Tony founded SigDiff to continue working on client projects rather than getting promoted ‘upstairs’.

The early part of Tony’s career was spent in analytical roles at major organisations, including Tesco, Mars and Unilever, before joining the market research industry in 2001.

Specialities: Quantitative research and analytical methods like conjoint, segmentation and key drivers.

Ruth has over 20 years of experience as a Data Scientist in the market research industry.

Ruth is a statistical expert with a wealth of experience developing and applying data science and innovative solutions to many research problems.

Specialities: Choice modelling, segmentation, key driver analysis, econometric modelling, automation and dashboards

Jeremiah is a seasoned research professional with nearly two decades of experience in the industry. His expertise spans various sectors, from media and gaming to luxury and telecoms and much else in between.

Prior to joining SigDiff, Jeremiah held several positions at BVA BDRC, most recently as a Research Director in the Media and Branding team. This background has equipped him with a comprehensive understanding of brand dynamics and media landscapes.

Jeremiah’s strengths lie in his versatility and analytical skills. He is proficient in utilising a wide range of research methodologies and analytical techniques to uncover valuable insights for clients.

His expertise extends to both commercial and public sectors, as well as multiple geographical regions, reflecting his capability to conduct and interpret research on a global scale.

Shaun has over ten years of experience using intricate analytical techniques and applies a dedicated, solution-focused approach to data. With a passion for problem-solving, Shaun helps support his clients to retrieve actionable insights.

Having left SigDiff previously to gain further experience elsewhere, we are delighted to welcome him back “home”.

Specialities: Segmentation, key driver analysis

Bhavik has worked in data-focused roles across various industries, including finance, real estate investment, and customer data science. Having recently completed an MSc in Data Science and Machine Learning, he is committed to advancing his career in data science, leveraging his data modelling, visualisation, and statistical analysis skills to uncover insights and support impactful research.

Outside of work, he is a dedicated Arsenal fan, often found at the Emirates Stadium on weekends, and enjoys volunteering at the Neasden Temple.