Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join a dynamic team to develop and deploy innovative data science solutions.
- Company: A leading consultancy in Bristol, delivering high-quality tech solutions across various sectors.
- Benefits: Enjoy 33 days of holiday, a competitive pension, and flexible working arrangements.
- Why this job: Be part of a vibrant culture that values innovation and client relationships.
- Qualifications: Degree in Computer Science, Data Science, or related fields; skills in Python and Machine Learning required.
- Other info: Refer a friend and earn £1,000 in retail vouchers if they get hired!
The predicted salary is between 36000 - 52000 £ per year.
A data-focused consultancy has a brand new role for an experienced Data Scientist to join their team. The role is being offered on a permanent basis from their central Bristol office, and with a flexible working pattern. This elite company are experts in providing technological solutions to their impressive customer base. You will be joining a company that truly value the work that they do: delivering bespoke and high quality solutions.
You will be tasked to work alongside clients to establish their data science requirements, and then lead on the development and deployment of these solutions.
The company works in multiple sectors to deliver high-quality solutions that allow their clients to reach their performance goals. They work alongside the newest technology and have an innovative and focused mindset.
As a new employee you will receive 33 days annual leave, a competitive pension, and flexible working. You will be working alongside an enthusiastic team of data professionals in a vibrant and exciting organization.
The ideal candidate will be keen to continue developing and building successful client relationships by taking the time to understand their pain points. Therefore we require someone with a problem-solving and proactive mindset.
- Design and implement data science solutions
- Lead client relationships
- Apply data science, simulation and ML techniques to design and develop solutions
- Provide regular updates and presentations to clients
- Write Reports
Required Skills:
- Educational Qualifications in Computer Science, Data Science, Physics, Maths etc.
- Python
- Machine Learning
- Statistical Modelling
- CI/CD Pipelines
- Databricks
- Database Management (bonus!)
Benefits:
- 33 Days Holiday (incl. Bank Holidays)
- Pension Plans
- Flexible Working
If you are an experienced Data Scientist and you are looking to work with an organisation that has a fantastic approach to work in a supportive and innovative environment, then look no further – this is the role for you!
Data Scientist employer: Oscar
Contact Detail:
Oscar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarise yourself with the latest trends in data science, particularly in Python and Machine Learning. This will not only help you during interviews but also demonstrate your commitment to staying updated in a rapidly evolving field.
✨Tip Number 2
Network with current employees or alumni from the company. Engaging with them on platforms like LinkedIn can provide you with insights into the company culture and expectations, which can be invaluable during your interview.
✨Tip Number 3
Prepare to discuss specific projects where you've applied data science techniques. Be ready to explain your problem-solving approach and how you’ve successfully led client relationships in previous roles.
✨Tip Number 4
Practice presenting complex data findings in a clear and concise manner. Since the role involves regular updates and presentations to clients, showcasing your communication skills can set you apart from other candidates.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, Machine Learning, and Databricks. Use specific examples of projects you've worked on that demonstrate your skills in these areas.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your problem-solving mindset aligns with their focus on client relationships and bespoke solutions.
Showcase Relevant Projects: If you have any relevant projects or case studies, include them in your application. This could be through a portfolio or links to GitHub repositories that showcase your data science work.
Prepare for Interviews: Anticipate questions related to your technical skills and client management experience. Be ready to discuss how you've applied data science techniques to solve real-world problems.
How to prepare for a job interview at Oscar
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python, Machine Learning, and Databricks during the interview. Prepare examples of past projects where you successfully applied these skills, as this will demonstrate your capability to meet the company's technical requirements.
✨Understand the Company’s Focus
Research the consultancy's work in various sectors and their approach to delivering high-quality solutions. Being able to discuss how your experience aligns with their mission will show that you are genuinely interested in the role and the company.
✨Prepare for Client Interaction Scenarios
Since the role involves leading client relationships, be ready to discuss how you would approach understanding client pain points and developing tailored solutions. Think of specific examples where you've successfully managed client expectations or delivered impactful results.
✨Practice Your Presentation Skills
As you'll need to provide regular updates and presentations to clients, practice explaining complex data science concepts in a clear and engaging manner. This will help you convey your ideas effectively during the interview and demonstrate your communication skills.
