Role overview
- Develop and enhance machine learning models and deploy them into production.
- Co-create the standards for Data Science delivery from discovery through to production.
- Utilize your expertise in analytics, data science, and data storytelling to see beyond the numbers, understanding user interactions with our products and communications, and how these insights can shape our communication strategy.
- Guide and empower teams to measure what matters; initiate or assist in running A/B experiments to continuously improve our efforts.
- Work closely with engineers to ensure we collect the right data to generate relevant business insights.
- Collaborate with various departments, including product, editorial, and commercial, to leverage machine learning and analytics to identify optimization opportunities.
- Conduct deep analysis into the core aspects of PEI's operations to fully understand key levers and propose improvements.
Preferred qualifications
- Experience in Financial Data and/or Alternative Investments
- Interest in investing or financial modelling
- Knowledge graph experience
- Probabilistic programming experience (e.g PyMC, Stan).
- Causal Inference knowledge/experience.
- Python and Jupyter Notebooks.
- PySpark for processing big data.
- Databricks: Workflows, Asset Bundles, MLFlow.
About the company
- Have an advanced degree in a quantitative discipline.
- Have a growth mindset and are hungry to learn and improve.
- Have considerable knowledge of, and experience using advanced statistical techniques in an applied setting.
- Possess the ability to write production quality code in Python and SQL.
- Have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so.
- Are commercially minded and can put numbers into business perspective.
- Are as comfortable getting hands-on as taking a step back and thinking strategically.
- Know how to use Agentic Coding to make yourself incredibly productive.
- Are a team player whom your colleagues can rely on.
- Have excellent presentation and communication skills and get excited to turn data into stories accessible for stakeholders.
- Are comfortable with complexity & developing a holistic understanding of a system to propose & build solutions.
Tags & focus areas
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