​Data Science Manager – Strategic Insight Consultancy

Central London (Hybrid), £60 - £65,000 + excellent benefits

Innovative and advanced data science techniques help this strategic insight consultancy’s clients turn data into smart insights. There is no better time to join their growing analytics team in this highly respected consultancy. The projects will be challenging and diverse and you will collaborate closely with range of clients and stakeholders across the business advising on best analytical approaches to guide your clients’ decisions.

With strong data analysis, machine learning and statistical modelling expertise you will lead projects across multiple sectors including technology, financial services, public sector, retail, utilities and more.  You will be able to showcase your expertise in modelling survey data, multivariate statistics, segmentation, conjoint analysis and behavioural analysis.  

Utilising your strong communication skills, you will also play a central role in coaching and training and managing other talented team members and lead innovative analytical initiatives.

You will bring experience working in data science/ statistics from a consultancy environment, and be an expert in R and/ or Python. Conjoint analysis expertise is a must.   Experience of survey analytics such as MaxDiff, TURF; knowledge of machine learning methods, text analytics or organisational analytics would also be advantageous.

Offering a forward thinking, dynamic work environment that encourages an entrepreneurial thinking, this is a fantastic opportunity to progress your Data Science career in an expanding strategic consultancy where you can contribute your expertise to impactful and exciting studies!

Resources Group’s Diversity and Equality Policy determines that we submit applicants to our clients on the basis of merit and ability, regardless of race, colour, age, disability, family responsibilities, gender, marital status, nationality, religious or political views or affiliations, sexual orientation or socio-economic background.