Senior Data Scientist, Markets — Lead ML & Insights

Archer; Greater London; On-site; GBP 90,000 - 140,000; Full time

Job summary

Archer (in partnership with BNY) seeks a Senior Specialist, Data Scientist to join the Markets team in London. You will lead advanced data analyses and develop predictive models to forecast business trends, partnering with cross-functional teams to implement data-driven solutions that align with strategic objectives.

The role requires a strong foundation in statistics, machine learning, and programming (Python/SQL) plus excellent communication to translate findings for both technical and

Qualifications

• Bachelor’s degree in Data Science, Computer Science, Statistics, or related field; advanced degree preferred.
• Proficiency in Python or SQL.
• Strong analytical and problem-solving skills.
• Excellent communication skills, with ability to present data-driven recommendations to diverse audiences.

Responsibilities

• Lead complex data analysis initiatives using advanced statistical techniques and machine learning models to generate actionable insights that support business strategy and operational efficiency.
• Partner with cross-functional teams to design and implement data-driven solutions aligned to organizational priorities and business objectives.
• Manage and enhance large datasets while ensuring strong data integrity, accuracy, and governance best practices.
• Develop, maintain, and improve predictive models to forecast business trends and provide data-backed strategic recommendations.
• Stay current on industry trends and emerging data science technologies to strengthen analytical approaches and innovation.
• Communicate findings clearly to stakeholders across all levels, translating complex outputs into meaningful business actions.

Skills

Python

SQL

Education

Bachelor's degree

Job description

Archer (in partnership with BNY) seeks a Senior Specialist, Data Scientist to join the Markets team in London. You will lead advanced data analyses and develop predictive models to forecast business trends, partnering with cross-functional teams to implement data-driven solutions that align with strategic objectives.

The role requires a strong foundation in statistics, machine learning, and programming (Python/SQL) plus excellent communication to translate findings for both technical and