At a Glance
- Tasks: Design and deploy bespoke AI agents for top-tier clients across various sectors.
- Company: Rapidly growing AI tech scale-up with a focus on innovation.
- Benefits: Competitive salary, sizeable shares, and hybrid work model.
- Other info: Collaborative environment with opportunities to experiment and grow.
- Why this job: Make a real-world impact using cutting-edge AI technologies.
- Qualifications: Strong foundations in data science, statistics, and Python programming.
The predicted salary is between 60000 - 100000 £ per year.
We are excited to be working with a rapidly growing AI tech scale-up that’s expanding its team with a talented Data Scientist or Senior Data Scientist. This pioneering company offers an advanced enterprise platform that delivers predictive analytics and AI-powered decision-making. Their digital AI agents provide always-on, intelligent insights, empowering top-tier clients across sectors, including asset management, banking, retail, telecoms, supply chain, and utilities, to dramatically enhance performance and efficiency.
You’ll play a key role in designing and deploying bespoke AI agents in collaboration with leading enterprises. This isn’t your typical Data Science position – it’s deeply technical, highly collaborative, and focused on delivering real-world impact. You’ll help translate complex business challenges into intelligent, scalable solutions powered by cutting-edge AI tools.
Key attributes of a suitable Data Scientist or Senior Data Scientist include:
- Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred.
- Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such as LLMs, RAGs, co-pilots, agentic workflows (heavily desired), and more.
- Client-Centric Problem Solver – You’re confident engaging with clients and stakeholders, able to translate complex business problems into elegant, scalable AI solutions. You’ve played a hands-on role in architecting and delivering real-world deployments.
Data Scientist Ml Ai Python in City of London employer: Nicholson Glover
Join a pioneering AI tech scale-up in London that champions innovation and collaboration, offering a vibrant work culture where your contributions directly impact top-tier clients across various sectors. With competitive salaries, sizeable shares, and a hybrid working model, this company prioritises employee growth through hands-on experience with cutting-edge AI technologies, fostering an environment where your passion for data science can thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist Ml Ai Python in City of 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 Nicholson Glover!
✨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 Data Scientist Ml Ai Python at Nicholson Glover.
✨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 Nicholson Glover.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist Ml Ai Python at Nicholson Glover, 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 Data Scientist Ml Ai Python in City of 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 Nicholson Glover, 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 Nicholson Glover. 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 Nicholson Glover
✨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 Nicholson Glover!
✨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.
