Data Scientist

You will play a key role in designing, developing, and deploying machine learning models to extract valuable insights from data. This role offers the opportunity to work on a variety of exciting projects and be at the forefront of emerging technologies like Generative AI and Neo4j.

What You Will Do:

Design and execute data collection strategies from various sources (structured & unstructured).
Design, develop, and implement scalable data pipelines using Python and relevant frameworks
Extract, transform, and load (ETL) data from various sources (databases, APIs, etc.)
Clean, transform, and prepare data for analysis using Python and relevant libraries.
Develop and implement supervised machine learning models for tasks like prediction and classification.
Utilise unsupervised machine learning techniques such as clustering algorithms for data exploration and pattern recognition.
Stay up-to-date on the latest advancements in data science, including but not limited to Generative AI and Neo4J.
Effectively communicate complex data findings and recommendations to technical and non-technical audiences.
Collaborate with colleagues across data engineering, analytics, and business development teams.

About You

You will possess a structured approach, analytical prowess, and impeccable data science skills.

Master’s degree in Statistics, Computer Science, Mathematics, or a related field.
Minimum 2+ years of experience as a Data Scientist or similar role.
Strong proficiency in programming languages like Python and R.
Experience with popular machine learning libraries like scikit-learn, AutoML TensorFlow, or PyTorch (familiarity with more than one is a plus).
Excellent analytical and problem-solving skills.
Strong communication and collaboration skills.
A passion for providing high quality work and open to feedback from your peers.
A passion for learning and staying up-to-date with emerging technologies.
Exposure to notebook environments such as Jupyter Notebook, ARStudio or Databricks Collaborative Workbench.