IT Jobs Southampton, England £75000 - £80000 per annum Permanent Apply Now
Data Science Lead
A small but growing specialist company specialising in high tech detection solutions have an immediate requirement for a Data Science Lead to join them.
Location: Southampton 1 day per week – rest can be home based.
Salary: Circa £75,000
Key Skills: Data Science Lead, data analysis, linear regression, time-series, classification, neural networks, CNNs, RNNs, decision trees, gradient boosting, Python, C/C, Unix shell scripting, Java, JavaScript/HTML/CSS/Angular, RDBMS,
This is a new role for the company and they are keen to find an experienced and motivated data professional.
As Data Science Lead you will develop a deep understanding of the customer and a passion for solving real world problems. As Data Science Lead you will be responsible for championing the adoption of data driven decisions across the company by leading the development of advanced analytical tools that utilise the vast amounts of data available to the company. These tools will be rooted in a strong statistical foundation and leverage Machine Learning to provide actionable insights for solving business problems or finding opportunities for profitable growth.
As a Lead, you will work with the Engineering Director, to steer the company in the most profitable direction while also implementing its vision, mission and long-term goals. Strong communication, delegation, coaching and leadership skills are required as you will be expected to lead the department in times of need and growth.
AS Data Science Lead you will:
* Work with the team to solve complex business problems by implementing end-to-end AI/ML capabilities: from data exploration, model training and validation to model persistence and deployment of productionised machine learning models.
* Show-case the “Art of the Possible” through the establishment and engagement with the team of innovative data science standards and methodologies: developing scalable and sustainable solutions for diverse business segments; incorporating emerging technologies into data analysis processes and influencing the scope and direction of new projects.
* Work with the team, to conduct advanced statistical analyses of structured and unstructured datasets using a variety of modelling techniques, such as: linear regression, time-series, classification, neural networks (incl. CNNs, RNNs), decision trees, gradient boosting, and others to deploy interpretable products that generate insights, increase efficiency and/or enhance quality.
* Understand existing business processes and combine business acumen, problem solving skills, and curiosity to identify value-add opportunities for the applications of statistical analyses and AI/Machine Learning.
* Present results in a cohesive, intuitive, and concise manner that can be understood by both technical and non-technical audiences.
* Provide expertise on statistical and mathematical concepts to key stakeholders.
* Act as a subject matter expert in Data Science approach and design discussions.
Key Skills
* Experience of lead roles in medium or large physics or software projects
* Excellent presentation and communication skills
Key Knowledge
* Numerate degree or equivalent tertiary education
* Relevant postgraduate qualification: MSc, PhD or equivalent – ideally Physics
* Knowledge and solid experience of relevant languages. In rough order of importance: Python, C/C, Unix shell scripting, Java, JavaScript/HTML/CSS/Angular.
* Knowledge and solid experience of one or more relevant machine learning frameworks. E.g. Scikit-learn, TensorFlow, PyTorch.
* Knowledge and experience of data management technologies. E.g. RDBMS
* Knowledge and experience of object-oriented development principles and patterns.
* Knowledge and experience of working in Linux/Unix.
* Knowledge and experience of production software development tools, such as configuration management, issue trackers, build engines, installer tools, cloud services, container technologies.
* Any experience nuclear detection devices would be a benefit.
Needless to say, if you have got this far then please click “apply now” for more details about the role and company.