At a Glance
- Tasks: Analyse complex datasets and build predictive models to support investment decisions.
- Company: A high-calibre tech consultancy in the financial services sector.
- Benefits: Competitive salary, target-based bonus, private healthcare, and 25 days holiday.
- Other info: Collaborative environment with opportunities for growth and exposure to financial markets.
- Why this job: Make a real impact on investment decisions and work with cutting-edge data technology.
- Qualifications: 3-6 years in data science, strong Python and SQL skills, and a relevant degree.
The predicted salary is between 63000 - 77000 £ per year.
The environment is geared towards people who enjoy tackling complex challenges, working closely with end users, and taking ownership from day one. Most of the work is greenfield, with separate divisions in financial services and defence-related projects, and will be creating insurance and energy divisions in the near future.
A growing high-calibre tech consultancy is seeking Data Scientists of various levels and disciplines to join its Data Analytics team in Newcastle. The business works with clients across financial services, investment management, private capital and front office, using technology and data to solve complex, high-impact problems. It offers a collaborative, high-calibre environment where individuals are trusted to take ownership, work closely with end users and contribute directly to commercially important decisions.
As the Data Scientist you will work with investment professionals, analysts and technology teams to turn complex financial and alternative datasets into meaningful insights, predictive models and data products. This role will involve supporting the investment decision-making process from initial idea generation through to thesis validation. This includes analysing structured and unstructured datasets, building predictive models, improving existing data products and helping investment teams understand how to use data more effectively. You will also work closely with Data Engineers to make use of automated pipelines and ensure that data products are reliable, scalable and useful across multiple business functions.
Responsibilities:
- Analyse large financial and alternative datasets to identify meaningful patterns and insights
- Build predictive models using structured and unstructured data
- Support investment teams with data-led research, analysis and decision-making
- Translate complex technical findings into clear, practical recommendations
- Develop and improve data products used by internal stakeholders
- Collaborate with Data Engineers and wider technology teams
- Investigate data quality issues, discrepancies and inconsistencies
Requirements:
- Around 3–6 years of experience in data science or a closely related field
- Strong Python and SQL skills
- Experience with predictive modelling, statistical analysis and large datasets
- Knowledge of time-series data, financial data or alternative datasets
- Experience supporting investment professionals or working in a fast-paced analytical environment
- A strong grounding in applied statistics
- Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders
- Strong attention to detail and an ability to identify data issues quickly
- A proactive, curious and commercially minded approach
- A minimum 2:1 degree in Mathematics, Statistics, Engineering, Economics, Computer Science or a related quantitative subject
- Experience with Azure or Databricks would be beneficial but is not essential.
Why join as a Data Scientist?
- Work directly on data problems that influence investment decisions
- Take ownership of meaningful projects from an early stage
- Collaborate with highly capable colleagues across data, technology and investment teams
- Gain exposure to financial markets, global economic trends and alternative datasets
- Work in a supportive environment that values curiosity, autonomy and continuous development
- Help shape data products and analytical processes within a rapidly growing business
They’re hiring for, and value, Data Scientists who:
- Enjoy working on challenging systems
- Are friendly
- Truly understand problem-solving principles
- Enjoy variety
- Are adaptable and articulate
Benefits:
- Target based bonus (~10-25%)
- Private healthcare
- Pension
- 25 days holiday + bank holidays
Data Scientist in Newcastle upon Tyne 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.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Newcastle upon Tyne
✨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 Data Scientist 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 Data Scientist 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 Data Scientist in Newcastle upon Tyne
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.
