At a Glance
- Tasks: Drive impactful decision-making through advanced analytics and data engineering.
- Company: Join a dynamic team supporting USAFRICOM with innovative data solutions.
- Benefits: Competitive salary, security clearance opportunities, and professional growth.
- Other info: Collaborate with military personnel and contribute to national security efforts.
- Why this job: Make a real impact by transforming complex data into actionable insights.
- Qualifications: 4+ years in data engineering and experience with big data technologies.
The predicted salary is between 60000 - 80000 € per year.
We are seeking a highly motivated Data Scientist to support USAFRICOM, driving impactful, data-driven decision-making through the application of advanced analytics and data engineering best practices. In this role, you will process, store, and quantitatively exploit Publicly Available Information (PAI) and Commercially Available Information (CAI), develop and implement machine learning models and automated analytics across multi-source datasets.
You will conduct exploratory data analysis (EDA), perform large-scale data queries, and build scalable ETL pipelines using tools and languages such as Python, Spark, Synapse, and Neo4j in an Azure cloud environment to transform complex data into actionable insights. A core responsibility includes ensuring compliance with data security, regulatory requirements, and Intelligence Community tradecraft standards while maintaining high data quality.
You will clean, organize, integrate, and maintain data models and develop dynamic visualizations, dashboards, and reports that clearly communicate findings to both technical and non-technical stakeholders. Working closely with military personnel, partner nations, policy makers, and cross-functional teams, you will identify data needs, translate requirements into analytical solutions, and deliver fused intelligence products that support mission objectives.
You will document analytic methodologies, balance accuracy with operational timelines, and provide formal and informal briefings, presentations, and decision-support materials. Additionally, you will conduct customer outreach, track stakeholder satisfaction, and contribute to reporting and accountability mechanisms.
As a subject matter expert in data analysis and PAI and CAI, you will research and recommend emerging tools, techniques, and technologies to enhance analytical capabilities. You will participate in national and international meetings, committees, and evaluations of analytical tools and software, supporting continuous improvement of mission systems.
This role requires adherence to strict security protocols, including Intelligence Community directives and operational security measures, and may involve the use of advanced collection techniques within approved environments. You will leverage the ability to operate independently, synthesize complex information into clear insights, and deliver high-quality analytical products in support of strategic and operational priorities.
Qualifications
- 4+ years of experience in data engineering, including ETL development, data modeling, data integration, and geospatial datasets
- 4+ years of experience using big data technologies, such as Spark, Elastic, or Snowflake
- Experience with programming languages such as Python
- Experience working within the IC and DoD joint environment
- Knowledge of automation, artificial intelligence (AI), and machine learning (ML) techniques
- Ability to manage multiple projects on tight deadlines while clearly conveying technical concepts to non-technical audiences
- Ability to work collaboratively across teams to achieve objectives, and translate stakeholder needs into actionable solutions
- TS/SCI clearance
- HS diploma and 8+ years of experience in mathematics, statistics, or data science, or Associate's degree in Mathematics, Statistics, Engineering, or Data Science and 4+ years of experience in mathematics, statistics, or data science
Preferred Qualifications
- Experience with intelligence oversight policies and data governance standards
- Experience with cloud-based data solutions in the Azure ecosystem
- Experience with graph databases like Neo4j or Cosmos DB
- Experience with natural language processing (NLP) and automated analytics
- Experience implementing ML or AI solutions
- Possession of excellent analytical skills for querying and interpreting large data sets
- Possession of excellent verbal and written communication skills
- Possession of excellent organizational and client-facing skills
- Bachelor's degree in Mathematics, Statistics, Engineering, or Data Science
Clearance
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
EEO Statement
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
Data Scientist in London employer: Booz Allen Hamilton
As a Data Scientist at our organisation, you will thrive in a dynamic work culture that values innovation and collaboration, particularly within the unique context of supporting USAFRICOM. We offer competitive benefits, opportunities for professional growth, and the chance to work with cutting-edge technologies in an Azure cloud environment, all while contributing to meaningful missions that impact national security. Join us to be part of a team that not only values your expertise but also fosters a supportive environment for continuous learning and development.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with data science. LinkedIn is your best mate here; connect, engage, and don’t be shy to ask for informational chats. You never know where a simple conversation might lead!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, Spark, or machine learning. Use platforms like GitHub to share your code and visualisations. This gives potential employers a taste of what you can do!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate with both technical and non-technical stakeholders. Mock interviews can really help!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented data scientists. Tailor your application to highlight your experience with ETL development and big data technologies, and let us see how you can contribute to impactful decision-making!
We think you need these skills to ace Data Scientist in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Data Scientist role. Highlight your experience with Python, ETL development, and any big data technologies you've used. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your background aligns with our mission at StudySmarter. Don’t forget to mention any relevant projects or achievements!
Showcase Your Analytical Skills:In your application, include examples of how you've tackled complex data problems in the past. Whether it's through exploratory data analysis or building scalable ETL pipelines, we want to see your thought process and results!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your materials in one go. Let’s get your application rolling!
How to prepare for a job interview at Booz Allen Hamilton
✨Know Your Data Tools
Make sure you brush up on your knowledge of Python, Spark, and Neo4j. Be ready to discuss how you've used these tools in past projects, especially in relation to ETL development and data modelling. Showing familiarity with the Azure cloud environment will definitely give you an edge!
✨Showcase Your Analytical Skills
Prepare to talk about specific examples where you've conducted exploratory data analysis or built scalable ETL pipelines. Highlight any machine learning models you've developed and be ready to explain the impact of your work on decision-making processes.
✨Communicate Clearly
Since you'll be working with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. Think of examples where you've successfully communicated findings through visualisations or reports, as this will demonstrate your ability to bridge the gap between data and actionable insights.
✨Understand Compliance and Security
Familiarise yourself with data security protocols and Intelligence Community standards. Be prepared to discuss how you've ensured compliance in previous roles, as this is crucial for the position. Showing that you take data governance seriously will reflect well on your candidacy.
