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Ready to make an Impact? 

Our Mission

Help our customers ask the right questions to make better decisions in marketing and people analytics!

Making an Impact

Our analytical apps are grounded in strong business sense. Therefore, quantifying business impact is a key.

Values & Company Culture

No egos – transparency – emotions are good – listen to customers – take decisions – have fun – value research 

Who are we looking for?

Head of Engineering/CTO

You want to be your own boss, introduce state-of-art IT architecture/principles, and  build awesome products?

Frontend Developer

You have already gained experienced with typical front-end languages, love to build awesome web products and have an interest in AI?

Senior Data Scientist

You have already worked multiple years as a data scientist and you are looking for building up something exceptional?

Doctoral Fellow

You are about to finish a Master in Maths, Physics, Comp. Science and you are interested in both, academia and practical experience?

Data Scientist

You have gained experience in a data science role, feel comfortable with R, Python, ... and are looking to take your skills to the next level?

Working Student Data Science

You like coding, analytics, and you are not shocked about the following quote "math was my favorite subject in school"?

Sr. Expert SAP SuccessFactors

Power-user of SAP SuccessFactors? Take the next level combining SF with Analytics by Predict42!

Working Student Design

Do you love attractive design and are you currently studying visual communication or visual design? Check out our job description

Interested? Learn more about our team.

How does a typical day look like?

What have we published lately?

Lecture at ESB Reutlingen – What are data science products? and predicting the “future business student”

This post covers a lecture at ESB Reutling. Find our take “data science products” and two interesting use case. Also learn how the future business student will look like.

Feedback from 2+ Mio. retail customers – unlocking insights from online reviews with AI

This whitepaper takes a look at 2.1 million customer reviews for 12 German retail brands such as Lidl, Aldi, Rewe, Edeka, dm, obi and a few more. It uses Natural Language Processing to analyze what topics matter most to customers in the period 3/2020 to 2/2021. It also examined how positive/negative customers feel towards certain topics, such as “service at checkout” or “friendliness of staff”.

Ready to get started?

Set-up 30 min consultation

We offer free consultation in order to see if and how we could help. Do not hesitate, the least you can expect is that we point you in the right direction!

Set-up free demo

We have demos for our applications with sample data. Discover and sharpen your use cases by experiencing our apps in people analytics and marketing.