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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 employer: Revionics
Contact Detail:
Revionics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. 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 data projects, visualisations, and any relevant analyses. 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 practising common data science questions and case studies. Be ready to explain your thought process and how you tackle problems – it’s all about demonstrating your analytical skills!
✨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, we love seeing candidates who are proactive and engaged with our company.
We think you need these skills to ace Applied Data Scientist
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 role involves explaining data to both technical and non-technical audiences, we recommend including examples of how you've successfully communicated complex information in the past. It’ll help us see your communication style!
Tailor Your Application: Take the time to tailor your application to the job description. Mention your experience with relational databases and data visualisation tools like Tableau or Looker. We love seeing how your background aligns with what we’re looking for!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and get you into our system. Plus, it shows you’re serious about joining our awesome team!
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
Since this role involves explaining complex data to both technical and non-technical audiences, practice simplifying your explanations. Use analogies or visual aids if possible, and be prepared to answer questions that may arise from your explanations.
✨Showcase Your Problem-Solving Skills
Be ready to discuss how you approach problem-solving in data analysis. Prepare a few examples where you identified patterns or outliers in data and how you used that information to drive decisions. This will highlight your analytical thinking and creativity.
✨Familiarise Yourself with Tools
Make sure you’re comfortable with the tools mentioned in the job description, like Python, SQL, and data visualisation software. If you have experience with Tableau or Looker, prepare to discuss how you’ve used these tools to present data insights effectively.
