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Data Scientist

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Ralph Lauren

Dec 5

  • Job
    Full-time
    Senior Level
  • Data
    Marketing
  • London

AI generated summary

  • You need experience in customer marketing data science, proficiency in Python and ML libraries, familiarity with cloud platforms, ML Ops knowledge, and strong communication skills. Global experience is a plus.
  • You will build predictive models, create customer segments, measure CRM effectiveness, monitor model performance, and collaborate with teams to enhance personalized marketing strategies.

Requirements

  • Relevant experience in Customer Marketing Data Science including applied statistics and machine learning techniques (supervised and unsupervised learning, natural language processing, Bayesian statistics, time-series forecasting, collaborative filtering etc)
  • Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch)
  • Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku, Databricks.
  • Experience with ML Ops, including model deployment, monitoring, and retraining pipelines.
  • Ability to work cross-functionally with marketing, CRM, and engineering teams.
  • Excellent communication skills
  • Experience in a global or multi-regional context is a plus

Responsibilities

  • Build predictive models to forecast customer behaviour, including purchase patterns, identification of life events and influence on purchase mission to enhance personalized customer experiences across all channels
  • Create sophisticated customer segmentation using behavioural, transactional, and demographic data
  • Collaborate on design of test & learn methods to measure CRM initiatives' effectiveness
  • Monitor performance to ensure models perform as effectively as possible for continuous improvement
  • Communicate algorithmic solutions in a clear, understandable way. Leverage data visualisation techniques and tools to effectively demonstrate patterns, outliers and exceptional conditions in the data
  • Collaborate with CRM and regional marketing teams to align with campaign goals and customer segmentation strategies
  • Partner with engineering and data teams to ensure scalable solutions.
  • Continuously monitor and improve model performance using data insights and feedback

FAQs

What is the main role of the Data Scientist at Ralph Lauren Corporation?

The main role of the Data Scientist is to discover hidden information in customer data, build predictive models to forecast customer behavior, and help make data-driven decisions to enhance customer experiences across various channels.

What qualifications are required for the Data Scientist position?

Candidates should have relevant experience in Customer Marketing Data Science, including applied statistics and machine learning techniques, proficiency in Python, familiarity with cloud platforms such as GCP, AWS, or Azure, and experience with ML Ops.

How crucial is collaboration in this role?

Collaboration is essential as the Data Scientist will work cross-functionally with CRM, marketing, and engineering teams to align campaign goals and customer segmentation strategies.

What tools and technologies should the Data Scientist be familiar with?

The Data Scientist should be proficient in Python and familiar with machine learning libraries such as pandas, numpy, scipy, scikit-learn, tensorflow, and pytorch, as well as tools like Dataiku and Databricks.

Is international or global experience beneficial for this position?

Yes, experience in a global or multi-regional context is considered a plus for this position.

What kind of communication skills is expected from the Data Scientist?

The Data Scientist is expected to have excellent communication skills to effectively articulate algorithmic solutions and demonstrate insights through data visualization techniques.

How does the company foster a culture of inclusion?

Ralph Lauren fosters a culture of inclusion through talent development, education and communication, employee groups, and celebration of diverse voices and perspectives.

What ongoing responsibilities will the Data Scientist have?

Ongoing responsibilities include monitoring model performance, continuously improving models using data insights and feedback, and collaborating with various teams on effectiveness measurement of CRM initiatives.

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Ralph Lauren

“Be anything you want to be. And be many things.” – Ralph Lauren

Fashion & Arts
Industry
10,001+
Employees
1967
Founded Year

Mission & Purpose

Ralph Lauren is a globally renowned fashion brand that epitomises timeless elegance and iconic style. With a rich heritage spanning several decades, Ralph Lauren has become synonymous with luxury and sophistication. The brand offers a wide range of products, including clothing, accessories, fragrances, and home furnishings, all reflecting impeccable craftsmanship and attention to detail. Known for its classic designs and impeccable quality, Ralph Lauren has established itself as a symbol of refined taste and effortless sophistication. With a commitment to delivering exceptional products and exceptional customer experiences, Ralph Lauren continues to inspire and captivate fashion enthusiasts around the world.