Dunnhumby Off Campus Drive 2025: Hiring Research Data Scientist

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About Dunnhumby

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. With deep heritage and expertise in retail — one of the world’s most competitive markets, with a deluge of multi-dimensional data — dunnhumby today enables businesses all over the world, across industries, to be Customer First.

The dunnhumby Customer Science Platform is our unique mix of technology, software and consulting enabling businesses to increase revenue and profits by delivering exceptional experiences for their Customers – in-store, offline and online. dunnhumby employs over 2,000 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Meijer, Procter & Gamble, Raley’s and L’Oreal.

Dunnhumby Recruitment

Job Role: Research Data Scientist

Qualification: Bachelors / Masters Degree

Experience: 0-5 years

Batch: 2025 / 2024 / 2023 / 2022

Salary: up to ₹10 LPA

Job Location: Gurgaon

Last Date: ASAP

Job Notification Join us on Telegram: Click here

We’re looking for a talented Research Data Scientist who expects more from their career  

You will be at the forefront of dunnhumby’s research data science team where you will be translating a complex business problem into a data science problem and solving that with scalable and state-of-the art AI algorithms. Joining our research data science team, you will be helping identify new opportunities within the Data Science space for future dunnhumby solutions. Learn from experts and grow your career in our organisation 

What we expect from you 

Degree or equivalent in a statistical or mathematical subject.

  • 2-5 Years of experience in Data Science  
  • Good understanding of statistics and mathematical methodologies used – especially forecasting, regression, linear models, time series, hypothesis tests and optimisation  
  • Ability to prototype solutions using Python and Spark to facilitate development and testing of algorithms on large data sets 
  • Good understanding of machine learning techniques, with applications to classification, prediction and clustering 
  • Ability to apply and extend experimental design methodology to conduct rigorous measurement of treatment effects 
  • Good working knowledge of databases, including SQL, relational and non-relational data models 
  • Experience of using following algorithm at scale: Ancova, linear models with regularization, clustering, random forests, xgboost  
  • Research the latest machine learning approaches 
  • Good grasp of Object-Oriented Programming 
  • Ability to quickly learn open-source statistics and machine learning packages – Pandas, SciPy, Scikit – learning, Tensor flow. 

What you can expect from us

We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect.  Plus, thoughtful perks, like flexible working hours and your birthday off.

You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn.

And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One and dh Thrive as the living proof.  We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. For an informal and confidential chat please contact stephanie.winson@dunnhumby.com to discuss how we can meet your needs. 

How to Apply For AppSierra In 2025?

Dreaming of a Dunnhumby career. Follow these simple steps to apply for their 2025 opportunities:

  • Click Apply Here: Head straight to the Dunnhumby career page using the button below.
  • Start Your Application: Hit Apply to begin.
  • Register or Login: Create an account if youre new, or login if youre already registered.
  • Complete the Form: Fill in all required details accurately.
  • Upload Documents: Submit your resume and any other requested documents.
  • Review and Verify: Doublecheck all information before submitting.
  • Submit: Hit submit and take a step closer to your dream career.

Apply Link For Dunnhumby Apply Here

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