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For Companies At a Glance
- Tasks: As a Data Scientist, you'll create data-driven solutions and present insights through compelling visualisations.
- Company: Join one of the UK's largest building societies, dedicated to improving lives and fostering community.
- Benefits: Enjoy 28 days holiday, a bonus scheme, pension contributions, and life assurance.
- Why this job: Be part of a recognised Great Place to Work with a culture of support, diversity, and flexibility.
- Qualifications: Strong stats knowledge, Python coding skills, and experience with SQL or Pyspark are essential.
- Other info: Flexible working options available; we celebrate diversity and support disabled applicants.
The predicted salary is between 36000 - 60000 £ per year.
About The Role
We are recruiting for a Data Scientist responsible for delivering sophisticated data science solutions while ensuring adherence to governance standards, policies, and regulatory guidelines.
Working closely with business functions to understand their challenges and opportunities, the Data Scientist will apply their curiosity and enthusiasm for data to create solutions supporting member outcomes and the Society\’s strategic plan.
The successful candidate will be recognized as an expert in Data Science, utilizing their knowledge to prepare, model, and engineer data, develop sophisticated models, and present progress and results using compelling data visualizations and storytelling techniques.
Our Benefits Include
- 28 days holiday a year plus bank holidays and a holiday buy/sell scheme
- Annual discretionary bonus scheme
- Personal pension with matched contributions
- Life assurance (6 times annual salary)
About You
To succeed in this role, you should have:
- A strong understanding of statistical concepts such as probability theory, regression, or Bayesian statistics
- Experience in writing functional Python programming code
- Experience with Data Wrangling using SQL or Pyspark
- Confidence in exploring data suitability before building machine learning or statistical models
- Experience with statistics and machine learning techniques such as GBM, Random Forests, Ensemble models
- Excellent communication and presentation skills, with the ability to convey complex ideas clearly and simply
Desirable Experience
- Experience or knowledge of the financial services sector
About Us
We are one of the largest building societies in the UK, committed to improving the lives of others. Recognized as a Great Place to Work, we offer a culture of reward, recognition, and wellbeing support.
Following the integration of The Co-operative Bank into our Group, we share values and an ethical approach towards members, customers, and colleagues.
We are committed to equality and celebrate diversity, believing that working together fosters more than just careers — it builds community.
Flexibility and Why It Matters
We offer flexible working arrangements where possible. Please discuss potential options with us before applying.
Proud to be a Disability Confident Committed Employer
We offer interviews or assessments to every disabled applicant meeting the minimum criteria. Applicants can opt into the Disability Confident Interview Scheme by contacting our recruitment team at Coventry Building Society.
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Data Scientist employer: Rita Blue
Contact Detail:
Rita Blue Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarise yourself with the specific statistical concepts mentioned in the job description, such as probability theory and regression. Being able to discuss these topics confidently during your interview will demonstrate your expertise and understanding of the role.
✨Tip Number 2
Brush up on your Python programming skills, especially focusing on functional coding. Consider working on small projects or contributing to open-source initiatives that showcase your ability to write clean and efficient code.
✨Tip Number 3
Gain hands-on experience with data wrangling using SQL or Pyspark. You could create a portfolio of projects where you manipulate and analyse datasets, which can be a great talking point during interviews.
✨Tip Number 4
Prepare to present your findings using data visualisation techniques. Practice explaining complex data insights in simple terms, as strong communication skills are crucial for this role. Consider creating a few sample presentations to refine your storytelling abilities.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the key responsibilities and required skills for the Data Scientist position. Tailor your application to highlight how your experience aligns with their needs.
Showcase Your Skills: In your CV and cover letter, emphasise your expertise in statistical concepts, Python programming, and data wrangling. Provide specific examples of projects where you've successfully applied these skills.
Communicate Clearly: Demonstrate your excellent communication skills by presenting complex ideas simply in your application. Use clear language and avoid jargon to ensure your points are easily understood.
Highlight Relevant Experience: If you have experience in the financial services sector or knowledge of it, make sure to mention this in your application. Relate your past work to the challenges and opportunities mentioned in the job description.
How to prepare for a job interview at Rita Blue
✨Showcase Your Statistical Knowledge
Be prepared to discuss statistical concepts like probability theory and regression. You might be asked to explain how you would apply these concepts in real-world scenarios, so think of examples from your past experiences.
✨Demonstrate Your Coding Skills
Since experience in Python is crucial, brush up on your coding skills. Be ready to solve a coding challenge or explain your previous projects involving Python, SQL, or Pyspark during the interview.
✨Prepare for Data Wrangling Questions
Expect questions about data wrangling techniques. Have specific examples ready that demonstrate your ability to clean and prepare data for analysis, as this is a key part of the role.
✨Communicate Clearly and Effectively
Your ability to convey complex ideas simply is vital. Practice explaining your past projects and findings in a way that anyone can understand, using storytelling techniques to engage your audience.
