As a Data Scientist, you'll focus on designing and deploying machine learning models using Python. This role is ideal for those passionate about leveraging AI tools to enhance their work.
In this role, you will be responsible for designing, training, evaluating, and deploying machine learning models. Your primary tool will be Python, where you will utilize libraries such as NumPy, pandas, scikit-learn, and either PyTorch or TensorFlow to build robust models. The focus will be on both supervised and unsupervised learning techniques, allowing you to tackle a variety of data challenges.
You will also have the opportunity to work with AI developer tools like Claude Code and large language models (LLMs) to streamline your experimentation and delivery processes. This aspect of the role emphasizes the importance of staying current with technological advancements in the field of data science.
This position is well-suited for individuals who have a strong foundation in Python and machine learning, and who are eager to apply their skills in a practical setting. You should be comfortable working in an office environment and collaborating with a team of like-minded professionals.
Key responsibilities include: • Designing and implementing machine learning models • Evaluating model performance and making necessary adjustments • Deploying models into production environments • Collaborating with team members on data-related projects
To succeed in this role, you should have a solid understanding of data science principles and be proficient in the relevant Python libraries. Familiarity with AI tools and LLMs will be beneficial but is not mandatory. If you are looking to advance your career in data science and enjoy working in a dynamic team, this role could be a great fit.
You'll be taken to the original listing on PNet to apply.