# Data Scientist

**Company**: Charlotte Tilbury Beauty
**Location**: London
**Work arrangement**: hybrid
**Experience**: mid
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://apply.workable.com/j/4B3CF14D45
**Canonical**: https://yubhub.co/jobs/job_b204548c-c74

## Description

About the role

The Data Scientist will be part of the Data Science team, which drives the use of data, machine learning & AI to enhance internal decision-making and create hyper-personalised customer experiences. The team tackles diverse business challenges and explores various modelling paradigms.

Responsibilities

- Sourcing and processing data using domain-specific/agnostic techniques

- Analysing data to support ad-hoc business decisions

- Running proof-of-concepts to test feasibility and value

- Building and deploying production-ready machine learning models

- Monitoring model performance for long-term accuracy

- Being at the forefront of integrating LLMs across the business, driving innovation and efficiency

- Managing stakeholders to balance ambitious goals with achievable outcomes

- Developing, presenting, and discussing insights with the wider business

- Collaborating with other data scientists, analysts, and engineers

Who you will work with

The Data Scientist will work closely with the Data, Tech, and other teams to drive business growth and innovation.

About you

- Bachelor's or Master's degree in Computer Science, Data Science, or related field

- 3-5 years of experience in data science roles

- Creative problem-solving and solution scoping

- Strong grasp of mathematical, statistical concepts, and machine learning algorithms

- Proficiency in Python and data science libraries (NumPy, Pandas, Scikit-learn, Keras)

- SQL proficiency

- Experience with cloud environments (e.g., Google Cloud Platform)

- Version control management

- Ability to work efficiently without compromising quality

- Effective communication and data storytelling skills

- Collaborative mindset and passion for sharing knowledge

Benefits

- 25 days holiday (plus bank holidays) with an additional day to celebrate your birthday

- Inclusive parental leave policy that supports all parents and carers throughout their parenting and caring journey

- Financial security and planning with our pension and life assurance for all

- Wellness and social benefits including Medicash, Employee Assist Programs and regular social connects with colleagues

- Bring your furry friend to work with you on our allocated dog-friendly days and spaces

- Generous product discount and gifting

## Skills

### Required
- Python
- data science libraries (NumPy, Pandas, Scikit-learn, Keras)
- SQL
- cloud environments (e.g., Google Cloud Platform)
- version control management

### Nice to have
- e-commerce
- retail
- marketing science
- BI platform Looker