Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Shape smarter decisions by building predictive models for strategy, finance, and more.
- Company: Join Lowell, a forward-thinking company that values analytics and innovation.
- Benefits: Enjoy flexible benefits, hybrid working, and 28 days holiday plus public holidays.
- Other info: Be part of a supportive culture that celebrates diversity and wellbeing.
- Why this job: Make a real impact with your insights and collaborate with fellow analysts.
- Qualifications: Degree in a quantitative field and experience with statistical models and machine learning.
The predicted salary is between 35000 - 45000 ÂŁ per year.
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.
Location: Thorpe Park, Leeds, Hybrid working.
Qualifications:
- 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.
Benefits:
- 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 feel 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).
Decision Science Analyst employer: Lowell
Contact Detail:
Lowell Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Decision Science Analyst
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Lowell on LinkedIn. A friendly chat can give you insider info and might just lead to a referral, which is always a bonus!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your predictive models and analyses. When you get the chance to chat with hiring managers, having tangible examples of your work can really set you apart.
✨Tip Number 3
Practice makes perfect! Get ready for those interviews by brushing up on common data science questions and case studies. We recommend doing mock interviews with friends or using online platforms to build your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Lowell team. Don’t miss out on this opportunity!
We think you need these skills to ace Decision Science Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Decision Science Analyst role. Highlight your experience with predictive models, machine learning methods, and any relevant programming languages like Python or R.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about decision science and how you can contribute to our team. Share specific examples of your analytical work and how it has made an impact in previous roles.
Showcase Your Analytical Skills: In your application, don’t just list your skills—demonstrate them! Include examples of projects where you've built or enhanced models, and explain the techniques you used. This will help us see your critical thinking in action.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Lowell
✨Know Your Models
Make sure you brush up on the predictive models mentioned in the job description, like logistic regression and generalised linear models. Be ready to discuss your experience with these techniques and how you've applied them in real-world scenarios.
✨Showcase Your Coding Skills
Since strong coding experience is crucial for this role, prepare to demonstrate your proficiency in Python or R. You might be asked to solve a coding problem or explain your previous projects, so have examples ready that highlight your numerical programming skills.
✨Prepare for Scenario Questions
Expect questions that assess your critical thinking and problem-solving abilities. Think of specific situations where you've used analytics to drive decisions or improve processes, and be prepared to explain your thought process clearly.
✨Engage with Stakeholders
As you'll need to present your analysis to various stakeholders, practice explaining complex concepts in simple terms. Show that you can communicate effectively and engage with different audiences, as this will be key to making an impact in the role.