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- Tasks: Design and implement data science solutions while collaborating with diverse teams.
- Company: Join a leading tech company in Belfast, renowned for data and AI innovation.
- Benefits: Enjoy 35 days leave, flexible working, private health insurance, and gym contributions.
- Why this job: This role offers impactful work, a supportive culture, and opportunities for career progression.
- Qualifications: Strong Python and ML experience required; familiarity with Agile and Git is essential.
- Other info: Bonus skills include NLP, computer vision, and cloud-native tech.
Join a dynamic tech company at the forefront of data and AI innovation as they work with Hays to add a skilled Data Scientist to deliver impactful analytics solutions and collaborate with clients across diverse industries. Based close to Belfast City, this company has an excellent reputation and offers a work environment that fosters progression. Do you have strong Python and ML experience? Have you worked in an Agile environment? This could be the next step for you!
The following information provides an overview of the skills, qualities, and qualifications needed for this role.
Requirements:
Strong Python and ML experience.
Familiarity with Agile and Git.
Bonus: NLP, computer vision, cloud-native tech.
Key Responsibilities:
Design and implement data science solutions.
Collaborate with teams and stakeholders.
Apply machine learning and write clean, testable code.
Perks:
35 days leave + flexible working.
Private health insurance & pension.
Gym membership contribution.
Development support & hybrid setup.
If you\’re interested in this role, click \’apply now\’ to forward an up-to-date copy of your CV, or call us now.
If this job isn\’t quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.
Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C\’s, Privacy Policy and Disclaimers which can be found at (url removed)
Data Scientist employer: Hays Technology
Contact Detail:
Hays Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Make sure to showcase your Python and machine learning skills in any discussions or interviews. Be prepared to discuss specific projects where you've applied these technologies, as real-world examples can make a strong impression.
✨Tip Number 2
Familiarise yourself with Agile methodologies if you haven't already. Understanding how Agile works will not only help you fit into the team but also demonstrate your adaptability and willingness to collaborate effectively.
✨Tip Number 3
If you have experience with NLP or computer vision, be sure to highlight this during your conversations. These are valuable skills that could set you apart from other candidates and show your versatility in data science.
✨Tip Number 4
Network with current employees or alumni from the company. Engaging with them can provide insights into the company culture and expectations, which can be incredibly useful when preparing for interviews.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your strong Python and machine learning experience. Include specific projects or roles where you've applied these skills, especially in an Agile environment.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and AI. Mention how your background aligns with the company's goals and how you can contribute to their analytics solutions.
Showcase Relevant Projects: If you have experience with NLP, computer vision, or cloud-native technologies, be sure to include these in your application. Provide examples of how you've used these technologies in past projects.
Proofread and Format: Before submitting your application, carefully proofread your documents for any errors. Ensure that your CV and cover letter are well-formatted and easy to read, as this reflects your attention to detail.
How to prepare for a job interview at Hays Technology
✨Showcase Your Python and ML Skills
Be prepared to discuss your experience with Python and machine learning in detail. Bring examples of projects you've worked on, highlighting the specific techniques and algorithms you used.
✨Familiarise Yourself with Agile Methodologies
Since the company values Agile practices, brush up on Agile principles and be ready to discuss how you've applied them in previous roles. Share specific instances where Agile improved project outcomes.
✨Demonstrate Collaboration Skills
As a Data Scientist, you'll need to work closely with teams and stakeholders. Prepare to talk about how you've successfully collaborated in the past, focusing on communication and teamwork.
✨Prepare for Technical Questions
Expect technical questions related to data science, machine learning, and coding. Practice coding challenges and be ready to explain your thought process clearly during the interview.
