The Requirements Join us in London as a Data Engineer
What you'll do
- We're looking for Data Engineer (or Data Scientist with excellent SQL/Spark skills) to join our Data & Innovation team with our Data function, and work on a series of innovative and transformative machine learning experiments
- You'll be developing cutting-edge innovative data products, and applying data science techniques for innovative solutions to improve our customer experience and value exchange
- This is a chance to hone your expert programming and data engineering/science skills in a fast paced and innovative environment
In this role, you'll identify and work with large, complex data sets from across the banks data estate to solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. You'll conduct analysis that includes data gathering and requirements specification in collaboration with business stakeholders, and also define data engineering project deliverables.
Day to day, you'll:
The skills you'll need
- Work with a team of data sceientist and engineers to extract and build datasets for data science projects/experiments
- Iteratively build and prototype data analysis pipelines to provide insights at scale that will ultimately lead to production deployment
- Develop comprehensive knowledge of RBS data structures and metrics, advocating for changes where needed for product development
- Interact across RBS functions to make business recommendations, including cost-benefit, forecasting, and experiment analysis
- Present findings to stakeholders at all levels of seniority, using experimentally verified quantitative information
- Actively participate in the data engineering community to identify and deliver opportunities to support the bank's strategic direction through better use of data
- Identify new methods, tools, techniques and opportunities to deliver value through data engineering and science
- Educate and embed new data techniques into the business through role modelling, training and experiment design oversight
- Manage day to day activities within risk appetite
- Display risk practices and behaviours consistent with a risk culture where risk is simply part of the way we work and think
To succeed in this role, you'll hold a Masters degree - or equivalent - in a quantitative discipline. You'll have in depth experience of working with data scientists, ETL techniques, including data modelling and the pragmatic implementation of production data pipelines with structured data.
We'll also look to you to bring:
How we'll reward you
- Experience with statistical software - R, Python, MATLAB, pandas - database languages such as SQL, big data technologies Hadoop and Spark, and cloud environments
- Data quality and assurance techniques
- Modern code development practices, including git, and CI:CD
- Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data
- Demonstrated leadership and self-direction
- A willingness to teach others and learn new techniques
- Effective written and verbal communication skills
- Applied experience supporting data scientists with machine learning on large datasets
- Applied experience in deploying machine learning models into a production environment
- Demonstrated skills in selecting the right statistical tools given a data analysis problem
In return, we offer a competitive salary and you'll also join our retirement savings plan. You can also choose from a selection of protection, healthcare or lifestyle extras from RBSelect, our fully flexible reward programme.
Visit our reward and benefits page for more information on the benefit packages we offer. Inclusion
At RBS, we want everyone to feel welcome, regardless of your background or needs. If you need adjustments making to your working environment, we'll do everything we can to support you. As part of this commitment, we offer flexible working options for some of our roles - find out more .
As a Financial Services organisation we comply with and support the requirements set by our Regulator, the Financial Conduct Authority (FCA), which are designed to protect our customers. This role falls under Conduct Rules of the Individual Accountability Regime (IAR) and is subject to pre-employment screening. This means if your application is successful, you'll need to satisfy some important background checks before you can start working with us. These will include a full credit check, a criminal record check, residency and right to work checks.