Senior Data Scientist
1 month ago
My client is a successful multi-domain data consultancy business headquartered in Edinburgh and operating with offices in both London and Bristol . The business is enjoying sustained growth.
Their practice brings together experts across key business sectors including Healthcare & Pharmaceuticals, Retail Banking, Energy, and Telecoms. Within these domains, the business partners with industry-leading blue-chip organisations while also remaining well connected to academia and retaining a focus on R&D. This is an incredibly stimulating environment.
The team are obsessive about delivering value for clients and working in a collaborative, engaged and creative way with colleagues and partner businesses.
The Role:
- As a Senior Data Scientist , you will be a technical specialist, developing and implement ML models that deliver tangible value to clients.
- You will engage with stakeholders to translate business requirements into analytical solutions using the most appropriate data science techniques.
- You will engage with stakeholders to translate business requirements into analytical solutions using the most appropriate data science techniques.
- Act as a thought leader, designing solutions from a theoretical standpoint through to practical execution.
- The role can be remote within the UK.
The Profile:
- Broad experience of using a range of predictive modelling and machine learning techniques to tackle business problems across commercial sectors.
- Ability to translate complex analytical solutions into transparent and actionable business insight.
- Strong stakeholder engagement skills.
- Advanced knowledge of statistics and ML techniques (both supervised and unsupervised), knowledge of emerging technologies e.g. Reinforcement Learning is advantageous.
- Advanced user of Python and/or R, with cloud analytics experience.
This is a fantastic opportunity for a passionate experienced data scientist with ambition to grow their career. To apply and grow their analytics skills in multi-disciplinary project teams and collaborate in a fast-growing data science community.
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