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Data science specialist

London
Pontoon Solutions
Science specialist
Posted: 20h ago
Offer description

Join Our Client as a Data Scientist!

Location: Hybrid

Contract Type: Fixed Term Contract (6 Months) with Possible extension


Are you a data enthusiast with a flair for turning complex data into actionable insights? Do you want to make a tangible impact in the retail industry? If so, we have the perfect opportunity for you! Our client, a leading organization in the retail sector, is on the lookout for a talented Data Scientist to join their dynamic team.


About the Team:

* At our client’s organization, the Data Science team is at the forefront of innovation.
* They tackle some of the most complex business challenges across various domains, including customer experience, supply chain, marketing, and technology.
* By applying advanced machine learning techniques, generative AI, and large language models, they enhance pricing strategies, optimize store operations, and personalize customer interactions.
* This is a collaborative environment where team members rotate across different domains, expanding their skills and impact.


As a Data Scientist, you will:


* Develop and deploy machine learning solutions that enhance decision-making and improve customer service.
* Design and implement robust models while experimenting with new approaches.. This includes building data pipelines and models, evaluating model performance both statistically and in terms of business impact, and scaling solutions into production.
* Translate business problems into effective data science solutions, including building data pipelines and evaluating model performance.
* Collaborate with Machine Learning Engineers and Software Engineers to ensure efficient, maintainable solutions that align with organizational technology standards.
* Communicate complex ideas clearly to non-technical stakeholders, contributing to knowledge sharing within the organization and representing them in the external data science community.


What You’ll Need:


* A solid foundation in machine learning, statistics, and programming.
* Intellectual curiosity and critical thinking skills, with a scientific mindset focused on achieving business impact.
* The ability to translate challenging business problems into clear data science solutions.
* Extensive experience in designing and implementing models using Python, particularly in large-scale distributed computing environments.
* Strong coding practices, including version control and testing.
* A proactive approach to learning new methods and contributing to a culture of collaboration.
* A higher degree in a quantitative discipline (e.g., Mathematics, Computer Science, Engineering, or Physics) is preferred, though equivalent experience is also valued.
* Hands-on experience with advanced machine learning libraries.


Why Join Us?


* Impactful Work: Your contributions will directly influence business decisions and customer experiences.
* Dynamic Environment: Enjoy a culture of innovation and continuous learning.
* Collaborative Team: Work alongside passionate professionals who are eager to share knowledge and support one another.
* Career Growth: Gain exposure across various domains and expand your expertise.


If you’re ready to take on this exciting challenge and make a difference in the retail industry, we’d love to hear from you! Apply now and become a part of our client’s journey toward data-driven excellence!


Our client is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.


Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone’s chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.

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