About Us
Ascent has recently been acquired by Acuity Analytics. This is both a significant milestone for us and a tremendous opportunity for you. Acuity Analytics is a business with a strong global reputation, an impressive client base and ambitious growth plans. We deliver deep insights and domain-led digital transformation to high-growth and heavily regulated organisations. To our customers, we bring a partnership that provides the talent, technology and capability to enhance performance and operational efficiency.
Your responsibilities
As our next Data Scientist (F/M/X) you take care of implementing data-driven solutions together with other data scientists, data engineers and the client’s technical team:
Implementation of proof of concepts in AI, data science, and machine learning
Data preparation, model implementation, and development of productionizable high-quality code in Python are your daily business
Close collaboration with your team members in the conception of data science and AI solutions for our clients
Assisting in workshops with the client’s team
You will work in different industries on various data science and AI use-cases
Skills and experience
You have an educational background in the field of Mathematics, Computer Science, Data Science, Statistics or similar
Knowledge in implementing machine learning pipelines in either Python or R with proficiency of the respective libraries (caret, dplyr, tidyverse or scikit-learn, pandas, numpy etc.) is required
Solid understanding of statistics and mathematics
Experience in working on GenAI related projects (e.g. with langchain, chainlit, RAG, LLMs)
Nice-to-have: Experience with cloud-based environments or advanced technologies like Spark, Tensorflow or Keras
Motivation and passion for learning new things and honing your skills
You are fluent in both German and English
Minimum monthly gross salary: € 3.800 (14 times per year, based on 38,5h/week, no all-in contract). However, we always ensure to offer a competitive salary adjusted to your qualifications and experience.
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