United Kingdom Job Openings
NatWest Digital X
Data Scientist
Edinburgh
FULL TIME
October 10, 2024
Data Scientist
Closing date for applications: 12/10/2024
In everything we do, we work to one aim. To make digital experiences which are effortless and secure.
- Playing a key role in advancing applied AI and AI research within the financial services industry, you’ll work within a team of skilled data scientists to tackle complex business challenges using advanced analytics and machine learning techniques
- You’ll be supporting the development, deployment, and maintenance of advanced machine learning models and algorithms, including large language models
- This is an opportunity to make a significant impact with us and establish yourself as a prominent contributor in the field of data science and AI
What you'll do
As a Data Scientist, you'll be responsible for contributing to the development and execution of innovative AI and data science solutions for the bank's most pressing challenges. You'll work within a team of data scientists and engineers, providing technical expertise while collaborating with cross-functional teams and stakeholders to deliver high-impact results.
Your responsibilities will include:
- Supporting the data science community of practice, staying informed in the field of applied AI and AI research
- Communicating effectively with stakeholders, providing insights and recommendations based on your team's projects and findings
- Participating in end-to-end project delivery, from ideation to production deployment, ensuring alignment with business objectives
- Assisting in the identification and implementation of cutting-edge technologies, tools and techniques to deliver value through cost reduction, income generation, or improved customer experience
The skills you'll need
To excel in this role as a Data Scientist, you'll need a solid academic background in a STEM discipline such as Mathematics, Physics, Engineering, or Computer Science, ideally with a MSc or Ph D. You'll also need experience with statistical modelling and machine learning techniques, as well as some knowledge of financial services.
In addition, you'll demonstrate:
- The ability to use data to solve business problems from hypotheses through to resolution
- Expertise in key data science technologies and techniques, such as Python, Git, AWS, AWS Sage Maker, Py Torch, Tensor Flow, JAX, Num Py, scikit-learn, time-series forecasting, classification, regression, large-language models, and experimental design
- Experience of using programming language and software engineering fundamentals
- Experience of exploratory data analysis
- Effective communication skills with the ability to proactively engage with a wide range of stakeholders
Our head office in Edinburgh offers beautiful surroundings as well as a welcoming and friendly environment in which to build your network.
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