At a Glance
- Tasks: Lead AI automation projects and collaborate with stakeholders to design innovative solutions.
- Company: Join Intelix.AI, a forward-thinking company at the forefront of AI technology.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Other info: Be part of a team that values innovation and creativity in every project.
- Why this job: Make a real impact in the AI field while developing your skills in a dynamic environment.
- Qualifications: Experience in business analysis and a strong understanding of AI technologies required.
The predicted salary is between 45000 - 55000 £ per year.
Intelix.
AI is seeking a mid to senior Technical Business Analyst to lead agentic AI automation initiatives using Claude.
You will act as consultant, business analyst, product owner, tester and delivery lead across the full lifecycle, owning delivery from specification to deployed systems.
You will work directly with senior stakeholders to elicit requirements, map processes, and design agent and workflow solutions.
Strong judgement on AI output reliability and risk management is essential.
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Agentic AI Delivery Lead & Business Analyst employer: Intelix.AI
As a leading global asset manager, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to excel. With competitive compensation packages, including a generous bonus structure and comprehensive family healthcare, we are committed to supporting your professional growth through continuous learning opportunities and innovative projects. Join us in a pivotal role where you will lead transformative technology initiatives, making a significant impact in the investment compliance landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Agentic AI Delivery Lead & Business Analyst
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Agentic AI Delivery Lead & Business Analyst
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 Intelix.AI, 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 Intelix.AI. 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 Intelix.AI
✨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!
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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 Intelix.AI!
✨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.
