At a Glance
- Tasks: Drive discovery and delivery of precision software solutions for major enterprise accounts.
- Company: Cogna, a leader in AI solutions with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Join a dynamic team and participate in exciting end-to-end project lifecycles.
- Why this job: Make a real impact by solving complex problems with cutting-edge AI technology.
- Qualifications: Strong analytical skills and experience in client-facing roles.
The predicted salary is between 72000 - 88000 £ per year.
Cogna is seeking a Solutions Analyst to work with major enterprise accounts, driving discovery and delivery of precision software solutions. You will decompose problems, apply data and technical expertise, and maintain client-facing diplomacy to ensure value delivery.
You will participate in end-to-end project lifecycles, from seeking opportunities to definition, delivery and deployment, blending skills from Forward Deployed Engineering, Deployment Strategists, Customer Success and Value.
Enterprise AI Solutions Analyst (Hybrid) in London employer: Notion Capital
Notion Capital is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Greater London. With a focus on employee growth, we provide ample opportunities for professional development alongside competitive salaries, generous leave, and flexible hybrid work arrangements, making it an ideal place for those looking to make a meaningful impact in the AI-driven industry.
StudySmarter Expert Advice🤫
We think this is how you could land Enterprise AI Solutions Analyst (Hybrid) in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Enterprise AI Solutions Analyst (Hybrid) in London
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!
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Craft a Tailored Cover Letter:For a full-time role at Notion Capital, 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 Notion Capital. 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 Notion Capital
✨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
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✨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.
