Data Scientist

What You Will Do: 

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. Please note this job can be based in either Auckland or Wellington. 

• 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.
• Build, test, and deploy supervised ML models for classification, prediction, and regression tasks.
• Apply unsupervised techniques such as clustering for pattern recognition and data exploration.
• Design and optimise MLOps and LLMOps workflows to streamline deployment and monitoring of models.
• Leverage Generative AI and Retrieval-Augmented Generation (RAG) frameworks for advanced NLP and language model applications.
• Work with Neo4j and other modern platforms to analyse graph-based relationships and networks.
• Create impactful visualisations using Tableau or Power BI to present insights to stakeholders.
• Collaborate with cross-functional teams including data engineering, solution architecture, project management and business development.
• Stay ahead of the curve by researching emerging technologies and tools in the data science and Gen AI space.
• Effectively communicate complex data findings and recommendations to technical and non-technical audiences.

About You 

• You will possess a structured approach, analytical prowess, and impeccable data science skills. 
• A structured thinker with a passion for turning data into actionable insights.
• Master’s degree in Statistics, Computer Science, Mathematics, or a related field.
• 2+ years of hands-on experience in a data science or applied ML role.
• Strong skills in Python (and optionally R), with experience using libraries like scikit-learn, TensorFlow, PyTorch, or AutoML tools.
• Practical understanding or experience with Retrieval-Augmented Generation (RAG) and Gen AI concepts.
• Experience working with cloud platforms such as AWS, Azure, Snowflake, and Neo4j.
• Familiarity with MLOps and LLMOps frameworks, CI/CD pipelines for model deployment and monitoring.
• Proficient in using Tableau or Power BI to create dashboards and reports.
• Experience with notebook environments such as Jupyter Notebook, RStudio, or Databricks.
• Strong communication skills and ability to translate complex technical concepts to non-technical audiences.
• Open to feedback, collaborative in nature, and passionate about continuous learning.