Decision Science Analyst
Lowell Group —Leeds
- Full-time
- Hybrid work
- Data analysis skills
- Machine learning
- Python
- Free parking
Master Data Analyst
ghd hair —Leeds
- Full-time
- Microsoft Excel
- SQL
- Data entry
- Work from home
Quick apply
Performance Analyst
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- From £39,375 a year
- Hybrid work
- Data analysis skills
- Business development
- Analysis skills
2d
Sales Analyst
Senior stairlifts ltd —Bradford
- £27,000 a year
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Senior Business Analyst - Data
Jet2.com and Jet2holidays —Leeds
- Full-time
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- Agile
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Junior Data Analyst (Temp June-Sept 26)
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- £25,878 - £30,000 a year
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Quick apply
Finance Analyst
Cox Automotive —Leeds
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Finance Analyst
Greencore Group —Worksop
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Fanatics Betting & Gaming —Leeds
- £75,000 - £83,000 a year
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C4+ Product Growth Manager
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- Full-time
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European Commercial Finance Analyst
Fellowes Brands —Doncaster
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- Full-time
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Tender Support Analyst
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AECOM Advisory - Senior Director
AECOM —Leeds
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Decision Science Analyst

Lowell Group -
Leeds

Apply Now

Job details

Full-time

Benefits

Free parking
On-site gym
On-site parking

Qualifications

Spark
R
Data analysis skills
Machine learning
Regression analysis
Clustering
Python

Full job description

Summary

Job Description

Decision Science Analyst

Location: Thorpe Park, Leeds, Hybrid working.

Join us as a Decision Science Analyst! You’ll play a key role in shaping smarter decisions across the business by building predictive models that support areas like strategy, finance, pricing, forecasting and litigation. You’ll dive deep into Lowell’s core business model to spot opportunities where analytics can deliver real impact, and you’ll bring your insights to life by clearly presenting your analysis to stakeholders across the team and the wider organisation.

Working closely with fellow analysts, you’ll build, enhance and maintain robust models using the most appropriate statistical and machine learning techniques, while continuously sharing and developing machine learning knowledge together as a team.

What we are looking for:

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

If you’re excited about this role but don’t meet every requirement – don’t worry, still apply. Your unique perspective could be just what we’re looking for.

What you’ll get:

A discretionary annual bonus to reward your impact

3% flexible benefits that you can tailor to suit your lifestyle, whether that’s extra cash, more holiday, or added health cover.

Hybrid working for the best of both worlds—collaboration and focus.

Free onsite parking, saving you time and money.

Recharge and refresh opportunities with 28 days of holiday plus public holidays, and the option to buy up to five more—giving you more time for what matters most.

Peace of mind with life assurance that supports your loved ones, no matter what.

A culture that celebrates you and supports your wellbeing – with recognition awards, access to on-site gym facilities, and a variety of wellbeing initiatives offered throughout the year to help you stay balanced, resilient and feeling your best.

Encouragement to be your authentic self at work by joining one of our vibrant employee networks—like Rise (Gender), Proud (LGBTQIA+), Culture, or Spark (Neurodiversity & Disability) - and connect with a community that celebrates and supports you.

So, who are we?

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, (we’re proud to be on their ‘Best Places to Work’ list for the second-year running). 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 colleagues 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.

Ready to join us?

At Lowell, we’re committed to helping you grow—both personally and professionally. We provide the tools, support, and opportunities you need to shape your career and thrive.

We welcome people from all backgrounds and experiences. Whatever your identity - culture, gender, sexual orientation, religion, ethnicity, age, neurodiversity, or disability - if you're passionate about making credit work better for everyone, we’d love to hear from you. Our strength lies in our people, and we’re proud to build inclusive teams supported by benefits that help everyone succeed.

Apply today and put your models at the heart of business strategy.

If you need help with your application or have any questions about the adjustments we can make to support you during the recruitment process, please contact a member of the Lowell Talent Team, who’ll be more than happy to support you.

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Refine Your Search

pricing analyst jobs in barnsley, syk

Decision Science Analyst

Master Data Analyst

Performance Analyst

Sales Analyst

Senior Business Analyst - Data

Junior Data Analyst (Temp June-Sept 26)

Finance Analyst

Finance Analyst

Trading Manager

C4+ Product Growth Manager

Senior Portfolio Analyst

European Commercial Finance Analyst

Tender Support Analyst

Billing Analyst (Fixed Term Contract)

AECOM Advisory - Senior Director

AECOM Advisory - Senior Director (Defence)

Commercial Performance Senior Manager

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