Senior Data Scientist
7 days 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.
This Data Scientist role is suited towards candidates with 3-5 years of work experience who have technical skills in ML model development, advanced statistics and commercial acumen. Some occasional office presence may be required (1-2 days per month with additional days optional).
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 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.
Visa sponsorship is not provided with this role.
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