dunnhumby

Senior Data Science Engineer

Gurgaon, India
Keras GCP Azure Spark Deep Learning Python R TensorFlow PyTorch MySQL MongoDB AWS Hadoop Machine Learning SQL
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. 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.

 

dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Meijer, Procter & Gamble and Metro.

We are looking for an experienced AI and Generative AI Specialist to join our team. We need someone who has a strong background in machine learning (ML), deep learning, and AI technologies, with hands-on experience in developing and deploying AI solutions. As a key member of our team, you will be responsible for solving complex real-world problems using advanced statistical modeling, ML algorithms, and cutting-edge AI techniques.

What are we looking for :
Degree in Statistics, Mathematics, Physics, Economics, Computer Science, or a similar field.
Minimum of 5 years of professional experience in AI, machine learning, or data science, with a strong portfolio of successful projects.
Proficiency in Python, Pyspark, SQL, and other data-centric programming languages (e.g., R).
Hands-on experience with TensorFlow, Keras, PyTorch, Scikit-learn, and other AI/ML libraries.
In-depth understanding of supervised and unsupervised learning, deep learning, reinforcement learning, and generative models (GANs, VAEs, etc.).
Experience in statistical modeling, data preprocessing, feature engineering, and data visualization.
Familiarity with cloud platforms (AWS, GCP, Azure) and cloud-based ML services (e.g., AWS SageMaker, Azure Machine Learning).
Experience with big data technologies (Hadoop, Spark), relational and NoSQL databases (MySQL, MongoDB), and data warehousing solutions (Redshift).

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. 

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.

We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.

For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)

dunnhumby
dunnhumby
Agriculture Farming Non Profit Advertising Analytics Big Data Database Social Media

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