Data Scientist

June 25, 2024 11:00 pm

Are you a skilled Data Scientist ready to drive impactful business decisions through advanced analytics, machine learning and AI? If so, look no further.

Join our dynamic Technology & Transformation team as a Data Scientist partnering with leaders to create business impact by leveraging data and analytical tools and hypothesis-based analysis on machine learning (ML)-based projects or the deployment of AI models and algorithms that enable data-driven decision making.


  • Impactful Work: You will have the opportunity to contribute to the company’s growth and be part of exciting new developments.
  • Transparent Leadership: Experience a leadership team that is accessible, transparent, and genuinely values employee feedback.
  • Growth Opportunities: We believe in nurturing our team’s potential, offering diverse paths for personal and professional development.


  • Experiment and build data-driven models that answer business questions and support decision making.
  • Perform experimentation to identify hidden relationships between variables in large datasets.
  • Research and implements cutting-edge techniques and tools in machine learning, deep learning, and artificial intelligence to make data analysis more efficient.
  • Create, implement, and deploy AI solutions in business environments, considering scalability, reliability, and security.
  • Perform thorough testing and evaluation of AI models to ensure their performance meets the desired business objectives.
  • Collaborate with data analysts, software engineers, and other stakeholders to integrate ML/AI capabilities into existing systems.


  • Bachelor’s or Master’s degree in Computer Science, data science, or a related field with specialization in ML/AI.
  • Experience in data science projects, including statistical analysis, data engineering, and data visualization.
  • Experience in Large Language Models (LLMs) such as GPT4, Llama3, Mistral and leveraging them through APIs
  • Familiarity in designing and implementing AI solutions with a focus on machine learning, recommendation systems, pattern recognition, NLP, or data mining.
  • Knowledge of popular machine learning frameworks such as TensorFlow and PyTorch
  • Proactive, customer centric and dynamic, ability to cope with pressure
  • Good oral and written communication skills


Human Capital Department