Data Scientist

Bedrijf
Locatie
Amsterdam
Opleidingsniveau
WO
Arbeidsvoorwaarden
Uitstekend
Vakgebieden
Deze vacature is niet meer vacant

Kearney is a leading global strategy consultancy with a team of forward-thinking and collaborative experts, who deliver immediate, meaningful results and a long-term transformational advantage to our clients. Kearney is active in more than 40 countries and has been the trusted advisor to the world's foremost organizations since 1926.

The Analytics team looks back on over a decade of heritage with 20% + average annual growth rate. As such, we have been pioneers in the consulting industry. Kearney’s leadership is committed to accelerate our growth in this area to “supercharge” all offerings with state-of-the-art analytics, as indicated by our recent acquisition of Cervello: a leading business analytics and data strategy consultancy. This growth ambition holds particularly true in the Benelux, where we are actively developing a regional Analytics team as part of the larger Analytics network.

Selected case examples

Category management for Ecommerce: for a leading player in the international E-commerce landscape we developed analytical category dashboards linking real-time competitor pricing & assortment data, internal supplier conditions and customer behavior. The dashboards supported our client in strategic & tactical decision making and facilitated scenario analysis. 

Consumer behavior anticipation in Banking: developed costumer behavior forecasting models for a large international banking group. The models combined both structured and unstructured data and used various machine learning & NLP algorithms to anticipate behavior and determine next best action(s).

Public transport optimization: optimized the logistical network, planning, timetables and service levels for a key public transportation player in a large European market. The analytically driven approach was combined with pilots to deliver immediate impact. 

What You Can Expect

  • Diverse environment. As a data scientist within the Kearney Benelux unit, you will work for companies across multiple industries and geographies and develop a wide set of data driven solutions, to address key business challenges. You will be part of our Global Analytics community enabling cutting-edge knowledge sharing, trainings and global collaboration.
  • Collaboration. You will work alongside data scientists and general strategy consultant team members who will help you grow, while helping our clients solve their most important strategic challenges. At Kearney we firmly believe in integrated teams which combine various skillsets and overcome silos to deliver tangible impact.
  • Entrepreneurial approach. The data science practice within Kearney is rapidly growing and actively looking for new talents to support both existing projects as well as identify and develop new value propositions that create sustainable value for our clients.
  • Impact and growing advantage. That’s what we promise to both you and our clients. You will be able to make an impact and develop your potential from day one within a professional environment and culture that actively fosters:
    • Technical skills: our projects will develop your ability to create data driven solutions and recommendations from complex and extremely varied data sets of the largest global corporations.
    • Business skills: projects are conducted in teams consisting of general strategy consultants, data scientists and client team members. This will allow you to develop relevant business skills (presenting, project management etc.) in addition to data science skills.
  • International network: as a data scientist you will be part of Kearney’s international Data & Analytics practice. This will allow you to work in international (team) settings, share best practices and knowledge across the firm as well as to attend international training sessions.
  • Personal development. We take a tailored approach to performance management and career advancement. Your role grows as rapidly as your performance warrants. You will benefit from our global scale and capability, as well as from the speed and nimbleness of our close-knit teams. Development includes, but is not limited to, hands-on (international) project experience, international Kearney training sessions for both data science & management skills as well as potential external education, training and events.

What We Seek

  • We look for talented data scientists with intellectual curiosity who are ready to be active members of client-facing teams. The following qualifications give an indication of the type of individual we are looking for:
    • 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
    • Strong team spirit, well-structured with good organizational, oral and written communication skills
    • Proven experience in analyzing data and creating analytical solutions to solve scientific and/ or business problems indicated by ca. 3 – 5 years working experience in consulting, large corporates or data-driven start / scale-ups
    • Industry knowledge in either financial industries, consumer goods, e-commerce or supply chain is preferred
  • Additionally, proven hands-on and in-depth experience in at least one of the following areas (preferably two or more):

In terms of programming languages:

    • Managing large sets of data with databases such as MSSQL, MySQL, NoSQL or DB2
    • Python (Scikit-learn, SciPy, NumPy, Pandas) and / or R (Tidyverse, Stan, Shiny)
    • Visualization platforms (e.g. Tableau, Qlikview, PowerBI)
    • 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)

In terms of data & analytical techniques:

    • 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.
    • Web-crawling and digital customer analytics platforms for market and internet analysis incl. surveying, sentiment analysis, profiling and segmentation, clickstreaming, etc.
    • Interfaces with large enterprise systems (e.g. Oracle, SAP, JDA) in the usage of functional SW modules and/or base data
    • Interfaces with external data sources like IoT, M2M, APIs, Internet analytics platforms and Mobile App providers

What We Offer

  • You can expect project assignments in the Benelux as well as locations across Europe and even at overseas locations, working in multicultural and dynamic teams both internally and at the clients’ location.
  • We support you to rapidly enhance your skills with constant exposure to new industries and projects.
  • Extensive training and career progression opportunities are offered at our national and international offices as well as within functional expertise and industries.
  • You will be a key contributor to Kearney’s rapidly growing Analytics practice – both internationally as well as with respect to shaping the Benelux Analytics practice.
  • We offer a competitive benefit package based on capabilities and prior experience.

Vacature informatie

Bedrijf: Kearney

Locatie: Amsterdam

Opleidingsniveau: WO

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