Sports Analytics Quantitative Researcher

Paradine; Leeds; On-site; GBP 60,000 - 90,000; Full time

Job summary

Paradine, a sports data analytics company, is seeking a Quantitative Researcher to Leeds or London. You will work with vast data sets and build probabilistic models that drive sporting insight and opinion. Teams are small and flexible to tackle projects and extract information to better predict outcomes.

You should have strong maths/ stats grounding, experience with Python (numpy/pandas), and familiarity with R. Knowledge of probability theory and Bayesian methods is valuable.

Qualifications

• Degree (2:1 or higher) in STEM subject.
• Strong mathematical skills.
• Understanding of probability theory and Bayesian statistics.
• Experience using Python.
• Ability to write high-quality, readable code.

Responsibilities

• Build probabilistic models to predict sports outcomes.
• Work with large data sets and diverse data sources.
• Collaborate with cross‑functional teams to solve problems.

Skills

Mathematics

Probability theory

Bayesian statistics

Python

Readable code

Education

STEM degree (2:1+)

Tools

NumPy/Pandas

R

Job description

Paradine, a sports data analytics company, is seeking a Quantitative Researcher to Leeds or London. You will work with vast data sets and build probabilistic models that drive sporting insight and opinion. Teams are small and flexible to tackle projects and extract information to better predict outcomes.

You should have strong maths/ stats grounding, experience with Python (numpy/pandas), and familiarity with R. Knowledge of probability theory and Bayesian methods is valuable.