<description of our Berlin team>
Our Berlin team
Nick Jetten
CEO / Co-Founder
Expertise includes among others:
- During previous employments worked hands-on on several data science and data engineering projects for corporates in and outside of the Netherlands (forecasting, image recognition, dynamic pricing, marketing intelligence).
- Involved as strategic AI advisor and challenger of many Enjins customers in the Netherlands and Berlin. Mostly within our focus areas: Climate Tech, Marketplaces and Mobility.
- Co-founder/CEO of Enjins (founded 2018)
- Co-founder of responsible AI platform Deeploy (founded 2020)
Background: 10+ years working experience as data scientist, Machine Learning Engineer, product owner, strategic advisor, account/project manager and tech founder. Previous roles at VODW, KLM and Isobar. BSc and MSc Econometrics @ RuG.
Why Enjins? “In 2018, I co-founded Enjins together with Maarten and Bastiaan. At that time, still some years before the AI hype we are currently experiencing, data science was a proof-of-concept game. People and businesses cared about accuracy, but not so much about going live with their models in a real-world setting. We felt there was a need for a service company to fill this gap. By combining a strong engineering mindset with a data & AI skillset, we began to grow the team. By now, we have helped over 100 innovative startups, scale-ups, and challenges to productionize AI at scale. We launched a new hub in Berlin, a product spin-off called Deeploy, and we are ready for our next strategic step: leveraging our established footprint to become the number one AI Engineering brand in industries that we believe matter: Greentech, mobility, and marketplaces.”
Mariza Sophie Scheer
CCO (GER)
Expertise includes among others:
Mariza’s commercial leadership at Enjins focuses on enabling data-driven growth for climate tech startups, scale-ups, and enterprise clients through customized AI solutions. Her expertise to date includes:
- Commercializing AI solutions in Energy, Climate Tech, and Mobility: Developed and executed new market entry strategies, product launches, and scalable go-to-market models for B2B and B2B2C digital products, including AI-based pricing and forecasting tools
- Product-market fit & value proposition design: Led clients through discovery and validation sprints to align machine learning solutions with business goals and customer pain points, ensuring impact and scalability
- Leadership in cross-functional & global teams: Managed commercial, product, and tech teams across Europe, Asia, and the Americas—instilling a customer-first mindset, agility, and growth culture
- Enablement of AI engineering & data teams: Designed operating models and capability frameworks to equip data and engineering teams for success in delivering high-value AI solutions
Background: 10+ years of global experience across consulting, energy, mobility, and tech. Most recently, Mariza was a Senior Consultant at McKinsey & Company, advising C-level executives on growth, pricing, and sales strategy, particularly within the European industrial and tech sectors. Prior to that, she held product leadership and commercial roles at Shell, where she led the global pricing product function, built digital tools leveraging machine learning, and scaled new B2B products across markets. Mariza holds an MA in Psychology, Business & Statistics from the University of Glasgow and is a certified Scrum Product Owner.
Why Enjins? “I joined Enjins because I’m passionate about scaling purposeful AI solutions in climate tech and beyond. I believe that ‘it’s never just tech’—the best AI only creates impact if it actually works, gets used, and delivers real value. At Enjins, we build solutions that go live and make a difference, combining strong engineering with a deep understanding of what truly matters to our clients.”
Georg Peter
AI Strategy Lead
Expertise includes among others:
- Project Management in GreenTech & E-Commerce: Led AI consulting and implementation projects at several scale-ups ensuring timely delivery and customer satisfaction.
- AI Solutions for Energy Sector & Marketplaces: Identified AI and data solutions for tech scale-ups across several industries, developing AI business plans, and implementation strategies.
- AI Strategy for large enterprises: Advised senior management at major banks, and mobility, and industrial goods DAX-companies on long-term AI and data strategy.
Background: 3+ years of consulting experience as Management Consultant at BCG in the mobility, banking, and industrial goods sector. BSc Economics and Master of Public Policy (Bonn, Washington DC & Berlin).
Why Enjins? “I highly value Enjins’ dedication to innovation and our ongoing efforts to stay at the forefront of our industry. Additionally, it is important to me to build machine learning solutions, particularly in industries like GreenTech, where we have the opportunity to generate substantial value not only for businesses but also for our society as a whole.”
Basti Prehn
ML Engineer
Expertise includes among others:
- Cloud and Data Platform Engineering: Designed, developed, and implemented data management systems at multiple scale-ups and midsized companies adhering to state-of-the-art (MLOps-) principles and tools
- Marketplaces & Recommenders: Built recommendation system for media company operating in over 130 markets and with over 10 million users
- Computer Vision in Green- & MedTech: Developed segmentation algorithms to identify singular cells in microscopic image data
Background: 3+ years of working experience as Machine Learning Engineer mainly in GreenTech-, MedTech-, and online Marketplaces. MSc in Artificial Intelligence from Rijksuniversiteit Groningen.
Why Enjins? “I chose Enjins because I did not want to limit myself to either work as a Business Consultant, a Platform Engineer, or a Data Scientist/ Engineer. I was immediately intrigued (and a little intimidated) that Engineers at Enjins typically function in any of these roles. Naturally, Enjins Engineers also specialize with time but that always builds on top of a thorough know-how of the entire system in which the ML Model functions, encompassing a company’s business logic, operational structures, software development processes and Data- and ML infrastructure.”
Jannis van Kersbergen
Senior ML Engineer
Expertise includes among others:
- Marketplaces & Recommenders: Built recommendation system for media company operating in over 130 markets and with over 10 million users
- Computer Vision & Object Detection: Developed object detectors to locate pathologies in 2D X-ray images and 3D CT scans for healthcare company
- E-Mobility & Energy: Developed charging point features for electric mobility service provider, incl. parking spot occupation detection, smart charging, dynamic load management
Background: 3+ years working experience as Machine Learning Engineer in Computer Vision in E-mobility, Healthcare and Home Security. MSc in Electrical Engineering from Eindhoven University of Technology.
Why Enjins: “I chose Enjins because it offers the chance to tackle practical real-world problems through integrated data analysis while always maintaining an engineering-first mindset, ensuring that our solutions work effectively in production. I’m also passionate about teamwork and see great value in collaborating with machine learning experts to grow and innovate together.”