Data Science Engineer

About the Role

We're looking for a Data Science Engineer to work on the NextGen connectivity platform across platforms. This is an outstanding opportunity to help build an ambitious future for our flagship product.

We’re seeking curious thinkers looking to co-author the next chapters of our story. Joining now means helping shape our vision, structures, and systems; playing a key-role as we launch into our ambitious future.

What You'll Do:

• Lead Data Science Initiatives: Guide a high-performing data science team in creating scalable and impactful data solutions for product development. Drive the design and implementation of analytics frameworks that include predictive and prescriptive modelling, with an emphasis on data quality and security.

• Data Strategy & Integration: Identify high-impact datasets and embed insights, such as anomaly detection and knowledge graphs, directly into products. Collaborate with engineering to integrate these insights seamlessly, enhancing product functionality and responsiveness.

• Advanced Modelling to Build Products: Develop models that address complex product requirements, including forecasting, classification, and prescriptive modelling. Use machine learning, optimisation, and neural networks to create products that proactively adapt to changing needs and deliver robust user experiences.

• Model Deployment & Adaptability: Ensure models are production-ready, scalable, and adaptable to real-world product demands. Partner with engineering to deploy and continuously refine these models, keeping them aligned with evolving requirements.

• Quality Assurance & Data Governance: Implement rigorous validation and data quality standards to ensure consistency and reliability across products. Maintain data governance practices that support secure, compliant usage.

• Documentation & Knowledge Transfer: Develop and maintain comprehensive documentation of data workflows, model design, and deployment processes. Facilitate knowledge sharing to support both technical and non-technical teams.

• Mentorship & Team Development: Mentor junior data science team members in advanced analytics and modelling techniques, fostering best practices and collaborative problem-solving.

What You'll Need:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Operations Research, or a related field.
• Minimum of 5 years of experience in data science, focusing on product-driven solutions, including forecasting, classification, and optimization.
• Proficiency in machine learning and optimization modeling, with a strong understanding of analytics tools (Python, SQL) and experience with neural networks, transformers, and knowledge graphs.
• Experience in generative AI using LLMs, with a proven ability to integrate these technologies into data-driven products.
• Strong analytical and problem-solving skills, with the ability to structure data-driven solutions to complex product challenges.
• Excellent communication skills, adept at simplifying technical concepts for diverse stakeholders and fostering cross-functional collaboration.
• Proven leadership skills with the ability to mentor and guide junior team members.
• Commitment to continuous learning, staying current with advances in data science and machine learning.
• Collaborative mindset, contributing positively to cross-functional efforts.