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- Tasks: Build predictive models and deploy machine learning solutions using Python or R.
- Company: Leading analytics firm with a focus on innovation and collaboration.
- Benefits: Flexible working arrangements and the opportunity to work on impactful projects.
- Why this job: Join a collaborative team and make a real difference in analytics.
- Qualifications: At least 2 years of experience in commercial analytics and strong SQL and Azure skills.
- Other info: Exciting 6-month contract with potential for growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading analytics firm is looking for a Remote Data Scientist for a 6-month contract based in Manchester. The role involves building predictive models, deploying machine learning solutions using Python or R, and creating dashboards in Power BI.
Candidates should have at least 2 years of experience in a commercial analytics setting, alongside strong proficiency in SQL and Azure.
This position offers flexible working arrangements and a chance to work on impactful projects with a collaborative team.
Remote Data Scientist — 6-Month Contract, Azure ML & Power BI in Manchester employer: Moldstud
Contact Detail:
Moldstud Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Data Scientist — 6-Month Contract, Azure ML & Power BI in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the analytics field and let them know you're on the lookout for opportunities. You never know who might have a lead on a Remote Data Scientist role or can refer you to someone in their network.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models, dashboards, and any machine learning projects you've worked on. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your SQL, Azure ML, and Power BI knowledge. Be ready to discuss your past projects and how you've used these tools to solve real-world problems. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of exciting roles, including the Remote Data Scientist position. It’s super easy, and you’ll be one step closer to landing that dream job with us.
We think you need these skills to ace Remote Data Scientist — 6-Month Contract, Azure ML & Power BI in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with predictive models and machine learning solutions. We want to see how your skills in Python or R, SQL, and Azure shine through!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for this role. Share specific examples of your past projects and how they relate to what we do at StudySmarter.
Showcase Your Projects: If you've worked on any relevant projects, especially using Power BI, don’t forget to mention them! We love seeing real-world applications of your skills.
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!
How to prepare for a job interview at Moldstud
✨Know Your Tech Stack
Make sure you brush up on your skills with Python, R, SQL, and Azure. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Predictive Modelling Skills
Prepare to talk about your experience in building predictive models. Have examples ready that demonstrate your thought process, the algorithms you chose, and the impact of your models on previous projects.
✨Dashboards That Dazzle
Since Power BI is a key part of the role, think about how you can showcase your dashboard creations. Bring along examples or be prepared to describe how you’ve turned complex data into insightful visualisations that drive decision-making.
✨Collaborative Spirit
This role involves working with a team, so be ready to discuss how you’ve collaborated with others in past roles. Share examples of how you’ve contributed to team projects and how you handle feedback and differing opinions.
