Our client in the financial industry is looking for a Senior Data Science to join their team.

Your work is a canvas for change, painted with the data you explore and the insights you uncover. This is a data science role focusing on acquiring as many quality clients as possible through performance and brand marketing, in the most cost-efficient way possible.

Key Responsibilities
Establish the first principles and facilitate discussions about how to create data about relevant user behaviours and measure success. Design event log schemas and test their implementation.
Wrangle data into the ideal format for the necessary tool (e.g. Python, Tableau, PowerBI), no how raw and unstructured it and what lake/lakehouse it’s stored in.
Setting team metrics: Define holistic measurement frameworks that enable the team to explore their performance holistically and work with the team to identify and track the metrics that measure success
Identity loosely defined commercial problems and produce meaningful insights that guide iterations of the teams products and go-to-market campaigns
Structure commercial problems into prediction problems by clarifying both what is being predicted and how that enables us to change our products or campaigns to obtain a better result. Develop and implement ML models for the highest priority prediction problems, ensuring outstanding model and product performance.
Establish the learning goals of their team, crafting hypothesis statements and learning roadmap wherever needed. Design, execute and draw correct conclusions from experiments by confirming integrity of experiment, avoiding common pitfalls, and executing frequentist or Bayesian A/B analysis.
Using rule and unsupervised learning based approaches to segment the client base so we can develop a deeper understanding of customers and build better products for them.
Creating impactful visualisations: Produce data and interactive visualisations that enable the whole team to address their recurring reporting and insight needs, without your direct support.
Partner with stakeholders to make sure they gain the confidence they need to drive changes in the product roadmap or ask for further insight.
Create a culture of insights and learning, where everyone obsesses about their success metrics and are constantly testing and learning to better their performance.

Minimum Requirement
At least 5 years’ equivalent work experience
8 years Data Scientist
8 years or more in the Fintech

Location & Type:
(Hybrid)