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- Tasks: Join a small team to develop advanced pricing algorithms using machine learning.
- Company: A £2.5 million seed funded startup focused on the entertainment industry.
- Benefits: Work in a collaborative environment with potential for remote work and flexible hours.
- Why this job: Be part of an innovative team making a real impact in the entertainment sector.
- Qualifications: Strong quantitative degree and 2-4 years of Data Science experience required.
- Other info: Opportunity to work with cutting-edge technologies and secure series A funding soon.
The predicted salary is between 36000 - 60000 £ per year.
Senior Data Scientist
Senior Data Scientist
£2.5 million seed funded Startup utilising Machine Learning
Data Scientist opportunity with a seed funded startup (£2.5 million), utilising machine learning technology to create up to 15% profit margin gains for clients in the entertainment industry.
You will join a small team of 2 in Data and a wider company of 14 employees. They are the type of business who enjoy discussing scientific research projects over lunch They plan on securing series A funding late this year.
They code in Python, and React on the Frontend. Tech & Data Science stack:
- Kubernetes & Docker on Google Cloud
- Python 3: Pandas, RabbitMQ, Celery, Flask, SciPy, NumPy, Dash, Plotly, Matplotlib
- Javascript, React, Redux
- PostgreSQL, Redis
- Prometheus, Alert Manager, DataDog
If you joined the company in a Data Science role you would be working on sophisticated pricing algorithms which would enable companies in the entertainment industry to significantly increase profit margins.
You’ll use a raft of different techniques from timeseries analysis to bayesian statistics, reinforcement learning & Monte Carlo Simulations.
Your Experience :
- You’ll likely come from a strong quantitative degree background in Science or Maths and have worked 2-4 years as a Data Scientist
- You’ll have incredibly strong modelling skills but know when to be pragmatic to ensure the best business outcomes
- You’ll be a coder in Python, C++ or Java
- Experience of productionizing analytics code
- pandas, scipy and numpy
If your a Data Scientist looking to go on an exciting new journey with an early stage startup, and the opportunity to work on advanced pricing algorithms is something that interests you, then this opportunity is for you.
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Senior Data Scientist employer: Wyatt Partners
Contact Detail:
Wyatt Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Kubernetes, Docker, and Google Cloud. Having hands-on experience or projects showcasing these tools can set you apart during discussions.
✨Tip Number 2
Brush up on your knowledge of advanced data science techniques like Bayesian statistics and reinforcement learning. Be prepared to discuss how you've applied these methods in real-world scenarios, especially in relation to pricing algorithms.
✨Tip Number 3
Engage with the startup community and follow trends in the entertainment industry. This will not only help you understand the market but also provide you with insights that could be valuable during your interview.
✨Tip Number 4
Network with current or former employees of similar startups. They can offer insider tips on the company culture and what they value in a candidate, which can help you tailor your approach when applying.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science, particularly with Python and the technologies mentioned in the job description. Emphasise any relevant projects or roles that showcase your modelling skills and familiarity with machine learning techniques.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your enthusiasm for working in a startup environment. Mention specific experiences that relate to the entertainment industry and how you can contribute to their goals of increasing profit margins.
Showcase Relevant Projects: If you have worked on projects involving pricing algorithms, timeseries analysis, or reinforcement learning, be sure to include these in your application. Provide brief descriptions of the projects and the impact they had, especially if they relate to business outcomes.
Highlight Team Collaboration: Since the role involves working closely with a small team, mention any previous experiences where you collaborated effectively with others. This could include teamwork in academic settings or professional environments, showcasing your ability to discuss scientific research and work towards common goals.
How to prepare for a job interview at Wyatt Partners
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and the specific libraries mentioned in the job description, such as Pandas, SciPy, and NumPy. You might be asked to solve a coding problem or explain your approach to data analysis, so brush up on your technical skills beforehand.
✨Demonstrate Your Problem-Solving Ability
Since you'll be working on sophisticated pricing algorithms, think of examples from your past experience where you successfully tackled complex problems. Be ready to explain your thought process and the techniques you used, such as reinforcement learning or Monte Carlo simulations.
✨Understand the Business Context
Research the entertainment industry and how data science can impact profit margins. Showing that you understand the business side of data science will impress the interviewers and demonstrate your ability to align technical solutions with business goals.
✨Prepare for Cultural Fit Questions
As a small startup, cultural fit is crucial. Be ready to discuss your teamwork experiences and how you enjoy collaborating with others. Since they value scientific discussions, think of ways to express your passion for research and innovation during the interview.
