Decision Science Analyst - Lowell : Job Details

Decision Science Analyst

Location: Leeds, Thorpe Park, Hybrid working.

We're on a mission to make credit work better for all.

We buy debt from lots of different companies in all kinds of sectors. We treat people with dignity, helping customers pay off their Lowell debt in practical and affordable ways.

According to The Sunday Times, we're one of the best places to work in the UK. Why? Because of the people who work here. Warm, welcoming, and super-talented. It's our people that make us great. We celebrate and share success, learn from failure, embrace change, and savour challenge.

Join us, and from day one you'll have a voice in one of the most dynamic companies in the UK finance sector. Our new entrants tell us they love the support we give them and the recognition they receive for a job well done. And wherever you are in Lowell, you'll be making a difference to the lives of millions of people going through tough times.

But enough about us. Let's talk about your new role with Lowell.

As Decision Science Analyst, you'll be responsible for developing predictive models for different functions in the business such as strategy, finance, pricing, forecasting & litigation. You'll also be responsible for presenting analysis to stakeholders within the team and across the wider company.

Accountabilities and Responsibilities:

• Build, enhance, and maintain predictive models using the most appropriate statistical and machine learning methodologies.
• Be responsible for presenting analysis to stakeholders within the team and across the wider company.
• Gain understanding of Lowell's core business model and identify opportunities to drive significant value through analytic intervention.
• Work closely with other members of the team to build upon existing machine learning knowledge.

What we need from you:

• Degree in a quantitative discipline with a focus in statistics or econometrics.
• Experience building one or more of logistic regression, generalised linear models, or categorical data analysis.
• Experience with one or more machine learning methods (e.g., random forest, k-means clustering).
• Hands on experience of numerical programming (using, e.g., Python, R).
• Solid critical thinking skills, intellectual curiosity, and a willingness to keep looking for better answers.
• Strong coding experience

A mission that gives back:

You'll also have lots of opportunities to make an impact on your personal development. At Lowell we have a big focus on helping our colleagues develop their careers and grow with us, together.

So, whatever your culture, gender identity, religion, ethnicity, age, neurodiversity, or disability status, if you're ready to help us make credit work better for all, we think you'll fit right in. Our people are our strength, so we build strong teams thriving with diverse voices, and offer benefits that can keep our people strong.

That means…

• A competitive salary.
• A discretionary annual bonus for a job well done.
• Flexible working options available
• 3% flexible benefits; pick additional benefits or take as cash each month. Whether this is extra holiday or dental cover there will be something for you.
• We are committed to a hybrid working environment, where we will ask you to work in our Leeds office, which will be based in Thorpe Park.
• Free parking when you are in the office and when working from home, you'll be fully equipped with everything you'll need to be successful.
• 28 days holiday plus public holidays with the option to purchase up to an additional 5 days.
• Life assurance.
• A fantastic culture with more little perks along the way including, self-development opportunities, recognition awards and on-site facilities to support the varying needs of our colleagues.
• Wellbeing support and a programme of webinars and classes geared towards mindfulness.

Ready to share in that mission?

Our people are our greatest asset. That means part of our mission is building a workplace where you can grow with us, and help us go on to make a difference, together.

Together, we go further - and it starts with you. So, if you're interested in adding your voice to our fantastic team of people, take the first step and apply today…