Kearney is a global management consultancy with a team of forward-thinking andcollaborative experts who deliver immediate, meaningful results and a long-termtransformational advantage to our clients.
What You Can Expect
You willhave a career track building on your technical capabilities and will be able togrow into adjacent areas or deepen your knowledge in your current area(s) ofexpertise, as well as learn the ropes of general management consulting.
Youwill undergo a deep, quick, varied and thrilling learning experience. We arelooking for innovative, creative, deeply analytical and technical, passionateprofessionals able to :
Analyze, manipulate, integrate, cleanse and validate data from a variety of data sources and platforms
Model businesses, markets and operations to gain actionable insights on how to improve our clients’ competitiveness
Use analytics platforms for decision-making as well as bespoke analytical techniques and algorithms to optimize operational performance or solve our specific client challenges
Work collaboratively with our clients and other project members of our project team to engage at multiple levels in the organization to ensure buy-in, prototype solutions and enable capability building
Help our clients implement, transfer ownership and scale solutions on clients’ premises
Help prepare reports and PowerPoint presentations for project updates
Present work to internal and client teams
Support the further development and innovation of our emerging analytics platforms across multiple clients
What We Seek
At least a Master s Degree with outstanding academic record, preferably in a quantitative discipline such as Applied Mathematics, Business Analytics, Econometrics, Engineering, Computer Science, Operations Research, Physics, Statistics or Supply Chain
Proven experience in analyzing data and creating analytical solutions to solve scientific and / or business problems
Strong team spirit, well-structured with good organizational, oral and written communication skills
Broad and advanced experience using spreadsheet applications e.g. Microsoft Excel, VBA
Proven hands-on and in-depth experience in at least one of the following areas (preferably two or more) :
Proven experience in managing large sets of data with databases such as MSSQL
Python (Scikit-learn, SciPy, NumPy, Pandas) and / or R (Tidyverse, Stan, Shiny)
Visualization platforms (e.g. Tableau, Qlikview, PowerBI)
Big data with experience in handling large and heterogeneous sets of data using Hadoop or Spark as well as heterogeneous data processing from unstructured sources
Statistical methods / machine learning, e.g. regression, classification, regularization, Bayesian inference, causal inference, etc.
Optimization tools (e.g. AIMMS, GAMs, Supply Chain Guru), solvers (e.g. CPLEX, Gurobi) as well as the underlying algorithms
Simulation tools (e.g. Anylogic, ARENA)
Web-crawling and digital customer analytics platforms for market and internet analysis incl. surveying, sentiment analysis, profiling and segmentation, clickstreaming, etc.
Deep) Neural Networks and Natural Language Processing (NLP) and the underling mathematical concepts (SGD, reinforcement learning, LDA and topic models)
AI platforms / tools, e.g. experience using Keras and / or TensorFlow
Interfaces with external data sources like IoT, M2M, APIs, Internet analytics platforms and Mobile App providers
Interfaces with large enterprise systems (e.g. Oracle, SAP, JDA) in the usage of functional SW modules and / or base data
Specific functional area in business with deep analytics skills in this specific area (e.g. digital marketing, advanced supply chain planning)
Fluency in German and English is a must
What We Offer
You canexpect project assignments in international locations, working in diverse anddynamic teams both internally and at clients’ sites.
We support you to rapidlyenhance your skills with constant exposure to new industries and projects.Extensive training and career development opportunities are offered in ournational and international offices.
We are typically based at our clients’sites Monday to Thursday therefore depending on the location this may involveup to 80% travel.
Wecurrently have vacancies in Berlin, Dusseldorf, Munich and Vienna.
How to Apply
If you areattracted by this interesting and challenging opening, please submit your : CV, cover letter, university diplomas and school leaving certificate includingtranscripts using the Apply button.
49 211 1377 2745
Fluent german language skills