At a Glance
- Tasks: Build and optimise data models using cutting-edge Machine Learning and AI technologies.
- Company: Join a global tech leader with a focus on innovation and collaboration.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team environment with exciting projects in NLP and Generative AI.
- Why this job: Make a real impact by solving complex problems with large-scale datasets.
- Qualifications: 3+ years in Data Science, strong Python skills, and experience with ML frameworks.
The predicted salary is between 63000 - 77000 £ per year.
Oliver Bernard have partnered with an exciting global technology & information business who are looking to add a Data Scientist to their growing team. This is a great opportunity for a mid-senior Data Scientist looking to work across Machine Learning, NLP and Generative AI, tackling complex problems with large-scale scientific and content datasets.
What you'll be working on:
- Building, evaluating and fine-tuning models for production
- Developing scalable Python-based data science and ML pipelines
- Model deployment, monitoring and continuous optimisation
What they're looking for:
- 3+ years experience in Data Science / ML / AI
- Strong Python and solid ML fundamentals
- Experience working with large-scale structured, semi-structured or unstructured data
- Experience with Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow or similar
- Experience working with LLMs such as GPT, Claude or Gemini
- Strong analytical and problem-solving skills
- Comfortable working cross-functionally with engineering, product and research teams
A great opportunity for someone who wants to work at the intersection of Data Science, NLP and Generative AI, while building production systems that have genuine user impact.
Mid-Senior Data Scientists - London employer: Oliver Bernard
Join a dynamic global technology and information business in London, where innovation meets collaboration. As a mid-senior Data Scientist, you'll thrive in a culture that values creativity and continuous learning, with ample opportunities for professional growth in cutting-edge fields like Machine Learning and Generative AI. Enjoy a supportive work environment that encourages cross-functional teamwork and offers the chance to make a real impact on user experiences through your work.
StudySmarter Expert Advice🤫
We think this is how you could land Mid-Senior Data Scientists - London
✨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 Mid-Senior Data Scientists - London 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 Mid-Senior Data Scientists - London 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 Mid-Senior Data Scientists - London
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.
