We are looking for an agile and highly motivated
Data Scientist
to join our team at our
Lincoln, UK,
premises as part of the Research Project ‘ HiRes-Soils: Robotic platforms for high-resolution maps of soil carbon and GHG emissions’ , funded by the Innovate UK agency. Responsibilities Data Acquisition and Integration: Integrate data from APIs. Predictive Modeling Analytics Spatial Analysis Qualifications and experience Degree in (but not exclusively) Computer Science or Engineering (Mechanical or Electrical) or Agricultural Engineering. Professionally proficient in English (written and spoken) for non-English native speakers. Programming Skills: Proficient in Python, with experience in libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, and others relevant to data science and analytics. Data Science Expertise: Background in predictive modeling, machine learning, and statistical analysis. API Integration: Experience in working with APIs for data retrieval and integration. Ability and willingness to adapt to varying physical objects of development. Great to have Master’s degree Team oriented work attitude Ability and willingness to adapt to varying physical objects of development. We offer Competitive compensation based on qualifications. Learning and growth opportunities in a rapidly developing company setup. A friendly and professional work environment that fosters team spirit. Merit-based advancement. Ongoing training and development.
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Data Scientist
to join our team at our
Lincoln, UK,
premises as part of the Research Project ‘ HiRes-Soils: Robotic platforms for high-resolution maps of soil carbon and GHG emissions’ , funded by the Innovate UK agency. Responsibilities Data Acquisition and Integration: Integrate data from APIs. Predictive Modeling Analytics Spatial Analysis Qualifications and experience Degree in (but not exclusively) Computer Science or Engineering (Mechanical or Electrical) or Agricultural Engineering. Professionally proficient in English (written and spoken) for non-English native speakers. Programming Skills: Proficient in Python, with experience in libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, and others relevant to data science and analytics. Data Science Expertise: Background in predictive modeling, machine learning, and statistical analysis. API Integration: Experience in working with APIs for data retrieval and integration. Ability and willingness to adapt to varying physical objects of development. Great to have Master’s degree Team oriented work attitude Ability and willingness to adapt to varying physical objects of development. We offer Competitive compensation based on qualifications. Learning and growth opportunities in a rapidly developing company setup. A friendly and professional work environment that fosters team spirit. Merit-based advancement. Ongoing training and development.
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