Staff Data Scientist building complex analytics models for underwriting and operations at Travelers Insurance. Collaborating with teams to enhance risk segmentation and streamline decision - making processes.
About the role
- Report to Senior Data Scientist and work closely on data acquisition, curation and analysis
- Curation, streamlining and management of datasets from clinical studies and real world deployments
- Analysis of publicly available national datasets to support marketing claims and identify potential partners
- Cleaning and management of datasets for training and validation of machine learning algorithms, including database maintenance
- Automate workflows for data acquisition
- Develop code for data analysis results, figures and tables to meet timescales
- Design and implement dashboards for monitoring real-world data, visualising DERM performance and operational insights (e.g., QuickSight)
- Provide actionable feedback for partner sites and support strategic decision making
Requirements
- Bachelor’s in a STEM field: Computer Science, Data Science, Statistics, Engineering, or a related field
- Proficiency in R or Python (both preferred) for data analysis, manipulation, and basic modelling
- Familiarity with SQL for querying and managing structured data
- Familiarity with Python libraries: NumPy, pandas or polars, Matplotlib
- Familiarity with R packages: tidyr, dplyr, ggplot2
- Strong attention to detail, with the ability to spot and investigate anomalies in messy datasets
- Excellent communication skills, particularly the ability to communicate complex material clearly
- Exposure to working in a startup or commercial environment (internship, placement year, or ~1 year work experience) [preferred]
- Postgraduate qualification in a STEM field [preferred]
- Familiarity with inferential statistics concepts such as p-values and confidence intervals [preferred]
- Experience using version control systems such as Git or GitHub [preferred]
- Knowledge of diagnostic algorithm metrics: sensitivity, specificity, PPV, AUC [preferred]
- Experience with data visualisation tools such as PowerBI, Tableau or QuickSight [preferred]
- Must have right to work in the UK; employer cannot offer sponsorship
Benefits
- 💰Competitive salary
- 💸Bonus structure
- 📈Share options package - all our employees have ownership in the company
- 🏥Private healthcare
- 🌴25 days annual leave (plus 5 day company shutdown in August + bank holidays)
- 👪Enhanced parental leave - includes adoption & foster
- 💻Training budget
- 💬Weekly catch-ups, monthly meetings to talk about your ambitions and make plans
- 🎊Lots of fun social activities including company offsite!
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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