As a Data Scientist at NTT Data Europe & Latam, your day-to-day responsibilities will bridge cutting-edge technical execution and strategic business consulting. You will work within collaborative, cross-functional teams to deliver high-impact solutions for diverse enterprise clients.

• Collaborate with Stakeholders – Partner with product managers, business analysts, and client stakeholders to understand business objectives and translate them into actionable data science roadmaps.
• Design and Build ML Pipelines – Develop end-to-end data pipelines, from data ingestion and cleaning to feature engineering, model training, and evaluation.
• Develop Proof of Concepts (POCs) – Rapidly prototype machine learning solutions to demonstrate feasibility and business value to prospective and existing clients.
• Deploy and Scale Models – Work closely with Data Engineers and DevOps teams to deploy models into cloud environments (such as Azure, AWS, or GCP) and monitor their performance.
• Present Findings – Communicate complex analytical results, model limitations, and strategic recommendations to both technical and non-technical audiences.

Successful candidates join NTT Data Europe & Latam with a robust blend of technical expertise, domain knowledge, and interpersonal skills. The ideal candidate thrives in collaborative, client-facing environments and possesses a passion for solving complex, real-world problems.

Technical Skills

• Programming Languages – Advanced proficiency in Python or R, alongside strong SQL skills for data extraction and manipulation.
• Machine Learning Frameworks – Hands-on experience with libraries such as Scikit-Learn, XGBoost, LightGBM, TensorFlow, or PyTorch.
• Cloud & Big Data – Familiarity with cloud platforms (AWS, Azure, or GCP) and big data technologies (Spark, Databricks) is highly valued.
• Software Engineering Best Practices – Understanding of Git version control, modular coding practices, and containerization (Docker).

Experience & Soft Skills

• Professional Experience – Typically 2+ years of experience working as a Data Scientist, preferably within a consulting or enterprise environment.
• Communication – Outstanding verbal and written communication skills, with the ability to articulate technical decisions to non-technical business leaders.
• Agile Methodology – Experience working in agile delivery teams, participating in daily stand-ups, sprint planning, and retrospectives.

Q: How technical is the interview process at NTT Data Europe & Latam? A: The process is highly technical but balanced with practical application. You will face conceptual machine learning questions, coding challenges, and a practical technical test or POC. The key is demonstrating that you can apply theoretical knowledge to solve real business challenges.

Q: What is the typical duration of the hiring process? A: The process typically takes between three to six weeks. However, because some roles are aligned with specific client projects or geographic hubs, timelines can occasionally extend due to client approvals or budget alignment.

Q: What sets successful candidates apart in the POC defense round? A: Candidates who stand out are those who don't just present a model, but present a business solution. Highlighting your code structure, validation strategy, deployment plan, and how the model drives business value will differentiate you from other applicants.

Q: Is there flexibility in work location or remote work? A: NTT Data Europe & Latam generally offers hybrid work models, though specific expectations depend heavily on the country, office location, and client requirements. It is best to clarify these expectations during your initial HR screening.

• Clarify Project Logistics Early – Because NTT Data operates as a global consultancy, client requirements can sometimes shift project locations or target offices (e.g., between regional hubs). Confirm your final office location and client alignment early in the process.
• Structure Your Answers – When facing behavioral or situational questions, utilize the STAR method (Situation, Task, Action, Result). Quantify your achievements wherever possible to demonstrate concrete impact.
• Showcase Your Consulting Mindset – Approach case studies and technical discussions not just as an engineer, but as a consultant. Ask clarifying questions about business constraints, data availability, and end-user needs.
• Prepare for Agile Discussions – Be ready to discuss how you manage your tasks within a sprint, how you handle shifting priorities, and how you collaborate with developers to push models into production.

A Data Scientist role at NTT Data Europe & Latam offers an exceptional opportunity to build scalable, high-impact machine learning solutions for some of the world's leading organizations. By combining technical excellence with a consultative approach, you can drive genuine digital transformation across industries.

To prepare effectively, focus your energy on mastering core machine learning concepts, refining your coding skills, and practicing the presentation of your technical work. Approaching the interview with a collaborative, agile mindset will demonstrate that you are ready to deliver value to both the internal team and global clients from day one.

The compensation range above reflects typical base salaries for this role. Actual offers are determined by geographic location, years of experience, and specific technical expertise. For more localized insights, interview reviews, and preparation resources, you can explore additional materials on Dataford to help you put your best foot forward.