Impactful Data Scientist - ML Production & Analytics

Impactful Data Scientist - ML Production & Analytics

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Develop machine learning applications and deliver impactful models for millions of customers.
  • Company: Join Lloyds Banking Group, a leader in the financial sector with a collaborative spirit.
  • Benefits: Enjoy a generous pension, annual bonus, and 30 days' holiday.
  • Other info: Work within multidisciplinary teams and grow your career in analytics.
  • Why this job: Make a real difference with your data skills in a dynamic environment.
  • Qualifications: Solid background in statistical modelling and machine learning techniques required.

The predicted salary is between 60000 - 80000 £ per year.

Lloyds Banking Group is looking for a Data Scientist to work within multidisciplinary teams, developing machine learning applications using Python. This role involves delivering models that impact millions of customers in the UK across various business sectors.

The ideal candidate will have a solid background in statistical modelling and machine learning techniques, and the ability to present complex data insights.

A wide-ranging benefits package is offered, including a generous pension contribution, annual bonus, and 30 days' holiday.

Impactful Data Scientist - ML Production & Analytics employer: LLOYDS BANKING GROUP

Lloyds Banking Group is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among multidisciplinary teams. With a commitment to employee growth, you will have access to extensive training opportunities and a comprehensive benefits package, including a generous pension contribution, annual bonus, and 30 days' holiday, making it an ideal place for those seeking meaningful and rewarding employment in the heart of the UK banking sector.

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Contact Details:

LLOYDS BANKING GROUP Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Impactful Data Scientist - ML Production & Analytics

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 Impactful Data Scientist - ML Production & Analytics 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 Impactful Data Scientist - ML Production & Analytics 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 Impactful Data Scientist - ML Production & Analytics

Python
SQL
Communication Skills
Problem-Solving Skills
Automation
Data Engineering
Attention to Detail

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.