€50k - 70k per year
6 months ago
Are you a talented programmer that is looking to pivot into Data Science?
My client is a new company operating as a start-up whilst financially supported in their cause by industry giants. They are looking for bright, computationally gifted individuals to join their growing team.
Who you are?
You have an IT/Computer Science background and have recently started to learn how your skills may apply to Data Science.
You are interested in being a part of cutting-edge product in the industry from R&D to production stage.
You are interested in how machine learning can be utilised to solve business problems.
What the job is?
This role consists of providing computational support to senior team of researchers. You will be writing algorithms, running models and incorporating them into an end product.
What you need to do the job?
- Computational MSc (Computer Science, IT, Data Analytics).
- 2+ years in the computing role writing production ready code
- Excellent knowledge in one or more: Python/R/Scala/Spark
What is in it for you?
- A competitive salary with comprehensive package
- A unique start-up environment without uncertainty in funding
- Opportunity to be at the forefront of completely new to industry product
The Next Step for you:
Should this position be of interest to you please forward your CV to Egle Gradeckaite – Data Science Talent Acquisition Consultant on [email protected], Next Generation Recruitment or alternatively call me on +353 16 498 543.
The Next Generation Recruitment Data Science division recruits exclusively for candidates with market-leading analytical, statistical and programming expertise. Working in areas such as Advanced Analytics, Data Science, Data Modeling, GIS, Quantitative Risk, Fraud Analytics, CRM Optimisation, Predictive Analytics, Data Visualisation, Data Mining, Platform Development, Advanced Algorithms, Analytics Research and Analytics Consultancy, whatever your Data Science background send us your CV and we contact you to discuss suitable opportunities.
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