At a Glance
- Tasks: Process and analyse data to support decision-making and develop machine learning models.
- Company: Join a leading organisation working with military and policy makers in a collaborative environment.
- Benefits: Competitive salary, opportunities for growth, and the chance to work on impactful projects.
- Other info: Work in a dynamic setting with excellent career advancement opportunities.
- Why this job: Make a difference by turning data into actionable insights and innovative solutions.
- Qualifications: 4+ years in data engineering and experience with big data technologies like Spark and Python.
The predicted salary is between 99000 - 225000 € per year.
Responsibilities:
- Process, store, and exploit publicly available information (PAI) and commercially available information (CAI) to support data‑driven decision making.
- Conduct exploratory data analysis, perform large‑scale data queries, and build scalable ETL pipelines using Python, Spark, Synapse, and Neo4j in an Azure cloud environment.
- Develop and implement machine learning models and automated analytics across multi‑source datasets.
- Clean, organize, integrate, and maintain data models; develop dynamic visualizations, dashboards, and reports that communicate findings to technical and non‑technical stakeholders.
- Collaborate with military personnel, partner nations, policy makers, and cross‑functional teams to identify data needs, translate requirements into analytical solutions, and deliver fused intelligence products.
- Document analytic methodologies, balance accuracy with operational timelines, and provide briefings, presentations, and decision‑support materials.
- Conduct customer outreach, track stakeholder satisfaction, and contribute to reporting and accountability mechanisms.
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 an associate’s degree in Mathematics, Statistics, Engineering, or Data Science and 4+ years of experience in mathematics, statistics, or data science.
Nice to Have:
- Experience with intelligence oversight policies and data governance standards.
- Experience with cloud‑based data solutions in the Azure ecosystem.
- Experience with graph databases such as Neo4j or Cosmos DB.
- Experience with natural language processing (NLP) and automated analytics.
- Experience implementing ML or AI solutions.
- Excellent analytical skills for querying and interpreting large data sets.
- Excellent verbal and written communication skills.
- 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.
Compensation:
Projected compensation range for this position is $99,000.00 to $225,000.00 annually (USD). Salary is determined by location, education, skills, and experience.
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 Peterborough employer: Booz Allen Hamilton
As a leading employer in the data science field, we offer a dynamic work environment that fosters collaboration with military personnel and cross-functional teams, ensuring that your contributions have a meaningful impact. Our commitment to employee growth is reflected in our investment in training and development opportunities, alongside competitive compensation packages that reward your expertise. Located in a vibrant area, we provide a unique chance to engage with cutting-edge technologies while supporting critical decision-making processes.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Peterborough
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the data science field. We can’t stress enough how valuable personal connections can be when it comes to landing that dream job.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving Python, Spark, or machine learning. We recommend using platforms like GitHub to share your code and visualisations. This way, potential employers can see your skills in action, which is way more impressive than just a CV!
✨Ace the Interview
Prepare for technical interviews by brushing up on your data engineering concepts and practising coding challenges. We suggest using mock interviews to get comfortable with the format. Remember, it’s not just about answering questions; it’s about showing how you think through problems!
✨Apply Through Our Website
Don’t forget to check out our job listings and apply directly through our website! We make it easy for you to find roles that match your skills and interests. Plus, applying directly shows your enthusiasm and commitment to joining our team!
We think you need these skills to ace Data Scientist in Peterborough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with data engineering, ETL development, and big data technologies like Spark. We want to see how your skills align with the responsibilities listed in the job description.
Showcase Your Projects:Include specific examples of projects where you've used Python, Spark, or Neo4j. We love seeing real-world applications of your skills, especially if they relate to data-driven decision making.
Communicate Clearly:When writing your cover letter, keep it clear and concise. We appreciate candidates who can convey technical concepts in a way that’s easy for non-technical stakeholders to understand.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and get you into our system quickly.
How to prepare for a job interview at Booz Allen Hamilton
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, Spark, and Neo4j. Brush up on your ETL processes and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Analytical Skills
Prepare to demonstrate your ability to conduct exploratory data analysis and build scalable data models. Bring examples of your previous work that highlight your analytical skills and how they’ve led to data-driven decisions.
✨Communicate Clearly
Since you'll be working with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. Think about how you can convey your findings through dynamic visualisations and reports.
✨Collaborate and Connect
Be ready to discuss your experience working in cross-functional teams and how you’ve collaborated with various stakeholders. Highlight any specific instances where you translated requirements into actionable solutions, especially in a military or joint environment.
