- £43k-£50k Doe
- 33 days annual leave (pro rata, including public holidays)
- Option to buy additional annual leave up to 5 days per year
- Enhanced employer pension contributions – Up to 11% employer contributions
- Enhanced family friendly policies
- Progression opportunities, including the ability to apply for funded training and coaching and mentoring programmes
- Reduction on gym memberships and high street shopping
- Car-leasing scheme
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Data Scientist - Cardiff, United Kingdom - MBN Solutions
Description
Job Description
Data Scientist £43k -50k DOE
Office based in Cardiff , Hybrid working pattern. Candidate needs to live in a commutable distance.
Are you looking for growth in your current skill set and experience?
Do you want varied work, working collaberatively of lots of different types of projects ?
Are you look for a stable role you can grow and get promoted within ?
About the Opportunity:
MBN are partnered with a not for profit company to find them a Data Scientist. Working with the thriving Data Team and stakeholders to develop, train, evaluate, deploy, and maintain analytics products that adds to business value. You will work within a Data Team that is on a journey to a centralised data platform and advanced cloud analytics alongside the necessary analytics governance.
The Role:
Skills Required: SQL/Python/R, Power BI, Azure Machine Learning, Azure DevOps, Cloud technology is utilized and integrated, with a focus on Azure and Databricks.
• Employ agile methodologies to develop, deploy, and sustain analytical solutions, with a focus on predictive modelling. Collaborate with stakeholders throughout project management and delivery phases, continually refining solutions to increase business impact.
• Showcase hands-on expertise in various data science methodologies, encompassing machine learning, operational research, artificial intelligence, and programming.
• Excel in advanced programming, particularly in statistical languages Python & R
• Design user interfaces to streamline the delivery of data science products to the business. Spearhead the development and execution of elements within the analytics governance framework.
• Advocate for and aid in the adoption of tools, methodologies, and processes to elevate the ongoing success of Data Science projects.
Benefits: