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Mathematician CV vs Network Analytics Engineer Job
Updated: April 4, 2026

Mathematician CV vs Network Analytics Engineer Job

Explore how a mathematician's CV aligns with the requirements of a Network Analytics Engineer position at A.P. Moller - Maersk. Discover strengths and areas for improvement.

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Overall score
58 /100
Moderate matchLimited evidence
Evidence fit
60
ATS presentation
55
Confidence
70%
1Resume
2Job Description
3Fit Analysis for Network Analytics Engineer
Mathematician Resume
Lars Nielsen
Mathematician
Email: lars.nielsen@example.com
Phone: +45 12 34 56 78
Location: Copenhagen, Denmark
Summary

I am a mathematician with experience in a broad spectrum of fields such as software development, quantitative development and production planning and special interests in operations research, machine learning and any applications of mathematical modeling to real world problems. I am especially interested in applications of mathematical optimization to problems arising from energy systems. I am curious about applications of AI, and utilization of LLM to speed up software development. I am happy to dive into anything new and exciting, and work on problems that seem puzzling at first sight.

Experience
Research Associate
Sep 2021 - present
HUN-REN Institute for Computer Science and Control
Published research results in several journals, including D1 and Q1 publications in the area of mathematics, computer science and manufacturing, and presented the results on multiple domestic and international conferences. Contributed to applied research projects in manufacturing systems and management to manage uncertainty, using machine learning, statistics and stochastic optimization techniques. Developed and implemented a vehicle routing and scheduling software for the logistic operations of a regional electrical installation company.
Software Developer
Feb 2021 - Sep 2021
HUN-REN Institute for Computer Science and Control, Budapest, HU
Developed and implemented a cutting-plane algorithm for an integrated system configuration and layout planning problem in a collaborative research project with Hitachi as industrial partner, resulting in 79% decrease in production line planning time.
Quantitative Developer, Strategist
Jan 2020 - Feb 2021
Morgan Stanley, Budapest, HU
Revalidated, stress tested and remediated several derivative pricing models used by the Commodity Trading Desk of the Fixed Income Division as part of the Regulatory Modeling team.
Software Developer
Oct 2018 - Jan 2020
Ericsson R&D, Budapest, HU
Developed and maintained the CI/CD and build system used by the Component Based Architecture unit as part of the Tools&Builds team. Integrated static/dynamic syntax validation tools into the automated build and code review loop and developed a blue-green deployment scheme for the Jenkins build server with Nginx.
Education
Eotvos Lorand University
Doctor of Philosophy
Sep 2021 - present
Mathematics and Computer Science Absolved; Thesis submission and defense expected in 2026
Eotvos Lorand University
Master of Science
Sep 2018 - Jan 2021
Major: Applied Mathematics, Minor: Operations Research Relevant Coursework: Markov Chains, Stochastic Processes; Machine Learning; Artificial Intelligence; Continuous Optimization, Integer Programming; Combinatorial Optimization; Numerical Methods for ODEs
Eotvos Lorand University
Bachelor of Science
Sep 2015 - Jun 2018
Mathematics; Applied Mathematics Specialization Relevant Coursework: Operations Research; C++Programming; Numerical Analysis, Probability Theory; Statistics; Data Science
Skills
Python (numpy, pandas, scipy), C++, SQL, Matlab, Git, Docker, Azure cloud, APIs, Xpress, Gurobi, Linux, Power BI, Excel, Cloud computing, CI/CD, Containerization
Languages
Hungarian: native
English: fluent
Norwegian: intermediate
Danish: beginner
Network Analytics Engineer Job Description
Vacancy
Network Analytics Engineer · A.P. Moller - Maersk
Join a team that builds and strengthens the analytical and optimization foundation behind Maersk's global network planning, using data, modelling and advanced optimization algorithms.
Role
Network Analytics Engineer
Company
A.P. Moller - Maersk
Location
Copenhagen, Capital Region of Denmark, Denmark
Remote policy
On-site with flexible hybrid working
Employment type
Full-time
Responsibilities
  • Support key operational and strategic planning activities by preparing, analysing and reviewing planning outputs
  • Strengthen routing and container flow logic through targeted quantitative analysis
  • Identify data or logic gaps and propose improvements
  • Provide clear analytical insights
  • Maintain and refine small scripts for recurring metrics and reporting
  • Translate planning needs into user stories and acceptance criteria
  • Collaborate with planning, equipment, finance and technical teams
  • Communicate findings and convert feedback into enhancements
  • Support testing and sign off of new analytical features
  • Document updates to logic and processes
Must-have requirements
  • Master’s degree or PhD in engineering, mathematics, computer science or related field
  • Strong Python and SQL skills
  • Understanding of modelling and optimization principles
  • Ability to convert planning needs into user stories
  • Analytical strength to validate logic and troubleshoot issues
  • Proactive mindset with structured communication
  • Ability to collaborate across diverse functions
  • Discipline in testing, documentation and data quality assurance
Benefits
  • Access to world-class learning
  • Supportive leaders
  • Flexible hybrid working
  • Industry-leading benefits
  • Diverse, inclusive community
Tech stack
Python
SQL
Fit Analysis for Network Analytics Engineer
Warnings
  • The resume lacks explicit evidence for some must-have requirements such as 'Ability to convert planning needs into user stories' and 'Discipline in testing, documentation and data quality assurance'.
  • The resume does not explicitly mention 'Proactive mindset with structured communication'.
  • The resume does not provide strong evidence for 'Ability to collaborate across diverse functions'.
Section breakdown
Summary
14/22Counted
The summary reflects moderate alignment with the vacancy, mentioning experience in mathematical modeling and optimization, which aligns with the role's focus on analytical and optimization foundations.
Supporting evidence
  • Experience in operations research, machine learning, and mathematical optimization.
Missing evidence
  • Explicit mention of converting planning needs into user stories.
  • Proactive mindset with structured communication.
Improvement hint
Include more specific references to the vacancy's must-have requirements in the summary, such as user story conversion and structured communication.
Skills and ATS
12/18Counted
The skills section covers Python and SQL, which are critical for the vacancy, but lacks explicit mention of some other must-have skills like structured communication and collaboration.
Supporting evidence
  • Python (numpy, pandas, scipy)
  • SQL
Missing evidence
  • Structured communication
  • Collaboration across diverse functions
Improvement hint
Add more skills related to communication and collaboration to strengthen ATS alignment.
Experience
20/28Counted
The candidate's experience in research and software development provides strong support for the vacancy's requirements, particularly in optimization and analytical tasks.
Supporting evidence
  • Developed and implemented a vehicle routing and scheduling software.
  • Published research results in mathematics and computer science.
Missing evidence
  • Direct evidence of converting planning needs into user stories.
  • Discipline in testing, documentation, and data quality assurance.
Improvement hint
Highlight experiences that demonstrate user story conversion and disciplined documentation practices.
Education
10/10Counted
The candidate holds a Master's degree in Applied Mathematics, which aligns perfectly with the vacancy's educational requirements.
Supporting evidence
  • Master of Science in Applied Mathematics
Improvement hint
None needed, education aligns well with the vacancy.
Language and location
ExcludedExcluded
Language and location are not explicitly required by the vacancy.
Improvement hint
None needed.
Contact readiness
6/7Counted
The resume includes both email and phone, with clear location context, but lacks a strong signal of the target role.
Supporting evidence
  • Email: lars.nielsen@example.com
  • Phone: +45 12 34 56 78
  • Location: Copenhagen, Denmark
Missing evidence
  • Explicit target role signal
Improvement hint
Clarify the target role in the personal details section to improve contact readiness.
Nice-to-have bonus
ExcludedExcluded
There are no nice-to-have requirements specified in the vacancy.
Improvement hint
None needed.
Strengths
  • Strong educational background in mathematics and computer science.
  • Proven experience in Python and SQL, critical for the role.
Risks
  • Lack of evidence for converting planning needs into user stories.
  • No explicit evidence of a proactive mindset with structured communication.
Must-have requirements
Master’s degree or PhD in engineering, mathematics, computer science or related field
Exact
Score impact: 100/100
The candidate's educational background directly matches the requirement.
  • Master of Science in Applied Mathematics
Strong Python and SQL skills
Exact
Score impact: 100/100
The skills section explicitly lists Python and SQL, which are critical for the role.
  • Python (numpy, pandas, scipy)
  • SQL
Understanding of modelling and optimization principles
Strong
Score impact: 100/100
The candidate's experience and education indicate a strong understanding of these principles.
  • Experience in operations research, machine learning, and mathematical optimization.
Ability to convert planning needs into user stories
None
Score impact: 100/100
The resume does not provide evidence of this ability.
Analytical strength to validate logic and troubleshoot issues
Strong
Score impact: 100/100
The candidate's experience in model validation supports this requirement.
  • Revalidated, stress tested and remediated several derivative pricing models.
Proactive mindset with structured communication
None
Score impact: 100/100
The resume lacks explicit evidence of a proactive mindset and structured communication.
Ability to collaborate across diverse functions
Weak
Score impact: 100/100
The resume provides weak evidence of collaboration across diverse functions.
  • Collaborative research project with Hitachi.
Discipline in testing, documentation and data quality assurance
None
Score impact: 100/100
The resume does not provide evidence of discipline in these areas.
Recommendations
Include specific references to converting planning needs into user stories and structured communication.
High
Section: summaries
Score impact: +10
These are critical requirements for the vacancy and are currently missing in the summary.
Add skills related to structured communication and collaboration.
Medium
Section: skills
Score impact: +5
These skills are important for the role and are currently underrepresented.
Scoring notes
  • The analysis is conservative due to missing evidence for several must-have requirements.