At a Glance
- Tasks: Collaborate on innovative model evaluation and data analysis projects.
- Company: Dynamic tech company focused on cutting-edge solutions.
- Benefits: Competitive pay, flexible work environment, and growth opportunities.
- Why this job: Join a team making an impact in AI and data science.
- Qualifications: Experience in data analysis and basic knowledge of Python or SQL.
- Other info: Exciting role with potential for career advancement.
The predicted salary is between 40000 - 60000 £ per year.
Location: Brock Street, 3 days onsite
Duration: 12 months
Start Date: ASAP
Pay rate: £200 - £300 per day PAYE
Responsibilities
- Working with the team to prototype human rating and semi-automatic model evaluation protocols.
- For high stake and/or high complexity protocols, conduct small-to-medium scale in-house human rating on generated content.
- Working with engineers to identify and summarize model gaps based on the above evaluation.
- Working with engineers to identify data needed to close those gaps and mine such data to prepare training data for the next iteration of model training.
- Working with PDO teams to scale up validated evaluation protocols, including coordination and auditing.
Skills
- Verbal and written communication skills, problem solving skills, and interpersonal skills.
- Attention to details and an aptitude for experimental investigations.
- Basic ability to work independently and manage one’s time.
- Basic knowledge of Python, Unix, and SQL.
- Basic knowledge of computer vision and generative models.
Must have
- Data Analysis Experience
- Python or SQL experience
Education/Experience
- Associate's degree or equivalent training required in Computer Science, Electronic Engineering, Physics, Bioinformatics, or other STEM subjects.
- Prior industrial experience in software development and testing and/or research experience in human computer interaction are preferred.
Business Systems Analyst employer: Trust In SODA
Contact Detail:
Trust In SODA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Systems Analyst
✨Tip Number 1
Network like a pro! Reach out to people in your field on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can help you land that Business Systems Analyst role.
✨Tip Number 2
Prepare for those interviews by practising common questions related to data analysis and Python. We suggest doing mock interviews with friends or using online platforms to get comfortable talking about your skills and experiences.
✨Tip Number 3
Showcase your projects! If you've worked on any relevant projects, make sure to discuss them during interviews. We love seeing how you’ve applied your knowledge of SQL or Python in real-world scenarios.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for talented individuals like you to join our team!
We think you need these skills to ace Business Systems Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Business Systems Analyst role. Highlight your relevant experience in data analysis, Python, and SQL, and don’t forget to showcase your problem-solving skills and attention to detail!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. Mention specific projects or experiences that relate to the responsibilities listed in the job description.
Show Off Your Skills: Don’t be shy about your technical skills! If you’ve got experience with computer vision or generative models, make sure to mention it. We love seeing candidates who can bring something extra to the table.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves!
How to prepare for a job interview at Trust In SODA
✨Know Your Tech
Make sure you brush up on your Python, SQL, and any relevant tech skills before the interview. Be ready to discuss how you've used these tools in past projects or roles, as this will show your practical experience and understanding.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in previous roles. Think about specific challenges you faced, the steps you took to resolve them, and the outcomes. This will demonstrate your analytical thinking and ability to work independently.
✨Communicate Clearly
Since verbal and written communication skills are key for this role, practice explaining your past experiences clearly and concisely. Use the STAR method (Situation, Task, Action, Result) to structure your answers and keep them focused.
✨Understand the Role's Responsibilities
Familiarise yourself with the responsibilities listed in the job description. Be prepared to discuss how your background aligns with tasks like prototyping evaluation protocols and working with engineers. Showing that you understand the role will set you apart from other candidates.