CricViz | Data Scientist
CricViz | Data Scientist

CricViz | Data Scientist

London Full-Time 28800 - 43200 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Analyze cricket data, develop predictive models, and create fan engagement tools.
  • Company: CricViz is a leader in sports data analytics, focusing on cricket insights.
  • Benefits: Enjoy 25 days of holiday, hybrid work options, and flexible employee benefits.
  • Why this job: Join a dynamic team to impact cricket analysis and engage fans worldwide.
  • Qualifications: Bachelor’s or Master’s in Data Science with 2+ years of relevant experience required.
  • Other info: Passion for cricket and familiarity with fantasy sports is a plus.

The predicted salary is between 28800 - 43200 £ per year.

Data Scientist

About:

CricViz has established itself as the market leader in the collection, analysis and dissemination of data across the world’s leading cricket competitions. CricViz has the largest and most sophisticated database in world cricket. This creates unique opportunities for the company to become the world leader in cricket insight and analysis.

Our work spans several verticals, including Performance Analysis, Broadcast and Media, and Fantasy and Gaming platforms. As CricViz continues to grow, we are looking to scale rapidly to capitalize on our vast potential.

Role Overview:

CricViz is seeking a talented Data Scientist to join our dynamic team. In this role, you will leverage our extensive cricket data to generate valuable insights, develop predictive models, and create fan engagement tools that drive revenue growth across our key verticals. You will collaborate closely with the Data Science and Product teams, and other stakeholders to support the data-driven growth of the business.

Key Responsibilities:

Data Analysis & Modeling:

  • Analyze complex cricket datasets to extract meaningful insights and support business decisions.
  • Develop and implement predictive models using machine learning and statistical techniques.
  • Collaborate with the team to enhance existing models and develop new analytical tools.

Product Development:

  • Work with the Product team to integrate data science solutions into our product offerings.
  • Contribute to the creation of performance analysis tools for clients in Professional Cricket teams and the Broadcast and Media sectors.
  • Assist in the development of data-driven features for clients in the Fantasy and Gaming space.

Best Practices & Continuous Improvement:

  • Adhere to industry best practices in data science, including model development, validation, and documentation.
  • Stay updated with the latest advancements in machine learning and AI to incorporate into CricViz’s offerings.
  • Participate in code reviews and contribute to maintaining high-quality standards within the data science team.

Key Requirements:

Experience & Education:

  • Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
  • 2+ years of professional experience in Data Science or equivalent academic experience demonstrating relevant skills, preferably with some exposure to the sports sector.

Technical Skills:

  • Proficiency in Python (especially the PyData stack: pandas, numpy, scikit-learn, XGBoost), and experience with Git for version control is essential.
  • Strong understanding of machine learning algorithms including linear/logistic regression, decision trees, random forests, unsupervised methods, and neural networks. Experience with Bayesian and mixed models is a plus.
  • Experience in building, validating, and deploying predictive models, ensuring they meet business objectives.
  • Experience with data visualisation tools such as Matplotlib, Tableau, Plotly, Dash.
  • Familiarity in leveraging automation and AI tools for coding and writing purposes is a plus.

Analytical & Problem-Solving Skills:

  • Ability to work with large, complex datasets and derive actionable insights.
  • Proven track record of developing models that simplify data for non-technical audiences.

Collaboration & Communication:

  • Excellent communication and interpersonal skills to effectively collaborate with team members and stakeholders.
  • Ability to present complex information clearly and concisely to diverse audiences.

Industry Knowledge:

  • A strong understanding and passion for cricket is highly desirable.
  • Familiarity with the fantasy and gaming space within sports is a plus.

Equality and Diversity:

CricViz is committed to building an open and inclusive culture that supports personal development and learning. Ellipse believes in the principle of equal opportunity in employment and its employment policies for recruitment, training, development and promotion despite any differences based on individual grounds of race, colour, nationality, religion or belief, sex, sexual orientation, marital status, age, ethnic and national origin, disability or gender reassignment.

Benefits:

  • 25 days’ holiday plus bank holidays
  • Hybrid role with an expectation to work from our new offices in London and Leeds when required
  • Company pension scheme
  • Company life insurance
  • Flexible Employee Benefits

About Ellipse:

CricViz is part of Ellipse, a leading sports data and analytics company comprising CricViz, FootballViz, Horse Racing, RugbyViz (Oval and Stuart Farmer Media Services), and TennisViz. Working with the world\’s biggest broadcasters, professional teams, and rights holders, we simplify complex data to engage a broad and diverse audience and tell better stories about the sports we love.

To apply, please send your CV to careers@ellipsedata.com with the subject Data Scientist. Please also include a cover note outlining your relevant experience.

We can not promise to respond to all applicants due to the volume we receive.

CricViz | Data Scientist employer: CricViz

CricViz is an exceptional employer, offering a vibrant work culture that fosters collaboration and innovation in the heart of London and Leeds. With a commitment to employee growth, we provide extensive opportunities for professional development, alongside competitive benefits such as 25 days of holiday, a hybrid work model, and a supportive environment that values diversity and inclusion. Join us to be part of a leading team at the forefront of sports data analytics, where your passion for cricket can thrive and contribute to meaningful insights in the industry.
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Contact Detail:

CricViz Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land CricViz | Data Scientist

✨Tip Number 1

Make sure to showcase your passion for cricket during the interview. Since CricViz values a strong understanding of the sport, demonstrating your knowledge and enthusiasm can set you apart from other candidates.

✨Tip Number 2

Familiarize yourself with CricViz's existing products and services. Understanding how they leverage data science in their offerings will help you discuss how you can contribute to their growth and innovation.

✨Tip Number 3

Prepare to discuss specific projects where you've used machine learning and statistical techniques. Be ready to explain your thought process and the impact your work had on previous teams or organizations.

✨Tip Number 4

Network with professionals in the sports data industry. Engaging with others who share your interests can provide valuable insights and potentially lead to referrals that could enhance your application.

We think you need these skills to ace CricViz | Data Scientist

Data Analysis
Predictive Modeling
Machine Learning
Statistical Techniques
Python (PyData stack: pandas, numpy, scikit-learn, XGBoost)
Git for Version Control
Data Visualization (Matplotlib, Tableau, Plotly, Dash)
Analytical Skills
Problem-Solving Skills
Collaboration and Communication
Understanding of Cricket
Experience in Sports Data
Continuous Improvement Practices
Model Development and Validation

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly any work related to sports analytics. Emphasize your proficiency in Python and machine learning algorithms, as these are key requirements for the role.

Craft a Compelling Cover Note: In your cover note, clearly outline your relevant experience and how it aligns with CricViz's goals. Mention specific projects or achievements that demonstrate your ability to analyze complex datasets and develop predictive models.

Showcase Your Passion for Cricket: Since a strong understanding and passion for cricket is highly desirable, make sure to express your enthusiasm for the sport in your application. Share any relevant experiences or insights that connect your data science skills to cricket.

Highlight Collaboration Skills: CricViz values collaboration, so be sure to mention any experience working in teams or cross-functional projects. Highlight your communication skills and ability to present complex information clearly to diverse audiences.

How to prepare for a job interview at CricViz

✨Show Your Passion for Cricket

Since CricViz is deeply rooted in the world of cricket, make sure to express your enthusiasm and knowledge about the sport during the interview. Share any relevant experiences or insights that demonstrate your understanding of cricket analytics.

✨Demonstrate Your Technical Skills

Be prepared to discuss your proficiency in Python and the PyData stack. You might be asked to solve a problem or explain a project where you used machine learning algorithms. Highlight your experience with predictive modeling and data visualization tools.

✨Prepare for Collaboration Questions

CricViz values teamwork, so expect questions about how you've collaborated with others in past projects. Think of examples where you worked closely with product teams or stakeholders to achieve a common goal, and be ready to discuss your communication style.

✨Stay Updated on Industry Trends

Show that you are proactive about learning by discussing recent advancements in machine learning and AI that could benefit CricViz. Mention any relevant articles, tools, or techniques you've explored that align with the company's goals.

CricViz | Data Scientist
CricViz
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  • CricViz | Data Scientist

    London
    Full-Time
    28800 - 43200 £ / year (est.)

    Application deadline: 2027-01-20

  • C

    CricViz

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