At a Glance
- Tasks: Work directly with clients to create bespoke AI solutions using Python and APIs.
- Company: Fast-growing, YC-backed AI company transforming global businesses.
- Benefits: Competitive salary, hands-on experience, and exposure to cutting-edge technology.
- Other info: Unique chance to blend technical skills with client strategy in a rapidly scaling business.
- Why this job: Join a dynamic team solving real-world problems with innovative AI technology.
- Qualifications: Strong academic background in relevant fields and experience with Python.
The predicted salary is between 80000 - 98000 £ per year.
Want to work at the intersection of AI, software engineering, and client strategy? We're working with a fast-growing, YC-backed AI company that is helping global businesses unlock insights through next‑generation AI technology. As demand continues to grow, they're looking for ambitious graduates to join their team as Forward Deployed Engineers. This isn't a traditional software engineering role. You'll work directly with customers, understanding complex challenges and building bespoke AI-powered solutions using Python, APIs, and LLMs.
You’ll Need:
- A strong academic background in Social Data Science, Computational Science, Social Science or Research‑heavy background in a Social/ Neuroscience field
- Experience with Python and software development
- Interest in AI, LLMs, and emerging technologies
- Strong communication skills and a client-facing mindset
Why Join?
- Work on real‑world AI deployments from day one
- Partner directly with customers to solve high‑impact problems
- Join a rapidly scaling, venture‑backed business
- A rare opportunity to combine technical depth, commercial exposure, and cutting‑edge AI in one role.
Apply now to learn more.
Graduate Forward Deployed Engineer- Start-up - London employer: Oliver Bernard
Join a dynamic and innovative AI company in London that prioritises employee growth and collaboration. With a strong focus on real-world applications of AI technology, you'll have the chance to work closely with clients, tackling complex challenges while developing your technical and interpersonal skills. The supportive work culture fosters creativity and ambition, making it an ideal environment for graduates eager to make a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Forward Deployed Engineer- Start-up - London
✨Embrace Online Competitions
Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like Oliver Bernard when you're aiming for that entry-level role.
✨Join Data Science Meetups
Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like Oliver Bernard.
✨Networking Through University Career Services
Don't forget to leverage your university's career services! They often have exclusive internships and networking events specifically for entry-level data science positions. This is a golden opportunity to meet recruiters from companies like Oliver Bernard.
✨Spotlight Your Skills Online
Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through Oliver Bernard’s career page, where your unique skills can shine in their entry-level data science openings!
We think you need these skills to ace Graduate Forward Deployed Engineer- Start-up - London
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at Oliver Bernard, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at Oliver Bernard aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.
How to prepare for a job interview at Oliver Bernard
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
