Newcastle Data Scientist - Finance & Investment Analytics

Newcastle Data Scientist - Finance & Investment Analytics

Full-Time 60750 - 74250 £ / year (est.) No working from home possible
Switch Tech Talent

At a Glance

  • Tasks: Transform complex data into actionable insights and predictive models.
  • Company: Join a forward-thinking tech talent firm in Newcastle.
  • Benefits: Competitive salary, hands-on experience, and opportunities for growth.
  • Other info: Collaborative environment with investment professionals and engineers.
  • Why this job: Make a real impact in finance by turning data into decisions.
  • Qualifications: Strong Python/SQL skills and a 2:1 degree in a quantitative field.

The predicted salary is between 60750 - 74250 £ per year.

Switch Tech Talent is seeking a Data Scientist in Newcastle (on-site).

You will collaborate with investment professionals and engineers to turn complex datasets into actionable insights and data products.

Responsibilities include building predictive models, analysing financial data, and communicating results to stakeholders.

A strong background in Python/SQL and applied statistics is required, with a 2:1 quantitative degree.

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Newcastle Data Scientist - Finance & Investment Analytics employer: Switch Tech Talent

At Switch Tech Talent, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Located in the vibrant Shoreditch area of London, we offer our Product Engineers not only competitive salaries and benefits but also ample opportunities for professional growth in a dynamic start-up environment. Join us to work on cutting-edge AI solutions while enjoying a flexible work-life balance and a supportive team atmosphere.

Switch Tech Talent

Contact Details:

Switch Tech Talent Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Newcastle Data Scientist - Finance & Investment 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 Switch Tech Talent!

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 Newcastle Data Scientist - Finance & Investment Analytics at Switch Tech Talent.

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 Switch Tech Talent.

Apply Directly through Our Website

When you find a suitable opening like Newcastle Data Scientist - Finance & Investment Analytics at Switch Tech Talent, 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 Newcastle Data Scientist - Finance & Investment Analytics

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

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 Switch Tech Talent, 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 Switch Tech Talent. 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 Switch Tech Talent

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 Switch Tech Talent!

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.