At a Glance
- Tasks: Design and build cutting-edge AI solutions while mentoring fellow data enthusiasts.
- Company: Join a global leader in analytics, driving innovation in healthcare and science.
- Benefits: Up to £75k base salary, 10% bonus, hybrid work, and flexible hours.
- Other info: Quick interview process and a focus on employee wellbeing.
- Why this job: Make a real-world impact with advanced AI technologies in a supportive environment.
- Qualifications: Strong Python skills and experience with NLP or LLM in practical settings.
The predicted salary is between 63000 - 77000 £ per year.
2 days onsite weekly, Central London
3 stage interview process
About the company
We're partnered with a global leader in information and analytics that is expanding its data science function in London. Working with extensive, complex datasets, the organisation develops advanced analytical and AI-driven solutions that support innovation across scientific and healthcare-related industries. This is applied AI with real-world impact, backed by a stable, well-established business.
What you’ll be doing
- Designing, building and evaluating NLP, LLM and generative AI solutions
- Developing production-ready Python code with engineering teams
- Setting up evaluation and monitoring frameworks so outputs are trusted and reliable
- Mentoring colleagues and helping raise the technical bar
What you’ll bring
- Strong Python and solid machine learning fundamentals
- Hands-on experience with LLMs, RAG or NLP in an applied or product setting
- Experience with large text or content-rich datasets
- Familiarity with cloud platforms and modern engineering practices
What’s on offer
- Up to £75k base + 10% bonus
- Hybrid working, 2 days a week in central London
- Flexible hours and a strong focus on wellbeing
- A quick 3-stage process, completed in around 7 working days
Senior Data Scientist - London, Hybrid - up to £75k base employer: Oliver Bernard
At Oliver Bernard, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and the chance to work with cutting-edge technologies in a vibrant location. Join us to make a meaningful impact while enjoying a supportive environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist - London, Hybrid - up to £75k base
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Oliver Bernard!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Scientist - London, Hybrid - up to £75k base at Oliver Bernard.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Oliver Bernard.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Scientist - London, Hybrid - up to £75k base at Oliver Bernard, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Scientist - London, Hybrid - up to £75k base
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
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!
✨Showcase Your Projects
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
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Oliver Bernard!
✨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.
