Data Scientist/ Data Science Manager – Strategic Insight Consultancy
- Employer
- Resources Group
- Location
- London (Hybrid working)
- Salary
- £50-65,000 (depending on experience)
- Closing date
- 22 Dec 2024
View more categoriesView less categories
- Job Role
- Analyst, Associate Director, Consultant, Director, Quantitative Researcher, Statisticians, Strategist
- Sector
- Charities, Information Technology, Banking, Finance and Insurance, Internet / New Media, Media, Public Sector, Retail, Telecommunications , Travel & Hospitality, Environmental, Energy / Utilities, Government / Local Authority, Generalist, Business to Business, Consumer, Consultancy
- Contract Type
- Permanent
- Hours
- Full Time
Job Details
Data Scientist / 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!
To apply or for further information please contact Deborah Lewis, Senior Partner, Resources Group on applytodeborah@resourcesgroup.com or call 0207 242 6321.
Applications will only be considered from those based in the UK with current UK working rights.
About Resources Group
With over twenty five years’ experience helping thousands of Researchers, Insight Specialists and Data Analysts in their career moves, no one has better knowledge of the Market Research, Insights and Marketing Strategy job market than Resources Group. Our consultants take the time to understand your career aims and are dedicated to providing impartial advice and finding you the best career move, with access to an unrivalled range of opportunities with top employers in the sector - visit our website for many more options!
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
Company
We are a team of experts with over two decades’ experience of helping talented Market Researchers, Data Analysts and Insight Specialists in their career moves. With offices in London and Sydney, our expertise covers all aspects of Market Research, Strategic Insights, Innovations and Data Analytics, recruiting across the UK, Australia, Asia and worldwide.
- Website
- http://www.resourcesgroup.com/
- Telephone
- 020 7242 6321
- Location
-
32 Threadneedle Street
London
EC2R 8AY
United Kingdom
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