At a Glance
- Tasks: Gain hands-on experience in data roles and contribute to real projects.
- Company: Join Datalynx, a leading UK data services provider with over 20 years of expertise.
- Benefits: Earn £30,000 pro-rata, enjoy hybrid work, and receive training and feedback.
- Other info: Opportunities for growth and potential future roles based on performance.
- Why this job: Kickstart your data career with practical experience and mentorship from industry professionals.
- Qualifications: Ideal for STEM graduates or those with relevant technical qualifications or experience.
The predicted salary is between 30000 - 30000 £ per year.
A gateway to a career in data.
Location: Hybrid (Weekly requirement onsite in London)
Salary: £30,000 pro-rata
Start Date: 1st September 2026
Duration: 4 month placement
Applications are now open for the 2026 Datalynx Academy, a four-month paid placement designed for those starting their career in data, looking for hands-on experience.
About Us
As part of CACI, Datalynx is a market‑leading UK data services provider with more than 20 years’ experience specialising in secure, end‑to‑end data migration, integration, data quality and data architecture solutions. We partner with public sector organisations, including the Home Office, UK police forces and law enforcement, as well as private enterprises and software vendors to solve complex data challenges with precision and confidence.
The Datalynx Academy
The Datalynx Academy is an innovative programme designed for individuals who want to gain practical experience working with data and explore potential career pathways within the field. Successful candidates will work alongside our industry professionals, gaining knowledge and insight into a range of data‑driven roles and functions while contributing to real project tasks and working across Datalynx’s current portfolios in the Home Office, policing and data migration. As part of the programme, candidates will receive access to training and regular feedback on their performance which can be used to further develop their learning and career progression. The placements issued through the Academy will comprise four months of paid employment, with a mixture of home‑based and on‑site working. Candidates will also receive pro‑rata leave calculated from an annual baseline of 25 days. The programme does not guarantee a permanent role, but strong performance may lead to further opportunities.
Who Should Apply
This is an excellent opportunity for someone serious about pursuing a data focused career. We’d love to hear from you if you have either:
- A STEM degree (final year or recently graduated)
- Relevant technical qualifications
- Or transferable experience from the workplace
During the placement, you will have the opportunity to rotate across a range of data focused roles including Data Migration, Data Engineering, Data/Business Analysis, Data Architecture & DevOps Engineering. The focus of your placement may evolve in line with your strengths and interests.
Essential What We’re Looking For:
- Curious problem solvers: Excited by challenges and ready to find innovative solutions.
- Motivated and eager to learn: Committed to developing new skills and growing within the team.
- Team players: Friendly and able to work collaboratively in a fast‑paced environment.
- Passionate about technology: Keeping pace with new technology trends.
Desirable Experience Of The Following Is Beneficial, But Not Essential:
- Microsoft 365 applications (Word, Excel, PowerPoint, Power Bi)
- Programming languages such as Python, Bash or PowerShell
- SQL or other database query languages
- Cloud platforms such as AWS or Azure
Due to the industries we work in, we require all our team to be able to obtain security clearance. To qualify for this, you must be a British passport holder and have lived permanently in the UK for the last 5 years.
Recruitment Timeline
- April to May 2026: Initial telephone interviews completed.
- June 2026: Assessment day and final interviews completed.
- End of June 2026: Job offers made and accepted.
- 1st September - 31st December 2026: Placement period.
Equal Opportunities
CACI is proud to be an equal opportunities employer. Embracing the diversity of our people, we are on a journey to build a truly inclusive work environment where no one is treated less favourably due to ethnic origin, age, gender, veteran status, religion or belief, sexual orientation, marital status, and disability or health condition, actively working to prevent discrimination. At CACI, our diversity and inclusion groups provide platforms for individuals to connect and foster a sense of belonging. These groups include LGBTQ+, Women In Tech and our partnership with the National Autistic Society. As a Disability Confident employer, we will provide reasonable adjustments in the recruitment process where requested. Offer an interview to people with health conditions and disabilities, who meet the minimum criteria for a role. Our people are unique and we encourage and support them, to be confident in contributing to our inclusion journey.
Data Analyst (4 Month Academy Placement Scheme) employer: TargetJobs UK
At targetjobs UK, we pride ourselves on being an excellent employer, offering a supportive work culture that fosters innovation and collaboration. Our Graduate Fire Engineer role not only provides competitive benefits such as 25 days holiday and flexible working options but also presents unique opportunities for professional growth in the thriving Cherwell District. Join us to make a meaningful impact in fire safety while enjoying a balanced work-life environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst (4 Month Academy Placement Scheme)
✨Get Involved in Data Communities
Join local data science meetups or online communities like Kaggle, where you can showcase your skills through competitions and collaborate with others. Being part of these groups not only boosts your visibility but also opens up potential placement opportunities!
✨Leverage University Career Services
Don’t forget to check in with your university’s career services! They often have exclusive placement opportunities, workshops, and networking events tailored for data science students that can help you land that sweet gig at TargetJobs UK.
✨Show Off Your Projects
Create a public portfolio or blog where you can share your data science projects. This not only demonstrates your skills but also gives potential employers like TargetJobs UK a taste of what you can do! Plus, it’s a great conversation starter in interviews.
✨Connect with Professionals on LinkedIn
Reach out to data science professionals on LinkedIn and ask for informational interviews. Get to know their journeys and share your interest in placements. This approach makes you memorable and could open doors to opportunities at places like TargetJobs UK.
We think you need these skills to ace Data Analyst (4 Month Academy Placement Scheme)
Some tips for your application 🫡
Show off Your Data Skills:As a budding data scientist, we want to see your hands-on experience. Make sure your CV highlights any relevant projects you've worked on, especially those involving data analysis or machine learning. Include any programming languages you're proficient in, like Python or R, and don't forget to mention tools like TensorFlow or SQL that you’ve used!
Craft a Passionate Cover Letter:For a placement, your enthusiasm and eagerness to learn mean loads to us! In your cover letter, express what excites you about data science and how it aligns with your aspirations. Share specific examples of what you've learned so far – whether it's courses, personal projects, or even data challenges you've tackled!
Make Your Projects Pop:We love seeing practical examples of your work, so if you have a portfolio, now's the time to shine! Include detailed descriptions of your projects, the data sources you used, the challenges you faced, and what you achieved. If possible, share links to your GitHub or a personal website showcasing your work – it adds that extra touch!
Demonstrate Statistical Knowledge:Data science isn't just about coding; it's also about understanding the stats behind the algorithms. Be sure to highlight any coursework or relevant certifications you have in statistics or data analysis on your CV. It’ll show us you’ve got the theoretical background to complement your practical skills!
How to prepare for a job interview at TargetJobs UK
✨Master Your Data Tools
For a data science placement, it's crucial to get comfy with tools like Python, R, or SQL. Brush up on libraries like Pandas and NumPy, as you might be thrown some technical questions during the interview that require real-time coding or problem-solving.
✨Showcase Your Projects
Bring along a portfolio of your data projects, especially if they're relevant to TargetJobs UK. Whether it's a Kaggle competition or a personal project, showing off your practical work can really set you apart and demonstrate your hands-on experience.
✨Prepare for Case Studies
Interviews in data science often include case study questions. Be ready to walk through your thought process on how to approach a data problem, what analysis you'd do, and how you'd interpret the results. This shows your analytical thinking and understanding of data.
✨Express Your Enthusiasm
Since it's a placement, they're looking for potential and enthusiasm just as much as skills. Be sure to express why you're passionate about data science, how you're eager to learn, and why you want to join TargetJobs UK specifically. Let your motivation shine through!
