Data Scientist, Parker Lane Group
Inventory management for fashion retailers
Job no longer available
Inventory management for fashion retailers
1-20 employees
Job no longer available
1-20 employees
Company mission
Parker Lane Group's mission is to revolutionise the supply chain by ensuring that retailers are able to manage their returns and terminal stock in a way that is both commercially savvy and good for the environment.
Role
Who you are
- Excellent understanding of machine learning techniques and algorithms
- Experience with common data science toolkits, such as R
- Great communication skills, at all stakeholder levels
- Experience with data visualisation tools, such as Qlik and Tableau
- Proficiency in using query languages such as SQL
- Experience with MYSQL and NoSQL databases, such as MongoDB
- Good applied statistics skills, such as distributions, statistical testing, regression, etc
- Data-oriented personality
What the job involves
- Selecting features, building and optimizing classifiers using machine learning techniques
- Data mining using state-of-the-art methods
- Enhancing data collection procedures to include information that is relevant for building analytic systems
- Processing, cleansing, consolidating and verifying the integrity of data used for analysis
- Ad-hoc analysis and presenting results in a clear manner
Salary benchmarks
Otta's take
Sam Franklin
CEO of Otta
Parker Lane Group helps brands manage goods returned by customers, and other inventory-related problems, to make the most of their unsold stock. The company provides a range of services across their clients’ supply chains, including returns management, quality control, excess stock monetisation, industry consultancy, and zero waste recycling for items that cannot be resold.
Parker Lane’s offering has become increasingly relevant throughout the pandemic and post-pandemic retail market disruption. Retailers have need of solutions that convert material into revenue immediately, and allow them to keep up with the evolving space. Parker Lane’s advanced AI-powered, data-driven approaches allow it to continually evolve and innovate, adjusting to new developments in the industry and providing best practice services to clients.
The company currently works with a large number of partner brands including NA-KD, Kiabi, Cache Cache, and Tendam Group, and is active across numerous markets worldwide. Driven by strong environmental values, it has worked with these brands to save billions of litres of water, hundreds of thousands of tons of carbon, and thousands of trees since 2010.
Insights
Few candidates hear
back within 2 weeks
Company
Company benefits
- Bonus scheme
- Cycle 2 Work scheme
- Birthday gift
- 22 days holiday (excl. bank holidays)
- Work from home opportunities
- Health insurance
- Referral bonus policy
Company values
- We work collaboratively and make decisions collectively.
- We care about sustainability and conscious consumerism.
- We foster a culture of entrepreneurship.
Company HQ
Shepherd's Bush, London, UK
Articles
Founders
Raffy Kassardjian
(CEO)Raffy has a background in supply chains and logistics solutions.
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