ePrivacy and GPDR Cookie Consent by Cookie Consent

DATA SCIENTIST / SENIOR DATA SCIENTIST

SUN FINANCE DESCRIPTION

At Sun Finance you will be a part of a company where everything is possible. Here we set only the highest goals and work hard to reach them. Our team’s success-oriented mindset has allowed us to land at the very top of Europe’s fastest-growing fintech ranking twice and not to stop at what’s been already achieved. We believe in the power of companionship – supporting our colleagues and sharing knowledge is an important part of our every day life. Managed by seasoned professionals in finance, IT, risks and fintech, Sun Finance will offer an opportunity for you to grow along with us.

Join Sun Finance!

P.S. We also know how to have fun.

JOB MISSION

We are looking for a Data Scientist who will support our Data Science team. We make thousands of data-driven decisions daily and look for a new energetic professional eager to learn and apply a variety of data exploratory analysis methods in R and later build and implement predictive models. The prospective candidate should be open-minded and a quick learner, eager to conquer the world of data.

OUTCOMES

  • Do exploratory data analysis, deliver predictive insights, and suggest new business strategies
  • Develop new predictive models in Risk underwriting, fraud prevention, and customer acquisition
  • Monitor existing models, select and develop new predictive features, build and optimize classifiers using machine learning techniques
  • Assess the effectiveness and accuracy of new data sources and data-gathering techniques
  • Continuously learn Data science techniques and gain new experience in the field of Risk underwriting

REQUIREMENTS

  • BSc degree in mathematics/computer science, physics, computational finance, or a related quantitative field, might be last year’s student
  • Passion for data analysis, optimization, and strong analytical ability
  • Basic knowledge of R or Python
  • Knowledge of statistical techniques and concepts (regression, properties of distributions, statistical tests etc.).
  • Experience visualizing/presenting data
  • Ability to learn fast and a problem-solving mindset

As advantage

  • Experience in Fintech or similar field
  • Knowledge of SQL
  • Working experience with large data sets and exposure to big data challenges

BENEFITS

  • Hybrid work arrangements allowing to combine work from home and office
  • Flexible working hours start as late as 10 am
  • Opportunity to work 2 weeks from any Sun Finance office across the group
  • Health insurance
  • Well-being activities, surprises, and birthday gifts (sporty challenges, mini competitions with prizes)
  • Tech conference attendance and supporting self-driven learning (i.e., paid conference fees, relevant Udemy courses, etc.)
  • Receive bonuses for long-term cooperation like extra holidays, etc.
  • Free coffee & soft drinks to fuel those tough mornings
  • Variety of snacks and soups at the kitchen
  • Enjoy the private gym
  • Learn and grow in a company of over 10 nationalities
  • No suits! Unless it’s Carnival or Halloween
  • Salary range 2900 – 5500 gross depending on work experience, education, and skills

Company perks

Health insurance

Everyday snacks and soft drinks

Collaborative environment and modern office

1400+ large team to be a part of

An employer that will appreciate and care for you

Additional training opportunities

Application form

Click to upload "CV" or drag it here

I agree that my data are processed according to the Privacy Policy

Form submitted successfully

Why Sun Finance?

Working in Sun Finance means helping people. With more than 1400+ employees across 7 countries and continuous growth

Learn more

Refer a friend

See an opportunity which is not for you but someone you know would be ideal for? Send a reference!

Send opportunity