Data Scientist

Trinamics; Noord-Brabant; On-site; EUR 90,000 - 130,000; Full time

Job summary

A leading technology firm in the Netherlands is seeking a Senior Data Scientist to drive AI-driven solutions within finance. The role involves designing and deploying advanced analytics and machine learning solutions, collaborating with analytics teams, and transforming business processes. Candidates should have a technical degree and experience applying complex statistical methods to datasets. Strong skills in Python, R, and AI concepts are required. The position is pivotal for creating impactful data insights that enhance decision-making across the organization.

Qualifications

• Proven experience in descriptive, diagnostic, predictive, and prescriptive modeling.
• Strong ability to apply complex statistical methods to large datasets.
• Experience with Agentic AI concepts like autonomous decision-making systems.
• Hands-on experience with Python, R, Databricks, and Azure ML.

Responsibilities

• Design, develop, and scale advanced analytics and AI solutions.
• Translate complex challenges into intelligent, data-driven agents.
• Collaborate with finance domain experts and analytics teams to ensure robust AI solutions.

Skills

Descriptive modeling

Predictive modeling

Machine learning

Statistical methods

Python

R

Databricks

Azure ML

English

Education

Master's or Bachelor's degree in Data Science, Econometrics, Computer Science, Mathematics, or Technical Business Administration

Tools

SAP

Azure ML

Job description

Senior Data Scientist / Advanced Analyst

• Location: Veldhoven
• Duration: initially 6 months

Do you get energized by unlocking the full potential of data and creating predictive and prescriptive insights that have never existed before? Are you motivated to turn complex data into impactful, real-world solutions?

Job Mission

As a Senior Data Scientist, you will play a key role in driving the adoption of AI-driven, agent-based solutions within financial processes. You will deliver predictive and prescriptive insights that enable continuous process improvement and support high-quality decision-making across the organization.

You will actively contribute to the digital transformation of the Finance function by building AI and data science capabilities and inspiring the business on the potential of AI. This includes designing and deploying Agentic AI solutions that autonomously support and augment financial decision‑making within clearly defined governance boundaries.

You will collaborate closely with analytics teams and data scientists across the organization to scale impact and share best practices.

Job Description

Within the Transformation & Digital Finance (TDF) organization, you will design, develop, and scale advanced analytics, machine learning, and Agentic AI solutions. These solutions go beyond traditional models by autonomously reasoning, planning, and acting within defined business and compliance constraints.

You will translate complex financial and business challenges into intelligent, data‑driven agents that combine statistical modeling, machine learning, and rule‑based reasoning to continuously optimize business processes and decision support.

In close collaboration with Finance domain experts, data analysts, IT, and other analytics teams, you will ensure that Agentic AI solutions are robust, explainable, compliant, and seamlessly embedded into daily business operations.

Education

• A technical Master’s or Bachelor’s degree, preferably in Data Science, Econometrics, Computer Science, Mathematics, or Technical Business Administration

Experience

• Proven experience in descriptive, diagnostic, predictive, and prescriptive modeling
• Strong ability to apply complex statistical methods to large datasets through machine learning
• Experience with, or strong interest in, Agentic AI concepts such as autonomous decision‑making systems, AI agents, model and tool orchestration, and human‑in‑the‑loop designs
• Experience leading analytics‑driven transformations and embedding AI solutions into end‑to‑end business processes
• Experience deploying machine learning models within business process applications (e.g., SAP) is a strong advantage
• Hands‑on experience with Python, R, Databricks, and Azure ML

Personal Skills

• Strong statistical and mathematical mindset
• Excellent verbal and written communication skills
• Commercial awareness with the ability to inspire and influence stakeholders
• Strong analytical “helicopter view” combined with attention to detail
• Confidence to challenge stakeholders and work in multidisciplinary teams
• Strong problem‑solving orientation
• Ability to connect people across geographies, with and without direct reporting lines
• Fluency in spoken and written English

Context of the Position

Within the Transformation & Digital Finance (TDF) function, the team focuses on advanced analytics, AI, and Agentic AI‑driven innovation to accelerate value creation across the Finance organization.