Data Scientist enhancing merchandising and inventory performance using machine learning techniques at Nordstrom. Collaborating with teams to develop data - driven solutions for better customer experiences.
About the role
- Data Scientist at Hiscox applying analytics to influence decisions across business functions. Collaborating with teams to leverage data for problem-solving and strategic insights.
Responsibilities
- Act as a critical thinker and problem solver for the business
- Apply core technical skills and innovative thinking to tackle complex challenges
- Identify opportunities and help shape data-driven decision-making across the London Market
- Manage multiple priorities and deliver ad hoc analysis and predictive/prescriptive models
- Communicate the business value of analytical solutions to stakeholders
- Work collaboratively with data scientists, data engineers and other technical people
- Contribute to delivering value through the use of analytics techniques
- Conceptualise new approaches and communicate your vision clearly to stakeholders
Requirements
- Degree in a STEM or closely related field or equivalent experience
- A further degree is a plus
- Experience of data science, advanced analytics or a genuine interest to learn
- Ability to conduct high quality research in a suitably timely manner working in both independently and in small teams as required by the task
- Familiarity with version control, agile working and other IT delivery tools is required
- Experience in developing predictive and prescriptive analysis (predictive modelling, machine learning or data mining) used to draw key business insights and clearly articulate findings for target audience
- Experience with analytical tools / programming languages and databases (for example: Python, R, SQL)
- Experience with large language models and prompting, GCP experience is a plus
- Interest in a variety of machine learning techniques from simple linear models and random forests to deep learning
- A particular interest in natural language processing or machine vision
- A strong grasp of foundational statistics is essential
- Experience working both in small teams and independently on analytics projects
- Strong verbal and written communications skills and effective presentation skills.
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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