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.
- Other info: Work in Central Manchester with excellent career growth opportunities.
- 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.
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
PeopleGenius is an exceptional employer located in the vibrant city of Manchester, offering a dynamic work culture that fosters collaboration and innovation. With a strong focus on employee growth, we provide ample opportunities for professional development and advancement within the fast-evolving fields of Data Engineering and AI/ML. Our commitment to delivering impactful solutions in regulated financial services ensures that you will be part of a meaningful mission, all while enjoying the benefits of a supportive and engaging workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist AI in Manchester
✨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 PeopleGenius!
✨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 AI at PeopleGenius.
✨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 PeopleGenius.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist AI at PeopleGenius, 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 AI in Manchester
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 PeopleGenius, 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 PeopleGenius. 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 PeopleGenius
✨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 PeopleGenius!
✨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.
