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- Tasks: Lead data science projects to optimize betting odds and enhance user engagement.
- Company: Join a dynamic team focused on innovative betting strategies in Central London.
- Benefits: Enjoy a hybrid work model with a competitive salary of £60,000 - £70,000.
- Why this job: Make a real impact in the betting industry using advanced algorithms and predictive models.
- Qualifications: Advanced degree in Data Science or related field; extensive experience in senior data roles required.
- Other info: Familiarity with MLOps and knowledge of betting markets is a plus.
The predicted salary is between 48000 - 84000 £ per year.
Job Title: Senior Data Scientist Location: Central London – Hybrid Salary (Depending on experience) – £60,000 – £70,000 Job Description: Our client is seeking an experienced Senior Data Scientist to join their dynamic team. This role is integral to developing and implementing advanced algorithms and predictive models that drive their pricing and revenue management strategies. Your expertise will help them optimize betting odds, identify new betting opportunities, and enhance user engagement through data-driven insights. Key Responsibilities: Data Lifecycle Management: Oversee the entire data science lifecycle, from data collection to model deployment, ensuring insights are actionable and beneficial to our betting strategies. Collaborative Strategy Development: Work closely with cross-functional teams, including product, marketing, and operations, to define and execute data science strategies that drive innovation and enhance our betting products. Algorithm and Model Development: Lead the development of sophisticated data analytics, machine learning, and AI solutions to solve complex betting industry challenges, such as optimizing odds and predicting betting patterns. Insight Generation: Analyse large datasets to uncover trends and patterns that can enhance our betting strategies and improve customer experience. Qualifications: Educational Background: Advanced degree (Master’s or Ph.D.) in Data Science, Statistics, Mathematics, Economics, or a related field. Industry Experience: Extensive experience in a senior data science role, ideally within the betting, gaming, or financial industries. Technical Expertise: Proficiency in Python or R, with deep knowledge of data analysis and machine learning libraries such as Scikit-learn, TensorFlow, and Keras. Analytical Skills: Strong quantitative and analytical skills, with a proven ability to derive actionable insights from large datasets. MLOps Knowledge: Familiarity with MLOps best practices and experience working in multi-disciplinary teams to ensure models are efficiently deployed and maintained. Industry Insight: Knowledge of betting markets and regulatory environments is a plus.
Senior Data Scientist employer: Opus Recruitment Solutions
Contact Detail:
Opus Recruitment Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Make sure to showcase your experience with data lifecycle management. Highlight specific projects where you oversaw the entire process, from data collection to model deployment, as this is crucial for the role.
✨Tip Number 2
Emphasize your collaborative skills. Since you'll be working closely with cross-functional teams, mention any past experiences where you successfully developed strategies in collaboration with product, marketing, or operations teams.
✨Tip Number 3
Demonstrate your technical expertise by discussing specific algorithms or models you've developed. Be prepared to explain how these solutions addressed complex challenges, particularly in the betting or financial sectors.
✨Tip Number 4
Stay updated on the latest trends in the betting industry. Showing that you have knowledge of current market dynamics and regulatory environments can set you apart from other candidates.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly in the betting or financial industries. Emphasize your technical skills in Python or R and any experience with machine learning libraries like Scikit-learn, TensorFlow, and Keras.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and the betting industry. Discuss specific projects where you've developed algorithms or predictive models, and how they contributed to business outcomes.
Highlight Collaborative Experience: Since the role involves working with cross-functional teams, include examples of past collaborations. Describe how you’ve worked with product, marketing, or operations teams to drive data science strategies.
Showcase Analytical Skills: Provide concrete examples of how you've analyzed large datasets to uncover trends and improve strategies. Use metrics or results to demonstrate the impact of your insights on previous projects.
How to prepare for a job interview at Opus Recruitment Solutions
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in Python or R, and highlight specific projects where you've utilized data analysis and machine learning libraries like Scikit-learn, TensorFlow, or Keras. Providing concrete examples will demonstrate your technical expertise.
✨Demonstrate Industry Knowledge
Familiarize yourself with the betting industry, including current trends and regulatory environments. During the interview, share insights on how your knowledge can contribute to optimizing betting odds and enhancing user engagement.
✨Highlight Collaborative Experience
Since this role involves working closely with cross-functional teams, be ready to discuss past experiences where you collaborated with product, marketing, or operations teams. Emphasize how your contributions led to successful data science strategies.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving abilities, particularly in developing algorithms and predictive models. Practice articulating your thought process and approach to solving complex challenges in the betting industry.
