Data Scientist - Fintech (Hybrid)

Our client is a fast-paced fintech company, and they are seeking motivated candidates for an exciting new opportunity. The ideal candidate will be available to start relatively quickly, with the option to begin on a fractional basis before transitioning to full-time. We are looking for individuals who are ready to hit the ground running and bring their expertise to the role.

Our client is seeking a highly technical and analytical Data Scientist to join their dynamic fintech team. In this role, you'll leverage your advanced data science and machine learning skills to analyze complex datasets, extract valuable insights, and support data-driven decisions that will shape the future of financial services. This is an exciting opportunity for a proactive problem-solver with a passion for innovation and the fintech industry to make a meaningful impact on the company's growth and product offerings.

To streamline the shortlisting and selection process, we require candidates to provide their expected annual compensation figures and availability when applying. Please note that applications without this information will not be considered.

We look forward to hearing from you!

Key Responsibilities

• Design, develop, and implement machine learning models and statistical analyses to solve critical business challenges in the fintech space.
• Analyze large, complex datasets to uncover trends, insights, and patterns that can drive product innovation and optimization.
• Collaborate closely with cross-functional teams, including product, engineering, and marketing, to identify business needs and tailor data-driven solutions.
• Continuously evaluate model performance and maintain model integrity, adjusting algorithms and approaches as needed for optimal outcomes.
• Develop data visualization tools and dashboards to present insights effectively and support real-time decision-making for stakeholders.
• Stay up-to-date with advancements in data science, machine learning, and financial technology to ensure the company's practices remain cutting-edge.
• Ensure data privacy and compliance standards are met in line with financial regulations.

Requirements

• Bachelors or Masters degree in Data Science, Computer Science, Mathematics, Statistics, or a related field.
• Proven experience in data science, with a focus on machine learning in the fintech or financial services industry.
• Strong proficiency in Python, R, SQL, and machine learning frameworks (e.g., TensorFlow, PyTorch).
• Expertise in data visualization tools, such as Tableau, Power BI, or custom dashboards.
• Solid understanding of data structures, algorithms, and statistical modelling.
• Demonstrated ability to extract insights from complex datasets and present findings clearly to both technical and non-technical stakeholders.
• Experience with cloud-based data platforms (AWS, GCP, Azure) is a plus.
• Experience in fraud detection, credit scoring, risk modelling, or customer segmentation within the fintech industry.
• Knowledge of big data technologies such as Hadoop, Spark, and NoSQL databases.
• Familiarity with data governance, privacy regulations, and financial industry compliance requirements.