Data Scientist
Ballerup, Denmark
Applications have closed
Company Description
Handling billions of transactions annually, Nets is among the top payment processors in Europe. We keep a tight focus on making it even easier and more intuitive for our customers to handle digital payments and related services. This has made us a trusted partner to more than 700,000 merchant outlets, including 140,000 online merchant outlets, more than 260,000 enterprises and over 250 banks across Europe.
Changing the future of payments takes strong personalities!
- We solve problems
- We use our imagination and innovate
- We communicate effectively
- We are resilient
- Results are important
- We mean what we say
What powers you at work?
Job Description
As Data scientist you will be responsible for designing, delivering and defending differentiated, high quality product prototypes using statistical techniques like k-means clustering, CHAID and multivariate regressions.
You will own the development of each analysis or model and will be responsible for ensuring all analytical deliveries occur on time, with full quality assurance and methodology testing.
Key characteristics are:
- Smart
- Spirited
- Helpful
The Data Scientist’s main responsibilities will be:
- Building statistical models and machine learning algorithms to power data-led decisions within Marketing
- Informing the roadmap and requirements for the technical development of data-led projects
- Collaborating with team members and other business stakeholders to develop solutions that empower and enhance our current marketing capabilities
- Sourcing relevant data sources (internal and external to Worldpay) to differentiate or improve our analyses
- Lead on promoting best-practice standards within the team regarding coding and analytics and act as mentor to analysts.
Qualifications
3+ years’ data science experience with customer/marketing specialism
- Experience delivering insight to senior stakeholders
- Proven experience building statistical models and machine learning algorithms with a clear commercial benefit
- Hands on R experience for machine learning
- Proficiency in MS SQL, Hive, Python
- Strong understanding of modelling (e.g. cluster analysis, decision trees, regression, propensity modelling)
- Experience in data visualisation tools and software, such as Tableau
- Comfortable advising on and optimising code and working with large, unstructured datasets
- Capable at explaining complex mathematical and statistical concepts in laymen’s terms
- Creative problem solver and self-starter with the ability to work independently to deadlines and demonstrate strong organisational skills
- Team player that works well within a cross-functional team that includes people from marketing, sales and technology
- Results-oriented individual – knows how to get things done
Good to have:
- Strong knowledge of emerging big data trends, particularly technologies and programming languages
- Knowledge of data architecture and database solution design
Able to deal well with change and ambiguity
Additional Information
Apply now to power your career
Apply with your CV until 31.01.2023 and join our fantastic team, and if you want, you can attach a short video clip.
If you are curious to know more about the role, you can contact Alexander Kapellos (Head of CRM & Customer Analytics) at alexander.kapellos@nexugroup.com
You can meet more of our personalities by visiting our careers page: Meet some of our personalities
We conduct background checks on relevant candidates through our partner Semac, www.semac.no
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Big Data Cluster analysis Clustering Machine Learning MS SQL Python R SQL Statistics Tableau Testing
Perks/benefits: Career development
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