Hybrid Data Scientist - ML, Analytics & Impact

bet365; Manchester; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

bet365 is seeking a Data Scientist to develop machine learning solutions and perform statistical analysis to inform strategic decisions across sports and gaming products.

You will extract insights from large datasets, build predictive models, and enable data-driven decision-making across functions, collaborating with Fraud, Responsible Gambling, Trading and Branding in a fast-paced, high-volume environment.

Qualifications

• PhD in CS, Statistics, Mathematics or related quantitative field.
• Strong proficiency in Python, R and SQL.
• Experience with core ML techniques: regression, classification, clustering, deep learning.
• Excellent analytical, problem-solving and communication skills.
• Knowledge of data mining, warehousing and visualization techniques.
• Familiarity with cloud computing, distributed systems and big data technologies.
• Ability to explain technical findings to non-technical audiences.
• Experience collaborating with stakeholders across functions.

Responsibilities

• Sourcing, cleaning, and validating diverse datasets.
• Performing exploratory data analysis to uncover patterns and insights.
• Developing and deploying statistical and machine learning models.
• Designing and analysing A/B tests and other experiments to measure impact.
• Contributing to scalable data science infrastructure.
• Partnering with stakeholders to translate goals into data-driven solutions.
• Communicating findings via visualisations, reports, and presentations.
• Researching and championing innovative data science techniques.
• Fostering continuous learning and innovation within the team.

Skills

Analytical thinking

Python

R

SQL

ML techniques

Data visualization

Cloud computing

Big data

Data mining

Data warehousing

Communication

Education

PhD in Computer Science/Statistics/Mathematics or related field

Tools

N/A

Job description

bet365 is seeking a Data Scientist to develop machine learning solutions and perform statistical analysis to inform strategic decisions across sports and gaming products.

You will extract insights from large datasets, build predictive models, and enable data-driven decision-making across functions, collaborating with Fraud, Responsible Gambling, Trading and Branding in a fast-paced, high-volume environment.