Data Scientist
Role details
Job location
Tech stack
Requirements
Design, implement, and maintain scalable data pipelines and ETL processesDevelop and maintain data warehouses and data lakesImplement data quality monitoring and validation systemsCreate and maintain data documentation and cataloguing systemsOptimize data storage and retrieval systemsImplement data security and governance frameworksBuild and maintain data APIs and servicesAnalytics and Data Science Focus: Translate business problems into data queries and solutionsDevelop and deploy machine learning modelsCreate advanced analytics solutionsProvide insights through data visualization and reportingDesign and implement A/B tests and experimentsCollaborate with stakeholders to understand data requirementsProject Responsibilities:
You will work on assignments such as:Architecting end-to-end data solutions for major business transformation programmesDesigning and implementing data lakes and warehouses using cloud technologiesCreating automated data pipelines for continuous data integrationImplementing data governance and security frameworksBuilding scalable machine learning infrastructureCollaborating with multiple departments, stakeholders, and external vendorsSkills, Knowledge and Expertise We work predominantly within the UK Defence and Public Sectors so experience within those sectors is desirable, preferably in roles which have used data to solve business problems.
The fast-moving nature of the Public Sector technology environment, together with the need to resource multiple, ad-hoc assignments, also requires our data analysts and data scientists to be quick thinkers, proactive and self-motivated - with the ability to apply a structured approach to often unfamiliar subject matter.
The following attributes and areas of experience will make you particularly suited to this role with Actica:Coding e.g. expertise in Python or R;Collaborative, team-based development;Cloud analytics platforms e.g. relevant AWS and Azure platform services;Data tools hands on experience with Palantir ESSENTIAL;Data science approaches and tooling e.g. Hadoop, Spark;Software development methods and techniques e.g. Agile methods such as SCRUM;Software change management, notably familiarity with git;Public sector best practice guidance, e.g. ITIL, OGC toolkit.Additional Requirements: Must be eligible and willing to obtain UK Government Security Clearance.Key Attributes for Success: Ability to engage effectively with stakeholders, including resolving issues and identifying new opportunities.Strong interpersonal and influencing skills.Adaptability to a fast-paced, ever-changing environment.Working Arrangements: Hybrid working model, with an office base in Guildford, Surrey and access
Benefits & conditions
Job Description Senior Data Scientist London, hybrid 1 to 3 days per week. Competitive salary between £60,000 and £70,000 plus bonus and benefits. This is a rare opportunity to build a data science capability from the ground up within a well-funded, high-impact..., Job Description Data Scientist London Hybrid - 2-3 days in office Competitive salary between £45,000 and £50,000 plus benefits This is a great opportunity to join a high-impact data function within a major transport organisation, working on complex datasets, geospatial...