Data Scientist

Waggel; Wes-Kaap; Remote; ZAR 400 000 - 500 000; Full time

Job summary

A UK-based technology-driven pet insurance company is seeking a curious and hands-on Data Scientist to explore data and build predictive models. This role involves collaborating with a data team and supporting the build of production-grade models. The ideal candidate enjoys uncovering insights and working with AI. Remote working, competitive salary, and flexible hours are offered.

Benefits

Remote working

Competitive salary

Flexible hours

Qualifications

• Strong understanding of exploratory data analysis techniques.
• Experience with AI and predictive modeling is preferred.
• Ability to create insightful visualizations.

Responsibilities

• Perform exploratory data analysis to uncover trends.
• Collaborate with data team to test high-impact use cases.
• Support ML Engineer in building production-grade models.
• Work with teams to frame business problems as data questions.
• Create clear visualizations and share results.

Skills

Exploratory data analysis

Predictive modeling

Collaboration

Data visualization

Job description

Overview

Waggel is a UK-based pet insurance company that aims to make pet ownership easier and more affordable through technology.

We’re looking for a curious, hands-on Data Scientist to help us explore and make sense of the growing wealth of data at Waggel. You’ll work alongside our Machine Learning Engineer and Data Engineer to support Waggel’s mission to become a truly data-centric company.

This role is ideal for someone who loves to explore data, and come up with creative ways to test ideas and take solutions all the way to production. You will play a key part in pulling out the insights from our data, discover opportunities in that data, and build early-stage predictive models that can evolve into production-ready implementations.

Responsibilities

• Performing exploratory data analysis on new and existing datasets to uncover trends, spot anomalies, and develop hypotheses
• Collaborating with the broader data team to identify and test high-impact use cases for AI and predictive modelling
• Prototyping models or analyses to test hypotheses and validate ideas
• Supporting the ML Engineer in building production-grade models and pipelines by helping with feature generation, data cleaning, and model evaluation
• Working closely with other teams to understand business problems and frame them as data science questions
• Helping define and maintain a process for model testing, benchmarking, and iteration
• Creating clear, insightful visualisations and sharing results
• Keeping an eye on developments in the AI and data science space

What We Offer

• Remote working
• Competitive salary
• Flexible hours