At a Glance
- Tasks: Build and deploy impactful AI models in a fast-paced, collaborative environment.
- Company: Join a tech-driven insurance company with a mission to support small businesses.
- Benefits: Enjoy competitive salary, flexible work, generous leave, and health perks.
- Other info: Dynamic hybrid role with excellent career growth and learning opportunities.
- Why this job: Shape the future of AI while making a real difference for small businesses.
- Qualifications: 5+ years in Data Science or ML Engineering with strong Python skills.
Salary: £100,000 - 100,000 per year
Requirements
- We are looking for an experienced Data Scientist or ML Engineer with at least 5 years of experience, covering both classic machine learning and generative AI.
- We need someone who has successfully built multiple Data Science products that have delivered measurable impact.
- We require extensive experience with Databricks, AWS, or GCP, with real-time deployment experience.
- We are looking for strong Python skills and proven experience with experimentation tools such as MLflow or DBX for A/B testing.
- We want someone who is pragmatic, collaborative, and comfortable working in a bridge role between Data Science and MLOps.
- We value candidates who are proactive, informed, and willing to challenge complexity to improve how we work.
Responsibilities
- We work closely with cross-functionally teams to build, test, and maximise the value of models ranging from LLMs to propensity and classification models.
- We contribute to the end-to-end development and deployment of ML and AI models to deliver tangible commercial value.
- We act as a technical bridge between Data Science and MLOps to embed best-practice deployment techniques across the team.
- We take hands-on ownership of major projects, working with a large, event-based data set.
- We research, advise on, and deploy models from day one in a fast-paced, agile environment.
- We help shape our AI strategy and ensure we continue to leverage GenAI for maximum impact.
Technologies
- AI
- AWS
- Databricks
- GCP
- Support
- Machine Learning
- MLflow
- MLOps
- Python
- Cloud
More
We insure small businesses and enable big dreams for our customers, our people, and our communities. We are a technology company as well as an insurance company, with over 1,000,000 active insurance policies and coverage for builders, bakers, landlords, and more than 1,200 other trades. Our Big Dreams Project aims to help 10,000 small businesses start or grow by 2030. This is a permanent Technology role with one opening, based in a highly flexible hybrid environment.
- 25 days of annual leave plus bank holidays
- the option to buy additional holiday
- flexible parental leave
- life event leave
- paid sabbaticals
- private medical insurance through BUPA
- a health cash plan
- a competitive salary with annual bonus potential
- learning and development support
- counselling access
- pension matching up to five per cent
- life assurance
- a salary sacrifice car scheme
- and flexible benefits including critical illness cover, dental insurance, travel insurance, or gym membership
We are committed to equality, inclusion, and a respectful workplace for all colleagues and candidates.
last updated 31 week of 2026
Senior Data Scientist AI Engineer in City of Westminster employer: Hackajob Ltd
At loveholidays, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. As a Product Designer, you'll have the opportunity to contribute to meaningful projects that enhance customer experiences while enjoying a range of benefits, including professional development opportunities and a supportive team environment in a vibrant location. Join us in our mission to make travel accessible for everyone and be part of a company that values your creativity and input.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist AI Engineer in City of Westminster
✨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 Ltd!
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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 Ltd.
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We think you need these skills to ace Senior Data Scientist AI Engineer in City of Westminster
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 Ltd, 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 Ltd. 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 Ltd
✨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 Ltd!
✨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.
