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- Tasks: Join a top-tier engineering team as a Data Scientist, tackling exciting greenfield projects.
- Company: Oliver Bernard is a pioneering tech consulting firm in the financial and investment markets.
- Benefits: Enjoy a competitive salary up to £150k and work in a dynamic, tech-focused environment.
- Why this job: Make an impact from day one while collaborating with industry experts on innovative solutions.
- Qualifications: Must have a 2.1 degree from a Russell Group University and strong skills in Python and SQL.
- Other info: This role requires being in the Newcastle office five days a week.
The predicted salary is between 40000 - 100000 £ per year.
A key client of OB, who are a pioneering venture, providing the financial and investment markets with technology consulting services are looking to hire experienced Data Scientists to their best in class engineering team. This is an incredibly exciting time to join a venture backed by two industry leaders in their respective fields, and will come with a great opportunity to work on greenfield projects with the latest technologies in a tech-focused environment.
Culture is a key aspect for this client. They are looking for exceptional talent with the ability to communicate clearly with a variety of stakeholders, the ability to problem solve, as well as being highly motivated with the desire to push themselves to innovate and deal with complex problems and solutions. You can have an impact from day one – our client empowers and trusts our people to leverage their skillsets whilst working on a wide variety of projects alongside exceptionally talented people, often closely correlated to world events and trends.
You will be able to deliver demonstrable business value working hand-in-hand with the customer whilst learning from industry experts on how financial markets and world economies work. You will have the opportunity to take ownership of technical products and projects – my clients' teams actively engage with a wide range of business functions to leverage their knowledge and exposure as you will be working on challenging current systems and processes to achieve common goals through technical excellence and innovation.
Key Skills and Experience:
- Very strong academic background (2.1 minimum from a Russell Group University) in Computer Science or related field and 3 A's at A-Level or equivalent qualifications
- Commercial experience working in Data Science or a related field
- Strong proficiency with Python and SQL
- Knowledge of Azure and Databricks
- Experience working in Financial Services (not essential but a big bonus)
This role is based in Newcastle City Centre with candidates required to be in the office 5-days a week and the successful candidate can expect a salary of £50k-£150k depending on your skills and experience. To be considered you must be UK based as sponsorship is sadly unavailable.
Data Scientist - Up to £150k employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Up to £150k
✨Tip Number 1
Familiarise yourself with the latest technologies mentioned in the job description, such as Python, SQL, Azure, and Databricks. Being able to discuss these tools confidently during your interview will show that you're proactive and well-prepared.
✨Tip Number 2
Highlight any experience you have in financial services, even if it's not essential. This can set you apart from other candidates and demonstrate your understanding of the industry, which is a big plus for this role.
✨Tip Number 3
Prepare to showcase your problem-solving skills through examples from your past experiences. The ability to communicate complex ideas clearly to various stakeholders is crucial, so practice articulating your thought process.
✨Tip Number 4
Research the company culture and values of the client. Understanding their focus on innovation and teamwork will help you align your answers during the interview, showing that you’re a good fit for their environment.
We think you need these skills to ace Data Scientist - Up to £150k
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your academic achievements, particularly your 2.1 from a Russell Group University, and emphasises your experience with Python, SQL, Azure, and Databricks. Use specific examples to demonstrate your skills in data science.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your understanding of the financial services sector. Mention how your skills align with the company's needs and express your enthusiasm for working on greenfield projects.
Highlight Communication Skills: Since the role requires clear communication with various stakeholders, include examples in your application that demonstrate your ability to convey complex information effectively. This could be through previous projects or teamwork experiences.
Showcase Problem-Solving Abilities: In your application, provide instances where you've successfully tackled complex problems. This could involve technical challenges or innovative solutions you've implemented in past roles, which will resonate well with the company's focus on innovation.
How to prepare for a job interview at Oliver Bernard
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python and SQL during the interview. Be prepared to discuss specific projects where you've used these skills, especially in a data science context.
✨Demonstrate Problem-Solving Abilities
Prepare examples of complex problems you've solved in previous roles. This will showcase your analytical thinking and ability to tackle challenges, which is crucial for a Data Scientist.
✨Understand the Financial Services Sector
Even if you don't have direct experience in financial services, it's beneficial to familiarise yourself with key concepts and trends in the industry. This knowledge can help you relate your technical skills to the business context.
✨Communicate Clearly and Effectively
Since the role involves working with various stakeholders, practice articulating your thoughts clearly. Use simple language to explain complex technical concepts, demonstrating your ability to bridge the gap between tech and business.
