At a Glance
- Tasks: Uncover key drivers of product performance using advanced data analysis and machine learning techniques.
- Company: Dynamic company focused on leveraging data for strategic decision-making.
- Benefits: Competitive pay, flexible working arrangements, and exposure to senior leadership.
- Other info: Join a high-impact project with opportunities for professional growth and development.
- Why this job: Make a real impact by transforming complex data into actionable 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
We are shortlisting w/c 1st June with the ideal start within the next 2 weeks. 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.
Data Scientist (Contract) in Manchester employer: The MRJ Group
Join a forward-thinking company that values innovation and analytical excellence, where your contributions as a Data Scientist Contractor will directly shape strategic decisions and drive business performance. With a collaborative work culture that encourages professional growth and offers exposure to senior leadership, you'll have the opportunity to work on impactful projects in a dynamic environment. Located in a vibrant area, we provide a supportive atmosphere that fosters creativity and teamwork, making it an ideal place for those looking to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist (Contract) in Manchester
✨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 complex data findings in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Plus, it gives you a chance to showcase your enthusiasm for the role right from the start.
We think you need these skills to ace Data Scientist (Contract) in Manchester
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 those 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’re considered for this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at The MRJ Group
✨Know Your Data Science Stuff
Make sure you brush up on your machine learning techniques, especially supervised and unsupervised methods. Be ready to discuss how you've applied these in past projects, as well as your experience with model interpretability techniques like SHAP.
✨Tell a Compelling Story
Prepare to explain complex analytical findings in a way that’s easy for both technical and non-technical folks to understand. Think about how you can turn your insights into a narrative that highlights the business value of your work.
✨Show Off Your Stakeholder Skills
Since this role involves working closely with senior leadership, practice how you’ll communicate your findings. Be ready to discuss how you’ve engaged stakeholders in the past and how you can create outputs that resonate with them, perhaps using tools like Streamlit.
✨Challenge Assumptions
Demonstrate your ability to validate existing work and challenge assumptions during the interview. Prepare examples where you’ve successfully questioned the status quo and provided trusted recommendations based on your analysis.
