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- Tasks: Join a dynamic team to develop and deploy innovative data science solutions for clients.
- Company: A leading consultancy in Bristol, known for 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 an enthusiastic team in a vibrant environment that values innovation and client relationships.
- Qualifications: Degree in Computer Science, Data Science, or related fields; skills in Python, Machine Learning, and Databricks required.
- Other info: Refer a friend and earn £1,000 in retail vouchers if they get hired!
The predicted salary is between 39000 - 57000 £ 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
Rebecca.myers@oscar-tech.com
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 can provide insights into the company culture and expectations, which can be invaluable when preparing for interviews.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully applied data science techniques. Be ready to explain your problem-solving approach and how you’ve built client relationships in previous roles.
✨Tip Number 4
Practice your presentation skills, as you'll need to provide regular updates and reports to clients. Being able to communicate complex data findings clearly will 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 where you've applied these skills to demonstrate your expertise.
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 delivering bespoke solutions and building client relationships.
Showcase Relevant Projects: Include a section in your application that details relevant projects or case studies where you've successfully implemented data science solutions. This will help illustrate your practical experience and ability to lead client relationships.
Highlight Educational Background: Ensure you mention your educational qualifications in Computer Science, Data Science, Physics, or Maths. This is crucial as it aligns with the requirements of the role and shows your foundational knowledge in the field.
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. Be prepared to discuss specific projects where you've applied these skills, as this will demonstrate your hands-on experience and technical expertise.
✨Understand the Company’s Values
Research the consultancy's approach to delivering bespoke solutions and their focus on client relationships. Showing that you align with their values and understand their mission can set you apart from other candidates.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities. Think of examples where you've successfully tackled challenges in data science, and be ready to explain your thought process and the impact of your solutions.
✨Practice Your Presentation Skills
Since the role involves providing 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.
