At a Glance
- 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.
- Other info: Diverse and inclusive culture that values different perspectives.
- 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.
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 in Manchester employer: Mirai Talent
Mirai Talent is an exceptional employer that fosters a vibrant work culture centred around innovation and community engagement. With a focus on meaningful missions, employees have the opportunity to grow alongside a dynamic team while contributing to impactful initiatives like 'she does data.' and the 'Let's Talk Data' podcast. Located in Manchester, the company offers flexible working arrangements and a competitive salary package, making it an attractive choice for those seeking a rewarding career in brand and community management.
StudySmarter Expert Advice🤫
We think this is how you could land Research Data Scientist in Manchester
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Mirai Talent!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Research Data Scientist at Mirai Talent.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Mirai Talent.
✨Apply Directly through Our Website
When you find a suitable opening like Research Data Scientist at Mirai Talent, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Research Data Scientist in Manchester
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Mirai Talent, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Mirai Talent. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Mirai Talent
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Mirai Talent!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
