At a Glance
- Tasks: Help ensure data accuracy for an AI-powered platform and refine instructions for AI models.
- Company: Join a cutting-edge fintech organisation in Bristol with a mission-driven culture.
- Benefits: Earn £15 per hour, enjoy full training, and gain hands-on experience with AI.
- Other info: Temporary four-week contract with excellent opportunities for growth.
- Why this job: Dive into the world of AI, solve problems, and make a real impact.
- Qualifications: Detail-oriented, strong communication skills, and a passion for technology.
The predicted salary is between 15 - 15 £ per hour.
Red Recruitment is recruiting a switched-on and detail-oriented Data Analyst to join an innovative fintech organisation in Bristol on a four-week temporary contract. Working within the Product team, you will help ensure the data used by an AI-powered platform is reliable and accurate. You will write and refine instructions for AI models, test data extractions and manually review the results. This is an excellent opportunity for someone who is curious about AI, enjoys solving problems and takes pride in getting the details exactly right.
Package for a Data Analyst:
- Salary: £15 per hour
- Hours: Monday to Friday, 9.00am-5.00pm
- Contract: Temporary, four-week contract
- Location: Office-based in Bristol
- Start Date: Monday 10th August
- Full training on the systems, tools and specialist subject matter
- Hands-on experience working with AI and large language models
- Supportive, collaborative and mission-driven working environment
- Opportunity to gain experience within an innovative fintech organisation
Key Responsibilities of a Data Analyst:
- Writing and refining clear, structured data descriptions that instruct AI models on what information to extract
- Reviewing prompts to ensure they accurately reflect the required data points
- Running data extraction tests across a range of documents
- Manually checking results for accuracy, consistency and completeness
- Investigating inaccurate results and refining instructions accordingly
- Considering how each data point will be used within the wider product
- Flagging definitions that need to be clarified or strengthened
- Communicating issues clearly to members of the Product and Engineering teams
- Taking ownership of problems and seeing them through to resolution
- Supporting the team in maintaining high standards of data quality
Key Skills and Experience of a Data Analyst:
- Exceptional attention to detail and a commitment to producing accurate work
- A logical and analytical approach to reviewing information and solving problems
- Strong written communication skills, with the ability to create clear and precise instructions
- Confidence working through ambiguity and investigating issues
- Ability to learn new systems, tools and subject areas quickly
- Strong organisational skills and the ability to remain accurate when completing detailed tasks
- A proactive approach and willingness to take ownership of your work
- An interest in AI, technology and large language models
- Ability to communicate effectively with technical and non-technical colleagues
- Previous experience using AI tools or writing prompts is beneficial but not essential
Data Analyst in Gloucester employer: Red Recruitment
Join a dynamic team at a leading telecommunications provider in Solihull, where your role as an Executive Resolutions Specialist will not only allow you to take ownership of customer complaints but also contribute to a culture of exceptional service and continuous improvement. With a competitive salary, generous holiday allowance, and comprehensive benefits including private medical insurance and ongoing training opportunities, this company prioritises employee well-being and professional growth, making it an excellent employer for those seeking meaningful and rewarding work.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Gloucester
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Red Recruitment before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Red Recruitment.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Red Recruitment.
We think you need these skills to ace Data Analyst in Gloucester
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Red Recruitment, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Red Recruitment, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Red Recruitment’s attention and show the tangible impact of your work.
How to prepare for a job interview at Red Recruitment
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Red Recruitment.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Red Recruitment.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Red Recruitment.
