Data Scientist

bet365; Manchester; Hybrid; GBP 55,000 - 75,000; Full time

Job summary

A leading gaming company in Manchester seeks a motivated Data Scientist to develop machine learning solutions and drive strategic, data-driven business insights. The successful candidate will analyze vast datasets, develop predictive models, and collaborate with cross-functional teams to optimize performance across Sports and Gaming products. A PhD in a quantitative field and strong programming skills are required. The role offers a hybrid working arrangement.

Qualifications

• PhD degree in a quantitative field.
• Proficiency in machine learning techniques.
• Strong programming skills in Python, R, SQL.

Responsibilities

• Develop machine learning models to drive business insights.
• Perform statistical analysis to support decision-making.
• Collaborate with stakeholders across the organization.

Skills

Analytical skills

Problem-solving

Critical thinking

Programming in Python

Programming in R

SQL proficiency

Machine learning techniques

Data mining

Data visualisation

Communication skills

Education

PhD in Computer Science, Statistics, Mathematics, or related field

Tools

Data science libraries

Cloud computing

Job description

Job Description

As a Data Scientist, you will be responsible for developing machine learning solutions and performing statistical analysis to inform strategic, data-driven business decisions and initiatives.

We are seeking a talented and motivated Data Scientist to join our Data Analytics team. The department is responsible for monitoring, analysing, and optimising key performance indicators across our range of Sports and Gaming products.

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. You will work collaboratively with stakeholders from areas such as Fraud, Responsible Gambling, Trading and Branding 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 working 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.
• Familiar 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 would be advantageous.

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.

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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.