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Data Science Analyst

JP/HQ00031613
£ 35000.00 - £ 74000.00 per annum

Consultant

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Juliette Palmer-Cowell

Recruitment Consultant

Juliette on the recruitment industry:

Recruitment is a busy, fast paced industry that requires good people skills, accurate knowledge and a sense of humour! 

Matching excellent candidates with quality clients is what it’s all about.   

You should speak to me about:

White collar temporary roles within the house building sector

You should speak to me because:

  • I pride myself on listening to the exact requirements of clients and candidates to enable me to place people in the right roles

  • I find the house building industry interesting and I keep up to date with all the latest news

  • I am approachable and honest and will always give my clients and candidates 100% effort

Interesting fact about me:

I love fast cars and took part in the Porsche Guinness World Record event at Silverstone

I love live music and enjoying going to festivals  

More
Analysis
  • Data Science; Visualisation/Big Data
  • Understanding of opportunistic or APT based kill chains and mitigation techniques; Reconnaissance, Vulnerability research, Exploitation, Exfiltration and Evasion Techniques
  • Knowledge of Malware/Crimeware threats
  • Knowledge of analytical tools such as; R, Spark, ELK stack and Splunk
  • Knowledge in Machine learning or a background in mathematics
  • Experience with Visualisation tools such as; Gephi, Splunk, Kibana, BT Saturn
  • Ability to hypothesize attack scenarios to then design suitable detection and mitigation countermeasures
  • Knowledge of real-time, big-data processing; e.g. Spark, MapReduce, Hive, Impala, Flume, Kafka, Oozie
  • Ability to identify useful sources of OSINT and corporate data to assist with developing cyber capabilities
 
Networking
  • Network Fundamentals
  • Broad understanding of Network protocols (Ethernet, MPLS, VPN, IP, Routing Protocols, RADIUS) with particular focus on transport protocols (e.g. TCP/UDP) and application protocols (e.g. HTTP, SSL/TLS, DNS).
  • Knowledge of network topologies and common services (e.g. Botnet C&C, NAT)
  • Understanding of national scale networks and how routing happens on that scale
 
Security
  • Physical Security
  • System Security
  • Cryptography
  • Appreciation of Confidentiality, Integrity, Availability/Authentication and their role in Security management
  • Vulnerability research with reverse engineering, penetration testing and ethical hacking
  • Comprehensive knowledge of operating system security and associated network/platform design, hardening and deployment
  • Cyber-security and certification such as; CISSP, SANS GIAC, Security+, Network+, Linux+, MCSE, CEH, CCNA or SSCP
  • Knowledge of how Netflow is generated / how Intrusion Detection & Prevention works
  • Firewall theory and packet analysis
 
Software
  • Applied knowledge leveraging scripting skills (Python, Perl, Bash) to find innovative approaches to problems.
  • Knowledge of Scala, Java or C
  • Software lifecycle, issue management and version control technologies and practices; e.g. Git (using Git Flow), Stash/Bitbucket, Jira, Scrum/Kanban
 
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