Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Principal Security Data Analyst

Oracle
Birmingham
7 months ago
Applications closed

Related Jobs

View all jobs

Principal Product Data Scientist

Principal Machine Learning Engineer

Principal Machine Learning Engineer

Executive Director / Principal Machine Learning Engineer

Principal Machine Learning Engineer

Principal Machine Learning (ML) Developer

Oracle’s Software Assurance organization has the mission is to make application security and software assurance, at scale, a reality. We are a diverse and inclusive team of architects, researchers, and engineers, combining our unique perspectives and expertise to create secure and innovative solutions to complex challenges. With the resources of a large enterprise and the agility of a start-up, we are working on a greenfield software assurance project.


Work You’ll Do

We are seeking a Security Data Analyst to join our team. This role will combine data analysis, security research, and development skills where you will be responsible for designing, developing a platform capable of analyzing large datasets for security and compliance requirements. You will leverage your expertise in cybersecurity to proactively identify and address emerging threats, ensuring that secure coding practices are seamlessly integrated into every stage of development.


What You’ll Bring

  • Bachelor’s degree in computer science, Engineering, or a related field (or equivalent work experience).
  • 5+ years of experience in software/platform development/engineering from front end (web), mobile, back end, ad tech, or analytics dataflows backgrounds.
  • Extensive experience in dataflows, or similar roles in data management with proven experience building automated and scalable platforms for data-intensive applications.
  • Experience with navigating and handling large data sets and the ability to design and implement scalable and maintainable systems
  • Strong background in API development and associated architectural patterns such as REST or gRPC
  • Programming experience in Python, Go, Java, or similar.
  • Experience with data science concepts such as data preparation, exploration, modelling and the ability to apply this process when handling structured or unstructured data
  • Confident with using common data science tooling such as Jupyter notebooks, pandas, matplotlib, seaborn, numpy
  • API testing and security tools: Postman, Burp Suite, OWASP ZAP, etc.
  • Strong knowledge of database management systems (DBMS) such as MySQL
  • Hands-on experience with security and compliance frameworks and standards.
  • Knowledge of performance optimization techniques for mobile applications, including memory, CPU and network efficiency.
  • Excellent problem-solving and analytical skills.
  • Strong collaboration and communication skills, with the ability to work in cross functional teams and explain complex technical concepts to non-technical stakeholders.


Nice to Have:

  • Experience with OCI cloud-based services
  • Experience with machine learning or AI in security applications.
  • Experience in Agile methodologies and using project management tools like JIRA and confluence.
  • Knowledge of Software Assurance programs

Career Level - IC5


Responsibilities:

  • Architect and develop a secure, high-performance platform to ingest, parse, and analyze large volumes of API data stored in a MySQL database.
  • Work closely with internal and client teams to analyze, define and implement data rules and data flows, translating these into an auditable tool.
  • Scope and execute threat analysis to research, evaluate, track, and manage information security threats and vulnerabilities in data flows.
  • Ensure the tooling is secure by collaborating with architects and security teams to implement best practices for compliance, data privacy, and protection, while integrating tools and frameworks to assess APIs against OWASP and other relevant security standards (NIST, ISO-27001, PCI-DSS, HIPAA, FedRAMP)
  • Automate security and compliance controls into the platform for continuous monitoring and reporting.
  • Execute MySQL queries to ensure data integrity and consistency
  • Create intuitive dashboards and reports for stakeholders.
  • Create tools to help engineering teams identify security-related weaknesses
  • Stay up to date with the latest trends and technologies, contributing to ongoing improvements of platform architecture and best practices.
  • Maintain clear, comprehensive documentation on the platform architecture, services, and technical decisions to support internal teams and future development.
  • Mentor junior engineers and provide technical guidance.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.