Data Scientist - Career Moves Group : Job Details

Data Scientist Location: UK, London (Remote)Length: 10 monthsRate: £62.02 p/h (Inside IR35)Hours: 40 hoursThe RoleWe're looking for someone to help manage appeals related to account enforcement actions (like disabling accounts or limiting features) This is a top priority, and we're seeking an experienced data scientist to guide both strategy and day-to-day operations.You'll collaborate with Engineers, Designers, and Product Managers to:

• Improve the appeal process (e.g. account disabling, feature limits, etc.)
• Understand user needs and identify areas for improvement
• Find a balance between protecting the platform, supporting user voices, managing revenue, and following regulations
• Get buy-in from the business on your ideas and help make them happen
• You'll also work with data partners to improve how we measure and track progress in this area, ensuring we stay on course

Day-to-day duties/ key areas:

• Collect, organize, analyse, and summarize statistical data to support the design and development of Our Client’s products
• Use your expertise in quantitative analysis, data mining, and data visualization to uncover insights about user behavior across both consumer and business products
• Collaborate with Product and Engineering teams to identify trends, solve problems, and spot opportunities
• Influence and support product decisions and launches through data-driven insights
• Contribute to a variety of projects, including product operations, exploratory analysis, product strategy, and data infrastructure
• Tackle problems of varying complexity, applying data analysis to assess key factors and generate solutions
• Apply sound judgment in choosing appropriate methods and techniques to solve problems effectively
• Conduct tactical (feature-level) and strategic (team goals and objectives) data analyses to steer team direction
• Develop a strategic narrative grounded in analytical insights and priorities
• Identify key metrics to define success for products and features

• Quantitative analysis and data mining on complex datasets
• Data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical software (e.g., R, SAS, Matlab)
• Applied statistics and experimentation, such as A/B testing in a professional setting
• Communicating analysis results to influence product and leadership strategy
• Machine learning techniques
• ETL (Extract, Transform, Load) processes
• Relational databases and large-scale data processing using distributed systems
• Quantitative techniques like clustering, regression, pattern recognition, and statistical analysis

Minimum Qualifications:

• Master's degree in Computer Science, Engineering, Analytics, Math, Economics, Physics, or a related field
• Experience with quantitative analysis and data mining on complex data sets.
• Proficient in SQL (data querying)
• Proficient in Python (scripting)
• Experience with statistical or mathematical software like R, SAS, or Matlab
• Experience with applied statistics or experimentation (like A/B testing) in a real-world setting
• Knowledge of quantitative techniques like clustering, regression, pattern recognition, and statistics