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- Tasks: Lead data initiatives and collaborate with teams to drive product success.
- Company: Join Natwest Boxed, a leader in fintech innovation.
- Benefits: Enjoy a dynamic work environment with opportunities for mentorship and growth.
- Why this job: Be at the forefront of fintech, shaping strategies and impacting real-world products.
- Qualifications: Proven leadership, strong SQL and Python skills, and experience with data visualization tools required.
- Other info: This is a 12-month contract role with a focus on continuous learning and innovation.
The predicted salary is between 43200 - 72000 £ per year.
Join us as a Senior Data Scientist at Natwest Boxed. In this role, you will play a critical part in shaping our data-driven strategies and delivering impactful insights for our embedded finance and mobile banking products. This is an exciting opportunity to be at the forefront of fintech innovation, blending hands-on technical expertise with strategic thinking to drive business outcomes. You will collaborate with cross-functional teams, including product managers, engineers, and operations teams, to optimise data processes, uncover actionable insights, and influence product development. You will be a mentor and leader for junior data scientists, and contribute to fostering a culture of continuous learning, innovation, and excellence within a passionate and forward-thinking team. This role is available for a period of 12 months. What you’ll do As a Senior Data Scientist, you will take ownership of key data initiatives that drive the success of our products. Your role will blend hands-on technical work with strategic collaboration across cross-functional teams to deliver impactful results. Some of your key responsibilities will be: Teaming up with stakeholders from product, engineering, finance, marketing or operations to analyse customer behaviour and shape product development strategies. Leveraging SQL and Python to build and optimise data models, automate workflows, and support data transformations. Use these models to create impactful dashboards that deliver actionable insights to stakeholders. Leading the development and deployment of machine learning models to improve decision-making and product personalisation. Exploring and implementing emerging AI technologies to enhance products and business operations. Providing guidance and support to junior team members, cultivating an environment of learning, collaboration, and innovation. The skills you’ll need To excel in this role, you’ll need a combination of leadership experience, technical expertise, and strong communication skills. Specifically, we’re looking for: Proven leadership and mentoring experience , with a track record of supporting team members in a fast-paced, evolving environment where roles and responsibilities grow with the business. Strong proficiency in SQL and Python, with experience in data modelling and familiarity with tools like DBT and GitHub. Hands-on experience with dashboarding and data visualisation tools such as Looker, Tableau, or Power BI. A solid understanding of analytics techniques, including experimentation, statistical inference, and machine learning. Excellent communication skills, with the ability to present complex data insights clearly to both technical and non-technical audiences. #J-18808-Ljbffr
Senior Data Scientist (12 Months) employer: NatWest Group
Contact Detail:
NatWest Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist (12 Months)
✨Tip Number 1
Familiarize yourself with the latest trends in fintech and how data science is shaping this industry. Being able to discuss current innovations and their implications during your interview will show that you're not just technically skilled, but also passionate about the field.
✨Tip Number 2
Highlight your experience in mentoring and leading teams. Prepare specific examples of how you've supported junior data scientists or collaborated with cross-functional teams to drive successful projects, as this aligns closely with the responsibilities of the role.
✨Tip Number 3
Brush up on your SQL and Python skills, especially focusing on data modeling and automation. Be ready to discuss your past projects where you utilized these skills to create impactful data solutions, as this will demonstrate your hands-on technical expertise.
✨Tip Number 4
Prepare to showcase your experience with data visualization tools like Looker, Tableau, or Power BI. Think of specific dashboards you've created that provided actionable insights, as this will illustrate your ability to communicate complex data effectively.
We think you need these skills to ace Senior Data Scientist (12 Months)
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the Senior Data Scientist position. Understand the key responsibilities and required skills, and think about how your experience aligns with these.
Highlight Relevant Experience: In your CV and cover letter, emphasize your leadership experience, technical skills in SQL and Python, and any relevant projects that showcase your ability to mentor others and drive data initiatives.
Showcase Technical Proficiency: Be specific about your experience with data modeling, dashboarding tools, and machine learning. Mention any relevant tools you have used, such as DBT, GitHub, Looker, Tableau, or Power BI.
Communicate Clearly: When writing your application, ensure that you present complex data insights in a clear and concise manner. Tailor your language to be accessible to both technical and non-technical audiences, reflecting the communication skills the company values.
How to prepare for a job interview at NatWest Group
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in SQL and Python. Bring examples of data models you've built or optimized, and be ready to explain how you used these skills to drive business outcomes.
✨Demonstrate Leadership Experience
Highlight your experience in mentoring junior data scientists. Share specific examples of how you've supported team members in a fast-paced environment and contributed to their professional growth.
✨Communicate Clearly
Practice explaining complex data insights in simple terms. You may be asked to present your findings to both technical and non-technical audiences, so clarity is key.
✨Prepare for Collaboration Questions
Expect questions about your experience working with cross-functional teams. Be ready to discuss how you've collaborated with product managers, engineers, and other stakeholders to shape product development strategies.
