Data Scientist

Bet3651

Manchester

Hybrid

GBP 60,000 - 90,000

Full time

2 days ago
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Benefits offered by this job

Hybrid work policy

Job summary

bet365 is looking for a Data Scientist to develop ML solutions and perform statistical analysis to guide strategic decisions across Sports and Gaming products.

You will extract insights from large datasets, build predictive models, and support data-driven decision-making with a hybrid work arrangement.

Qualifications

  • PhD required or equivalent research doctorate.
  • Experience using core machine learning techniques (regression, classification, clustering, deep learning).
  • Strong programming skills in Python, R and SQL.
  • Familiarity with data mining, data warehousing, and data visualization techniques.
  • Knowledge of AI and its use within data science.
  • Strong communication skills with technical and non-technical audiences.
  • Knowledge of cloud computing and big data technologies.

Responsibilities

  • Sourcing, cleaning, and validating diverse datasets from internal and external sources.
  • Conducting in-depth exploratory data analysis to identify trends and generate actionable insights.
  • Developing and deploying robust statistical and ML models for business challenges.
  • Designing and analysing A/B tests to measure impact of new features or models.
  • Contributing to scalable data science infrastructure and tooling.
  • Partnering with stakeholders to translate business goals into data-driven solutions.
  • Communicating findings via visualisations, reports, and presentations.
  • Researching and championing innovative data science techniques and tools.
  • Fostering a culture of continuous learning within the team.

Skills

Analytical thinking
Problem solving
Communication
Statistical analysis
Data storytelling

Education

PhD in Computer Science/Statistics/Mathematics

Tools

Python
R
SQL
Cloud platforms
Data visualization tools

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.

  • 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.
  • 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.

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