Data Science Intern/Associate Consultant

Data Science Intern/Associate Consultant at Simon-Kucher

This opportunity offers a unique entry into Consulting as a Data Science Intern, particularly focusing on the use of Large Language Models (LLMs) and Natural Language Processing (NLP) in our UK and Netherlands projects.

What Makes Us Special

Become part of a unique entrepreneurial team. Think independently, use your initiative, and take some risks. Entrepreneurship is a powerful force that drives the growth not only of our firm but our clients and people. Unlock the power of opportunity. Advance your career in a thriving company that creates positive impact. We invest in your professional development every step of the way. Work in a values-driven culture. At Simon-Kucher, our vision is to become the world's leading growth specialist. Our values guide the way we do business and communicate our distinctiveness. They sum up what we stand for, influence our culture, and drive how and why we do things.

How You Will Create An Impact

You will be an integral part of project teams driving top-line growth for clients, mainly across UK and Netherlands projects. Responsible for the core stages of model development, including:

• Data wrangling and pre-processing
• Machine learning model development, testing, and implementation.

You will analyze and communicate data insights to project teams to support strategic decision-making. The internship offers an opportunity to learn about commercial strategy consulting in a practical, project-based environment. Top-performing interns may be offered an entry-level Data Scientist position after completion of the internship.

Your Profile

You have completed both your VWO and bachelor’s degree with above-average study results in a quantitative field, such as computer science, engineering, statistics, operational research, data science, or equivalent experience. You should also possess:

• Deep knowledge of Machine Learning, statistical modelling, and NLP techniques.
• Strong programming skills in R and/or Python, with experience in NLP libraries and frameworks.
• Exceptional communication skills to effectively convey complex data insights.
• High percentile numerical, deductive, and inductive reasoning skills.
• A strong desire to work in a fast-paced, commercially agile environment.
• A keen interest in commercial strategy and a desire to work in a dynamic, fast-paced environment.
• Strong enthusiasm, curiosity, and a commitment to achieving the best outcomes.

Internships within the Data Science team usually last around 4 to 6 months and are designed to expose individuals to working on client projects. Interns can expect responsibility from the outset as a valued member of the project team. Throughout your time at Simon-Kucher, you will contribute to analysis and results and can benefit from working alongside experienced Consultants, Directors, and Partners.

To be eligible for the internship, you must be enrolled at a university and able to work from our Amsterdam office during the internship period.

About Simon-Kucher

Simon-Kucher is a global consultancy with more than 2,000 employees in 30+ countries. Our sole focus is on unlocking better growth that drives measurable revenue and profit for our clients. We achieve this by optimizing every lever of their commercial strategy – product, price, innovation, marketing, and sales – based on deep insights into what customers want and value. With 40 years of experience in monetization topics of all kinds, we are regarded as the world’s leading pricing and growth specialist.

We believe in building a culture that embraces diversity, equity, and inclusion, creating an environment in which our people feel valued, are able to be themselves, and feel their contribution matters. If we get that right, remarkable things will happen: people will grow faster, innovate, feel valued, and create better outcomes for everyone – our people, our clients, and, of course, our business.

Your Personal Contact: Liselot van der Lee, recruitment.amsterdam@simon-kucher.com

Key skills/competency

• Machine Learning
• Natural Language Processing (NLP)
• Large Language Models (LLMs)
• Data Wrangling
• Python programming
• R programming
• Statistical Modeling
• Commercial Strategy
• Data Analysis
• Communication Skills