At a Glance
- Tasks: Drive AI and Data Science initiatives to deliver real-world value quickly.
- Company: Simply Business, a tech-driven insurance company supporting small businesses.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Be part of a dynamic team focused on learning and improvement.
- Why this job: Join a mission to empower small businesses and make a tangible impact.
- Qualifications: Experience in Data Science and MLOps with a passion for innovation.
The predicted salary is between 63000 - 77000 £ per year.
hackajob is partnering directly with Simply Business to hire for this role.
Who Are We?
We insure small businesses and enable big dreams - not just for our customers, but for our people and communities too.
With over 1,000,000 active insurance policies, we protect builders, bakers, landlords and more than 1,200 other trades.
We're a technology company as well as one that sells insurance.
That means we build, we fail, we learn and we improve.
Through our global social impact strategy, called 'The Big Dreams Project', we're working to help 10,000 small businesses start or grow by 2030.
Why not check out our advert on You
Tube: Simply Business TV advert 2024: 'Simply the Best'.
- Job Category
- Technology
- Position Type
- Permanent
- Target Openings
What Is the Opportunity?
Here's what you'll be doing
At Simply Business, we're putting AI and Data Science at the very heart of what we do.
We are looking to unify our technical vision, and we need an experienced, pragmatic Staff Data Scientist to join us.
Your mission will be to enable our wider team to deliver real-world value-and do it quickly.
What makes this role different?
You aren't just building models in a vacuum; you're the bridge between Data Science and MLOps.
You'll have the autonomy to try an incredibly broad range of techniques-from LLMs to classic re...
Senior Data Scientist AI Engineer in London employer: Hackajob
Joining Google as a Security Platform Engineer in the UK Public Sector means becoming part of a dynamic and innovative team dedicated to delivering secure private cloud services for critical customers. With a strong emphasis on employee growth, you will have access to cutting-edge technology and collaborative opportunities that foster professional development. The inclusive work culture at Google encourages creativity and teamwork, making it an exceptional employer for those seeking meaningful and impactful work in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist AI Engineer in 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 Hackajob!
✨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 AI Engineer at Hackajob.
✨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 Hackajob.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Scientist AI Engineer at Hackajob, 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 AI Engineer in 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 Hackajob, 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 Hackajob. 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 Hackajob
✨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 Hackajob!
✨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.
