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Operations Research Mathematician vs. Network Analytics Engineer at A.P. Moller - Maersk
Updated: March 26, 2026

Operations Research Mathematician vs. Network Analytics Engineer at A.P. Moller - Maersk

A detailed comparison of an Operations Research Mathematician's resume against the Network Analytics Engineer position at A.P. Moller - Maersk, highlighting strengths and areas for improvement.

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1Overview
2Resume
3Vacancy
Operations Research Mathematician Resume
László Kovács
Operations Research Mathematician
Email: laszlo.kovacs@example.com
Phone: +45 12 34 56 78
Location: Copenhagen, Denmark

Operations research–focused mathematician with experience in quantitative development, software engineering, and production planning, and strong Python and SQL skills for optimization, data analysis, and automation. Applies linear and mixed-integer programming and modelling principles to complex planning and network optimization problems. Experienced in formulating and validating models with a focus on correctness, stability, and data integrity. Emphasizes structured documentation, reproducible workflows, and data quality assurance to deliver reliable, scalable analytical solutions. Collaborates effectively across technical and business teams, translating planning needs into clear mathematical models and communicating insights in a structured, actionable manner to support decision-making.

Experience
Research Associate
Sep 2021 - Present
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 optimization techniques. Built mixed integer linear programming models for various engineering problems arising from production line planning. Performed sensitivity analysis of MILP models. Translated requirements of business and engineering units of Hitachi to mathematical modeling, and presented the results and ambiguities to them via bi-weekly status reports. Documented yearly projects in technical reports. Developed and implemented a vehicle routing and scheduling software for the logistic operations of a regional electrical installation company, using high performance C++ implementation of a local search scheme.
Software Developer
Feb 2021 - Sep 2021
Developed and implemented a MILP and 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. Documented the algorithm and its industrial application in a D1 and a Q1 paper.
Quantitative Developer, Strategist
Jan 2020 - Feb 2021
Revalidated, stress tested, documented and remediated several derivative pricing models used by the Commodity Trading Desk of the Fixed Income Division as part of the Regulatory Modeling team. Participated in regular briefings with both the Trading Desk and the Risk Management, translating technical modeling details and requirements between the units.
Software Developer
Oct 2018 - Jan 2020
Co-developed, tested, documented 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. Bridged software developer and DevOps teams by converting planning requirements into structured user stories.
Education
Doctor of Philosophy
Sep 2021 - Present
Eotvos Lorand University, Budapest, HU
Mathematics and Computer Science Absolved; Thesis submission and defense expected in 2026
Master of Science
Sep 2018 - Jan 2021
Eotvos Lorand University, Budapest, HU
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
Bachelor of Science
Sep 2015 - Jun 2018
Eotvos Lorand University, Budapest, HU
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, APIs, Xpress, Gurobi, Linux, Power BI, Excel, Latex, Cloud computing, CI/CD, Containerization, Sensitivity testing, Stress testing, Model validation and testing, Documentation, Communication, Presentation, Visualization

Languages

Hungarian (native), English (fluent), Norwegian (intermediate), Danish (beginner)

Network Analytics Engineer at A.P. Moller - Maersk
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.
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 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
  • 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 provides strong evidence for most must-have requirements, but lacks explicit mention of some responsibilities and skills in the summary.
Section breakdown
Summary
15/22Counted
The summary reflects strong alignment with the vacancy, highlighting operations research, optimization, and Python/SQL skills, but lacks explicit mention of some specific responsibilities like user stories and testing.
Supporting evidence
  • Operations research–focused mathematician with experience in quantitative development, software engineering, and production planning, and strong Python and SQL skills for optimization, data analysis, and automation.
Missing evidence
  • Explicit mention of translating planning needs into user stories.
  • Explicit mention of testing and documentation.
Improvement hint
Include more specific responsibilities and skills mentioned in the vacancy, such as user stories and testing, in the summary.
Skills and ATS
14/18Counted
The skills section covers most of the critical skills required by the vacancy, such as Python, SQL, and optimization principles, but lacks some specific ATS terms like 'user stories'.
Supporting evidence
  • Python (numpy, pandas, scipy)
  • SQL
  • Model validation and testing
Missing evidence
  • User stories
Improvement hint
Add specific skills related to user stories and testing to enhance ATS visibility.
Experience
24/28Counted
The work experience strongly supports the vacancy requirements, with relevant roles in research and development, optimization, and software engineering, demonstrating practical application of required skills.
Supporting evidence
  • Developed and implemented a MILP and a cutting-plane algorithm for an integrated system configuration and layout planning problem.
  • Built mixed integer linear programming models for various engineering problems.
Missing evidence
  • Direct mention of converting planning needs into user stories.
Improvement hint
Highlight experiences that involve converting planning needs into user stories and testing.
Education
10/10Counted
The candidate holds a Master's degree in a relevant field, fully meeting the educational requirement.
Supporting evidence
  • Master of Science in Applied Mathematics, Minor: Operations Research
Improvement hint
No improvement needed.
Language and location
ExcludedExcluded
Language and location are not explicitly required by the vacancy.
Improvement hint
No improvement needed.
Contact readiness
7/7Counted
The resume includes both email and phone contact details, with clear location context.
Supporting evidence
  • Email: laszlo.kovacs@example.com
  • Phone: +45 12 34 56 78
  • Location: Copenhagen, Denmark
Improvement hint
No improvement needed.
Nice-to-have bonus
ExcludedExcluded
No nice-to-have requirements specified in the vacancy.
Improvement hint
No improvement needed.
Strengths
  • Strong educational background in relevant fields.
  • Proven experience in optimization and modelling.
  • Strong Python and SQL skills.
Risks
  • Lack of explicit mention of converting planning needs into user stories in the summary.
  • Some responsibilities are not prominently featured in the summary.
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, Minor: Operations Research
Strong Python and SQL skills
Exact
Score impact: 100/100
The candidate has explicitly listed Python and SQL skills in both the summary and skills sections.
  • Strong Python and SQL skills for optimization, data analysis, and automation.
  • Python (numpy, pandas, scipy)
  • SQL
Understanding of modelling and optimization principles
Exact
Score impact: 100/100
The resume provides strong evidence of modelling and optimization expertise.
  • Applies linear and mixed-integer programming and modelling principles to complex planning and network optimization problems.
  • Built mixed integer linear programming models for various engineering problems.
Ability to convert planning needs into user stories
Weak
Score impact: 100/100
The resume mentions converting planning requirements into user stories in a past role, but not prominently.
  • Bridged software developer and DevOps teams by converting planning requirements into structured user stories.
Analytical strength to validate logic
Strong
Score impact: 100/100
The candidate has demonstrated analytical skills in validating models and logic.
  • Experienced in formulating and validating models with a focus on correctness, stability, and data integrity.
  • Model validation and testing
Proactive mindset with structured communication
Strong
Score impact: 100/100
The resume indicates structured communication skills and a proactive approach.
  • Communicating insights in a structured, actionable manner to support decision-making.
  • Presentation
Ability to collaborate across diverse functions
Strong
Score impact: 100/100
The candidate has experience collaborating across various functions.
  • Collaborates effectively across technical and business teams.
  • Participated in regular briefings with both the Trading Desk and the Risk Management.
Discipline in testing, documentation and data quality assurance
Strong
Score impact: 100/100
The resume shows a strong focus on documentation and data quality assurance.
  • Emphasizes structured documentation, reproducible workflows, and data quality assurance.
  • Documented yearly projects in technical reports.
Recommendations
Include explicit mention of converting planning needs into user stories and testing responsibilities.
High
Section: summaries
Score impact: +5
These are critical responsibilities for the role and should be highlighted in the summary to improve ATS and recruiter visibility.
Scoring notes
  • The resume is strong in most areas but could improve by explicitly mentioning certain responsibilities in the summary.