A financial services company in London seeks a Data Scientist to leverage sophisticated data analytics. The successful candidate will create data models, support project planning, and work alongside business stakeholders, requiring strong skills in Python and SQL. This permanent position offers the chance to contribute meaningfully in a dynamic environment.
Qualifikationen
Experience designing, building, and monitoring ML models in business.
Ability to engage with stakeholders for project scoping.
Strong organizational skills and ability to manage multiple priorities.
Aufgaben
Use statistical and ML techniques to find trends in data.
Create high-quality project plans for team direction.
Support models' lifecycle from conception to monitoring.
Kenntnisse
Statistical analysis
Machine learning techniques
Python
SQL
Data presentation
Interpersonal communication
Version control (Git)
Ausbildung
University degree in data science, mathematics, physics, or economics
Jobbeschreibung
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
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