Senior Data Scientist

A new opportunity has arisen within our clients global organisation, where they committed to leveraging the power of data to drive business growth and innovation. They are looking for an experienced Senior Data Scientist to join their dynamic data science team.

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.

Experience required of the Senior Data Scientist

• 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.

Benefits

• 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.

If you're passionate about data science and ready to make an impact in the financial industry, apply now for the Senior Data Scientist attaching your CV.