Data Scientist

Data Scientist

  • Anywhere

Company Name:-
H&M Group

Job Location:-
Bengaluru, Karnataka

Job Summary:-
Company Description
We are on an exciting journey to meet and exceed our customers’ expectations today, tomorrow and in the future.

Rapid technological development and new customer behaviours are transforming the fashion retail industry.

To cater the individual needs and desires of our millions of customers, Business Tech delivers technological solutions for the entire value chain for all our brands.

The best ideas evolve when great minds with different perspectives get together.

We’re all on the same team in a global environment and we learn from each other.

There are endless opportunities to grow – your development is all up to you!
We are proud to foster a workplace free from discrimination.

We strongly believe that diversity of experience, perspectives, and background will lead to a better environment for our employees and a better product for our users.

H&M Group – Business Tech.

Job Description
Product area: Supply Planning
Description: We plan our capacity and optimize allocation with a high degree of automation, integration and transparency in our collaborative network
Product team name: Production.

AI
Description: Production.

AI as an enabler team creates value from data by providing H&M Group with capabilities to lower our sourcing costs and optimize our production flows.

Production.

AI provides solution to different tools, applications and systems within H&M, starting in 2019 with Fact Based Costing, with the first use case called Comparable Product Recommendation engine, where we provide the best match, given the data available, that matches historically with what the user is currently negotiating prices on.

The purpose of Production.

AI is to provide three different parts of One end-2-end AI eco-system:
A Data Platform, with the information needed to build algorithms that support our teams
Algorithms that generate matches and/or recommendations for our processes and solutions to use
APIs that make recommendations available for other solutions to use
Role:
Within Production AI we develop and improve AI methods as well as explore how machine learning can be applied to support decision making in the organization.

Our focus is to bring business value and support the direction and next steps for our product

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