About The Company

Inchcape is the leading global automotive distributor operating in more than 40 markets. We partner with some of the biggest brands in the business to power better mobility today and in the future.

Our diverse global team of over 18,000 talented colleagues foster an inclusive and collaborative culture, delivering a brilliant experience for our customers and partners. We’re a dynamic and fast-growing business, driving the transformation of our industry and redefining tomorrow

The Digital Delivery Centres accelerate Inchcape’s digital journey by positively impacting the business and its customers through innovative and essential technological solutions.

Through our top talents, we support the mobility of millions of people globally through the power of digital technology.

Purpose of Role:

We are seeking a passionate Data Scientist to join Inchcape Digital's Data Analytics Platform team. You should be proficient in Azure/Databricks, knowledgeable about the automotive sector, and skilled in AI Product Management and Operationalisation. Strong stakeholder management skills are essential, as you'll work with Directors and C-suite leaders. As a senior team member, you'll guide data scientists and MLOps engineers, and serve as the go-to advisor for data science. Expertise in statistics, machine learning, and end-to-end AI projects is required

Job Role and Responsibilities:

• Mentor a team of data scientists and MLOps engineers to deliver high-quality data science solutions and products.
• Apply advanced statistical and machine learning techniques to solve complex business problems and generate actionable insights.
• Design, develop, and deploy scalable and robust machine learning models and pipelines using Azure/Databricks environment.
• Collaborate with business stakeholders, product owners, and other data teams to understand the business requirements and translate them into data science objectives and solutions.
• Communicate effectively and persuasively the results and recommendations of data science projects to various audiences, including senior management and external partners.
• Stay updated with the latest trends and developments in data science and artificial intelligence and identify opportunities for innovation and improvement.
• Contribute to the development and implementation of the AI Product Management and Operationalisation framework and best practices.

Qualifications :

• Bachelor's degree in related field.
• Advanced degree in a related field, Master's or PhD preferred.
• Proficiency in Python and other data science tools and frameworks.
• Extensive experience with statistical and machine learning techniques, including regression, classification, clustering, anomaly detection, natural language processing, and computer vision.
• Proven ability to work with large, complex datasets from diverse sources and formats.
• Experience in developing and deploying end-to-end machine learning solutions and products.
• Expertise in Azure/Databricks environment and its components.
• Strong communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences.
• Leadership and teamwork skills, with the ability to motivate, mentor, and collaborate effectively.
• Problem-solving and analytical skills, with a creative and critical thinking approach.

Realise your potential

• Build a brilliant career, where you’re encouraged and supported to fulfil your ambition, mentored by excellent managers.
• Explore exciting and rewarding career pathways, with regular promotion and performance reviews to help you progress.
• Develop your expertise and upgrade your skills with continuous training in the latest tech advancements.

If you have the skills, passion, and drive to thrive in this role, and you're ready to grow your career with a dynamic global team in the digital space, we want to hear from you!

Click Apply Now or send your CV to [email protected] with the subject line: Application for Data Scientist

Please refer to job description.