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Data Science Manager
3 months ago
We are seeking an experienced Data Science Manager to join our team of data scientists and machine learning engineers. In this role, you will have the opportunity to drive data science initiatives and oversee the development of in-house machine learning models and capabilities across Pandora's entire value chain. You will be a strong voice within Pandora, advocating for best software and engineering practices, and ensuring the delivery of robust machine learning products that meet the highest standards.
Your key accountabilities will be to:
Collaborate with cross-functional teams (product management, engineering, data platform, etc.) to align data science efforts with product strategies and business goals. Oversee the operational efficiency and functioning of AI products, ensuring seamless integration and feedback loops within the data ecosystem. Identify potential risks and challenges specific to AI projects and proactively devise strategies to mitigate them effectively. Oversee end-to-end delivery of AI products and services, ensuring adherence to best practices in data management, compliance, legal, solution design, software engineering and cybersecurity. Responsible for cost monitoring, infrastructure health management, and optimization specific to AI related resources. Drive continuous improvement in data science methodologies, processes, and tools, emphasizing efficiency, productivity, and quality. Advocate for and drive implementation of MLOPs principles tailored for DS/ML, emphasizing automation, reliability, and quality assurance in data-driven product deliveries. Mentor and coach team members, offering guidance on best practices, career development, and technical challenges. Provide strong leadership and direction, setting clear goals and expectations for team members. What is needed to succeed:
Academic degree in Statistics, Mathematics, Computer Science or equivalent. Minimum 1 years of experience as a Data Science or Machine Learning Manager. Expertise in Python and Spark. Exposure to deep learning approaches and modeling frameworks (e.g., PyTorch, TensorFlow, Keras). Experience developing with containerization (e.g., Docker) and orchestration Kubernetes in cloud computing environments. Expertise in cloud platforms such as AWS, GCP, and Azure. Proficiency in software development practices applied to AI. Strong stakeholder management skills to navigate and align diverse perspectives while prioritizing product backlogs. Experience leading and coaching data science/machine learning teams. Excellent understanding of Data Science fundamentals, Data Science Lifecycle and MLOps best practices. Experience with Databricks Proficiency in both written and oral English. Did we get your attention?
We hope you got all your questions answered and feel confident applying for this position, however if you have more questions regarding the position, please contact:
Joe McBrien, TA Specialist, Global Office
If you see yourself in the position and would like to become a part of Pandora's future, please do not hesitate to apply. We look forward to hearing from you
We process applications on a continuous basis, which is why we encourage you to send your application as soon as possible. You can also read more about Pandora on our corporate site
About Pandora
Established in 1982, Pandora designs, manufactures and markets hand-finished jewellery made from high-quality materials at affordable prices. Pandora's products are available in more than 100 countries on six continents through more than 6,500 points of sale, including around 2,500 concept stores.
Headquartered in Copenhagen, Denmark, Pandora employs 32,000 people worldwide and crafts its jewellery at two LEED certified facilities in Thailand, using mainly recycled silver and gold. The company plans to be carbon neutral by 2025 and has joined the Science Based Targets initiative to reduce emissions across its full value chain. Pandora is listed on the Nasdaq Copenhagen stock exchange and generated a revenue of DKK 28.1 billion in 2023.
At Pandora, we believe that creating an inclusive and diverse workplace and reflecting societal diversity in our customer engagement is essential to delivering on our company purpose: to give a voice to people's loves. We dedicate ourselves to fostering, cultivating and preserving a culture of inclusion and diversity where everyone feels respected and valued.
What can we offer you?
You will be joining the team at our brand-new London Digital Hub, which is located a stone's throw from London's iconic Oxford Street, at the heart of the city. The London Hub is growing at a faster pace than ever, and your role will be part of the first waves of new, exciting talents we are introducing to the team. At the London Hub, we like to keep things flexible - this hybrid role is an example of that, with two days working from the office and three days working from home, so you can choose what works for you.
Our commitment to unforgettable career progression is just the start. We offer a competitive rewards package that is second to none.
Our generous benefits package includes:
A highly competitive salary with regular salary reviews Generous bonus scheme Private healthcare Choice of lunch on us, delivered to you whenever you are in the office Early finish Fridays (weekends with Pandora start every Friday at 3pm) 55% employee discount 25 days annual leave (plus bank holidays) Buy/sell holiday options Celebrate your birthday with a day off to celebrate Pandora Perks: access our exclusive online platform provided by Reward Gateway, where you'll have access to: Discounts on retail brands, cinema tickets, holidays, gym memberships and more Wellness Hub: videos to help you lead a healthy lifestyle Employee Assistance Programme: a completely confidential, free, counselling phone line open 24/7, all year round Recognition programme: celebrate and share achievements with the wider business At Pandora we love a party Especially at Christmas, when you will receive an extra special gift If you are looking for a new challenge, come and craft the incredible with us
