At a Glance
- Tasks: Join our Academy programme to explore a career in data with hands-on experience.
- Company: Datalynx is a vibrant data services provider linked to the Home Office and UK policing.
- Benefits: Enjoy a £30,000 salary pro rata, 25 days leave, and flexible working options.
- Why this job: Discover your potential in a supportive environment while making an impact in the data field.
- Qualifications: Open to those with technical degrees or equivalent; no prior work experience needed.
- Other info: Limited spaces available for 2025; all necessary equipment provided.
The predicted salary is between 18000 - 42000 £ per year.
Are you interested in a career in data? We are inviting applications for a paid placement suitable for individuals who are currently undertaking or have completed technical degrees or equivalent. No work experience is required.
Datalynx is a dynamic data services provider with strong links to the Home Office and policing across the UK. It is offering limited spaces in its Academy programme for 2025 to those who want to learn more about themselves and whether a career in this field is the right one for them.
- Salary: £30,000 pro rata with additional reasonable expenses.
- Leave: 25 days pro rata.
- Working arrangement: A mixture of home-based and on-site working.
- Equipment: You will be provided with necessary laptops, phones and other equipment.
Academy employer: Datalynx Ltd
Contact Detail:
Datalynx Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Academy
✨Tip Number 1
Research Datalynx and its connections with the Home Office and policing. Understanding their mission and values will help you align your interests and demonstrate genuine enthusiasm during any discussions.
✨Tip Number 2
Network with current or former participants of the Academy programme. They can provide valuable insights into the application process and what to expect, which can give you an edge in your approach.
✨Tip Number 3
Prepare thoughtful questions about the Academy programme and the data services industry. This shows your proactive attitude and eagerness to learn, making a positive impression on the interviewers.
✨Tip Number 4
Stay updated on current trends in data services and technology. Being knowledgeable about the latest developments can help you engage in meaningful conversations and showcase your passion for the field.
We think you need these skills to ace Academy
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights any relevant coursework or projects related to data. Even if you don't have work experience, showcase your technical skills and any academic achievements that demonstrate your potential in the field.
Craft a Compelling Cover Letter: Write a cover letter that expresses your enthusiasm for the Academy programme. Explain why you're interested in a career in data and how this opportunity aligns with your career goals. Be sure to mention any specific skills or experiences that make you a good fit.
Highlight Your Learning Mindset: Since no prior work experience is required, emphasise your willingness to learn and adapt. Discuss any relevant projects or coursework that demonstrate your ability to grasp new concepts quickly and your passion for the data field.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for spelling and grammatical errors, and ensure that your documents are well-organised and clearly formatted. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Datalynx Ltd
✨Research Datalynx
Before the interview, take some time to learn about Datalynx and its role in data services. Understanding their connection with the Home Office and policing will help you tailor your answers and show genuine interest in the company.
✨Showcase Your Technical Skills
Even if you don't have work experience, highlight any relevant projects or coursework from your technical degree. Be prepared to discuss how these experiences have equipped you with skills applicable to a career in data.
✨Ask Insightful Questions
Prepare thoughtful questions about the Academy programme and the opportunities it offers. This demonstrates your enthusiasm for the role and helps you assess if it's the right fit for you.
✨Be Yourself
Datalynx is looking for individuals who are eager to learn and grow. Be authentic during the interview; share your motivations and aspirations in the field of data, as this will resonate well with the interviewers.