At a Glance
- Tasks: Support analytics projects using data mining and machine learning to enhance cybersecurity.
- Company: Join Pfizer's innovative team focused on protecting vital information assets.
- Benefits: Flexible working options, competitive salary, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on teamwork and adaptability.
- Why this job: Make a real impact in cybersecurity while working with cutting-edge technologies.
- Qualifications: BS in relevant fields; entry-level experience in analytics and a collaborative mindset.
The predicted salary is between 40000 - 50000 £ per year.
The Enterprise Platforms & Security (EP&S) team delivers capabilities for Pfizer, supporting enterprise applications and critical business processes. EP&S secures Pfizer's important information assets through world-class controls and protections, enabling business results by making security an enabler.
The Sr. Associate, Cybersecurity Analytics will be a key contributor in the Cybersecurity Analytics team, providing big data capabilities, visualizations, advanced analytics, requirements consultancy, and subject matter expertise to protect Pfizer from the evolving cyber threat landscape. This role has a data science focus (cyber data & analytics) and will collaborate closely with the Global Information Security organization.
RESPONSIBILITIES AND REQUIREMENTS
- Support analytics and predictive modeling projects using data mining, statistical methods, and machine learning techniques on massive data sources to solve real cybersecurity use cases.
- Develop and improve existing ways of merging petabyte-scale data sources to understand interactions within cybersecurity logs.
- Assist teams in Global Information Security to understand necessary data sources and their analysis.
- Be a Splunk, Google Chronicle, and analytics expert, assisting other teams and junior colleagues.
- Design new visualizations to make descriptive analyses more intuitive and informative.
- Execute periodic review functions to ensure services operate as designed and identify inaccuracies in support documentation.
- Develop and execute project plans to implement analytics improving Pfizer’s global cybersecurity posture.
- Demonstrated experience in an agile work environment with a collaborative mindset.
BASIC QUALIFICATIONS
- BS in Computer Science, Mathematics, Data Science, Physics, Chemistry, or Engineering; MS preferred.
- Entry-level experience in the analytics field.
- Willingness to contribute fresh and innovative ideas.
- High technical aptitude; ability to quickly learn new skills.
- Team-oriented with excellent oral and written communication skills.
- Excellent analytic and problem-solving skills.
- Data science (cyber data & analytics).
PREFERRED QUALIFICATIONS
- Entry-level experience in Splunk, Google Chronicle, working with petabyte-scale data analysis, Python, and cybersecurity.
- A basic understanding of network infrastructure and cybersecurity tools.
Work Location Assignment: Sandwich (Kent, UK) with working flexibility options.
Cybersecurity Data Scientist — Analytics & Visualization employer: Pfizer Inc.
Pfizer is an exceptional employer that fosters a collaborative and innovative work culture, particularly within the Cybersecurity Analytics team. Located in Sandwich, Kent, employees benefit from flexible working options and opportunities for professional growth in a cutting-edge field that directly impacts patient lives. With a focus on enabling security as a business enabler, Pfizer empowers its workforce to tackle real-world challenges using advanced analytics and data science techniques.
StudySmarter Expert Advice🤫
We think this is how you could land Cybersecurity Data Scientist — Analytics & Visualization
✨Tip Number 1
Network, network, network! Get out there and connect with people in the cybersecurity field. Attend meetups, webinars, or even local events. You never know who might have a lead on a job or can give you insider info about the company culture.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data visualisation projects or any predictive modelling work you've done. This is your chance to demonstrate your expertise in analytics and how you can contribute to Pfizer's mission.
✨Tip Number 3
Prepare for interviews by brushing up on common cybersecurity scenarios and analytics challenges. Be ready to discuss how you would tackle real-world problems using your data science skills. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the team at Pfizer.
We think you need these skills to ace Cybersecurity Data Scientist — Analytics & Visualization
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your experience in data science, analytics, and any relevant cybersecurity projects. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about cybersecurity and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills:Don’t forget to mention your experience with tools like Splunk and Google Chronicle. If you've worked with petabyte scale data or have coding skills in Python, let us know! We’re keen on seeing your technical prowess.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Pfizer Inc.
✨Know Your Cybersecurity Basics
Before the interview, brush up on your knowledge of cybersecurity concepts and tools like Splunk and Google Chronicle. Being able to discuss how these tools work and their relevance in protecting data will show that you're not just a data scientist but also understand the cybersecurity landscape.
✨Showcase Your Analytical Skills
Prepare to discuss specific projects where you've used data mining, statistical methods, or machine learning techniques. Be ready to explain your thought process and the impact your analyses had on real-world problems, especially in cybersecurity contexts.
✨Visualisation is Key
Since the role involves creating intuitive visualisations, think of examples where you've designed effective data visualisations. Bring along any portfolio pieces or examples that demonstrate your ability to make complex data understandable and actionable.
✨Emphasise Collaboration and Agility
The job requires a collaborative mindset and adaptability. Prepare examples from your past experiences where you worked in teams, adapted to changes quickly, or solved problems proactively. This will highlight your fit for the agile work environment they value.
