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Research Data Scientist

ENGINEERINGUK

London

On-site

GBP 80,000 - 100,000

30+ days ago

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Job summary

Join a forward-thinking company as a data scientist, where you will leverage your expertise in machine learning and statistical techniques to tackle complex business problems. This role offers the chance to work with passionate professionals, utilizing cutting-edge technology to drive impactful results. You will be at the forefront of data-driven decision-making, presenting your findings to key stakeholders and contributing to innovative solutions that empower businesses to thrive. If you are eager to make a difference in a dynamic environment that values diversity and inclusion, this opportunity is perfect for you.

Benefits

Comprehensive rewards package

Flexible working options

Investment in cutting-edge technology

Diversity and inclusion initiatives

Qualifications

  • Master's degree in Computer Science or related field required.
  • Experience with machine learning techniques and Python programming.

Responsibilities

  • Apply machine learning and statistical techniques to business problems.
  • Contribute to research and implementation of new approaches.

Skills

Machine Learning Techniques

Python Programming

Data Processing Tools (Hadoop/Spark/SQL)

Data Visualization Technologies

Statistical Techniques

Education

Master's Degree in Computer Science or related field

PhD in relevant field

Tools

Pandas

scikit-learn

Job description

dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First.

Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers.

Joining our team, you'll work with world-class and passionate people to apply machine learning and statistical techniques to business problems. You'll contribute to the research and implementation of new approaches to address complex problems and perform data analysis and model validation. You'll have the opportunity to present results to a variety of internal stakeholders.

What we expect from you

  • 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.

A plus if you also have:

  • PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Statistics, Physics, Engineering, Biology or related field.
  • Experience in retail sector.

What you can expect from us

We won't just meet your expectations. We'll defy them. You'll enjoy the comprehensive rewards package you'd expect from a leading technology company, along with a degree of personal flexibility, thoughtful perks, and an investment in cutting-edge technology.

We don't just talk about diversity and inclusion. We live it every day with thriving networks that provide opportunities for everyone to shine and perform at their best throughout our recruitment process.

Our approach to Flexible Working

At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.

Diversity and Inclusion

We are really proud of our diversity and inclusion strategy as it demonstrates clearly our commitment to embedding real change.

Our Values

  • Passion
  • Courage

Our values drive us each day and together they create our unique culture, which we think makes us a great place to work.

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