At a Glance
- Tasks: Design and develop robust analytical data models for AI/ML readiness.
- Company: Simply Business, a forward-thinking company transforming small business insurance.
- Benefits: Flexible working, continuous learning, and a supportive team culture.
- Other info: Opportunity to mentor junior engineers and drive best practices.
- Why this job: Join a dynamic team making a real impact in the insurance industry.
- Qualifications: 3+ years in analytics or data engineering with ML experience.
The predicted salary is between 60000 - 80000 £ per year.
hackajob is collaborating with Simply Business to connect them with exceptional professionals for this role.
Our story - continued commitment to doing the right thing. Simply Business – a small company with a big idea. To transform the way that other small businesses could get the insurance that they need. To reduce time, hassle and jargon wherever possible while introducing the simplicity, choice and value that small businesses are entitled to. To protect them from harm. To keep their livelihoods safe. And to do all this with the promise of positive service. Delivered by happy people, working flexibly, learning constantly. With a restlessly innovative spirit. Within a business committed to doing the right thing. All of the time.
This role will sit within the global Data and Analytics team (DNA) in Simply Business. DNA has been central to empowering data-driven decision making at SB. We have invested heavily in our data pipeline, data engineering, business intelligence and machine learning capabilities.
The Senior Analytics Engineer is a senior technical role responsible for the design and development of robust analytical data models. These critical data assets act as the authoritative source of truth, feeding systems across Finance, Operations, Marketing, and Enterprise Analytics.
A key responsibility is pioneering AI/ML readiness by championing scalable feature sets and designing low-latency, event-driven data models to support real-time decisions (e.g., dynamic pricing, risk assessment) from quote to claims.
Operating with autonomy, the role requires technical expertise and strategic thinking to set technical standards, mentor junior engineers, and drive best practices in data governance, quality assurance, and documentation.
As Senior Analytics Engineer, you will:
- Design and build the data models in our data warehouse, ensuring they are AI and ML ready
- Integrate new sources of data to enrich our analytical capabilities and provide the necessary datasets for AI/ML models
- Work with various business and engineering teams to ensure reliable, scalable, robust architecture for our analytics platform, with a focus on feature engineering pipelines
- Manage our ELT pipelines that feed reporting systems and analytical teams
- Work with the engineering and product teams to ensure application design accommodates reporting and analytics requirements, particularly for AI and ML features
What are we looking for:
- 3+ years of analytics or data engineering experience
- Experience modeling and transforming data using tooling such as dbt
- Experience with cloud data warehouses such as Snowflake or Databricks
- Experience in building ML features
- Any experience in real time streaming tools and frameworks, e.g. Apache Flink, is a plus
- Any experience evaluating new tools and processes to drive the adoption and usability of AI and ML ready data
- Familiarity with a variety of programming languages
- Knowledge of the insurance domain will be an added bonus
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Engineer (with ML/AI experience) (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 Simply Business!
✨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 Analytics Engineer (with ML/AI experience) (London) at Simply Business.
✨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 Simply Business.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Analytics Engineer (with ML/AI experience) (London) at Simply Business, 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 Analytics Engineer (with ML/AI experience) (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 Simply Business, 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 Simply Business. 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 Simply Business
✨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 Simply Business!
✨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.
