Data Scientist

Vor 2 Tagen


Graz, Steiermark, Österreich Acuity Analytics Vollzeit

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: € 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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