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For Companies At a Glance
- Tasks: Join Deloitte to develop data solutions in defence and security using cutting-edge technologies.
- Company: Deloitte UK, a global leader in consulting and professional services.
- Benefits: Paid training, expert-led development, and career growth opportunities.
- Why this job: Make a real impact on projects that matter while earning and learning.
- Qualifications: STEM degree or equivalent experience in data science or engineering.
- Other info: Work in a dynamic environment with a focus on innovation and collaboration.
The predicted salary is between 36000 - 60000 £ per year.
Are you a STEM graduate or have a strong technical background? Ready to start an exciting career in data science and engineering? This is your opportunity to join Deloitte UK through AMS Skills Creation and make an impact on projects that matter.
We’re deliberate about hiring for potential. Your analytical mindset, clear communication and passion for data matter most. If you bring a growth mindset and the discipline to keep learning, we’ll invest in building the technical skills that set you up for long‑term success.
Begin with a 12‑week paid training program covering Python programming, data analysis, AI, machine learning, and cloud technologies like AWS. You’ll gain the skills that power today’s digital world and prepare for real‑world challenges.
After training, you’ll join the AI & Data Solutions practice within Deloitte, working in the defence and security sector. Here you’ll be working with clients in multi‑disciplinary teams to drive innovation and insight from their data, using cutting edge Machine Learning techniques; and building pipelines that ingest, transform, and enrich high volume and variety data into accessible, trusted information assets that can be used to derive actionable insights.
What You’ll Do
- Develop best practice programming principles: Python, OOP and testing.
- Data Science and Machine Learning: Train, evaluate and deploy machine learning models.
- Design and Build Data Infrastructure: Develop scalable data pipelines and implement ETL processes.
- Utilise Big Data Technologies: Apache Spark and PySpark.
- Cloud & Containerisation Technologies: Work with AWS, Dockerfile and Docker CLI.
- Data Warehousing: Collect, store and prepare data by using AWS services including Amazon DynamoDB, Amazon EMR, Amazon Kinesis and Amazon S3.
- Automation & Optimization: Streamline workflows and enhance performance.
- Collaboration: Partner with data scientists, engineers and business teams to deliver actionable insights using Agile methods and Jira.
- Develop deep understanding of the Defence and Security sector: Learn the broader context and domain to ensure successful AI and data solutions are delivered.
Essential Skills
- Degree in a STEM subject or equivalent technical experience in software development, data engineering, or data science.
- Strong analytical mindset and problem‑solving skills.
- Ability to communicate complex ideas clearly.
- Passion for data and continuous learning.
- Motivated by working with UK defence and security clients.
Benefits
- Paid Training: Earn while you learn.
- Expert‑Led Development: 12 weeks of structured training in data science and engineering.
- Career Growth: Join a global leader committed to your development.
- Impactful Work: Be at the heart of some of the biggest and most ambitious programmes undertaken to keep our country safe.
Location
Bristol - Although the Deloitte base office location will be Deloitte office in Bristol, most projects will be located in the Gloucester/Cheltenham area. Applicants should be expect to work from these locations. It is expected that you will work in a Deloitte office / on client site 5 days per week.
Security Criteria
Successful applicants will join the training program while Deloitte carries out onboarding and security checks for the role. Please note that this opportunity is contingent on passing Security Check (SC) & Developed Vetting (DV) clearance. Factors such as nationality (UK or dual), previous nationalities held, and place of birth, can impact your ability to gain clearance.
Essential: Willing and eligible to get Developed Vetting (DV) clearance (UK national, 10 years’ continuous UK residency). Candidates who do not meet DV criteria cannot be considered for this role.
Be part of a team shaping the future of data. Help us unlock the value of data to build a safer, fairer, and more prosperous UK.
Data Scientist / Data Engineer within Defence & Security – Deloitte via AMS Skills Creation employer: Alexander Mann Solutions
Contact Detail:
Alexander Mann Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist / Data Engineer within Defence & Security – Deloitte via AMS Skills Creation
✨Tip Number 1
Network like a pro! Reach out to current employees at Deloitte or those in the defence and security sector. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills. Dive into Python, machine learning, and data pipelines. We want to show them we’re not just passionate about data but also know our stuff!
✨Tip Number 3
Showcase your projects! Whether it’s a personal project or something from uni, having tangible examples of your work can really set us apart. Make sure to highlight how you’ve used data to solve real problems.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we can keep track of your progress and help you along the way!
We think you need these skills to ace Data Scientist / Data Engineer within Defence & Security – Deloitte via AMS Skills Creation
Some tips for your application 🫡
Show Your Passion for Data: When you're writing your application, let your enthusiasm for data shine through! Talk about any projects or experiences that sparked your interest in data science or engineering. We love seeing candidates who are genuinely excited about the field.
Tailor Your Application: Make sure to customise your application to highlight how your skills and experiences align with the job description. Mention specific technologies like Python, AWS, or machine learning techniques you've worked with. This shows us you’ve done your homework and are a great fit!
Keep It Clear and Concise: We appreciate clarity! Use straightforward language and avoid jargon where possible. Make your points clear and concise so we can easily see your qualifications and passion. A well-structured application makes a great first impression.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way to ensure your application gets to us directly. Plus, it’s super easy to navigate. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Alexander Mann Solutions
✨Know Your Tech
Brush up on your Python programming and data analysis skills. Be ready to discuss your experience with machine learning and cloud technologies like AWS. Showing that you understand the technical requirements will impress the interviewers.
✨Show Your Passion for Data
Make sure to convey your enthusiasm for data science and engineering. Share examples of projects or experiences where you've used data to solve problems. This will demonstrate your genuine interest in the field and align with their focus on hiring for potential.
✨Communicate Clearly
Practice explaining complex ideas in simple terms. Since clear communication is key, try to articulate your thought process during problem-solving scenarios. This will help the interviewers see how you can collaborate effectively with multi-disciplinary teams.
✨Understand the Defence & Security Sector
Do some research on the defence and security sector and be prepared to discuss how data science can impact this area. Showing that you have a grasp of the broader context will highlight your commitment to delivering actionable insights in this important field.