At a Glance
- Tasks: Execute bets, research new areas, and analyse data in a fast-paced environment.
- Company: Join a dynamic team in the exciting betting industry based in London.
- Benefits: Competitive salary, performance bonuses, private health insurance, and gym membership.
- Other info: Flexible hours during football season and regular team events.
- Why this job: Be part of a collaborative team and grow your career while enjoying football culture.
- Qualifications: Basic understanding of betting processes and strong Excel skills.
The predicted salary is between 25000 - 35000 £ per year.
As the company continues to expand, we are looking for an energetic individual with a basic understanding of betting processes to join our in-house Analysis team in our London office. This role will require availability for day, evening, and weekend shifts. This is an office based role where you will be expected to be in our London office 5 days a week.
Key Responsibilities
- Execution of bets.
- Research into new areas.
- Demonstrably strong attention to detail.
- A focused and diligent work ethic under pressure.
- Fast mental arithmetic and numeracy skills.
- Proficiency in Microsoft Excel and the ability to present data in a compelling manner.
- Excellent written and verbal communication skills.
Skills, Knowledge and Expertise
- Recording and analysing data across a range of different fields.
- Monitoring market activity, within the organisation and across competitors.
- Making quick decisions based upon changing information and circumstances.
- Maintaining constant and clear communication with other members of the team.
- Willingness to work irregular shift patterns (including weekends).
- A working knowledge of Excel or Google Sheets; understanding of lookups, sumifs, import ranges and other functional formulae a bonus.
- A focused and diligent work ethic under pressure.
Benefits
- Salary depending on experience.
- Annual discretionary performance bonus.
- Comprehensive training in trading strategies, market dynamics, and tools.
- Opportunities for career growth in a dynamic and exciting industry.
- A collaborative work environment surrounded by football enthusiasts and data experts.
- Flexible working hours, particularly during the football calendar.
- 25 days holiday per annum, plus UK bank holidays.
- Private health & dental insurance.
- Optical cover through Aviva.
- Pension plan.
- Gympass membership to over 1900 gyms and wellness businesses.
- Breakfast bought in every day and lunch bought in twice a week.
- Free coffee & snacks at the office.
- Regular team events & socials.
Operator employer: Predict responsibly
Join a vibrant and dynamic team in our London office, where your passion for data and betting processes will be nurtured in a collaborative environment filled with football enthusiasts. We offer comprehensive training, flexible working hours, and numerous employee benefits, including private health insurance and regular team events, ensuring that you not only grow professionally but also enjoy a rewarding work-life balance. With opportunities for career advancement in an exciting industry, this is the perfect place for those looking to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Operator
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Predict responsibly!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Operator at Predict responsibly.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Predict responsibly.
✨Apply Directly through Our Website
When you find a suitable opening like Operator at Predict responsibly, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Operator
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Predict responsibly, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Predict responsibly. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Predict responsibly
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Predict responsibly!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
