At a Glance
- Tasks: Develop and deploy machine learning models to impact millions of customers.
- Company: Join a leading insurance firm with a focus on innovation and collaboration.
- Benefits: Generous pension, annual bonuses, share schemes, and 30 days' holiday.
- Other info: Dynamic teams, excellent career growth, and a supportive work environment.
- Why this job: Make a real difference in people's lives through data-driven solutions.
- Qualifications: Experience in AI/ML, strong Python and SQL skills, and a passion for data science.
The predicted salary is between 50000 - 70000 £ per year.
About this opportunity: You will be working in multidisciplinary teams and support all stages of a project - from exploring the problem statement and experimenting with different modelling approaches to developing industrialised applications powered by Machine Learning.
As a data scientist you'll:
- Develop experimental models and machine learning applications in Python alongside our Data Engineers (who build the data pipelines and ensure quality).
- Deliver production Machine Learning models across the full reach of the Insurance Pensions & investments business - from predicting Pension balances to identifying which of our customers may fall into financial difficulty and need a helping hand.
- Collaborate in multidisciplinary squads, regularly communicating key findings to our business partners.
Your models will have a material impact on the lives of up to 30m+ customers across the whole of the UK!
What you'll need:
- Previous experience of deploying AI and ML models within a similar sized organisation.
- Strong theoretical and applied knowledge of Statistical Modelling and/or Machine Learning techniques is required such as: regression, clustering, attribution (econometrics / MMM), decision trees and gradient boosting machines (random forest, XGBoost, LGBM) and significance testing.
- A good understanding of Python and SQL is also required including how to write modular Pythonic code, familiarity with the core Python data structures and fluency with pandas; a familiarity with unit testing would be beneficial.
- The ability to present the takeaways from these techniques in a clear, visual manner to support senior business partner's decision making is key to the success of our projects.
- Experience implementing and supporting Machine Learning systems including automating data validation, model training, model validation and model monitoring would also be very useful.
We're particularly keen to hear from individuals who have a track record of delivering data science projects within commercial environments. For example, those with experience of having successfully industrialised and delivered data science solutions for large scale industry applications.
We also offer a wide-ranging benefits package, which includes:
- A generous pension contribution of up to 15%.
- An annual bonus award, subject to Group performance.
- Share schemes including free shares.
- Benefits you can adapt to your lifestyle, such as discounted shopping.
- 30 days' holiday, with bank holidays on top.
- A range of wellbeing initiatives and generous parental leave policies.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Edinburgh
✨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 LLOYDS BANKING GROUP!
✨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 at LLOYDS BANKING GROUP.
✨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 LLOYDS BANKING GROUP.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist at LLOYDS BANKING GROUP, 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 in Edinburgh
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 LLOYDS BANKING GROUP, 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 LLOYDS BANKING GROUP. 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 LLOYDS BANKING GROUP
✨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 LLOYDS BANKING GROUP!
✨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.
