Data Scientist

**Data Scientist**

**Assignment Type**:Temporary, ongoing basis where you will be engaged via Hays

**Location**: Chichester

**Working Environment**:Hybrid, part office based on site at client offices/ part home based

**Pay type**: Competitive hourly pay rate

**Our Client**:
The World's pre-eminent super-luxury automotive brand based in Goodwood, near Chichester, West Sussex, which comprises its global headquarters and Global Centre of Luxury Manufacturing Excellence.

**The Role**:
Everything starts with passion at our luxurious automotive client. It turns a profession into a vocation. It drives them to keep reinventing mobility and to bring innovative ideas onto the roads. Enthusiasm for joint projects turns a department into a strongteam where every opinion is valued. It is only when expertise, highly professional processes and enjoyment of work are united that they can shape the future together.

An exciting opportunity for an experienced Data Analyst to join our client on an ongoing long term temporary assignment for an approximate duration of 12 months (rolling, reviewed annually).

Our clients in the centre of all our ambitions. They strive to be the most innovative and impactful Data Science and Analytics team in Luxury Retail. Ensuring that data driven insights are seamlessly integrated into our operations, driving highly bespokeand predictive customer service to maximise our commercial success.

**Key Requirements**
- Design, build and optimise data science models across multiple business functions (sales operations, ownership services, client & brand) that guide the organisation to a data decision making company
- Project managing the deployment of new data science models throughout the organisation (from Head Office, to Region, to Dealer)
- Responsible for managing the agency relationship with our nominated data science partners (3rd party organisations)
- Implementing and automating data science models onto the cloud-based data infrastructure project
- Conducts advanced analytical tasks, data cleansing and data mining.
- Maintains accurate technical and non-technical documentation pertaining to all aspects of responsibility.

**Skills & Qualifications**:

- Excellent understanding of DS techniques from statistics and machine learning
- Excellent knowledge of at least one programming language (R, Python)
- Excellent knowledge of at least one query/SQL language (MySQL, PostgreSQL or Hive)
- Experience working with large and small data sets - both structured and unstructured
- Use machine learning to discover actionable patterns in data and develop hypotheses
- Business facing - including ability to explain ideas simply to non-technical stakeholders
- Experience working with Agile project management methods and tools (e.g. Jira, Confluence)

**Benefits**:

- Competitive hourly rate along with an annual performance related bonus
- Hybrid working
- Access to a subsidised restaurant
- Hays Go1 training platform which offers a library of over 70,000 courses
- Access to Ben - Offers support across a wide range of topics such as mental health well-being, financial or legal matters
- Local retail and restaurant discounts

**What next?