62969 – Data Scientist

Career Moves Group; Greater London; On-site; GBP 65,000 - 85,000; Full time

Job summary

A leading company is seeking a seasoned Data Scientist for an 8-month contract in London. You will play a crucial role in supporting client enforcement appeals, working with cross-functional teams, and driving data-driven product decisions. Ideal candidates will have a strong technical background, a passion for optimizing systems for user experience, and proven experience in quantitative analysis and programming.

Qualifications

• Master’s degree required in a relevant discipline.
• Experience in quantitative analysis and data mining.
• Familiarity with SQL and Python for data analysis.

Responsibilities

• Collect, organize, and analyze statistical data for product development.
• Partner with teams to identify trends and solve problems.
• Perform data analyses for tactical and strategic objectives.

Skills

Quantitative analysis

Data mining

Root-cause analysis

SQL

Python

Statistical analysis

Education

Master’s degree in Computer Science or related field

Tools

R

SAS

Matlab

Job description

Data Scientist

Location: London, UK
Length: 8 Months
Start date: 28/07/2025 – 11/03/2026
Rate: £62.02 p/h
Hours: Normal Business Hours

Overview of the role
• Our client is looking for someone to cover Appeals for account enforcements, i.e. when we take an action on a user or advertiser’s account
• They are looking for a seasoned data scientist to support both strategically and operationally
• You will work with Engineers, Designers and Product Managers to: Improve the mechanisms that exist to appeal (e.g. Consider account disables, feature limits and lightweight enforcements) and Identify how we meet the needs and expectations of our users and what opportunities there are to improve. Balance reducing harm on the platform with protecting voice and revenue, alongside regulation and cost guardrails. Align the business on your improvement ideas and support their implementation
• You will also work closely with data partners to establish or improve our measurement capabilities in this space, ensuring that the team always stays on target.

Responsibilities of the role
• Collect, organize, interpret, and summarize statistical data in order to contribute to the design and development of client products
• Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products
• Partner with Product and Engineering teams to solve problems and identify trends and opportunities
• Inform, influence, support, and execute our product decisions and product launches
• May be assigned projects in various areas including, but not limited to, product operations, exploratory analysis, product influence, and data infrastructure
• Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors
• Demonstrate good judgment in selecting methods and techniques for obtaining solutions
• Perform data analyses on tactical (feature-level) and strategic (team objectives and goals) work to drive team direction
• Develop strategic narrative based on analytical insights and priorities

Skills & Attributes
• Excited about giving millions of users a day a more supportive integrity experience when they face client enforcements
• Excited about optimising systems for scale at the intersection of user facing experiences and platform capabilities while balancing multiple competing priorities
• Enjoys thinking through how we best form partnerships with other teams and how scalable solutions should be governed effectively.
• Enjoys getting their hands dirty to understand data and system disconnects and can drive insightful root-cause-analysis
• Passionate about building solid and scalable measurement solutions

Qualifications & Experience
• Requires a Master’s degree in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Economics, Physics, Applied Sciences, or a related field.
• Requires knowledge or experience in the following: Performing quantitative analysis including data mining on highly complex data sets
• Data querying language: SQL
• Scripting language: Python
• Statistical or mathematical software including one of the following: R, SAS, or Matlab
• Applied statistics or experimentation, such as A/B testing, in an industry setting
• Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics