At a Glance
- Tasks: Develop advanced pricing algorithms using machine learning to boost profit margins for clients.
- Company: Exciting seed-funded startup with a collaborative and innovative culture.
- Benefits: Competitive salary, opportunity for growth, and a chance to shape the future of the company.
- Other info: Dynamic startup environment with opportunities for professional development and series A funding on the horizon.
- Why this job: Join a small team and make a real impact in the entertainment industry with cutting-edge technology.
- Qualifications: Strong quantitative background and 2-4 years of experience as a Data Scientist.
The predicted salary is between 50000 - 60000 £ per year.
£2.5 million seed funded startup 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 productionising analytics code: pandas, scipy and numpy.
If you are 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.
Senior Data Scientist employer: Wyatt Partners
As a leading global Analytics company, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to innovate and excel. With a strong focus on professional development, we offer numerous growth opportunities for our team members, particularly in the vibrant FMCG and Retail sectors. Our competitive salary package, including bonuses and car allowances, reflects our commitment to attracting top talent and ensuring a rewarding career journey.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving machine learning and data analysis. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in data science. Be ready to discuss your experience with Python, statistical methods, and any relevant projects you've worked on.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight how your skills align with the role and the company's mission.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior Data Scientist role. Highlight your coding expertise in Python and any relevant projects you've worked on, especially those involving machine learning or data analysis.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're excited about this opportunity. Share your passion for data science and how you can contribute to our mission of helping clients in the entertainment industry boost their profit margins.
Showcase Your Projects:If you've worked on any interesting data science projects, make sure to mention them! Whether it's pricing algorithms or time series analysis, we want to see how you've applied your skills in real-world scenarios.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Wyatt Partners
✨Know Your Tech Stack
Familiarise yourself with the technologies mentioned in the job description, especially Python and its libraries like Pandas and SciPy. Be ready to discuss how you've used these tools in your previous roles and how they can be applied to the sophisticated pricing algorithms you'll be working on.
✨Showcase Your Modelling Skills
Prepare to talk about specific modelling techniques you've employed, such as timeseries analysis or reinforcement learning. Bring examples of past projects where you successfully implemented these methods and how they led to tangible business outcomes.
✨Cultural Fit is Key
Since this is a small startup, demonstrating that you align with their culture is crucial. Be prepared to discuss your interest in scientific research and how you enjoy collaborating in a team environment. Share experiences that highlight your teamwork and communication skills.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's future plans, especially regarding their Series A funding and how they envision scaling their data science efforts. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.
