Job Title:
Senior Data Scientist Job ID:
17099 Job Location:
UK – Whiteley – Hampshire Please note that onsite working will be expected for at least 4 days per week. About this opportunity and L3Harris UK From 12 UK sites, our team of over 1,400 people deliver unique capabilities across air, land, sea, space and cyber for military, security and commercial customers, worldwide. At L3Harris Flight Data Services, we provide an outsourced Flight Data Monitoring service to aircraft operators worldwide. It is important to deliver insights to customers in a presentable and timely manner, enabling them to take action to reduce costs and improve safety to save lives. L3Harris Flight Data Services has the largest flight data monitoring platform in the world; the Software Engineering Team supports & develops capabilities and ad-hoc analysis for this platform. We care deeply about aviation safety; our work reflects our passion for this, and we expect the same from you. We work with customers to improve their safety operations with insights and analysis capability. As a Senior Data Scientist, you will receive training and support to enable your role. You will produce analytical reports and answer customer requests, working alongside experienced flight data specialists. You will build machine learning models to find hidden patterns in our data and present results of analyses and models in a customer-friendly manner. Our data is typically time series sensor data, and you will be required to process and clean the data in order to produce suitable metrics. We also expect you to curate and maintain dashboards with valuable insights using data stored in the data warehouse. You will also mentor junior team members as well as lead technical data science projects. You will have a range of knowledge and skills and is expected to keep up to date with the latest trends and technologies. You will receive training and will grow your data science skills, and be an engaged member of the team. From time to time you may attend conferences relevant to the ongoing work. A few of our employee benefits are: 25 days holiday per year (plus bank holidays), increasing with long service and with the opportunity to buy/sell up to 5 days Private medical insurance with optional family cover Pension scheme of up to 7% employer contribution Life Assurance 4x salary (flexible up to 10x) Group income protection Flexible opt-in extras such as a health care cash plan, dental insurance, gym membership, critical illness cover and cycle to work scheme Employee assistance program providing mental health and wellbeing support Main responsibilities: Produce analytical reports and answer customer requests, working alongside experienced flight data specialists. Liaise with customers for ad-hoc data analysis and development of predictive models using a variety of data sources. Present the results of the analyses and models in a customer-friendly manner. Produce dashboards and insights using the data warehouse. Handle complex time series flight data, data cleaning, feature extraction. Be responsible for the development of predictive models using machine learning, and receive adequate support & training. Research and lead programs of technical ML focused work. Maintain and develop production systems. Knowledge, skills and qualifications: Good understanding of statistics, and ability to pick correct methods to produce valuable insights. Good knowledge of ML & DL models and their applications. Expertise in data analysis and data quality. Expert with Python/R and their plotting libraries. Expert with Jupyter Notebooks or similar. Working knowledge of cloud technologies. Good knowledge of databases and SQL queries. The ability to clean/transform database content and to analyse and interpret data. Ability to plan work and meet deadlines. Clarity of communication and problem-solving skills. Experience of leading teams and delivering projects with AGILE/SCRUM methodologies. Please note applicants who accept a conditional offer of employment must meet the requirement of right to work in the UK.
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Senior Data Scientist Job ID:
17099 Job Location:
UK – Whiteley – Hampshire Please note that onsite working will be expected for at least 4 days per week. About this opportunity and L3Harris UK From 12 UK sites, our team of over 1,400 people deliver unique capabilities across air, land, sea, space and cyber for military, security and commercial customers, worldwide. At L3Harris Flight Data Services, we provide an outsourced Flight Data Monitoring service to aircraft operators worldwide. It is important to deliver insights to customers in a presentable and timely manner, enabling them to take action to reduce costs and improve safety to save lives. L3Harris Flight Data Services has the largest flight data monitoring platform in the world; the Software Engineering Team supports & develops capabilities and ad-hoc analysis for this platform. We care deeply about aviation safety; our work reflects our passion for this, and we expect the same from you. We work with customers to improve their safety operations with insights and analysis capability. As a Senior Data Scientist, you will receive training and support to enable your role. You will produce analytical reports and answer customer requests, working alongside experienced flight data specialists. You will build machine learning models to find hidden patterns in our data and present results of analyses and models in a customer-friendly manner. Our data is typically time series sensor data, and you will be required to process and clean the data in order to produce suitable metrics. We also expect you to curate and maintain dashboards with valuable insights using data stored in the data warehouse. You will also mentor junior team members as well as lead technical data science projects. You will have a range of knowledge and skills and is expected to keep up to date with the latest trends and technologies. You will receive training and will grow your data science skills, and be an engaged member of the team. From time to time you may attend conferences relevant to the ongoing work. A few of our employee benefits are: 25 days holiday per year (plus bank holidays), increasing with long service and with the opportunity to buy/sell up to 5 days Private medical insurance with optional family cover Pension scheme of up to 7% employer contribution Life Assurance 4x salary (flexible up to 10x) Group income protection Flexible opt-in extras such as a health care cash plan, dental insurance, gym membership, critical illness cover and cycle to work scheme Employee assistance program providing mental health and wellbeing support Main responsibilities: Produce analytical reports and answer customer requests, working alongside experienced flight data specialists. Liaise with customers for ad-hoc data analysis and development of predictive models using a variety of data sources. Present the results of the analyses and models in a customer-friendly manner. Produce dashboards and insights using the data warehouse. Handle complex time series flight data, data cleaning, feature extraction. Be responsible for the development of predictive models using machine learning, and receive adequate support & training. Research and lead programs of technical ML focused work. Maintain and develop production systems. Knowledge, skills and qualifications: Good understanding of statistics, and ability to pick correct methods to produce valuable insights. Good knowledge of ML & DL models and their applications. Expertise in data analysis and data quality. Expert with Python/R and their plotting libraries. Expert with Jupyter Notebooks or similar. Working knowledge of cloud technologies. Good knowledge of databases and SQL queries. The ability to clean/transform database content and to analyse and interpret data. Ability to plan work and meet deadlines. Clarity of communication and problem-solving skills. Experience of leading teams and delivering projects with AGILE/SCRUM methodologies. Please note applicants who accept a conditional offer of employment must meet the requirement of right to work in the UK.
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