Senior Data Science & Analytics Consultant in London

You will join us as a Data Science and Analytics Consultant - a key member of our Digital Advisory team, responsible for applying advanced analytical techniques to derive insights from its big data. We are proud of the different clients, countries and types of projects that we get the opportunity to experience. We specialise in large-scale Masterplanning and infrastructure projects and offer our team diverse project experiences across various types and scales throughout their careers.

• Strategic and Advisory
  • Help align data and analytics initiatives with business goals, identifying use cases where data creates value and developing a roadmap for implementation.
  • Analysis of both clients and business units to identify gaps and opportunities for data-driven solutions.
  • Stakeholder engagement and collaboration to bridge the gap between technical teams and business decision-makers and help present findings to executives.
  • Identify and develop data science analytics requirements for clients.
• Technical and Analytics
  • Assess and set standards for data quality, accuracy to ensure consistency and implementation of data management standards, protocols, and procedures.
  • Design, build and manage data pipelines, storage, integration, and migration requirements.
  • Build predictive models, algorithms and machine learning solutions for forecasting and insights.
  • Perform complex statistical analysis, exploratory data analysis and creating clear reports and dashboards using multiple visualisation platforms.
  • Contribute to the development of web-based mapping solutions incorporating AI and machine learning techniques.
  • Integrate geospatial datasets into gaming engines and visualization platforms to demonstrate innovative visualisation capabilities using both open-source and proprietary tools.
  • Responsible for undertaking research and development into geospatial services and application of modern technologies, development of automated solutions, including developing 3D virtual cities and digital twins, new data products, data science, and insights services from the vast array of datasets.
• Implementation and Training
  • Conduct training on a local and global level, assisting other Buro Happold disciplines with their data analytics requirements including GIS (QGIS and or ArcGIS) training needs, whilst developing new and improved GIS templates, styles, and symbology.
  • Managing big data and analytics related bids for RfW (Requests for Work) which will include writing and developing new scopes to meet client requirements, estimating fee costs, and developing plans, and covering resource for the project timeline.
  • Manage and juggle complex masterplanning projects; project managing spatial and non-spatial data governance procedures and processes.
  • Recommendation and implementation improvements for data analysis and storage.
  • Education of teams on data literacy, new tools, and effective data driven practices.

• Experience in data analytics and insights concepts and ability to apply them, particularly experience deriving insights and patterns from big data using statistical methods and processes.
• Proficiency in data science-related languages such as Python, R, Matplotlib, MATLAB, SQL, and C/C++, and experience in spatial data processing and management with a strong emphasis on developing SQL scripts or development of SQL code.
• Experience in spatial data management tools and platforms such as python, ArcGIS, ArcPy, QGIS, Shapely, GeoPandas, NumPy, Pandas, Matplotlib, GDAL, GRASS, scikit-learn, TensorFlow for geospatial data analysis.
• Demonstrable experience in developing, setting up, and configuring spatial and non-spatial databases such as PostgreSQL/PostGIS, MS SQL Spatial and any other big data platform like MongoDB.
• Sufficient understanding of Vector Databases for the implementation of AI modules and techniques.
• Experience in geospatial data ETL (extraction, transformation, and loading) to a spatial data warehouse environment, with a strong emphasis on CAD/BIM to GIS data processing with experience using ETL tools to automate data processes and creation of streamlined workflows.
• Knowledge and experience in cloud computing technologies such as Microsoft Azure, Amazon Web Services (AWS), and Oracle Cloud step-up, configuration and development of data analytics and insights solutions, as well as knowledge of cybersecurity best practices and protocols.
• Familiarity with semantic 3D modelling capabilities and methodologies using 3D datasets such as LIDAR, Point Clouds, and other 3D models and objects.
• Ability to train, calibrate and validate computer vision algorithms for feature extraction such as the use of OpenCV and FME, as well as an ability to communicate geospatial data analytics methodologies and insights to both technical and non-technical people.
• Experience applying Natural Language Processing (NLP) to cluster and pattern recognition in textual information.
• A graduate from a relevant technical degree qualification in Data Science related course including Data Science, Engineering, Computer Science, Geospatial Science. Masters degree or PhD would be an added advantage.
• Professional certifications (Azure/AWS/GCP Data Architect, Databricks, PMP) highly desirable.

• Hybrid working arrangements.
• Attractive salary and benefits package including, private medical insurance, life assurance and income protection.
• Holiday entitlement of 25 days per annum.