Data Scientist

Cint; City Of London; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A global research technology firm is seeking a Data Scientist to support their Data Science and Analytics teams. The role involves data analysis, statistical modeling, and collaboration with engineering teams. The ideal candidate has a Master's degree and at least 2 years of experience in data science. Strong proficiency in Python and demonstration of machine learning methods are crucial. This position offers a hybrid working environment.

Benefits

Recognition as a top workplace

Flexible working location

Commitment to employee growth

Qualifications

• 2 years of experience in a data science and analytics capacity.
• Ability to manipulate, analyze, and interpret large data sources independently.
• Familiarity with core statistical concepts and techniques.

Responsibilities

• Contribute to development phases for new products/models.
• Analyze large datasets for trends and insights.
• Collaborate with cross-functional teams to achieve project goals.

Skills

Data analysis

Statistical modeling

Machine learning

Python

Data validation

Education

Master's degree in Statistics or related field

Tools

SQL

Spark

Job description

Company Description

Cint is a pioneer in research technology (ResTech). Our customers use the Cint platform to post questions and get answers from real people to build business strategies, confidently publish research, accurately measure the impact of digital advertising, and more. The Cint platform is built on a programmatic marketplace, which is the world's largest, with nearly 300 million respondents in over 150 countries who consent to sharing their opinions, motivations, and behaviours. We are feeding the world's curiosity!

Job Description

The Opportunity

As a Data Scientist at Cint you will have the opportunity to work alongside our Data Science and Analytics teams and collaborate with product and engineering teams to work on Media Measurement and Data Solutions products. This includes data analysis, design of statistical and machine learning model methodologies and codebases, and model validation. The ideal candidate is a self-starter comfortable working with large datasets and knowledgeable in statistical and machine learning techniques, with an eagerness to learn and contribute to the development and validation of products that align Cint capabilities with the market.

What you will do

• Contribute to discovery and development phases for new and existing products/models relating to media measurement
• Participate in model development, validation and maintenance
• Analyze large datasets to identify trends, patterns, and insights, ensuring quality and reliability of results.
• Respond to ad hoc client-specific requests including performing analyses, data manipulation and producing summary results.
• Collaborate with cross-functional teams to deliver on broader project goals.
• Participate in developing methodologies, model validation, and maintenance and enhancement of existing statistical and machine learning models.
• Support evaluation and validation of both internal and external products to ensure Cint's success.
• Communicate insights and recommendations through visualizations and presentations that will resonate with a wide range of audiences.

Qualifications

What we are looking for

• Master's degree or equivalent in Statistics, Quantitative Sciences, Data Science, Operations Research or other quantitative fields.
• 2 years of experience in a data science and analytics capacity, preferably in market research, or advertising analytics.
• Ability to manipulate, analyze, and interpret large data sources independently.
• Familiarity with core statistical concepts and techniques (e.g. properties of distributions, hypothesis testing, parametric/non-parametric tests, survey design, sampling theory, experimental design, regression/predictive modeling, stochastic modeling/simulation, and more).
• Exposure to a variety of machine learning methods (clustering, regression, tree-based models, etc.) and their real-world advantages/drawbacks.
• Practical experience applying statistical and modeling techniques.
• Strong analytical skills with a focus on data validation and accuracy.
• Comfortable with learning new methods, tools, and techniques.
• Able to complete assigned tasks independently while collaborating on overall project direction and broader project goals
• Proficiency in Python (as it relates to statistical analysis and implementing Machine Learning models

Bonus points if you have

• Experience in media measurement and digital attribution
• Experience in multivariate testing
• Experience in online survey methodologies
• Ability to write and optimize SQL queries
• Experience working with big data technologies (e.g. Spark)

Additional Information

Additional information

#LI-Remote

#LI-VT1

Our Values

Collaboration is our superpower

• We uncover rich perspectives across the world
• Success happens together
• We deliver across borders.

Innovation is in our blood

• We're pioneers in our industry
• Our curiosity is insatiable
• We bring the best ideas to life.

We do what we say

• We're accountable for our work and actions
• Excellence comes as standard
• We're open, honest and kind, always.

We are caring

• We learn from each other\'s experiences
• Stop and listen; every opinion matters
• We embrace diversity, equity and inclusion.

More About Cint

We're proud to be recognised in Newsweek's 2025 Global Top 100 Most Loved Workplaces, reflecting our commitment to a culture of trust, respect, and employee growth.

In June 2021, Cint acquired Berlin-based GapFish - the world\'s largest ISO certified online panel community in the DACH region - and in January 2022, completed the acquisition of US-based Lucid - a programmatic research technology platform that provides access to first-party survey data in over 110 countries.

Cint Group AB (publ), listed on Nasdaq Stockholm, this growth has made Cint a strong global platform with teams across its many global offices, including Stockholm, London, New York, New Orleans, Singapore, Tokyo and Sydney. (www.cint.com)

AI Usage

Additionally, in a world of AI, we want our candidates to understand our approach to the use of AI during the interview and hiring process, so we'd appreciate you reading our AI usage guide.