Applied AI & Automation Engineer - Platform (London)

Applied AI & Automation Engineer - Platform (London)

Full-Time 50000 - 60000 £ / year (est.) Home office (partial)
SPG Resourcing

At a Glance

  • Tasks: Design and implement a reporting automation platform to enhance fund administration processes.
  • Company: Join SPG Resourcing's innovative Data Science team in London.
  • Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Collaborative environment with dynamic challenges and career advancement opportunities.
  • Why this job: Work with advanced technologies and make a real impact in the financial sector.
  • Qualifications: Strong Python skills, SQL expertise, and experience in systems integration required.

The predicted salary is between 50000 - 60000 £ per year.

SPG Resourcing is seeking a talented Applied AI & Automation Engineer to join their Data Science team in London. This hybrid role focuses on designing and implementing a reporting automation platform that enhances fund administration processes.

Candidates should possess strong Python skills, SQL expertise, and experience in systems integration. The position promotes collaboration across teams and offers the chance to work on advanced technologies in a dynamic financial environment.

Applied AI & Automation Engineer - Platform (London) employer: SPG Resourcing

SPG Resourcing is an excellent employer that fosters a collaborative and innovative work culture, particularly for the Applied AI & Automation Engineer role in London. Employees benefit from opportunities to work with cutting-edge technologies while enhancing their skills in a dynamic financial environment, ensuring meaningful career growth and development. The hybrid work model also provides flexibility, making it an attractive place for professionals seeking a rewarding and impactful career.

SPG Resourcing

Contact Details:

SPG Resourcing Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Applied AI & Automation Engineer - Platform (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 SPG Resourcing!

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 Applied AI & Automation Engineer - Platform (London) at SPG Resourcing.

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 SPG Resourcing.

Apply Directly through Our Website

When you find a suitable opening like Applied AI & Automation Engineer - Platform (London) at SPG Resourcing, 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 Applied AI & Automation Engineer - Platform (London)

Python
SQL
Systems Integration
Reporting Automation
Collaboration Skills
Data Science
Advanced Technologies

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 SPG Resourcing, 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 SPG Resourcing. 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 SPG Resourcing

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 SPG Resourcing!

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.