As a Senior Data Scientist, you'll be instrumental in leading, designing, and delivering data & AI/ML products, preferably with a background in the Financial sector. Your role will involve leading advanced analytics and ML projects, mentoring junior team members, and driving innovation through cutting-edge data solutions.
Key Responsibilities of the Senior Data Scientist:
- Lead and execute complex data science projects using a combination of open-source and cloud tools, driving innovation and delivering actionable insights.
- Collaborate with business stakeholders to identify data-driven opportunities, design experiments, and develop predictive models.
- Identify opportunities for innovation through analytics, influencing business stakeholders, and shaping them into viable candidates aligned with strategic objectives.
- Develop and deploy advanced machine learning models using cloud-based platforms.
- Apply statistical analysis and hypothesis testing to validate model performance and ensure robustness.
- Coach, guide, and nurture talent within the data science team, fostering growth and skill development.
- Create data visualizations and dashboards to effectively communicate insights to stakeholders.
- Stay updated on the latest data science techniques, tools, and best practices.
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.
- Experience and understanding of the Financial domain, with the ability to influence and shape business use-cases.
- Proven experience as a Data Scientist, with a strong track record of leading and delivering advanced data science projects.
- Proficiency in programming languages such as Python or R, and extensive experience with ML algorithms and models.
- Experience with cloud services like Azure ML studio, Azure functions, Azure Pipelines, Mlflow, Azure Synapse Analytics, etc., is a plus.
- Solid understanding of statistical analysis, hypothesis testing, and experimental design.
- Expertise in machine learning algorithms and frameworks.
- Strong problem-solving skills and the ability to translate business challenges into data science solutions.
- Excellent communication and presentation skills.
- Proven ability to lead and mentor data science teams.
- Flexible and hybrid working – 1 day per week in the office based in Guildford however this could be reduced for the right candidate
- Annual bonus based on business and personal performance.
- Generous pension contributions.
- Development days and support for personal development.
- Discount on products.
- Range of optional flexible benefits.