Senior Data Scientist – Retail and Consumer
Faculty
CaffeNumpyPandasPythonPyTorchScikit-LearnSQLTensorflow
Lead Data Scientist – Retail, Consumer
Faculty
full-time
Posted on:
Location Type: Hybrid
Location: London • 🇬🇧 United Kingdom
Visit company websiteJob Level
Senior
Tech Stack
NumpyPandasPyTorchScikit-LearnTensorflow
About the role
- Guide technical delivery of custom data science solutions
- Own end-to-end data science approach
- Design robust software architecture
- Partner with commercial teams to build relationships
- Articulate technical concepts to diverse audiences
- Manage and mentor data scientists
- Contribute to a high standard of performance
- Establish a differentiated data science vision
- Share latest technical advancements
Requirements
- Deep technical expertise in machine learning
- Command of diverse methodologies
- Grasp of data science and statistical techniques
- Proficiency in data science libraries (e.g., NumPy, Pandas, Scikit-Learn)
- Familiarity with a deep-learning framework (e.g., TensorFlow, PyTorch)
- Experience enabling impactful change with AI in financial services
- Proven experience leading data science projects
- Exceptional communication skills
- Strategic mindset with financial services sector trend awareness
- Passion for developing people and mentoring others
- Motivated to contribute to the wider data science community
Benefits
- The Faculty team is diverse and distinctive
- Opportunity to work with brilliant minds
- Professional challenge of a lifetime
- Support for building professional profile
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningdata sciencestatistical techniquesNumPyPandasScikit-LearnTensorFlowPyTorchdata science methodologiesAI
Soft skills
communication skillsmentoringstrategic mindsetrelationship buildingarticulating technical conceptsperformance contributionpassion for developmentleadershipcollaborationmotivation
