Machine Learning Intern - Studentjob.co.uk

**Job Description:** Data Science Intern **Location:** Chester house, Farnborough ****Key Responsibilities**** The role involves assisting in data collection and dataset management, as well as developing in-house automation and analysis tools, as part of a research team responsible for all Deep Learning applications as well as other areas of computer vision. * To assist in the collection, preparation and management of relevant data and image sets. * To modify and extend scripts and programs which automate the above tasks and visualise the results. * To assist in the training and evaluation of machine learning algorithms under the supervision of other team members. * To record all changes made and document both software and research outputs. * To work at all times in accordance with the Health \& Safety at Work Act 1974 and to follow all company procedures and guidelines which assist this. * To work at all times in accordance with the company's policies. * To undertake such other duties as may be required within the general scope of the job. **Requirements:** The holder is expected to be a student undertaking a degree in a technical discipline. * Proficient in general IT skills on both Windows and Linux systems. * Experience with programming or scripting (particularly Python) is a definite advantage. * Mathematics or statistical analysis training is beneficial but not essential. * Problem-solving skills: The ability to break down complex data challenges and find solutions. * Communication and teamwork skills. * Interest and excitement to learn in the subject is vital. **Contact:** Name: Sarah Overman E-mail.: sarah.overman@jenoptik.com **Job Description:** Data Science Intern **Location:** Chester house, Farnborough ****Key Responsibilities**** The role involves assisting in data collection and dataset management, as well as developing in-house automation and analysis tools, as part of a research team responsible for all Deep Learning applications as well as other areas of computer vision. * To assist in the collection, preparation and management of relevant data and image sets. * To modify and extend scripts and programs which automate the above tasks and visualise the results. * To assist in the training and evaluation of machine learning algorithms under the supervision of other team members. * To record all changes made and document both software and research outputs. * To work at all times in accordance with the Health \& Safety at Work Act 1974 and to follow all company procedures and guidelines which assist this. * To work at all times in accordance with the company's policies. * To undertake such other duties as may be required within the general scope of the job. **Requirements:** The holder is expected to be a student undertaking a degree in a technical discipline. * Proficient in general IT skills on both Windows and Linux systems. * Experience with programming or scripting (particularly Python) is a definite advantage. * Mathematics or statistical analysis training is beneficial but not essential. * Problem-solving skills: The ability to break down complex data challenges and find solutions. * Communication and teamwork skills. * Interest and excitement to learn in the subject is vital. **Contact:** Name: Sarah Overman E-mail.: sarah.overman@jenoptik.com ******About Jenoptik****** With its Strategic Business Unit (SBU) Smart Mobility Solutions, Jenoptik provides photonics-based, innovative and sustainable solutions, including technology and services for road safety and security. As an end-to-end solution provider, we support our customers with the provision of roadside equipment and software, including integration, installation, maintenance and financing models through to full-service operation of our solutions. Our strong global presence and installation base is supported by a longstanding partner network with tens of thousands systems deployed worldwide. Leveraging 90 years of experience and 40 years in ANPR, Jenoptik is a world-leading enabler for road safety and civil security, with intelligent solutions and services constantly evolving to help make roads, journeys, communities and our environment safer around the globe. **Have we made you interested in this position?** **If so, we look forward to receiving your online application.** **Should you need any further information, please do not hesitate to contact us.** #Jobster