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- Tasks: Deliver accurate demand models and forecasts for retail clients using data science.
- Company: Revionics, a forward-thinking company with a collaborative Science Services team.
- Benefits: Flexible remote work options, competitive salary, and opportunities for professional growth.
- Why this job: Join an innovative team and make a real impact in the retail industry.
- Qualifications: Strong analytical skills, experience in ML, and proficiency in data visualisation tools.
- Other info: Dynamic environment with a focus on creative problem-solving and continuous learning.
The predicted salary is between 28800 - 48000 £ per year.
About the role: Revionics has an immediate opening for an Applied Data Scientist. Preferred location is London, but will consider remote workers in locations across the UK, France or Germany. This is a client-facing role in our Science Services team, responsible for delivering accurate demand models and forecasts to our retail customers, and helping clients understand and be confident in our data and Machine Learning-driven forecasts and price recommendations.
If this sounds like your kind of fun and you’re ready to take on a challenge and be part of an awesome team, this is the right role for you!
Who You Are
- You have strong quantitative, mathematical and analytical skills; with the ability to understand and explain statistical ML models (such as those used for demand forecasting).
- A great communicator – with the ability to explain complex information and data, to technical and non-technical audiences.
- A creative problem solver, with hands-on practical data skills. You love figuring out issues, spotting patterns, and using structured methods to investigate data.
- Self-motivated to perform in an environment where you are likely to be working on multiple projects or tasks in parallel; to deliver solutions with accuracy and speed.
- Undergrad degree in mathematics, statistics or similar STEM field, or equivalent work experience.
- You have 2+ years of experience working in analytics / ML role in consulting or industry.
- Experienced working in relational databases (MS SQL Server, Google BigQuery, or equivalent).
- Experienced creating analytic scripts to automate analysis processes (e.g. Python, R, SQL, Alteryx etc).
- Skilled in data visualization (Tableau or Looker highly desired), with the ability to display complex information in a simple and clear manner.
- Work with our Professional Services and Customer Success teams, especially Price Strategy Consultants, in the delivery of data science services and sharing of analytical insight as part of client projects.
- Experience working in or with the retail industry (especially merchandising or pricing roles).
- Demonstrated ability to quickly spot patterns, correlations or outliers in data – helping get to the root of a problem. You have a unique ability to see both the forest and the trees.
At Aptos, we have a pioneering spirit -- when we have questions, we find answers; when we’re faced with challenges, we find solutions. We are keen to learn: we turn to a variety of resources, including our own colleagues, our professional network, the Internet, articles and books -- whatever helps us get the job done. But it’s also about applying that knowledge to other areas of the job or business where it might make sense.
Applied Data Scientist in London employer: Revionics
Contact Detail:
Revionics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common data science questions and case studies. We recommend simulating real interview scenarios with friends or mentors to boost your confidence and refine your answers.
✨Tip Number 3
Show off your skills! Create a portfolio showcasing your projects, especially those involving data visualisation and machine learning. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our awesome team!
We think you need these skills to ace Applied Data Scientist in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your quantitative, mathematical, and analytical skills in your application. We want to see how you can explain complex statistical models, so don’t hold back on showcasing your expertise!
Be a Great Communicator: Since this is a client-facing role, it’s crucial to demonstrate your communication skills. Use your application to show us how you can break down complex data into simple terms for both technical and non-technical audiences.
Tailor Your Application: Take the time to tailor your application to the role. Mention your experience with data visualisation tools like Tableau or Looker, and how you've used them to present data clearly. We love seeing candidates who understand the specifics of what we do!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, we’re excited to hear from you directly!
How to prepare for a job interview at Revionics
✨Know Your Data Inside Out
As an Applied Data Scientist, you’ll need to demonstrate your understanding of statistical models and data analysis. Brush up on your knowledge of demand forecasting and be ready to discuss specific examples from your past work where you've successfully applied these skills.
✨Communicate Clearly
You’ll be explaining complex data insights to both technical and non-technical audiences. Practice simplifying your explanations and use relatable analogies to make your points clear. This will show that you can bridge the gap between data and decision-making.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you approach problem-solving in data analysis. Think of a few scenarios where you identified patterns or outliers in data and how you tackled those challenges. Highlight your creative thinking and structured methods.
✨Familiarise Yourself with Tools
Make sure you’re comfortable discussing the tools mentioned in the job description, like Python, SQL, and data visualisation software. If you have experience with Tableau or Looker, be ready to share how you’ve used them to present data effectively.
