At a Glance
- Tasks: Apply cutting-edge Generative AI techniques to build and deploy innovative models.
- Company: Join a global consultancy with Europe's brightest minds in tech.
- Benefits: Competitive salary up to £150k, hybrid work, and collaboration on exciting projects.
- Other info: Opportunity for career growth in a dynamic and collaborative environment.
- Why this job: Make a real impact in the AI field while working with top professionals.
- Qualifications: Experience in Generative AI, Python, and cloud platforms; MSc or PhD is a plus.
The predicted salary is between 72000 - 108000 £ per year.
We are working with a global consultancy that’s hiring multiple Data Scientists with deep expertise in Generative AI. An extremely rare opportunity to work alongside Europe’s brightest minds and contribute to some of the most forward-thinking and innovative projects around.
You’ll be applying the latest in GenAI, building and deploying models using LLMs and other advanced techniques. The role involves close collaboration with Engineering, Product, and Infrastructure teams to create scalable and production-ready AI solutions.
What they’re looking for:
- Proven track record in top companies.
- Strong hands-on experience in Generative AI and Data Science.
- Solid proficiency in Python and popular ML libraries.
- Experience with cloud platforms (AWS, GCP, Azure).
- MSc or PhD is a plus.
- Excellent communication and problem-solving skills.
- Experience in the consulting world is also a plus.
Requirements:
- Must be UK-based.
- Unfortunately, visa sponsorship is not available.
Salary: £100k to £150k, depending on experience.
Location: Hybrid – 2 days/week in London office.
Data Scientist - Up to £150k in Aberdeen employer: Oliver Bernard
At Oliver Bernard, we pride ourselves on being an exceptional employer that fosters innovation and creativity in the field of AI engineering. Our collaborative work culture encourages continuous learning and professional growth, providing employees with opportunities to tackle complex challenges while working with cutting-edge technology. Located in a vibrant tech hub, we offer competitive benefits and a supportive environment that values each team member's contributions, making it an ideal place for those seeking meaningful and rewarding employment.
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We think this is how you could land Data Scientist - Up to £150k in Aberdeen
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We think you need these skills to ace Data Scientist - Up to £150k in Aberdeen
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Oliver Bernard, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Oliver Bernard. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Oliver Bernard
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
