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For Companies At a Glance
- Tasks: Drive innovative research and solve complex problems in financial services.
- Company: Growing SaaS company in Manchester with a focus on ML and AI.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Shape the future of data-driven solutions and work on cutting-edge initiatives.
- Qualifications: Expertise in statistical modeling, machine learning, and programming languages like Python or R.
- Other info: Collaborate with engineers and stakeholders in a dynamic environment.
The predicted salary is between 36000 - 60000 £ per year.
A growing SaaS company in Manchester seeks a Research Data Scientist to drive innovative research in the financial services sector. This mid-senior level role involves hypothesis development, model implementation, and data analysis to solve complex problems.
The ideal candidate has expertise in statistical modeling, machine learning, and programming languages like Python or R. They will also collaborate closely with engineers and stakeholders to integrate research findings into product strategies, shaping the future of data-driven solutions.
Join us to contribute to cutting-edge initiatives!
Hybrid Research Data Scientist: ML & AI Innovation in Manchester employer: Mirai Talent
Contact Detail:
Mirai Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Research Data Scientist: ML & AI Innovation in Manchester
✨Tip Number 1
Network like a pro! Reach out to professionals in the financial services sector and let them know you're on the lookout for opportunities. Attend industry meetups or webinars to connect with potential employers and showcase your passion for ML and AI.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your projects in statistical modelling and machine learning. Use platforms like GitHub to share your code and demonstrate your expertise in Python or R. This will make you stand out when we’re looking for candidates.
✨Tip Number 3
Prepare for those interviews! Brush up on your problem-solving skills and be ready to discuss how you've tackled complex data challenges in the past. We love candidates who can articulate their thought process and collaborate effectively with engineers and stakeholders.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Tailor your application to highlight your experience in driving innovative research and integrating findings into product strategies. We want to see how you can shape the future of data-driven solutions!
We think you need these skills to ace Hybrid Research Data Scientist: ML & AI Innovation in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in statistical modelling and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about the financial services sector and how your expertise can drive innovation at StudySmarter. Keep it engaging and personal!
Showcase Your Technical Skills: Since we’re looking for someone with programming skills in Python or R, make sure to mention any specific projects or experiences where you’ve used these languages. We love seeing practical applications of your knowledge!
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. Don’t miss out on shaping the future of data-driven solutions with us!
How to prepare for a job interview at Mirai Talent
✨Know Your Stuff
Make sure you brush up on your statistical modelling and machine learning concepts. Be ready to discuss specific projects where you've implemented models or solved complex problems, especially using Python or R. This will show that you not only understand the theory but can apply it in real-world scenarios.
✨Prepare for Hypothesis Development
Think about how you would approach hypothesis development in a financial services context. Be prepared to share examples of how you've formulated hypotheses in past roles and the impact they had on your projects. This will demonstrate your ability to think critically and innovatively.
✨Collaboration is Key
Since this role involves working closely with engineers and stakeholders, be ready to discuss your experience in collaborative environments. Share examples of how you've integrated research findings into product strategies and how you communicate complex data insights to non-technical team members.
✨Show Your Passion for Innovation
This company is all about cutting-edge initiatives, so let your enthusiasm shine through! Talk about any recent trends in AI and ML that excite you, and how you see them shaping the future of data-driven solutions. This will help you connect with the interviewers and show that you're genuinely interested in the field.
