Rating
- 1. Please give an overview of your role and what this involves on a day-to-day basis:
- 2. Have you learnt any new skills or developed existing skills?
- 3. To what extent do you enjoy your programme?
- 4. How well organised/structured is your programme?
- 5. How much support do you receive from your employer?
- 6. How much support do you receive from your training provider when working towards your qualifications?
- 7. How well do you feel that your qualification (through your training provider) helps you to perform better in your role?
- 8. Are there extra-curricular activities to get involved in at your work? (For example, any social activities, sports teams, or even professional networking events.)
- 9a. Would you recommend Unilever to a friend?
- 9b. Why?
- 10. What tips or advice would you give to others applying to Unilever?
Currently collaborating with business stakeholders to integrate and optimize artificial intelligence technologies, enhancing both processes and outcomes. Additionally, responsible for managing the AI Inventory to maintain a comprehensive overview of the organization's AI capabilities and resources, critical for effective strategic planning and operational efficiency.
Gained a deeper understanding of statistical methods and their applications in real-world data, crucial for deriving meaningful insights, through AI strategy. Learning and applying various machine learning techniques, from basic regression models to more complex algorithms like neural networks. Improved my ability to communicate data insights visually, using tools like Power BI, and matplotlib in Python.
I find the program highly engaging and rewarding, as it allows me to apply theoretical knowledge in practical scenarios and continuously expand my skill set in data science. Also, it's allowed me to meet with many great leaders in this field, and learn about the new applications of AI at large organisations.
4 days a week work, 1 day a week study. Very agile and flexible, which is a great benefit.
Receive training in data science, Given access to a multitude of AI tools, that has enabled me to create new ideas.
I receive substantial support from my training provider, including regular guidance, access to resources, and feedback on my progress, which significantly aids in achieving my data science degree.
Through my qualification, I've developed a strong foundation in machine learning algorithms, which has been instrumental in optimizing our predictive models. This has directly contributed to more accurate forecasting and better decision-making processes within my team. Additionally, the hands-on projects and feedback from instructors have sharpened my problem-solving skills, making me more effective in addressing and resolving data-related issues in my role.
We play a great variety of board games
Yes
Great organisation structure, really creative and dedication work culture
Show your true self, be honest. Also, use the STAR technique when completing the interview.
Details
Degree Apprenticeship
Computer Science
London
May 2024