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A strategy and insight consultancy in Central London is seeking a Data Science Manager to lead diverse analytics projects. The role requires strong expertise in data analysis, machine learning, and statistical modeling, with a focus on coaching team members. Candidates should excel in R and Python, and have experience with survey analytics. This position offers a competitive salary range of £55,000 - £65,000 and excellent benefits.
Data Science Manager - Strategy & Insight Consultancy
Central London (Hybrid)
£55 - £65,000 + excellent benefits
Innovative and advanced data science techniques help this strategy and insight consultancy’s clients turn data into smart insights. Joining a growing Data Science & Analytics team you will get the chance to work on challenging and diverse analytics projects, collaborating 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 market research 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 other talented team members and lead innovative analytical initiatives.
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.