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    Data Science Engineer - London, United Kingdom - dunnhumby

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    Description

    Welcome to a world of opportunities at dunnhumby

    We are currently seeking a skilled Data Science Engineer to join our dynamic team. This is an exciting chance to enhance dunnhumby's exceptional science capabilities and collaborate with a leading business in exploring new avenues and impacting global retailers.

    Your Responsibilities:

    • Develop and maintain reusable python packages for innovative data science solutions
    • Create processes and tools to support the research of advanced scientific methods

    What We're Looking For:

    • Proficiency in building analytical python solutions that can be installed with pip/conda
    • Experience with relational databases and SQL operations
    • Knowledge of processing big data, preferably in a Hadoop/Spark environment
    • Familiarity with Continuous Integration/Continuous Delivery (CI/CD) & DevOps processes
    • Understanding of machine learning techniques like regularised regression, clustering, and tree-based ensembles

    What We Offer:

    At dunnhumby, we go above and beyond to exceed your expectations. Get ready for a rewarding benefits package and surprises like flexible working hours and your birthday off. Embrace cutting-edge technology in a global setting mingled with a small-business vibe that encourages innovation and growth.

    Our Commitment to Diversity and Inclusion:

    We breathe diversity and inclusion every day at dunnhumby with supportive networks like dh Gender Equality Network, dh Proud, and more. We empower you to shine by fostering a culture where everyone can thrive. Share your needs with us, and let's make the recruitment process seamless for you. Reach out for a confidential discussion on how we can cater to your requirements.

    Our Flexible Working Approach:

    We respect and value individuality at dunnhumby. Enjoy work-life balance with our flexible options tailored to suit your commitments outside work. We believe in a harmonious work environment and are open to discussing agile working arrangements during the hiring process.


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