Machine Learning Scientist | Pricing & Forecasting

Who we are

ADC is a Boutique Data and AI consultancy with offices in the Netherlands, Sweden, and Denmark, and an award‑winning data design studio (CLEVER°FRANKE) embedded in the group. We help organisations turn data and AI into real impact, leading a mission to accelerate the responsible use of Data and AI. We bring the full data value chain under one roof: from strategy and engineering to analytics, data science, and design.

This way, we turn complex data into clear roadmaps, scalable foundations, AI‑powered tools, and experiences people actually enjoy using.

We are a collective of statisticians, designers, PhDs, and agentic AI engineers with deep expertise in the industries we serve: financial services, life sciences, healthcare, the public sector, retail, agriculture, and transportation. We do not arrive with generic tools and a slide deck. We walk in, work alongside the people who know the organisation best, and build solutions that actually run.

We call ourselves Way finders. Our clients trust us to navigate complexity and make it real: turning ambition into action in environments where the margin for error is small and the consequences of getting it wrong are real, for customers, employees, supply chains, and the bottom line.

We're leveraging our expertise in causal inference, machine learning, and business intelligence to power ADC's growth and deliver unmatched value to our clients.

Retail team is growing, and we are looking for a Decision Scientist with experience with ML and forecasting
, who is curious and eager to grow with us. In this role, you will deep dive into predictive modelling, causal inference, and optimization, while applying advanced statistical methods to real‑world business challenges. You will contribute to our advanced pricing initiatives for leading e‑commerce clients, developing forecasting models that impact commercial strategy.

You’ll be part of cross‑functional team, working alongside highly specialized decision science teams to better understand complex methodologies, while connecting predictive insights with operations research, and deploying state‑of‑the‑art causal machine learning techniques
.

• Drive advanced forecasting for e‑commerce pricing, focusing on longitudinal and panel data.
• Develop and scale Machine Learning models to optimize pricing strategies over time.
• Leverage techniques such as tree‑based models, gradient boosting, bagging, and ensemble methods (e.g. LightGBM, XGBoost) to improve pricing performance.

• Drive causal machine learning and inference initiatives to move beyond correlation and quantify true commercial impact.
• Apply causal inference methods to observational and quasi‑experimental data to support strategic decision‑making.
• Implement advanced frameworks such as DoubleML, potential outcomes modeling, two‑way and interactive fixed‑effects models, and unobserved factor models.

• Collaborate closely with our clients' decision science teams, highly specialized professionals with deep quantitative backgrounds, tackling complex methodologies and operations research challenges together.
• Break down data science and econometric concepts into clear, practical recommendations that resonate with both technical and non‑technical audiences.
• Challenge existing approaches, identify opportunities for stronger models or smarter optimization, and foster a mindset of curiosity, transparency, and continuous improvement across the team.

At ADC, we're not just consultants: we're leading experts in Data & AI, using our expertise in strategy, business operations, and advanced analytics. What unites us is a shared way of working: breaking down complex challenges to change how organisations operate.

For this role, that means:

• Strong academic foundation in Machine Learning, Computer Science, Statistics, Econometrics, Economics, Mathematics, or a highly related quantitative field, ideally in consulting or…