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Data Scientist Redditch / Hybrid

Akkodis
Posted 12 days ago, valid for 12 days
Location

Redditch, Worcestershire B97 5LN

Salary

£55,000 per annum

Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • A Data Scientist position is available in Redditch, Worcestershire, with a salary of up to £55,000 per year plus benefits.
  • The role involves collaborating with stakeholders to analyze large datasets and develop data-driven pricing strategies.
  • Key responsibilities include using statistical methods and machine learning for pricing optimization and forecasting customer demand.
  • Candidates should possess a degree in a relevant field, strong analytical skills, and experience with Python, SQL, and Power BI.
  • The position requires a self-starter attitude and the ability to communicate complex ideas simply, with no specific year of experience mentioned.

Data Scientist

Location: Redditch, WorcestershireJob Type: Full-timeSalary: Up to £55,000 per year + benefits

About the Job:My client is building a new Commercial Planning team to focus on pricing, promotions, and forecasting across their business and they need a Data Scientist to help make it happen!

In this role, you'll dig into big datasets and use data-driven insights to shape pricing strategies that boost revenue, improve customer experience, and drive business growth. If you love working with data, solving problems, and collaborating with a team, we'd love to hear from you!

What You'll Do:

  • Project Work: Team up with stakeholders to figure out project goals, collect and prep data, build models, and share the results.
  • Data Crunching: Use stats and machine learning to analyse data around pricing, promotions, and customer behaviour, and turn it into insights that help guide pricing decisions.
  • Price Optimisation: Create tools to help us set the best prices for profit or growth, using models like regression and machine learning.
  • Forecasting: Build models to predict pricing trends and customer demand, and see how different strategies affect the business.
  • Automation: Use tools like Python, Databricks, and Power BI to streamline pricing processes like indexing and elasticity analysis.

What You'll Need:

  • Degree in a relevant field (science or quantitative subject)
  • Strong skills in analytics and experience with Python, SQL, Power BI, Databricks
  • Familiarity with pricing strategies and modelling
  • Ability to explain complex ideas in simple terms
  • Self-starter attitude and ability to work independently

Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law.

Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers.

By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.

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In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.