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- Tasks: Use data to build models and forecast trends in finance.
- Company: Join a leading firm with a supportive and creative culture.
- Benefits: Enjoy excellent benefits, including bonuses and healthcare.
- Why this job: Work on unique projects across Europe and make a real impact.
- Qualifications: Must have Python experience; SQL knowledge is a plus.
- Other info: Simple interview process with full support throughout.
The predicted salary is between 28800 - 48000 £ per year.
Excellent Benefits including bonus, healthcare & more.
Your chance to work with some highly cerebral and grounded colleagues in a supportive, creative and meritocratic environment.
About the role:
- Working for a specialist in FS with some unique projects.
- You’ll utilize structured and unstructured data to build models and forecast PtoP and other models – also get involved in some new projects such as NLP.
- Work across different European portfolios – presenting to colleagues and providing insight.
- You could be working with a large European bank or a smaller Italian FS client.
- Modelling, model scoring and monitoring – predictive and descriptive using various data sources.
About you:
- Python and SQL experience ideally - Python a MUST.
- Modelling – CHAID, cluster analysis, Bayesian algorithms, NN, MARS.
- Experience of visualisation tools would be nice.
- Experience in a data science role with a focus on modelling & coding.
- Industry agnostic.
What Happens Next?
The interview process is simple – initial phone call with the Head of Data Science, then you’re given a project to work on and present back. The process will take days and we’re able to provide full support to all candidates throughout the process.
Please feel free to call or email any of the team at PeopleGenius for more information on this and any other of our roles.
Seniority level: Associate
Employment type: Full-time
Job function: Information Technology, Strategy/Planning, and Analyst
Industries: Banking, Financial Services, and Investment Banking
Data Scientist in Manchester employer: PeopleGenius
Contact Detail:
PeopleGenius Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in Manchester
✨Tip Number 1
Get your networking game on! Reach out to people in the industry, especially those working at PeopleGenius. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Prepare for that project presentation like it’s the final exam! Brush up on your Python and SQL skills, and make sure you can showcase your modelling techniques clearly. We want to see your thought process!
✨Tip Number 3
Don’t underestimate the power of a follow-up! After your interview or project presentation, drop a quick thank-you note to your interviewer. It shows your enthusiasm and keeps you fresh in their minds.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re here to support you throughout the process, so don’t hesitate to reach out if you need help.
We think you need these skills to ace Data Scientist in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your Python and SQL experience, as well as any modelling techniques you've used. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to our team. Keep it concise but engaging – we love a good story!
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them in your application. Whether it's a personal project or something from a previous job, we want to see your hands-on experience with data modelling and analysis.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining our awesome team!
How to prepare for a job interview at PeopleGenius
✨Know Your Data Science Stuff
Make sure you brush up on your Python and SQL skills, as these are a must for the role. Be ready to discuss your experience with modelling techniques like CHAID, Cluster Analysis, and Bayesian Algorithms. The more specific examples you can provide, the better!
✨Prepare for the Project Presentation
Since you'll be given a project to work on, take this seriously! Think about how you can showcase your analytical skills and creativity. Practice presenting your findings clearly and confidently, as this will demonstrate your ability to communicate complex ideas effectively.
✨Familiarise Yourself with Visualisation Tools
While experience with visualisation tools isn't mandatory, it’s definitely a plus. If you have any familiarity with tools like Tableau or Power BI, be prepared to discuss how you've used them in past projects. This could set you apart from other candidates!
✨Understand the Company and Its Clients
Research the company and its clients, especially in the financial services sector. Knowing about their unique projects and how you can contribute will show your genuine interest in the role. Plus, it’ll help you tailor your answers to align with their goals and values.