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Lead Data Scientist -Inventory & Stock

Quest Search and Selection Ltd
Posted 10 hours ago, valid for 9 days
Location

London, Greater London EC1R 0WX

Contract type

Full Time

Employee Discounts

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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  • Quest Search & Selection is seeking a Lead Data Scientist - Inventory & Stock for a leading tech eCommerce platform specializing in consumer goods and DTC delivery.
  • The role requires 4-6 years of experience in analytics or data science, preferably in areas like availability, demand planning, or inventory management.
  • Key responsibilities include developing decision support systems, optimizing buying policies, and collaborating with Planners and Data Analysts.
  • The position offers a competitive salary, company shares, annual bonuses, and benefits such as private medical and dental insurance.
  • This hybrid role allows for three days in the office and provides opportunities for career growth and performance appraisal.

Quest Search & Selection are currently partnering with a leading tech eCommerce platform specialised in consumer goods and warehouse DTC delivery.

The Lead Data Scientist -Inventory & Stock will develop decision support systems, analyse large datasets, and share insights to optimise category & commercial performance. You will collaborating with Planners and will manage another Data Analyst to drive NPD, category decision-making, and analysis.

Key responsibilities of this Lead Data Scientist -Inventory & Stock:

  • Design and evaluate experiments to optimise buying policies within stock ordering.
  • Establish dynamic targets for availability and expirations across subcategories.
  • Conduct in-depth analyses and post-implementation reviews to address challenges, uncover opportunities, and propose future experiments related to availability and reporting.
  • Partner with the Data Team to measure and report on availability levels and their impact on revenue and order volumes.
  • Collaborate with the Category and In-Stock Planning teams to enhance the Stock Ordering Tool and refined buying policies.
  • Deliver clear insights into the performance and value of buying policies integrated into the Stock Ordering Tool.
  • Ensuring wastage target levels for expirations and availability are achieved.

Key requirements of this Lead Data Scientist -Inventory & Stock -

  • Ideally having 4-6 years of experience in analytics or data science, preferably in availability, demand planning, operations, inventory or category management
  • Open to experience in Investment Banking as Senior Associate or VP level
  • Expert proficiency in SQL and databases, with the ability to write structured and efficient queries on large data sets.
  • Experience with dbt, Python or R, is a plus
  • Strong understanding of statistical analysis and experiment design.
  • Ideally a bachelor's degree or similar in, Mathematics, Statistics, or a related quantitative discipline is advantageous but not essential.
  • Visualisation Tools with BI platforms such as Looker, Tableau or Power BI are essential.

Benefits included for this Lead Data Scientist -Inventory & Stock -

  • Company Shares /RSU
  • Annual bonus
  • Hybrid role - 3 days in office
  • Employee discount.
  • Private Medical & Dental insurance.
  • Career growth opportunities.
  • Annual performance appraisal and bonus.

This is a great opportunity if you have the right skill sets to be part of an entrepreneurial team. If this role is of interest, please do apply quoting the reference no.

We request that candidates send their CV as a Microsoft Word document where possible.

Quest Search and Selection is acting as an Employment Agency in relation to this vacancy.

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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.