Forward Deployed Data Analyst
Job in
City of Westminster, Central London, Greater London, England, UK
Listed on 2026-02-08
Listing for:
Deepstreamtech
Full Time
position Listed on 2026-02-08
Job specializations:
-
IT/Tech
Data Analyst, Data Science Manager, Data Scientist, AI Engineer
Job Description & How to Apply Below
Requirements
- Proficient in Python
- (Desirable) Quick learner who can master new AI/ML platforms and concepts
- Quantitative degree (mathematics, statistics, economics, physics, computer science, psychology, or related field)
- (Desirable) Be able to identify root cause of technical issues in data and evaluation pipelines
- 1-4 years in data analysis, market research, consulting, or customer-facing technical roles
- Excellence at translating complex technical concepts for non-technical executives
- Proven ability to manage sophisticated customer relationships independently
- Thrives in ambiguous, fast-moving startup environments
- As a Forward Deployed Analyst, you'll be the critical bridge between our AI platform and the end user. Working directly with clients, you'll configure synthetic populations that mirror their real-world audiences and help them extract maximum value from behavioral insights
- This high-impact, customer-facing technical role operates at the intersection of AI, data science, and strategic consulting - ideal for someone with a quantitative/data science background looking to move into AI products
- Transform Datasets to Onboard onto our Product:
Design synthetic population queries by onboarding custom datasets for customers - Improve Data Pipelines:
Diagnose data issues and partner with engineering to enhance platform capabilities - Build confidence through rigor:
Evaluate synthetic methodologies using established validation frameworks to build client trust in AI insights for high-stakes decisions - Lead technical engagements:
Own the technical dialogue with customers—understand their data, design optimal solutions, and implement them collaboratively - Shape our product:
Represent the voice of the customer - gather field feedback and inform product priorities based on real implementation patterns - Scale adoption:
Enable customers to unlock full product value across the whole organisation through effective training, documentation, and use case storytelling - Working with high-agency individuals from all backgrounds across sales, marketing, engineering and science.
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