Data Scientist - Job Opportunity at FalconSmartIT

London, United Kingdom
Permanent
Senior
Posted: March 30, 2025
Remote
GBP 70,000 - 95,000 per year based on London market rates for senior data scientists with generative AI expertise

Key Responsibilities

Lead data science initiatives by collaborating with business stakeholders to identify and implement AI-driven solutions
Design and deploy advanced machine learning models using Databricks platform for predictive analytics and anomaly detection
Drive data-driven decision making through complex statistical analysis and pattern recognition
Provide technical leadership and mentorship to junior data scientists while establishing best practices
Develop and implement innovative AI solutions combining both generative and traditional approaches

Requirements

Education

Bachelor's or master's degree in Computer Science, Statistics, Mathematics, or related field

Experience

Proven experience as a Data Scientist

Required Skills

Generative AI and traditional AI techniques Deep learning Natural language processing Statistical modeling Python or R programming Data manipulation libraries (pandas, NumPy, scikit-learn) Databricks Problem-solving and critical thinking Communication and collaboration
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Sauge AI Market Intelligence

Industry Trends

The convergence of traditional ML and generative AI is creating a new breed of data scientist roles that require expertise in both domains, reflecting a significant shift in the industry. Databricks platform expertise is increasingly becoming a differentiator in the data science job market, particularly in enterprise environments. The emphasis on both technical expertise and mentorship capabilities indicates a maturing data science function where knowledge transfer is becoming critical.

Role Significance

Likely part of a medium to large data science team given the mentorship requirements and enterprise technology stack
Senior individual contributor with technical leadership responsibilities, indicating a strategic position within the data science team

Key Projects

Enterprise-scale machine learning model deployment using Databricks Generative AI implementation for business process optimization Cross-functional data science initiatives requiring stakeholder management

Success Factors

Ability to bridge traditional ML and generative AI approaches effectively Strong communication skills to translate complex technical concepts for business stakeholders Experience with enterprise-scale data science platforms and workflows Track record of delivering measurable business impact through data science solutions

Market Demand

Very high, particularly due to the combination of Databricks expertise and generative AI knowledge, which are both in significant demand in the UK market

Important Skills

Critical Skills

Generative AI expertise - Essential for developing next-generation AI solutions Databricks proficiency - Core platform for enterprise data science workflows Statistical modeling - Fundamental for maintaining rigor in AI solutions Communication skills - Critical for stakeholder management and team leadership

Beneficial Skills

Cloud platform expertise (likely Azure given Databricks focus) MLOps practices and tools Business domain knowledge in enterprise IT Agile methodology experience

Unique Aspects

Combination of Databricks and generative AI expertise requirements indicates cutting-edge technical environment
Balance of technical depth and leadership responsibilities suggests strong career development opportunities
Remote work options while maintaining connection to London's tech ecosystem

Career Growth

2-3 years in role before progression to lead or principal positions, depending on impact and organizational growth

Potential Next Roles

Lead Data Scientist Principal Data Scientist Head of AI/ML Chief Data Scientist

Company Overview

FalconSmartIT

Technology-focused company likely operating in the enterprise IT solutions space, with a strong emphasis on AI and ML capabilities

Mid-sized enterprise IT services provider competing in the UK market
UK-based with potential European operations, focusing on London's financial and technology sectors
Modern, technology-driven environment with emphasis on innovation and professional development
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