Internship Finance Data Science & Margin Analytics

dsm-firmenich; Maastricht; On-site; EUR 5,200 - 7,100; Full time

Benefits offered by this job

Internship salary €550/month

Job summary

dsm-firmenich offers an internship in Finance Data Science & Margin Analytics in Maastricht. You will explore how AI and analytics can improve margin management and forecasting, analyze historical data, and identify profitability drivers.

The role includes developing practical recommendations and a road map for FP&A stakeholders, with potential for a master’s thesis. Responsibilities include evaluating AI-driven forecasting and anomaly detection, and presenting insights to finance teams.

Qualifications

• Pursuing a master's degree in a relevant field (Data Science, AI, Finance or related).
• Experience with statistical analysis, Excel and Power BI; basic programming in Python or R.
• Strong communication, analytical thinking and interest in finance and AI.

Responsibilities

• Investigate how AI and advanced analytics can improve margin management and forecasting.
• Analyze historical financial and operational data, identify profitability drivers and anomalies, and translate findings into business recommendations.

Skills

Statistical analysis

Excel

Power BI

Python

R

Education

Master's degree in Data Science & AI

Tools

Power BI

Python

R

Job description

Internship: Finance Data Science & Margin Analytics

Are you a motivated student with a passion for finance, data science, and artificial intelligence? Join the Group FP&A Reporting & Consolidation team at dsm-firmenich for an internship where you will explore how advanced analytics and AI can improve profitability management and forecasting. This is your opportunity to work at the intersection of finance and data science, helping develop innovative approaches to identify margin risks, detect anomalies, and support data-driven decision-making in a global finance organization.

What You’ll Do

During your internship, you will investigate how artificial intelligence and advanced analytics can be leveraged to improve margin management and forecasting processes. You will analyze historical financial and operational data, identify key profitability drivers, and explore methods for detecting anomalies and predicting future performance. In addition, you will review relevant academic and industry research, evaluate predictive forecasting techniques, and translate findings into practical business recommendations and an implementation roadmap for finance stakeholders. This internship is open to writing a master’s thesis. Potential thesis topic: Artificial Intelligence in FP&A: Predicting Margin Deterioration Through Automated Anomaly Detection and Predictive Analytics.

Key Achievements

End Goals:

• Developed a proof-of-concept analytics framework capable of identifying margin risks and opportunities using historical financial and operational data.
• Evaluated AI-driven forecasting and anomaly detection techniques and delivered actionable recommendations to support profitability management and decision-making within FP&A.

What We Offer

• AI in Finance: Gain hands-on experience applying artificial intelligence and advanced analytics to real-world finance and profitability challenges.
• Predictive Analytics: Develop expertise in anomaly detection, forecasting methodologies, and machine learning approaches that support financial decision-making.
• Financial Performance Management: Learn how global organizations monitor profitability, identify margin drivers, and translate data into business actions.
• Data Visualization & Business Storytelling: Strengthen your analytical, reporting, and communication skills using tools such as Power BI while presenting insights to business stakeholders.
• International Environment: Collaborate with finance professionals across a global organization while building expertise in financial analysis, data science, and strategic decision-making.

What You Bring

• Field of Study: Master's degree in Data Science & Artificial Intelligence, Business Analytics, Financial Economics, Econometrics, Information Management, or a related field.
• Experience: Experience with statistical analysis, Excel, Power BI, and basic programming in Python, R, or a similar language through academic projects, coursework, or internships.
• Skills: Strong communication skills, analytical thinking, problem-solving, and an interest in finance and AI.

Eligibility criteria and conditions:

• Language requirements: Fluent in English.
• Final Selection Day: 01.12.2026 in dsm-firmenich office in Maastricht.
• Start of the internship: 01.02.2027
• Duration: 4-5 months.
• Studies: currently enrolled at Maastricht University or Zuyd applied science university (hogeschool). Your university will cosign the internship agreement.
• Location: dsm-firmenich Maastricht office.
• Compensation: Internship salary is €550 per month.

If you're ready to take on a challenging and rewarding internship,