
Data Scientist - Based in London office 1-2 days/week
- London
- Permanent
- Full-time
- Statistical analysis/modelling of multiple data sources: research design (e.g. experiment/survey), data pre-processing with a data scientist mentality (“automate & re-use”).
- Small Language Models: be able to prepare and use data to build small language models in conjunction with the Lumanity Application Development & Innovation team.
- Segment complex (market research) data: normalize and ingest data into a range of platforms to aid the use of data by custom AI language models
- Work on the design and implementation of advanced statistical modeling and market research techniques, such as segmentation, demand assessment, choice-based modeling, statistical inference, and predictive modeling, contributing to the development of new analytics capabilities.
- Articulate advanced statistical and data science modelling features into (software) product requirements.
- Work as an integrated effective team member of a software development process.
- Strong degree (2:1) in any analytics related field (e.g. statistics, mathematics, physics, engineering) subject and/or professional qualification.
- 5+ years’ experience in research or professional data science-driven services organization
- 5 years’ experience in research-based analytics/statistical project support role
- Proficient Analytics Toolkit: R, SPSS, Excel, Git, Python, SQL, Postgres & cloud computing expertise desirable.
- Consistently able to apply a range of research methods and demonstrate honed analytics skills
- Strong communication skills and interpersonal skills
- Solid project management skills
- Demonstrated experience building and maintaining client relationships
- Commercially focused mindset
- Coaching, Leadership and Management experience
- Segmentation & Discriminant analysis & tools (essential)
- Predictive modelling (e.g. logistic regression) (essential)
- Choice/Allocation based models (essential)
- Decision/Regression based trees (essential)
- Key Driver analysis methods (essential)
- Multivariate analysis (essential)
- Machine learning/AI methods (essential)
- Experimental design (desirable)
- Bayesian methods (desirable)
- Time series analytics (desirable)
- Text analytics (desirable)
- Data science best practices (e.g. version control, scripts & libraries, reproducibility) and structured data wrangling (desirable)
- BI & web-app development (desirable)
- Unstructured data wrangling (desirable)
- Competitive salary plus annual bonus scheme
- Private health insurance plus enhanced dental and optical cover
- Generous pension scheme
- Generous number of days paid holiday
- Enhanced maternity and paternity pay for employees with 2+ years of service
- Access to comprehensive Mortgage Advisor Service
- Group income protection
- Life assurance coverage at 4x base salary
- EV car scheme and more