Amaris Consulting is a global independent technology and management consulting firm. As a Data Scientist here, your role is inherently dynamic, client-facing, and highly impactful. Unlike traditional in-house roles where you might focus on a single product for years, your primary mission at Amaris Consulting is to deploy to various client-side projects, solving distinct, high-stakes business problems using advanced analytics, machine learning, and statistical modeling.

You will act as both a technical expert and a strategic advisor. Your day-to-day work directly influences how clients—ranging from major automotive manufacturers in Turin to life sciences leaders in Switzerland—leverage their data assets. Because Amaris Consulting operates on a consulting model, the algorithms and predictive models you build must not only be technically sound but also clearly translatable to non-technical business stakeholders.

This role is ideal for practitioners who thrive on variety, rapid learning curves, and direct business exposure. You will have the opportunity to work across diverse industries, master different cloud environments, and continuously adapt your technical toolkit to match the specific demands of the client pipeline.

The interview questions at Amaris Consulting are designed to evaluate both your core technical competencies and your consultative mindset. The following questions are compiled from real candidate experiences and represent the patterns you should expect during your evaluation.

Behavioral & Career History

These questions assess your professional journey, your motivation for entering consulting, and how you manage professional relationships.

• Walk me through your career history and highlight the most complex data project you have delivered.
• Why do you want to work in a consulting environment like Amaris Consulting rather than an in-house product team?

To succeed in the Amaris Consulting hiring process, you must prepare to present yourself not just as an individual contributor, but as a professional consultant. Your interviewers are looking for a balance of technical execution and client readiness.

Client Readiness & Presentation – You must demonstrate that you can represent the company professionally in front of external clients. This means having excellent verbal communication, active listening skills, and the ability to translate complex data methodologies into clear business value.

Technical Adaptability – Because you will be proposed for different client projects, you need to show that you can easily pivot between different tech stacks, programming languages, and cloud environments (such as AWS, Azure, or GCP).

Resilience & Ambiguity Management – Consulting environments are fast-paced, and project scopes can change rapidly. Showing that you are comfortable with ambiguity, shifting timelines, and undefined project parameters is highly valued by the hiring managers.

The interview process at Amaris Consulting is designed to evaluate your technical capabilities while simultaneously assessing how well your profile aligns with current and upcoming client projects. Because of this consulting-driven approach, the process is highly interactive but can sometimes experience shifts in momentum depending on client demands.

The journey typically begins with an initial outreach or screening call from an HR recruiter, which can sometimes occur directly via phone or WhatsApp. This is followed by formal interviews with a Country Manager, Team Manager, or Reference Manager. Depending on the region and the specific client pipeline, you may also be asked to complete a technical case study or challenge.

Ultimately, because Amaris Consulting matches consultants with external businesses, your final step often involves a presentation or alignment check to ensure your profile meets the exact needs of the end client.

The visual timeline above outlines the typical stages a candidate navigates during the selection process. You should use this timeline to pace your preparation, focusing first on your high-level career narrative before diving into deep technical case preparation. Keep in mind that the exact order and presence of the technical challenge stage can vary depending on your geographic location and the specific client team you are being aligned with.

To pass the interviews at Amaris Consulting, you must perform strongly across several distinct evaluation areas.

Client-Facing Competency

Your interviewers will heavily evaluate how you communicate. As an Amaris Consulting employee, you are the face of the company at the client site.

Be ready to go over:

• Stakeholder translation – Translating statistical metrics (like ROC-AUC or precision-recall) into business metrics (like cost savings or revenue generation).
• Active listening – How you gather requirements from clients who may not know exactly what data they have or what model they need.
• On-site collaboration – Strategies for integrating into existing client teams and respecting their internal workflows.

Example scenarios:

• "Explain to a non-technical client why a highly accurate model might still fail in production."
• "How do you handle a client who changes the project goals two weeks before the final delivery deadline?"

Core Data Science & Case Analysis

Depending on the region (such as Brazil), you may face a technical challenge based on a specific business case study.

Be ready to go over:

• Supervised learning – Deep understanding of classification and regression algorithms, including hyperparameter tuning and validation strategies.
• Data preprocessing – Handling missing data, outliers, and performing robust feature engineering under time constraints.
• Model deployment – Understanding how to package models (e.g., using Docker or APIs) so they can be integrated into client infrastructure.
• Advanced concepts (less common) – Deep learning architectures, natural language processing (NLP), and real-time streaming data pipelines.

Example scenarios:

• "Walk us through how you would design a predictive maintenance system for a manufacturing client with limited historical failure data."
• "How would you structure a technical case study presentation to demonstrate both your coding rigor and your business impact?"

Adaptability to Project Pipelines

Your fit is often tied to a specific client project that is active at the time of your interview.

Be ready to go over:

• Tech stack flexibility – Demonstrating comfort with multiple tools (e.g., Python, R, SQL, PowerBI, Tableau, Spark).
• Industry domain agility – Showing that you can quickly learn the domain knowledge of a new industry (e.g., finance, telecom, energy).

As a Data Scientist at Amaris Consulting, your responsibilities will span the entire lifecycle of data initiatives, from initial discovery to client handoff.

You will be responsible for meeting with clients to understand their business challenges, identifying the relevant data sources, and designing appropriate analytical solutions. You will write clean, production-ready code to preprocess data, engineer features, and train machine learning models.

Collaboration is a core part of the role. You will work closely with client-side data engineers to ensure data pipelines are robust, and with product managers to align your models with business goals. Additionally, you will create comprehensive documentation and deliver presentations to ensure the client's internal teams can easily maintain and scale the solutions you build.

To be competitive for a Data Scientist position at Amaris Consulting, you should meet a combination of technical and consultative requirements.

• Must-have skills – Strong proficiency in Python or R, solid SQL querying capabilities, and a deep understanding of core machine learning algorithms. Excellent communication skills are mandatory, as is the ability to present technical findings clearly.
• Nice-to-have skills – Experience with cloud platforms (AWS, Azure, or GCP), familiarity with big data tools (Spark, Hadoop), and prior experience in a management or technology consulting environment.
• Experience level – The company frequently targets intermediate/mid-level profiles who possess strong technical execution capabilities and are highly adaptable, without necessarily requiring extensive prior managerial experience.
• Language and location – Fluency in the local business language (e.g., Italian, Portuguese, French, or German depending on the office location) is highly valued, along with a willingness to work on-site at client locations.