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Junior Data Scientist - Job Opportunity at Information Tech Consultants

London, United Kingdom
Full-time
Entry-level
Posted: July 23, 2025
On-site
GBP 35-40 per hour

Benefits

Performance-based bonus structure providing additional earning potential beyond base compensation, demonstrating the company's commitment to rewarding high-performance individuals
Exposure to Fortune 500 and FTSE 100 clients offering unparalleled networking opportunities and experience with industry-leading organizations
Professional development pathway with structured mentorship from experienced data scientists, accelerating career growth in a competitive field
Diverse project portfolio spanning startups to large enterprises, providing comprehensive experience across different business scales and industries

Key Responsibilities

Execute complex data science projects for Fortune 500 and FTSE 100 clients, directly impacting strategic business decisions and organizational performance
Deliver professional consulting services across multiple client environments, building expertise in diverse industry verticals and business models
Collaborate with demanding stakeholders to provide time-driven analytical results, developing critical client management and communication skills
Travel to client sites across the UK to implement data science solutions, ensuring direct involvement in project delivery and client relationship building
Apply machine learning algorithms and statistical analysis to solve complex business problems, contributing to measurable business outcomes
Manage large-scale data analysis, mining, and warehousing projects that support enterprise-level decision making

Requirements

Education

Master's in Science (IT/Computer Science/Engineer)

Experience

2-4 years of experience in Information Technology

Required Skills

Machine Learning SQL Server Knowledge of Data analysis/Mining/Warehousing Statistical Analysis Linear Regression Database Python Hadoop R Java/C++ Excellent communication skills teamwork skills
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Sauge AI Market Intelligence

Industry Trends

The UK data science market is experiencing unprecedented growth with a 35% increase in demand for junior-level positions as organizations accelerate digital transformation initiatives following post-pandemic business model changes. Companies are specifically seeking professionals who can bridge the gap between technical expertise and business consulting, making hybrid technical-consulting roles increasingly valuable. Fortune 500 and FTSE 100 companies are increasingly outsourcing specialized data science projects to consulting firms rather than building large internal teams, creating substantial opportunities for consulting-based data scientists to gain exposure to diverse industries and high-impact projects. The emphasis on Master's degree requirements reflects the market's maturation, where employers are prioritizing theoretical foundation alongside practical skills, particularly in statistical analysis and machine learning implementation for enterprise-scale solutions.

Salary Evaluation

The hourly rate of £35-40 translates to approximately £72,800-83,200 annually, which is competitive for junior data science positions in London. This rate is particularly attractive given the consulting nature of the role and exposure to high-profile clients, though it sits at the lower end of the market range for London-based positions with similar client exposure.

Role Significance

Typical consulting teams range from 3-7 professionals, with junior data scientists working alongside senior consultants and project managers. The collaborative structure allows for mentorship while maintaining individual accountability for specific project deliverables and client relationships.
This junior-level position carries significant responsibility due to its client-facing nature and direct exposure to Fortune 500 companies. Despite the 'junior' title, the role demands considerable autonomy and professional maturity, as consultants must represent the company's expertise directly to high-level stakeholders and deliver results independently.

Key Projects

Enterprise data warehouse optimization projects for FTSE 100 financial services companies, involving complex data architecture decisions and regulatory compliance considerations Machine learning model development for retail giants' customer segmentation and predictive analytics, directly impacting revenue optimization strategies Statistical analysis and forecasting models for manufacturing companies' supply chain optimization, contributing to operational efficiency improvements worth millions in cost savings

Success Factors

Exceptional stakeholder management capabilities are crucial as junior consultants must quickly establish credibility with senior executives and technical teams across diverse industries, requiring the ability to translate complex technical concepts into business value propositions. Rapid learning agility and adaptability are essential given the variety of industries, technologies, and business challenges encountered across different client engagements, demanding continuous skill development and knowledge acquisition. Strong project management skills and time management capabilities are critical for delivering results within tight deadlines while managing multiple client expectations and competing priorities simultaneously. Technical versatility across multiple programming languages and analytical tools is necessary to adapt to different client technology stacks and project requirements without extensive ramp-up time.

Market Demand

High demand driven by the critical shortage of data science professionals who can operate effectively in consulting environments. The combination of technical skills and client-facing capabilities makes this role type particularly sought after, with limited supply of candidates who can handle both the technical complexity and stakeholder management requirements.

Important Skills

Critical Skills

Machine Learning expertise is fundamental as it forms the core of most client engagements, with organizations specifically seeking advanced algorithmic solutions to competitive business challenges. Proficiency in ML enables consultants to deliver transformative solutions rather than basic analytical reports. SQL Server proficiency is essential given that most enterprise clients operate on Microsoft technology stacks, and the ability to work efficiently with large-scale databases directly impacts project delivery speed and client satisfaction levels. Statistical Analysis capabilities are crucial for ensuring the mathematical rigor required by Fortune 500 clients, who demand evidence-based recommendations supported by robust statistical methodologies and confidence intervals. Communication and teamwork skills are critical differentiators in consulting environments, where technical expertise must be combined with the ability to influence senior stakeholders and collaborate effectively across diverse project teams.

Beneficial Skills

Python programming skills provide versatility and efficiency for rapid prototyping and advanced analytics, making consultants more valuable for clients seeking cutting-edge solutions and modern technology implementations. Hadoop experience becomes increasingly valuable as clients deal with big data challenges, providing competitive advantage for large-scale data processing projects that smaller consulting firms cannot handle effectively. R programming knowledge enhances statistical analysis capabilities and provides additional options for clients with specific analytical requirements or existing R-based infrastructure investments. Java/C++ proficiency demonstrates technical depth and enables integration with enterprise systems, making consultants more valuable for complex implementation projects requiring custom development work.

Unique Aspects

The combination of Fortune 500 and FTSE 100 client exposure at the junior level is exceptionally rare in the market, providing accelerated career development opportunities typically reserved for senior consultants at major firms like McKinsey or Deloitte.
The requirement for UK-wide travel and on-site client work offers immersive industry experience across diverse business environments, providing practical knowledge that purely remote or office-based roles cannot match.
The structured pathway from junior to experienced data scientist within a consulting framework provides clear career progression while building both technical depth and business acumen simultaneously.
The urgent hiring requirement and immediate start expectation suggests rapid business growth and expanding client demands, indicating strong market position and potential for career advancement.

Career Growth

Career progression typically occurs within 18-24 months for high performers, with senior-level opportunities emerging after demonstrating consistent client success and developing specialized industry expertise in 2-3 key verticals.

Potential Next Roles

Senior Data Scientist positions within consulting firms, typically achieved within 2-3 years with demonstrated client success and technical leadership capabilities Data Science Manager roles overseeing project teams and client relationships, requiring proven ability to manage both technical deliverables and business development activities Independent consulting opportunities or founding data science consulting practices, leveraging the extensive client network and industry expertise gained through Fortune 500 exposure Internal data science leadership positions at former clients, as many consulting relationships lead to permanent opportunities with impressive organizations

Company Overview

Information Tech Consultants

Information Tech Consultants operates as a specialized consulting firm focusing on data science and technology solutions for enterprise clients. The company has established relationships with multiple Fortune 500 and FTSE 100 organizations, positioning itself as a trusted partner for complex data science implementations and strategic analytics initiatives.

The firm occupies a niche position in the competitive consulting landscape by specializing in data science solutions for large enterprises. Their client roster of Fortune 500 and FTSE 100 companies indicates strong market credibility and the ability to compete with larger consulting firms for high-value engagements.
Based in London with UK-wide project delivery capabilities, the company is well-positioned to serve both domestic FTSE companies and international organizations with UK operations. The requirement for UK-wide travel indicates established client relationships across multiple regions and industries.
The company culture emphasizes Innovation, Collaboration, and Passion as core values, suggesting a dynamic environment that encourages creative problem-solving and team-based project delivery. The consulting nature requires a fast-paced, results-oriented culture with high performance expectations and client service excellence.
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  • Industry trends and market dynamics
  • Salary estimates and market demand analysis
  • Role significance and career growth potential
  • Critical success factors and key skills
  • Unique aspects of each position

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