Applied Data Scientist

Revionics; Greater London; Hybrid; GBP 50,000 - GBP 70,000; Full time

Job summary

A leading analytics company has an opening for an Applied Data Scientist in the UK, ideal for candidates with strong quantitative skills. The role involves delivering demand models and forecasts to retail clients while working with various teams to provide analytical insights. Applicants should have 2+ years in analytics or ML, experience with databases, and be proficient in data visualization tools. This position promotes creativity and problem-solving in a fast-paced environment, with remote work options available.

Qualifications

• 2+ years of experience in analytics or machine learning role in consulting or industry.
• Experience with relational databases and creating scripts to automate analysis.
• Skilled in data visualization tools to display complex information clearly.

Responsibilities

• Deliver accurate demand models and forecasts to retail customers.
• Work with Professional Services and Customer Success teams to provide insights.
• Communicate complex information to both technical and non-technical audiences.

Skills

Quantitative and analytical skills

Problem-solving skills

Communication skills

Visualization skills

Education

Undergraduate degree in mathematics, statistics, or similar STEM field

Tools

Python

SQL

Tableau

MS SQL Server

Google BigQuery

Job description

**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 to deliver accurate demand models and forecasts to our retail customers, and to help 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 ability to understand and explain statistical ML models (such as those used for demand forecasting).A great communicator – with 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 experienceYou 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 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 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’sit’s also about applying that knowledge to other areas of the job or business where it might make sense. ### Prospect Introduce YourselfIntroduce yourself to our recruiters and we'll get in touch if there's a role that seems like a good match.