Data Scientist

Hackajob Ltd
London, UK
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
£61,000.0 - £101,000.0
Working hours
Regular working hours

Tech stack

A/B Testing Artificial Intelligence Data Analysis Big Data Cloud Computing Cluster Analysis Computer Programming Data Mining Data Visualization Data Warehousing Distributed Systems R (Programming Language)
+6 more
Python (Programming Language) Machine Learning SQL Databases Deep Learning Information Technology Data Analytics

Job description

  • 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.

Technologies:

  • Big Data
  • Cloud
  • HTTP
  • Support
  • Machine Learning
  • Python
  • SQL

Requirements

  • 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, and 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.

About the company

We are partnering directly with bet365 to hire for this role. We are one of the worlds leading online gambling companies, revolutionising the industry since 2000. Founded by Denise Coates CBE, we employ over 10,000 people and serve over 120 million customers in 26 languages. Our culture celebrates creativity and rewards new ideas, offering growth opportunities and the chance to make a real impact. We are a forward-thinking company with a market-leading position in In-Play betting, more than 1.38 million In-Play sporting events a year, over 750 concurrent sporting fixtures at peak, more live sports streamed than anyone else in Europe, over 6 million HTTP requests daily, and more than 1.5 million bets processed per hour at peak. Our Data Analytics team monitors, analyses, and optimises key performance indicators across our Sports and Gaming products. This Data Scientist role works with a modern and powerful tech stack and is eligible for inclusion in our hybrid work from home policy. We are committed to creating an environment where everyone feels welcome, respected and valued, and we support adjustments or accommodations during the recruitment process.

last updated 39 week of 2026

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