At a Glance
- Tasks: Transform raw data into actionable insights and support business decisions.
- Company: Join a global leader in financial services with a focus on SMEs.
- Benefits: Competitive salary, private healthcare, flexible benefits, and 25 days holiday.
- Other info: Opportunities for career growth and practical exposure to industry tools.
- Why this job: Gain hands-on experience with real data and develop in-demand technical skills.
- Qualifications: Curiosity, numeracy, and a willingness to learn programming basics.
The predicted salary is between 26230 - 26230 £ per year.
If you’re naturally curious, good with numbers and enjoy figuring things out, this could be the perfect first step into a career in data. You’ll get hands-on with live business data, learn in-demand technical skills and help shape real decisions across the organisation. You don’t need to know everything already, you just need curiosity, a good head for numbers and the aptitude to work with data.
The role
You’ll be working on our modern Databricks data platform, helping answer the questions that matter most to the business. Questions like:
- What does our customer portfolio look like by sector, size or geography?
- How has the business changed over the last five years?
- Where are the biggest opportunities for growth?
- How can reporting be faster, smarter and more useful?
What you’ll be doing
You’ll support analysts and stakeholders by turning raw data into useful insight. That means:
- Working with data sets to spot trends, patterns and opportunities
- Using basic SQL to query and extract information
- Using basic Python to analyse data and automate tasks
- Learning Power BI to build dashboards and visual reports
- Turning one-off requests into reusable self-serve reporting tools
- Presenting findings clearly to non-technical colleagues
- Working with stakeholders across the business to understand challenges
- Helping teams make better decisions through actionable insight
What you’ll bring
You might be studying now, recently graduated, or looking for your first break into analytics. What matters most is your potential, so we’d love to hear from you if you are:
- Highly numerate
- Studying towards (or recently completed) a numerate degree such as Maths, Science, Economics or similar
- Interested in data, analytics or technology
- Comfortable learning basic programming skills
- Curious, proactive and eager to learn
- Able to communicate clearly with different people
- Excited by the chance to make a real contribution
The good stuff
This role is designed to give you genuine career-building experience. You’ll leave with practical exposure to tools and skills employers are actively looking for.
- Real-world experience working with business data
- Training and support in SQL, Python and Power BI
- Confidence working with senior stakeholders
- Dashboard design and reporting experience
- Private healthcare for you and your family
- Company pension scheme
- Flexible benefits (gym membership, tech, health assessments and more)
- Access to an online wellbeing centre
- Discounts with a wide range of retailers
- 25 days’ holiday plus bank holidays, increasing with service, with buy/sell options
- Electric Vehicle / Plug-in Hybrid Vehicle scheme
About Bibby Financial Services
We’re a global organisation operating in nine countries, supporting over 9,000 SMEs worldwide. Following the completion of a £1bn securitisation deal, we’re increasing our lending to UK businesses at a time when support really matters and this role plays a vital part in making that happen. Opportunities like this don’t come around often and you won’t just learn theory. You’ll build practical skills, solve real business problems and see the impact of your work from day one.
Interested? Apply today with your CV, or get in touch for an informal chat. Everybody gets a response. Bibby Financial Services is committed to creating an inclusive workplace. If you require any adjustments during the recruitment process, please let us know.
Data Intern in Banbury employer: Bibby Financial Services
As a New Business Coordinator at our Yeadon location, you will thrive in a dynamic work environment that values accuracy and organisation. We offer a supportive culture with hybrid working options, competitive salary, and opportunities for professional growth, making it an excellent place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Intern in Banbury
✨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 Bibby Financial Services!
✨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 Intern at Bibby Financial Services.
✨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 Bibby Financial Services.
✨Apply Directly through Our Website
When you find a suitable opening like Data Intern at Bibby Financial Services, 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 Intern in Banbury
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 Bibby Financial Services, 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 Bibby Financial Services. 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 Bibby Financial Services
✨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 Bibby Financial Services!
✨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.
