Research Data Scientist
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’ll 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’ll 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’re 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’re taking positive action to shape a collaborative and diverse future in the workplace.
