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- Tasks: Develop and deploy machine learning models to analyse customer behaviour.
- Company: Leading financial services provider with a focus on innovation.
- Benefits: Flexible working options, competitive salary, and commitment to employee satisfaction.
- Why this job: Join a dynamic team to solve complex business problems and make data-driven decisions.
- Qualifications: Bachelor's degree and proficiency in SAS required.
- Other info: Hybrid role with opportunities for professional growth.
The predicted salary is between 30000 - 42000 £ per year.
A leading financial services provider is seeking a Data Scientist in Swindon to develop and deploy machine learning models, analyze customer behavior, and support data-driven decisions.
The role emphasizes collaboration with teams to solve complex business problems and requires a bachelor's degree and proficiency in SAS.
Flexible working options are available, reflecting the company's commitment to employee satisfaction while ensuring high-quality service delivery.
Data Scientist - Real-Time Marketing Analytics (Hybrid) in Swindon employer: Nationwide
Contact Detail:
Nationwide Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Real-Time Marketing Analytics (Hybrid) in Swindon
✨Tip Number 1
Network like a pro! Reach out to current employees or alumni from your university who work in the financial services sector. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your machine learning projects and data analysis work. This will help us demonstrate our expertise and make a lasting impression during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for data scientists, especially those related to SAS and real-time analytics. We can even do mock interviews with friends to boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our CV and cover letter to highlight how our skills align with the job description.
We think you need these skills to ace Data Scientist - Real-Time Marketing Analytics (Hybrid) in Swindon
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning models and customer behaviour analysis. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Scientist position and how your background in SAS can help us tackle complex business problems together.
Showcase Collaboration Skills: Since this role involves working closely with teams, mention any past experiences where you collaborated effectively. We love seeing how you can contribute to a team environment while driving data-driven decisions.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates during the process!
How to prepare for a job interview at Nationwide
✨Know Your Data Science Stuff
Make sure you brush up on your machine learning models and SAS skills. Be ready to discuss specific projects where you've applied these techniques, as this will show your practical experience and understanding of the role.
✨Understand Customer Behaviour
Since the job focuses on analysing customer behaviour, do some research on common trends in financial services. Prepare examples of how data analysis can drive marketing strategies and improve customer engagement.
✨Collaboration is Key
This role emphasises teamwork, so think about times when you've successfully collaborated with others. Be prepared to share how you approach problem-solving in a team setting and how you communicate complex data insights to non-technical colleagues.
✨Flexibility and Adaptability
With flexible working options, it’s important to demonstrate your adaptability. Share experiences where you've thrived in changing environments or managed multiple priorities, showing that you can maintain high-quality service delivery regardless of the circumstances.
