Data Scientist

Summary

Data Scientist to Lowell

We are looking for a Data Scientist with the drive and passion to build, enhance, and maintain predictive models using the most appropriate statistical and machine learning methodologies.

The Operations Analytics team is responsible for developing advanced analytics solutions to various Lowell’s business needs. As a Data Scientist, together with other seasoned data professionals in the team, you will contribute to the design and delivery of predictive models and get an opportunity to shape how advanced analytics will be applied in credit management.

Apply as soon as possible as interviews are conducted on an ongoing basis, the positions may be filled before the last application date Dec 23rd.

Welcome with your application!

Job Description

Who we are:

Lowell is one of Europe's leading and most respected credit management companies, we believe in the importance of good relationships. Whether that’s with our customers or our people.

Together, we make credit work better for all! Our mission is to help customers on the path to becoming debt free; with a real focus on helping our customers pay off their debts in practical and affordable ways. We do this honestly, ethically and by treating our customers with dignity and respect.

Our focus on sustainability, hybrid working, leadership development and career progression makes working at Lowell a rewarding experience.

So that’s us, now let’s talk about your role…

Job description:

In your role as Data Scientist, you will be responsible for the development and maintenance of advanced analytics models to different functions in the business and work closely with their departments in a variety of areas such as collection strategy, reforecasting and pricing.

Your close partnership with stakeholders across the business will give you valuable understanding of Lowell’s core business model and through close collaboration you will explore opportunities to drive significant value through employing advanced analytics models.

Who are you:

As Data Scientist you are intellectually curious, a critical thinker and have a naturally analytical mindset. You tolerate ambiguity and have a willingness to keep looking for better answers. You are enthusiastic, tenacious, and driven to tackle demanding goals. Your problem-solving skills and business acumen allow you to make significant contributions to the business.

We also expect the following qualifications:

·       Several years of experience working as a Data Scientist or similar role in complex analytics tasks

·       Solid experience in building production-grade statistical and machine learning models

·       Experience working in cloud environments, preferably in Microsoft Azure and Databricks

·       A self-driven approach to solving problems and a willingness to take a high level of responsibility for the delivery of analytics projects

·       A degree (B.Sc/M.Sc/Ph.D) in a quantitative discipline (e.g. computer science, statistics, mathematics, engineering, econometrics)

·       Proficiency in programming languages like Python, R and SQL

·       Good interactive skills and fluent proficiency in English (any Nordic language is a plus)

·       The ability for independent planning and decision-making.

What we offer:

We welcome you to an exciting company with high goals and ambitions, which is constantly working to develop and challenge itself. We offer you a warm company climate, great colleagues and good benefits and working conditions. At Lowell, we have chosen to work in a hybrid model, which means that we work both in the office and from home. A little depending on the role and tasks of course.

Lowell is a value-driven company that lives by the values of Pioneering, Ambition, Compassion, Excellence, and Responsibility. These values are the foundation of Lowell's business and way of being and working. An exciting career is much more than just a salary. We also understand that everyone, regardless of culture, gender identity, religion, ethnicity, age, or disability status, can contribute to our goal to make credit work better for all. Our strength is in our people.