Senior AI & Data Scientist leading advanced analytical model development for tech company. Ensuring robust data architecture and deploying AI solutions from analysis to production.
FA
Hybrid Data Scientist – Advanced Analytics
Posted 2 months ago
About the role
- Data Scientist utilizing advanced analytical techniques in financial regulation at FCA. Driving innovation by uncovering insights from complex datasets and shaping future regulatory frameworks.
Responsibilities
- Drive innovation across the organisation by delivering projects that uncover meaningful insights from complex datasets, empowering smarter decision making, simplifying processes, and anticipating risks before they arise
- Guide technical delivery across the full project lifecycle from understanding requirements to successful implementation, working closely and collaboratively with stakeholders at every level to create solutions that truly make a difference
- Support and nurture talent by mentoring junior team members, helping them grow their technical confidence and problem-solving skills, while ensuring best practices in data science are consistently upheld
- Advocate for advanced analytics throughout the organisation, encouraging the adoption of cutting-edge techniques and fostering an inclusive, collaborative culture where data driven decisions thrive
- Shape the future of financial regulation through bold, experimental projects that protect millions of UK consumers and contribute to long term, sustainable economic growth
- Expand your expertise and influence by embracing emerging technologies, tackling diverse business challenges, and building strong connections through cross functional collaboration opportunities
Requirements
- Proven experience in applying data science and machine learning techniques and methods to practical business problems
- Prior experience using Python, R or similar, to analyse, transform and visualise data
- Degree in mathematics, statistics, computer science or related field
- Exposure to technologies such as Generative AI and large language models; Natural Language Processing; Network Analytics; Predictive Modelling
- Experience in creating clear and engaging data visualisations using dashboarding tools (e.g. Tableau and Power BI)
- Knowledge SQL and relational databases
- Experience with cloud computing architecture (e.g. AWS and its services)
- Ability to apply data science techniques in the Financial Services industry
- Familiarity with financial regulation or other regulatory areas
Benefits
- 25 days annual leave plus bank holidays
- Hybrid model with up to 60% remote work
- Non-contributory pension (8–12% depending on age) and life assurance at eight times your salary
- Private healthcare with Bupa, income protection, and 24/7 Employee Assistance
- 35 hours of paid volunteering annually
- A flexible benefits scheme designed around your lifestyle
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