Mathematician CV vs Network Analytics Engineer Job

Updated: March 26, 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.

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Overall score

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Moderate matchLimited evidence

Evidence fit

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Confidence

70%

Mathematician Resume Example

Lars Jensen

Mathematician

Email: lars.jensen@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 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 optimization techniques. 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. 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

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

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

Ericsson R&D

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, 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.

Role

Network Analytics Engineer

Company

A.P. Moller - Maersk

Location

Copenhagen, Capital Region of Denmark, Denmark

Remote policy

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 grounded in optimization models and algorithms
Identify data or logic gaps and propose improvements that raise planning accuracy and reduce manual work
Provide clear analytical insights that help planners understand outcomes and make informed decisions
Maintain and refine small scripts that improve recurring metrics and reporting
Translate planning needs into well defined user stories and acceptance criteria
Collaborate with planning, equipment, finance and technical teams to align inputs and assumptions
Communicate findings in a structured way and convert feedback into actionable enhancements
Support testing and sign off of new analytical features
Document updates to logic and processes in a clear and accessible format

Must-have requirements

A master’s degree or PhD in engineering, mathematics, computer science or a related quantitative field with exposure to optimization or modelling
Strong Python and SQL skills for analytics, modelling and data sourcing
Understanding of modelling and optimization principles and how algorithms support real planning problems
Ability to convert planning needs into clear user stories and acceptance criteria
Analytical strength to validate logic and troubleshoot issues
A proactive mindset with structured, clear communication
Ability to collaborate smoothly across diverse functions and to build strong working relationships

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, particularly in the summary and skills sections.
The resume does not clearly demonstrate the ability to convert planning needs into user stories and acceptance criteria.

Section breakdown

Summary

12/22Counted

The summary reflects some alignment with the vacancy, mentioning mathematical modeling and optimization, but lacks explicit mention of Python, SQL, and planning needs conversion.

Supporting evidence

Experience in mathematical modeling and optimization

Missing evidence

Explicit mention of Python and SQL
Conversion of planning needs into user stories

Improvement hint

Enhance the summary to explicitly mention Python, SQL, and experience in converting planning needs into user stories.

Skills and ATS

10/18Counted

Skills section includes Python and SQL, but lacks emphasis on their application in analytics and modeling.

Supporting evidence

Python
SQL

Missing evidence

Application of Python and SQL in analytics and modeling

Improvement hint

Highlight the use of Python and SQL in analytics and modeling within the skills section.

Experience

20/28Counted

Experience shows strong alignment with optimization and modeling, but lacks evidence of converting planning needs into user stories.

Supporting evidence

Developed optimization models
Implemented vehicle routing and scheduling software

Missing evidence

Conversion of planning needs into user stories

Improvement hint

Provide examples of converting planning needs into user stories in your work experience.

Education

10/10Counted

The candidate holds a Master's degree in Applied Mathematics, which aligns well with the educational requirement.

Supporting evidence

Master of Science in Applied Mathematics

Improvement hint

No improvement needed for education as it meets the requirement.

Language and location

ExcludedExcluded

Language and location are not explicitly required by the vacancy.

Contact readiness

7/7Counted

Both email and phone are present, with clear location context.

Supporting evidence

Email: lars.jensen@example.com
Phone: +45 12 34 56 78

Improvement hint

No improvement needed for contact readiness.

Nice-to-have bonus

ExcludedExcluded

No nice-to-have requirements specified in the vacancy.

Strengths

Strong educational background in mathematics and optimization.
Experience in developing optimization models and algorithms.

Risks

Lack of explicit evidence for converting planning needs into user stories.
Summary does not highlight key skills like Python and SQL.

Must-have requirements

A master’s degree or PhD in engineering, mathematics, computer science or a related quantitative field with exposure to optimization or modelling

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 for analytics, modelling and data sourcing

Strong

Score impact: 80/100

The skills section lists Python and SQL, and job descriptions imply their use.

Python
SQL

Understanding of modelling and optimization principles and how algorithms support real planning problems

Exact

Score impact: 90/100

The candidate's experience in optimization and modeling is well-documented.

Developed optimization models
Implemented vehicle routing and scheduling software

Ability to convert planning needs into clear user stories and acceptance criteria

Weak

Score impact: 70/100

There is some evidence of converting planning requirements into user stories, but it is not strong or recent.

Bridged software developer and DevOps teams by converting planning requirements into structured user stories

Analytical strength to validate logic and troubleshoot issues

Strong

Score impact: 85/100

The candidate's experience in validating and troubleshooting models is evident.

Revalidated, stress tested, documented and remediated several derivative pricing models

A proactive mindset with structured, clear communication

Strong

Score impact: 75/100

The candidate demonstrates structured communication in their roles.

Presented the results and ambiguities to them via bi-weekly status reports

Ability to collaborate smoothly across diverse functions and to build strong working relationships

Strong

Score impact: 80/100

The candidate's roles involved collaboration across functions.

Participated in regular briefings with both the Trading Desk and the Risk Management

Recommendations

Enhance the summary to explicitly mention Python, SQL, and experience in converting planning needs into user stories.

High

Section: summaries

Score impact: +10

These are critical skills and experiences for the vacancy and should be highlighted early in the resume.

Emphasize the application of Python and SQL in analytics and modeling.

Medium

Section: skills

Score impact: +5

Highlighting these skills in context will improve ATS visibility and recruiter interest.

Scoring notes

The resume provides strong evidence for educational and experience requirements but lacks explicit mention of some key skills in the summary.