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For Companies At a Glance
- Tasks: Build and analyse data models using Python and SQL in a dynamic team.
- Company: Join a hedge fund-backed financial services firm with a creative culture.
- Benefits: Enjoy competitive pay, bonuses, healthcare, and a supportive work environment.
- Why this job: Make an impact on innovative projects while collaborating with bright minds.
- Qualifications: Must have Python skills and experience in data science and modelling.
- Other info: Work in Central Manchester with excellent career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
This role is brand new; we’re looking for someone with a year or two’s commercial experience as a Data Scientist (Industry Agnostic) in the UK with a UK Degree and ideally a Masters – solid Python skills, modelling and analytical prowess. This is a small team, where you’ll be outgoing, bright and inquisitive. You’ll work from an office in Central Manchester 3 days per week.
Why this Company?
- Excellent Benefits including Bonus, healthcare & more
- Your chance to work with some highly cerebral and motivated colleagues
- Financial Services - Hedge Fund backed and highly profitable
- 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
- Experience in a data science role with a focus on modelling & coding is a must
- Degree and/or Masters educated in Computer Science, Maths, Stats, etc.
- Modelling – CHAID, cluster analysis, Bayesian algorithms, NN, MARS
- Experience with visualisation tools would be a positive though not a pre-requisite
- Industry agnostic
What Happens Next
The interview process is simple – Teams/Zoom with us, initial screening call with the Head of Data Science/Analytics, then you’re given a project to work on and present back and face‑to‑face interview in Manchester the same day. We support you throughout the entire process.
Key skills & keywords
- Data Scientist
- Senior Analyst
- Artificial Intelligence
- Machine Learning
- AI Data Scientist
- Modelling Analyst
- Statistical Analyst
- SQL
- Python
- Coding
- Algorithms
- Quantitative Finance
Job details
- Seniority level: Associate
- Employment type: Full‑time
- Job function: Information Technology, Strategy/Planning, and Analyst
- Industries: Banking, Financial Services, Investment Banking
Data Scientist AI in Manchester employer: PeopleGenius
Contact Detail:
PeopleGenius Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist AI in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, especially those who work in financial services. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Prepare for your interviews by brushing up on your Python and SQL skills. We recommend doing some mock interviews with friends or using online platforms to get comfortable with common data science questions.
✨Tip Number 3
Show off your projects! If you’ve worked on any interesting data models or analyses, be ready to discuss them in detail. This is your chance to demonstrate your analytical prowess and coding skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. 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 AI in Manchester
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python and SQL skills in your application. We want to see how you've used these tools in your previous roles, so don’t hold back on the details!
Tailor Your CV: Customise your CV to match the job description. Use keywords from the listing, especially around modelling and data analysis, to show us you’re the perfect fit for our team.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're excited about this role and how your experience aligns with what we’re looking for. Keep it engaging and personal.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at PeopleGenius
✨Know Your Python Inside Out
Since Python is a must for this role, make sure you brush up on your skills. Be ready to discuss specific projects where you've used Python for data modelling or analysis. Practising coding challenges can also help you demonstrate your proficiency.
✨Showcase Your Analytical Prowess
Prepare to talk about your experience with different modelling techniques like CHAID or Bayesian algorithms. Have examples ready that highlight how you've applied these methods in real-world scenarios, especially in a commercial setting.
✨Get Familiar with the Company and Its Projects
Research the company’s focus on financial services and their unique projects. Understanding their work with European banks will allow you to tailor your answers and show genuine interest during the interview.
✨Practice Your Presentation Skills
Since you'll be presenting a project back to the team, practice explaining complex concepts clearly and concisely. Use visual aids if possible, and be prepared to answer questions about your approach and findings.
