Full-Time

Research Data Scientist

Posted on 11/20/2024

dunnhumby

dunnhumby

1,001-5,000 employees

Customer data analytics for retail marketing

Data & Analytics
Consulting
Venture Capital
Consumer Goods

Mid

London, UK

Category
Data Science
Data & Analytics
Required Skills
Python
Apache Spark
SQL
Pandas
Hadoop
Data Analysis
Requirements
  • Master’s degree or equivalent in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Statistics, Physics, Engineering, Biology or related field. A PhD in any of these fields is especially beneficial
  • Experience with machine learning techniques such as regularised regression, clustering or tree-based ensembles, and the ability to implement them through libraries.
  • Experience with programming, ideally Python, and the ability to quickly pick up handling large data volumes with modern data processing tools, e.g. by using Hadoop / Spark / SQL
  • Experience with or ability to quickly learn open-source software including machine learning packages, such as Pandas, scikit-learn, along with data visualisation technologies.
  • Experience in retail sector would be an added advantage
  • PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Statistics, Physics, Engineering, Biology or related field.
  • Experience in retail sector.
Responsibilities
  • apply machine learning and statistical techniques to business problems
  • contribute to the research and implementation of new approaches to address complex problems
  • perform data analysis and model validation
  • present results to a variety of internal stakeholders
  • apply techniques and algorithms to create dunnhumby science solutions that can be delivered across clients and engineered into science modules
  • ensure the right product is in the hands of the customer
  • identify new and growing needs
  • optimise the mix of products
  • predict the impact of changes
  • maximise the in-store experience

dunnhumby specializes in Customer Data Science, focusing on enhancing customer experiences for retailers and brands through data analysis. The company uses advanced analytics to interpret customer behavior, preferences, and trends, which allows clients to implement targeted marketing campaigns. Instead of storing personal data, dunnhumby analyzes data using unique identifiers from browsers and devices to derive insights. What sets dunnhumby apart from its competitors is its comprehensive suite of services, including media solutions and personalized marketing strategies, which are designed to improve customer engagement and drive sales. Additionally, dunnhumby Ventures invests in early-stage retail technology startups, ensuring the company remains at the forefront of retail innovation. The primary goal of dunnhumby is to empower retailers and brands to create better customer experiences through actionable insights and tailored marketing efforts.

Company Stage

Acquired

Total Funding

N/A

Headquarters

London, United Kingdom

Founded

1989

Growth & Insights
Headcount

6 month growth

4%

1 year growth

4%

2 year growth

4%
Simplify Jobs

Simplify's Take

What believers are saying

  • dunnhumby's continuous innovation, evidenced by new AI tools and solutions, positions it as a leader in retail analytics and customer data science.
  • The company's venture fund, dunnhumby Ventures, provides opportunities for growth and staying at the forefront of retail technology.
  • Recognition by Gartner in multiple Hype Cycles underscores dunnhumby's industry leadership and credibility.

What critics are saying

  • The competitive landscape in retail analytics and customer data science is intense, requiring constant innovation to maintain a leading position.
  • Dependence on strategic partnerships, such as with Placer.ai, could pose risks if these partnerships face challenges or dissolve.

What makes dunnhumby unique

  • dunnhumby's focus on Customer Data Science and advanced data analytics sets it apart from competitors who may not offer the same depth of customer insights.
  • The company's unique AI-powered tools, such as the Competitive Threat Evaluator and Assortment Tool, provide actionable insights that are not commonly available in the market.
  • Strategic partnerships, like the one with Placer.ai, enhance dunnhumby's ability to offer comprehensive online/offline customer journey insights, giving it a competitive edge.

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