Data Innovation Engineer Trainee (m/f/d)

Description du poste:

Line of ServiceAssurance

Industry/SectorNot Applicable

SpecialismAssurance

Management LevelIntern/Trainee

Job Description & Summary

PwC Luxembourg is hiring a Data Innovation Engineer Trainee (m/f/d). What if it was you?

Who we are: PwC Luxembourg (www.pwc.lu) is the largest professional services firm in Luxembourg with over 3,800 people employed from 90 different countries. PwC Luxembourg provides audit, tax and advisory services including management consulting, transaction, financing and regulatory advice. The firm provides advice to a wide variety of clients from local and middle market entrepreneurs to large multinational companies operating from Luxembourg and the Greater Region. The firm helps its clients create the value they are looking for by contributing to the smooth operation of the capital markets and providing advice through an industry-focused approach.

At PwC, our purpose is to build trust in society and solve important problems. We're a network of firms in 149 countries with more than 370,000 people who are committed to delivering quality in assurance, advisory and tax services. Find out more and tell us what matters to you by visiting us at www.pwc.com and www.pwc.lu.

Your mission:
* Understand and analyze our client's business's needs (local and international clients in multiple industries: alternatives industries (PE/RE), commercial companies, investment funds, banks, insurance, …);
* Implement digital solutions servicing client problems;
* Understand our audit processes and methodology standards;
* Translate audit tasks into algorithms with quantitative and qualitative criteria;
* Participate in data analytics projects (involving modelling, predictive analysis, big data);
* Build proof-of-concepts and support their practical implementation into a platform;
* Support cross-functional teams in building data analytics solutions;
* Develop dashboard solutions (Power BI, …) to help our clients monitoring their businesses, to create visual decision and selection tools and to enhance our reportings to clients.

Let's talk about you. If you have (or will soon have) …
* Currently completing a Bachelor or Master's degree or equivalent in Data Science, Mathematics, Computer Science or IT technology, ideally with some knowledge of finance;
* Some experience in the design and implementation of projects involving data analytics and big data;
* Analytical skills that allow you to quickly understand a problem, to identify possible solutions and key success factors;
* A very strong motivation, as well as analytical skills and rigorousness behavior;
* A good team player, capable of working on multiple requests;
* Demonstrate to have good interpersonal and communication skills, both written and verbal;
* An excellent command of English. Any additional language would be an asset (French, German, Luxembourgish ...).

…You are the candidate we are looking for!

Moreover, our recruitment process is short and simple:
1 Technical interview

A final word about us:
At PwC, we believe diversity is the representation of all the characteristics that make us both alike and unique. Our backgrounds, cultures, nationalities, lifestyles, identities, opinions and beliefs, approaches to solving problems, ways of working, and views of personal and professional success, all add value to the services we deliver to our clients. Our objective is to nurture an inclusive environment where a diversity mindset is ingrained, and inclusion is the norm. We constantly focus on respecting and valuing individual differences.

Ready to grow your potential, reaching excellence together? Apply now!

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Education (if blank, degree and/or field of study not specified)Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional SkillsAccepting Feedback, Accepting Feedback, Active Listening, AI Implementation, C++ Programming Language, Communication, Complex Data Analysis, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Machine Learning, Machine Learning Libraries, Named Entity Recognition, Natural Language Processing (NLP), Natural Language Toolkit (NLTK) {+ 20 more}

Desired Languages (If blank, desired languages not specified)

Travel RequirementsNot Specified

Available for Work Visa Sponsorship?No

Government Clearance Required?No

Job Posting End Date