Insight Finder (Data Scientist)

Company:
Location: Anderlecht

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Make your mark for patients.

We’re here because we want to build the future and transform patients’ lives for the better.

At UCB, our people are our experiences and achievements, our passion and drive. That’s why we’re looking for talented individuals with diverse backgrounds and experiences - not just the best and brightest, but those who care about making a meaningful difference in the lives of patients. We promote an environment of diversity, openness, and respect where people can make valuable contributions.

An exciting journey lies ahead. Will you join us in pushing the boundaries of what’s possible?


To strengthen our Global Analytics & Data Foundation team, based in our HQ office in Brussels, Belgium, or in our Slough office, UK, or in our Monheim office, Germany we are looking for a talented individual to fill the position of: Insight Finder (Data Scientist).


As an Inside Finder you will develop customized analytics models and algorithms to identify valuable and actionable insights within large internal and external data sets.


You like to work in an
environment where you can:

  • Work in squad teams with different stakeholders, as well as Business Translators and Business Analysts, etc., to identify opportunities of leveraging data to solve business questions / challenges;
  • Explore and model structured and unstructured datasets to generate insights, and work with domain experts to turn them into actionable plan;
  • Create and implement algorithms for segmentation, predictive modeling, forecasting, simulation, and optimization;
  • Develop processes and tools to monitor and analyze model performance and data accuracy.


You will contribute
by :

  • Deciphering insights from existing assets through running advanced analytics, prototype for ad-hoc analytical projects, and support analytics assets/tools building, etc.;
  • Bringing analytics insights and experience to shape the optimal solution for specific needs;
  • Staying updated on industry best practices and drive the adoption of novel approaches and methods in the field advanced analytics, artificial intelligence and machine learning;
  • Facilitating to connect the dot with financial / non-financial, structured / unstructured data and internal / external data;
  • Presenting outcome of analyses to the relevant stakeholders, in writing or verbally, to help convert the statistical findings to concrete business insights.


Interested? For this position you’ll need the following
education, experience and skills:

  • Undergraduate degree in computer science, mathematics, statistics, business or a similar field. Master’s degree preferred;
  • 5+ working experience, including 3+ years of experiences using various programming languages (R, Python, etc.,) to develop and apply machine learning methods and algorithms to address business priorities;
  • Insight generation & interpretation;
  • Data & analytics modeling.

We are open to recruit someone with a higher level of seniority, 8+ years of experience with people management skills, so feel free to apply if you see a fit


About us.

UCB is a global biopharmaceutical company, focusing on neurology and immunology. We are around 7,600 people in all four corners of the globe, inspired by patients and driven by science.

At UCB, everything we do start with a simple question: “How will this create value for people living with severe disease?”. We are on a journey to become the patient-preferred biopharma leader by delivering medicines and solutions that improve lives. We want to ensure the creation of patient value, now and into the future, while contributing to a society where a population of 8 billion people and more should be able to live a good life within limited resources of one planet.


UCB and its subsidiaries encourage diversity and inclusion in the workplace; we are an Equal Opportunity Employer. We do not discriminate on the basis of race/color/religion/sex/national origin/veteran/disability/age/sexual orientation/gender identity.

*** Mention DataYoshi when applying ***

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