Data Scientist - Pricing at Lovehoney Group
Berlin, , Germany -
Full Time


Start Date

Immediate

Expiry Date

18 Nov, 25

Salary

0.0

Posted On

19 Aug, 25

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

Lovehoney Group is the world’s leading sexual wellbeing company. We offer exciting brands with innovative, high-quality sex toys, lingerie, and accessories in a smooth online shopping experience.
Lovehoney employs over 900 awesome, diverse & driven people throughout our 9 offices across the globe, celebrating a broad spectrum of talents in engineering, industrial design, sales, and marketing.
We are proud to be a company that thrives by doing things differently, challenging expectations and stereotypes while making a positive impact on our customers’ lives.
We are currently recruiting a Pricing Data Scientist who will be integral to driving high-level performance across Lovehoney Group. Partnering directly with the Category Management team, your focus will be on building data-driven models, analytics, and experimentation frameworks to optimize product pricing and revenue outcomes within the Product Area.

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities
  • Develop and implement predictive pricing models to optimize pricing, promotions, and discount strategies.
  • Conduct in-depth data analysis and experimentation (e.g., elasticity modelling, demand forecasting, A/B tests,) to inform pricing decisions. Collaborate with Category Management to translate data-driven insights into business actions.
  • Build and maintain robust data pipelines and pricing simulation tools.
  • Utilize data visualization tools like (Superset, Tableau, Python libraries) to generate actionable insights.
  • Drive automation of manual pricing processes through analytics and modelling. Assist in the implementation of cutting-edge pricing tools
  • Implement discounting playbooks aligned with company policies
Loading...