Senior Data Analyst
7 days ago
We are seeking an experienced and highly motivated Senior Data Scientist to join our analytics team at carwow. This role is a key part of our drive to enhance key business operations through machine learning solutions.
Key Responsibilities:
- Develop and implement machine learning models to provide efficient and reliable solutions to business operations needs.
- Collaborate with stakeholders to understand their requirements and create robust models to drive business objectives.
- Analyze data trends and behaviors to identify opportunities for ML solutions in the broader business.
Requirements:
- Demonstrated track record of building machine learning models in Python that translate data into actionable insights.
- Relentless curiosity for understanding factors that drive behaviors and trends in data.
- Solid experience developing ML solutions in cloud environments (e.g., Vertex AI, Sagemaker).
- Strong communication skills to present insights clearly and concisely.
- Ability to evaluate model performance with well-motivated statistical tests and success metrics.
- Fluency with core data handling packages in Python (Pandas, NumPy, Scipy) and machine learning modules (Tensorflow or Pytorch, Scikit-Learn).
About the Role:
This is a fantastic opportunity to work on challenging projects and develop your skills as a Senior Data Scientist. You will be working closely with cross-functional teams to deliver high-impact results.
What We Offer:
- A competitive salary of £100,000 - £120,000 per annum, depending on experience.
- 28 days annual leave, plus Bank Holidays.
- 1 day for your wedding, 1 day off when you move house, and additional annual leave for long service.
- Option to buy 3 extra days of holiday per year.
- Inclusive parental, partner and shared parental leave, fertility treatment and pregnancy loss policies.
- Bubble childcare support and discounted nanny fees for little ones.
- Up to £500/€550 home office allowance.
- Generous learning and development budget.
- Regular social events.
- Refer a friend, get paid.
We welcome those with alternative identities, backgrounds, and experiences to apply for this position.
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