Advisor

Job Description: Data Science Analyst
Role: Data Analyst
Work Experience: 5+ years’ experience
Key Skills: 3+ years of experience as data science analyst or Machine learning engineer.
Should have hands on experience with Machine learning algorithms and models, statistical modelling, visualization techniques, data sciences concepts.

About Maersk

Maersk is a global leader in integrated logistics and have been industry pioneers for over a century. Through innovation and transformation, we are redefining the boundaries of possibility, continuously setting new standards for efficiency, sustainability, and excellence.

At Maersk, we believe in the power of diversity, collaboration, and continuous learning and we work hard to ensure that the people in our organization reflect and understand the customers we exist to serve.

With over 100,000 employees across 130 countries, we work together to shape the future of global trade and logistics.

Join us as we harness cutting-edge technologies and unlock opportunities on a global scale. Together, let's sail towards a brighter, more sustainable future with Maersk.

What we Offer

This is an exciting career opportunity in an international, challenging business setting known for diversity and high paced environment. You will get to focus on creating valuable relations with stakeholders and work with highly professional teams in an environment where you will be valued, recognized and well rewarded.

You will work with amazing and diverse colleagues with a deep sense of commitment to live Our Values and together, go all the way for our customers, society and for each other. 

Job Description: Data Science Analyst

Role: Data Analyst

Work Experience: 5+ years’ experience

Key Skills: 3+ years of experience as data science analyst or Machine learning engineer.

Should have hands-on experience with Machine learning algorithms and models, statistical modeling, visualization techniques, and data sciences concepts.
 

Should have strong proficiency in Python/R or any other analytical tool.

Hands-on experience with libraries such as NumPy, Pandas, Seaborn, NLTK, etc.

Should be experienced in SQL and operated on new-age technologies like Azure, Teradata, Power BI, etc.

Key Responsibilities:

• Data exploration, analysis, visualization, and presentation
• Analyse and interpret trends or patterns in data sets
• Use a variety of data tools, build and implement models, create algorithms and run simulations
   

Business & Technical Skills:

• Knowledge on methodologies to clarify business requirements including design thinking, business process design, personas, user stories, etc.
• Use analytical, statistical, and programming skills to collect, analyze, and interpret large data sets
• Technical expertise in developing data models (prediction & forecasting models), data wrangling, data mining, and segmentation techniques

General Skills:

• An excellent team player, balanced with strong autonomy and high motivation to produce individually
• Someone open to new ideas and innovative in approach
• Proactively learns new technologies and pushes for driving the same in his/her space of work.

Qualifications:

Master's degree in statistics, Maths or computer science.

Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.

We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing [email protected].