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Data Scientist Specialist

vor 1 Woche


Zürich, Zürich, Schweiz InvestCloud, Inc. Vollzeit
About InvestCloud

We are at the forefront of wealth technology, offering innovative solutions that redefine how the financial services industry operates. With a global presence and a client-first approach, we specialize in digital transformations powered by our flexible, modular technology.

About the Role

You will be joining our newly formed AI, Data & Analytics team as a Senior Data Scientist / Machine Learning Engineer with a background in Data Science, Machine Learning, and Generative AI models. The ideal candidate should have a proven track record in delivering business impact and delighting clients by developing and deploying ML and AI models in production, along with excellent problem-solving skills. In this role you will integrate AI and ML solutions into our product suite.

Key Responsibilities
  • Implement applications powered by Generative AI and Machine Learning models and deploy them in production
  • Develop and maintain datasets and data pipelines to support Machine Learning model training and deployment
  • Interpret results from Machine Learning models and communicate findings to both technical and non-technical stakeholders
  • Stay updated with the latest advancements in Machine Learning, natural language processing, and generative AI
  • Analyse large datasets to identify patterns, trends, and insights that can inform business decisions
  • Work with 3 rd party providers of AI products to evaluate and implement solutions achieving our business objectives
Required Skills and Qualifications
  • MSc degree in Mathematics, Statistics, Computer Science, Data Science, Machine Learning, or a related technical field or equivalent practical experience
  • At least four years of professional experience in Data Science, Machine Learning and AI
  • Outstanding communications skills in English
  • Proficiency in programming in Python
  • Knowledge of Machine Learning frameworks (Scikit-learn) and LLM frameworks (e.g. Langchain)
  • Knowledge of data preprocessing, feature engineering and model evaluation metrics
  • Experience using large language models, generative AI and agentic frameworks
  • Experience working with Snowflake and/or Databricks or similar tools
  • Working experience developing and deploying Machine Learning models in production
  • Working experience with Git and Docker
  • Strong communication skills to engage with non-technical stakeholders
  • Ability to work in a fast-paced environment, working across multiple projects simultaneously
  • Ability to collaborate effectively as a team player, fostering a culture of open communication and mutual respect