Senior Data Scientist

New Day; London; On-site; GBP 40,000 - 60,000; Full time

Job summary

A financial services company in London is seeking a data scientist to leverage statistical and machine learning methods to uncover insights from data. The ideal candidate will hold a degree in a relevant field and possess strong skills in Python and SQL. They should also demonstrate effective communication abilities and experience in mentoring team members. This role is permanent and requires a proactive approach in a fast-paced environment.

Qualifications

• University degree in a highly analytical discipline.
• Experience designing and deploying ML models in business settings.
• Proficiency in Python and SQL.

Responsibilities

• Use statistical and machine learning techniques to analyze data.
• Create project plans to guide team initiatives.
• Develop and monitor models throughout their lifecycle.

Skills

Statistical analysis

Machine learning

Python programming

SQL

Communication skills

Mentoring

Stakeholder engagement

Git

Education

University degree in data science, mathematics, physics, or similar

Job description

What will you be doing

Use sophisticated statistical and machine learning techniques to identify new trends and relationships in data.

Create high-quality project plans to help shape the future of the team.

Harvest, wrangle and prototype new data sources internally and external to NewDay to create new value for NewDay and our customers.

Provide quality and detailed data science outputs, sharing and following up with as much detail as appropriate or requested by senior managers.

Develop knowledge of all relevant data resources within NewDay and in the wider Credit Industry.

Governance: support the models throughout their lifecycle from conception, development, implementation, testing and monitoring, with the required level of documentation to follow internal procedures and standards.

Skills and Experience

Essential

• University degree in a highly analytical discipline (data science, mathematics, physics, economics, and similar disciplines).
• Demonstrated experience designing, building and assisting in the deployment and monitoring of a diverse range of ML models in real-world business settings.
• Strong proficiency creating models in Python and a solid understanding of SQL for data extraction, transformation and analysis.
• Ability to present sophisticated and detailed findings clearly, adapting the level of detail to the audience, paired with strong interpersonal and written communication skills.
• Previous experience leading and mentoring others-either formal or informal-showing a willingness to support growth and development.
• Experience in proactively engaging with business stakeholders to scope and define projects.
• Knowledge of version control systems, particularly Git, with experience managing codebases and collaborating in team environments.
• Nice to haves: experience with one or more of credit risk, collections risk, affordability, IFRS9 and customer credit behaviours models.

Desirable

• Be self-motivated and comfortable working in a fast-paced environment where priorities evolve.
• Have a strong sense of accountability and ownership, with great organisational, planning and time management skills.
• Have great team spirit, supporting team and colleagues on tasks big and small.
• Enthusiasm for exploring emerging/existing areas of ML, with a drive to bring fresh, innovative ideas and approaches into the business.

Your Personal Attributes

• You are a relentlessly positive person; you see opportunities not issues
• Naturally curious
• Self-starter who can resolve ambiguity and plot a path forward
• Self-reflective, with the drive to continuously find opportunities for improvement
• Superb communicator who can flex your style according to the needs of the audience
• Good attention to detail
• Able to empathise with team-members and business partners

Permanent