(Senior) Data Scientist

vor 2 Wochen

Zürich, Schweiz Synpulse Schweiz AG Vollzeit

About the job:

Are you eager to use cutting-edge technology to transform the financial sector? We are too Join our Tech Advisory team as a (Senior) Data Scientist. You will be part of Synpulse8, the technical brainchild of Synpulse, an established and globally active management consulting company for the financial services industry.

Technical consulting with a focus on results for our clients in the field of data science, covering strategic and operational tasks You will be responsible for the analytical solution, including data extraction, transformation, (machine learning) modelling, visualisation, and implementation  Present results and interact with clients Collaborate and share knowledge with colleagues from different teams and regions

You:

Master’s degree from a renowned university (a strong preference for mathematics, statistics, engineering, econometrics, or a similar degree)  2 or more years of professional, work experience within data science in the are of Banking or Insurance Excellent problem-solving, conceptual, and analytical skills  Ability to work well in teams, flexible, with excellent social skills, and at ease explaining complex problems to a broad range of stakeholders, including C-suite executives and technical experts Strong, demonstrated knowledge of relevant statistical methods, algorithms, modelling techniques and implementation, and programming languages (, Python, R, SQL)  Experience with databases and big datasets  Fluent in German and English is a must

About us:

Flexible working hours with part-time working models and hybrid options Attractive fringe benefits and salary structures in line with the market Modern and central office space with good public transport connections Can-do mentality and one-spirit culture Varied events and employee initiatives

Your documents to start the process:

Resume  Job references  Qualifications (, bachelor’s or master’s diploma, etc.) with a certificate of grades  Motivation letter: Why Synpulse8? Why you? Why this function?  Recommendation letters (optional) 

Do you take your work seriously, enjoy it, and believe that working with a team yields greater outcomes than working alone? Are you proactive and willing to go the extra mile for your clients? Are you motivated to both design and implement solutions? As a flexible and goal-oriented person, you will quickly assume entrepreneurial responsibility with us.

If you appreciate the spirit of a growing international company with Swiss roots and strong corporate culture, then we look forward to receiving your online application at 

Claudio Schneiter, Talent Acquisition Specialist
Synpulse Switzerland AG,

Our people are our most valuable asset. They drive our growth and anchor our success. They are experts, thought leaders, and trusted partners of our global clients. The Synpulse OneSpirit is reflected in our people and unrivaled culture of collaboration, inclusion, entrepreneurship, and fun. We are good corporate citizen in our communities and we celebrate success together with our Synpulse crypto token. Client ServingTechnology ConsultingExperienced ProfessionalHybrid

Are you eager to use cutting-edge technology to transform the financial sector? We are too Join our Tech Advisory team as a (Senior) Data Scientist. You will be part of Synpulse8, the technical brainchild of Synpulse, an established and globally active management consulting company for the financial services industry.

Technical consulting with a focus on results for our clients in the field of data science, covering strategic and operational tasks You will be responsible for the analytical solution, including data extraction, transformation, (machine learning) modelling, visualisation, and implementation  Present results and interact with clients Collaborate and share knowledge with colleagues from different teams and regions Master’s degree from a renowned university (a strong preference for mathematics, statistics, engineering, econometrics, or a similar degree)  2 or more years of professional, work experience within data science in the are of Banking or Insurance Excellent problem-solving, conceptual, and analytical skills  Ability to work well in teams, flexible, with excellent social skills, and at ease explaining complex problems to a broad range of stakeholders, including C-suite executives and technical experts Strong, demonstrated knowledge of relevant statistical methods, algorithms, modelling techniques and implementation, and programming languages (, Python, R, SQL)  Experience with databases and big datasets  Fluent in German and English is a must Full-time

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