Data Scientist

Bet365 Company; Manchester; Hybrid; GBP 55,000 - 90,000; Full time

Job summary

Bet365 is hiring a Data Scientist to develop machine learning solutions and perform statistical analysis to drive strategic business decisions. You will extract insights from large datasets, build predictive models, and support data-driven decision making across Fraud, Responsible Gambling, Trading, and Branding teams.

The role engages with stakeholders, leverages a modern tech stack, and follows a hybrid work-from-home policy, enabling collaboration across functions in a fast-paced, high-volume

Qualifications

• PhD in a quantitative field or closely related doctorate.
• Experience with core machine learning techniques including regressions, classification, clustering and deep learning.
• Strong programming skills in Python, R, SQL.
• Familiarity with data science libraries and frameworks.
• Knowledge of data mining, data warehousing, and data visualization.
• Strong communication with technical and non-technical audiences.
• Knowledge of AI and its use within data science.

Responsibilities

• Sourcing, cleaning, and validating diverse datasets from internal and external sources.
• Conducting exploratory data analysis to uncover patterns and inform decisions.
• Developing and deploying robust statistical and machine learning models.
• Designing, implementing, and analysing A/B tests to measure impact.
• Contributing to scalable data science infrastructure and tooling.
• Partnering with stakeholders to translate business goals into data-driven solutions.
• Communicating findings through visualisations, reports, and presentations.

Skills

Analytical skills

Problem-solving

Critical thinking

Communication skills

Team collaboration

Education

PhD degree in Computer Science, Statistics, Mathematics, or a related quantitative field

Tools

Python

R

SQL

Big data technologies

Cloud computing

Data mining

Data warehousing

Data visualization

Job description

As a Data Scientist, you will develop machine learning solutions and perform statistical analysis to inform strategic, data-driven business decisions and initiatives.

Our Data Analytics team monitors, analyses, and optimises key performance indicators across our range of Sports and Gaming products. We are looking for a talented Data Scientist to join us and help turn complex data into clear, actionable insights.

In this role, you will be instrumental in extracting valuable insights from vast datasets, developing predictive models, and contributing to data-driven decision-making across various business functions.

Collaborating with stakeholders from areas such as Fraud, Responsible Gambling, Trading and Branding allows us to identify opportunities, solve complex problems, and build robust data solutions. This is an exciting opportunity to apply cutting-edge data science techniques in a fast-paced, high-volume, and globally recognised industry, utilising a modern and powerful tech stack.

This role is eligible for inclusion in the Company’s hybrid work from home policy.

Qualifications

• Excellent analytical, problem-solving, and critical thinking skills.
• PhD degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Experience using core machine learning techniques, such as regressions, classification, clustering and deep learning.
• Strong programming skills in languages such as Python, R, SQL.
• Familiarity with data science libraries and frameworks.
• Detailed understanding of data mining, data warehousing, and data visualisation techniques.
• Knowledge of Artificial Intelligence and its use within data science.
• Strong communication skills with both technical and non-technical audiences.
• Knowledge of cloud computing, distributed systems, and big data technologies.

Additional Information

• Sourcing, cleaning, and validating diverse datasets from various internal and external sources.
• Conducting in-depth exploratory data analysis to uncover hidden patterns, identify trends, and generate actionable insights that inform strategic business decisions.
• Developing and deploying robust statistical and machine learning models to address complex business challenges and drive innovative solutions.
• Designing, implementing, and analysing A/B tests and other controlled experiments to measure the impact of new features, strategies, or models.
• Contributing to the development and maintenance of scalable data science infrastructure.
• Partnering closely with stakeholders to understand key business goals and translate them into effective, data-driven solutions.
• Communicating complex findings and insights to technical and non-technical audiences through visualisations, reports, and presentations.
• Researching and championing innovative data science techniques, tools, and methodologies.
• Fostering a culture of continuous learning and innovation within the wider Data Analytics team.

By applying to us you are agreeing to share your Personal Data in accordance with our Recruitment Privacy Notice - https://www.bet365careers.com/privacy-policy

At bet365, we're committed to creating an environment where everyone feels welcome, respected and valued. Where all individuals can grow and develop, regardless of their background. We're Never Ordinary, and we're always striving to be better. If you need any adjustments or accommodations to the recruitment process, at either application or interview, please don’t hesitate to reach out.