At a Glance
- Tasks: Uncover key drivers of product performance using advanced data analysis and machine learning.
- Company: Dynamic company focused on data-driven decision-making and innovation.
- Benefits: Competitive pay, flexible working arrangements, and exposure to senior leadership.
- Other info: Join a high-impact project with great opportunities for professional growth.
- Why this job: Make a real impact by shaping business strategies with your data insights.
- Qualifications: Experience in Data Science, strong Python and SQL skills, and excellent communication abilities.
The predicted salary is between 50000 - 70000 £ per year.
Are you passionate about uncovering the hidden drivers behind business performance? We're looking for an experienced Data Scientist Contractor to help us identify what makes the highest-performing products in our portfolio stand out and translate those insights into actionable business decisions.
The Opportunity
You'll work on a high-impact project focused on understanding the characteristics of successful products across a large and diverse portfolio. Building on existing analysis, you'll validate current assumptions, apply advanced machine learning techniques, and develop a robust framework that explains the key drivers of product performance. This is a highly visible piece of work that will influence strategic decision-making across the business and provide direct exposure to senior leadership stakeholders.
What You'll Be Doing
- Validating and enhancing existing analytical models and hypotheses.
- Applying unsupervised learning techniques to segment and cluster product data.
- Building supervised learning models to identify and predict high-performing products.
- Using model explainability techniques such as SHAP to uncover and communicate key performance drivers.
- Turning complex analytical findings into clear, compelling narratives for both technical and non-technical audiences.
- Developing scalable, programmatic solutions using data housed within Snowflake.
- Creating engaging stakeholder-facing outputs, ideally leveraging Streamlit.
What/who we're Looking For
- Proven commercial experience delivering Data Science projects from problem definition through to insight generation.
- Strong expertise in both supervised and unsupervised machine learning.
- Experience with model interpretability techniques, particularly SHAP.
- Excellent stakeholder communication and storytelling skills.
- Strong Python and SQL capabilities.
- Experience working with Snowflake and ideally Streamlit.
- Ability to challenge assumptions, validate existing work, and build trusted recommendations.
Next steps
If you enjoy turning complex data into clear business value and want to help define what "great" looks like across a large product portfolio, we'd love to hear from you. We are shortlisting w/c 1st June with the ideal start within the next 2 weeks.
Data Scientist (Contract) in Bolton employer: MRJ Recruitment
Join a forward-thinking company that values innovation and collaboration, where your expertise as a Data Scientist will directly influence strategic decisions and drive business success. With a strong commitment to employee growth, we offer a dynamic work culture that encourages continuous learning and the opportunity to engage with senior leadership on high-impact projects. Located in a vibrant area, our workplace fosters creativity and teamwork, making it an ideal environment for those looking to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist (Contract) in Bolton
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field and let them know you're on the lookout for opportunities. You never know who might have a lead or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving machine learning and data analysis. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your storytelling skills. Be ready to explain your analytical findings in a way that resonates with both technical and non-technical audiences. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Data Scientist (Contract) in Bolton
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with data science projects, especially those involving machine learning. We want to see how you've tackled similar challenges before, so don’t hold back on the details!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you're the perfect fit for this role. Share your passion for data and how you can help us uncover the hidden drivers of product performance. Keep it engaging and relevant!
Showcase Your Skills:Don’t forget to mention your expertise in Python, SQL, and any experience with Snowflake or Streamlit. We’re looking for someone who can hit the ground running, so let us know what tools you’re comfortable with!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at MRJ Recruitment
✨Know Your Data Inside Out
Before the interview, dive deep into the data science projects you've worked on. Be ready to discuss specific models you've built, the techniques you used, and the outcomes. This will show your expertise and help you connect your experience to the role.
✨Master the Art of Storytelling
Since you'll need to communicate complex findings to both technical and non-technical audiences, practice turning your analytical insights into compelling narratives. Think about how you can explain your work in a way that highlights its business impact.
✨Brush Up on Machine Learning Techniques
Make sure you're comfortable discussing both supervised and unsupervised learning techniques. Be prepared to explain how you've applied these methods in past projects, especially focusing on model interpretability techniques like SHAP.
✨Engage with Stakeholders
Since this role involves creating outputs for stakeholders, think about how you can demonstrate your communication skills. Prepare examples of how you've successfully engaged with stakeholders in the past and how you turned their feedback into actionable insights.
