Medium	Very High

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