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- Tasks: Drive innovative research using advanced analytics and machine learning in the financial services sector.
- Company: Join a disruptive SaaS company in Manchester with a focus on innovation.
- Benefits: Flexible remote work, competitive salary, and opportunities for continuous learning.
- Why this job: Be at the forefront of data science and make a real impact in a growing industry.
- Qualifications: Experience in data science, strong analytical skills, and proficiency in Python or R.
- Other info: Diverse and inclusive culture that values different perspectives.
The predicted salary is between 28800 - 48000 £ per year.
Location: Manchester (2 days a week in City Centre, flexible remote)
Are you a talented and driven data scientist passionate about pushing the boundaries of innovation within the financial services industry? Join a disruptive SaaS company in Manchester as they build a brand new Research and Data Science department! You will work alongside a well-established Data & Analytics team (spanning data science, engineering, and analytics) and report to the newly appointed Head of Data Science & Research, contributing to the strategic roadmap and driving cutting-edge research initiatives.
About the Role:
As a Research Data Scientist, you will play a critical role in developing and executing the company's research agenda, focusing on experimental and hypothesis-driven approaches. You will leverage advanced analytics, machine learning, and AI techniques to solve complex industry problems and contribute to the creation of innovative solutions.
Key Responsibilities:
- Hypothesis Development & Testing: Formulate testable hypotheses, design rigorous methodologies, and develop simulation environments to validate ideas and inform commercial decisions.
- Model Development & Implementation: Build and deploy advanced analytical models, machine learning algorithms, and AI solutions to address complex business challenges.
- Data Analysis & Insights: Conduct in-depth data analysis to identify trends, patterns, and opportunities for innovation.
- Collaboration: Work closely with data engineers, data analysts, and business stakeholders to ensure the effective integration of research insights into product development and business strategy.
- Experimentation & Validation: Design and execute experiments to validate research findings and measure the impact of new solutions.
- Documentation & Communication: Clearly document research methodologies, findings, and recommendations, and communicate effectively to both technical and non-technical audiences.
- Continuous Learning: Stay up-to-date with the latest advancements in data science, machine learning, and AI, and contribute to the continuous improvement of research methodologies and tools.
Ideal Candidate Profile:
- Proven experience as a data scientist, with a focus on research and experimentation.
- Strong understanding of statistical modeling, machine learning algorithms, and AI techniques.
- Experience in designing and executing experiments, and validating research findings.
- Proficiency in programming languages such as Python or R, and experience with relevant data science libraries and frameworks.
- Experience working with large datasets and cloud-based data platforms.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills.
- Passion for innovation and a desire to contribute to cutting-edge research initiatives.
This is a unique opportunity to join a growing company at the forefront of innovation in the financial services industry. If you are a talented and driven data scientist with a passion for research, we encourage you to apply!
Mirai believes in the power of diversity and the importance of an inclusive culture. It welcomes applications from individuals of all backgrounds, understanding that a range of perspectives strengthens both its team and its partners’ teams. This is just one of the ways they are taking positive action to shape a collaborative and diverse future in the workplace.
Research Data Scientist employer: Mirai Talent
Contact Detail:
Mirai Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Data Scientist
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or conferences related to data science. You never know who might be looking for someone just like you!
✨Show Off Your Skills
Create a portfolio showcasing your projects and experiments. Use platforms like GitHub to share your code and findings. This gives potential employers a taste of what you can do and how you think!
✨Ace the Interview
Prepare for technical interviews by brushing up on your machine learning algorithms and statistical methods. Practice explaining your thought process clearly, as communication is key in this role!
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our innovative team!
We think you need these skills to ace Research Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Research Data Scientist role. Highlight your experience with hypothesis development, machine learning, and any relevant projects that showcase your skills in data analysis and model implementation.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for innovation in the financial services industry and how your background aligns with our mission at StudySmarter. Don’t forget to mention specific examples of your work!
Showcase Your Technical Skills: We want to see your technical prowess! Be sure to include your proficiency in programming languages like Python or R, and any experience you have with data science libraries. This will help us understand your capabilities right off the bat.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. 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 Mirai Talent
✨Know Your Research
Before the interview, dive deep into the company's research agenda and recent projects. Familiarise yourself with their methodologies and any innovative solutions they've developed. This will not only show your genuine interest but also help you discuss how your skills can contribute to their goals.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with programming languages like Python or R, and highlight specific projects where you've used machine learning algorithms or statistical modelling. Bring examples of your work that demonstrate your ability to solve complex problems and validate research findings.
✨Collaboration is Key
Since the role involves working closely with data engineers and business stakeholders, be ready to share examples of how you've successfully collaborated in the past. Discuss how you communicate technical concepts to non-technical audiences, as this will be crucial for integrating research insights into product development.
✨Stay Curious and Up-to-Date
Express your passion for continuous learning by mentioning recent advancements in data science or AI that excite you. This shows that you're not just skilled but also eager to grow and adapt, which is essential in a fast-paced environment like the financial services industry.
