At a Glance
- Tasks: Lead data analysis projects to solve complex problems and improve business processes.
- Company: Join a forward-thinking bank focused on data-driven strategies.
- Benefits: Flexible work options, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career development.
- Why this job: Make a real impact in the financial sector using advanced data science techniques.
- Qualifications: Degree in a quantitative field or equivalent experience in data analysis.
The predicted salary is between 70000 - 90000 £ per year.
Join us as a Principal Data Scientist. You’ll be identifying and working with data sets to solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. We’ll look to you to act as a role model and lead the data community to identify and deliver opportunities to support the bank’s strategic direction through better use of data. This is an opportunity to achieve excellent exposure in a challenging role and to make a real impact with your work. You’ll work from home some of the time, but you’ll also spend a minimum of two days per week working from the office.
What you'll do
- As a Principal Data Scientist, you’ll be evaluating and improving business processes and products using scientific rigour and statistical methods.
- You’ll be supporting and collaborating with multidisciplinary teams on a wide range of business problems, including the prevention of financial crime, understanding customer interactions with the bank and the management of credit risk.
- Developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development.
- Communicating effectively across the functions and franchises to make business recommendations, influencing and gaining business buy-in.
- Conducting analysis that includes data gathering and requirements specification in collaboration with business stakeholders.
- Iteratively building and prototyping data analysis pipelines to provide insights that will ultimately lead to production deployment.
- Identifying new methods, tools, techniques and opportunities to deliver business value via cost reduction, income generation or improved customer experience through the application of data science.
The skills you'll need
- Evidence of previous project implementation and work experience gained in data analysis related field as part of a multidisciplinary team.
- A degree in a quantitative discipline or evidence of equivalent practical experience.
- Strong understanding of fraud and financial crime systems, including transaction monitoring, onboarding/KYC processes, and real-time risk decisioning, with the ability to apply this knowledge to analytical and machine learning solutions.
- Experience with statistical software, database languages, big data technologies and cloud environments.
- Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data.
- The ability to demonstrate leadership, self-direction and a willingness to both teach others and learn new techniques.
- Effective written and verbal communication skills and the ability to adapt the communication style to a specific audience.
- Extensive relevant work experience, including expertise with statistical data analysis such as linear models, multivariate analysis, stochastic models and sampling methods.
Principal Data Scientist in Rotherham employer: NatWest Group
Coutts & Co is an exceptional employer, offering a unique opportunity to join a leading Private Banking and Wealth Management firm during a pivotal growth phase. With a collaborative work culture that prioritises professional development, employees are encouraged to influence strategic decisions while receiving support from senior leaders. The role of Managing Legal Counsel not only provides a platform for impactful legal work but also fosters an environment where innovation and efficiency are valued, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Scientist in Rotherham
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like NatWest Group!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Principal Data Scientist at NatWest Group.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like NatWest Group.
✨Apply Directly through Our Website
When you find a suitable opening like Principal Data Scientist at NatWest Group, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Principal Data Scientist in Rotherham
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at NatWest Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at NatWest Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at NatWest Group
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at NatWest Group!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
