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Data Scientist (VP)
at
BlackRock
London, England, United Kingdom
Apply Now
Not Specified
Compensation
Expert & Leadership (9+ years)
Experience Level
Full Time
Job Type
Unknown
Visa
Financial Services, Asset Management, Private Markets
Industries
Requirements
Expertise in data science, machine learning, and AI
Ability to operate as a “full-stack” Data Scientist, taking projects from problem formulation to production
Proficiency in writing quality code to realize models, perform analytics, and draw actionable insights from data
Experience leveraging software development tools and platforms to enable and support solutions
Strong collaboration skills with engineering teams across the business
Capability to lead individual and group projects, driving them towards desired outcomes
Experience forging constructive business relationships with key stakeholders
Ability to prioritize and refine own work and tasks relating to projects
Skills in designing and running focused experiments targeting specific business outcomes
Proficiency in presenting results and recommendations clearly, succinctly, and honestly to various audiences
Ability to use compelling storytelling to contextualize data visualizations/insights and inspire action
Knowledge of exemplifying and demonstrating best-practice data science and machine learning
Responsibilities
Accelerate data collection at scale from millions of sources
Design, build, and deploy workflows at scale that seamlessly combine AI/ML with human expertise
Elevate development standards and empower others to adopt them through reusable services, frameworks, templates, and knowledge sharing
Collaborate with engineering teams across the business to improve time to value and ensure the best options for internal technical solutions are known
Explore new technologies, approaches, and ideas that help drive business goals in unexpected ways
Understand and translate business problems into data science/machine learning solutions
Align desired business outcomes with clear and observable success measures
Determine the value proposition of data science/machine learning solutions versus alternatives
Propose smart, pragmatic, and diverse approaches to address a variety of business problems
Lead individual and group projects, driving them towards the desired outcome
Forge constructive business relationships with key stakeholders
Prioritize and refine own work and tasks relating to the projects led and contributed to
Design and run focused experiments targeting specific business outcomes
Write quality code to realize models, perform analytics, and draw actionable insights from data
Leverage software development tools and platforms to enable and support solutions
Exemplify and demonstrate best-practice data science and machine learning across the business
Present results and recommendations clearly, succinctly, and honestly to a variety of audiences
Use compelling storytelling to contextualize data visualizations/insights and inspire action
Skills
Machine Learning
AI
Data Engineering
Platform Engineering
Authentication
User Management
Data Management
Architectural Oversight
Automation
BlackRock
Website
About BlackRock
New York City, New York
Headquarters
1988
Year Founded
$78,647.7M
Total Funding
IPO
Company Stage
Fintech, Financial Services
Industries
Benefits
Health Insurance
Unlimited Paid Time Off
Mental Health Support
Wellness Program
401(k) Retirement Plan
Risks
FDIC scrutiny could lead to regulatory challenges for BlackRock.
Workforce reduction may indicate internal financial pressures or strategic shifts.
Involvement in Yangzijiang Shipbuilding exposes BlackRock to geopolitical risks.
Differentiation
BlackRock's Bitcoin ETF, IBIT, reached over $50 billion in assets quickly.
The firm is developing a layer-2 tokenized real-world asset platform on Ethereum.
BlackRock's partnership with Frax Finance enhances its stablecoin market presence.
Upsides
IBIT's success attracts a broader range of cryptocurrency investors.
The Ethereum platform positions BlackRock as a leader in blockchain financial services.
Partnership with Frax Finance enhances digital finance offerings and compliance.
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