Data Scientist at LawDepot optimizing the Checkout experience through data - driven decisions. Involves statistical analysis, experiment design, and collaboration to enhance revenue growth.
About the role
- Data Scientist leveraging data insights and machine learning for operational efficiency and innovation. Collaborate with stakeholders to drive impactful strategic decisions.
Responsibilities
- Use innovative data analytics and machine learning techniques to extract valuable insights from data
- Identify, collect, and extract data from various sources
- Perform data cleaning, wrangling, and transformation for analysis
- Develop and maintain efficient data pipelines for automated data acquisition
- Design and conduct statistical and machine learning models for analysis of patterns and trends
- Develop predictive models to forecast future outcomes
- Collaborate with business stakeholders to add value from data through Data Science
- Advise and influence decision making and contribute to policy development
- Lead a team performing complex tasks and set objectives
- Identify ways to mitigate risk and develop new policies/procedures
Requirements
- Exceptional ability to extract strategic insights from large data sets and communicate these to non-technical business stakeholders
- Experience with multiple of the following methods: PCA, MDS, factor analysis, regression analysis, choice models, cluster analysis, density estimation, kernel methods, Bayesian methods, classification, decision trees, MCMC, systems dynamics, gradient boosting, NLP
- Significant experience applying machine learning methods with big data technologies
- Significant experience in Python and the key analytical and machine learning libraries
- Able to write production quality code with strong grasp of key coding principles: e.g. separation of concerns, generalisation of code
- Experience on building and deploying in cloud infrastructure such as AWS, Azure or GCP
- Experience in leading on, building and deploying enterprise GenAI projects
- Deep understanding of LLMs, GenAI frameworks and techniques e.g. RAG, Agentic AI, evaluation and monitoring
- Ability to understand and translate the pattern recognition, exploration of the data, machine learning and algorithmic learning
- Actively seeks out and applies new analytical methods that can improve the speed and quality of the decision takes within Barclays Business
- Experience in providing technical mentoring to more junior colleagues
- Masters or PhD in a highly numerate discipline such Statistics, Mathematics, Physics, Computer Science or Engineering with a strong programming background
- Experienced in creating business models, both financial and consumer behavioural
- Extensive experience of statistical analysis, data mining and visualisation techniques
- Experience of data warehouse and MI environments and practises with good working knowledge of SQL and at least one business intelligence package (Tableau/PowerBI)
- Experience in PySpark and a Hadoop environment
- Project management and cross functional matrix leadership experience
- Experience in line management of data scientists
- Experience in front end development frameworks such as Angular/React/ Flask/Streamlit
- Modular code frameworks e.g MVC Architecture
Benefits
- Private healthcare
- Pension scheme
- Flexible working hours
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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