Senior Consultant, Corporate and Public Sector, Data Risk Analytics, London or Regions

Job Description

Your opportunityOur mission is to deliver meaningful work for priority clients and society. As part of the largest Data Risk Analytics practice in the UK, our practitioners understand exactly how data underpins a business and how improving the management, use and insight from this data improves performance and reduces risk. To deliver meaningful work for priority clients and society. Helping clients and society turn risk to advantage through responsible use of data. We combine our peoples skills and experience, with Deloitte tools and solutions, across four focus capability areas: Data & software engineering - we design and deliver the data architectures, pipelines and solutions which underpin our business. Information management â€" we design and implement strategy, governance, operating models and compliance around enterprise data to build a secure and trusted foundation for our clients. Data science - we conduct data-driven problem solving and analysis through modelling and visualisation to shed light on root-cause issues and identify the optimum solutions and options. AI & automation - we harness machine learning and cognitive capabilities to derive new insight from a myriad of unstructured and structured data sources, and removing manual effort. These capability areas help our clients and society across the following industries: Consumer & Industrial Products; Telecoms, Media and Technology; Government and Public Sector; Healthcare and Life Sciences; and Energy and Resources. Furthermore, Data Risk Analytics is an integral part of Deloittes advisory capabilities, and our OneDeloitte strategy enables individuals to work with our specialists in different areas across the business. We encourage consideration of flexible ways of working, both formal and informal arrangements that allow for the best outcomes for our people and our clients. If this opportunity is of interest to you with some flexibility, please do discuss with us. Your role As a Senior Consultant in our Data Risk Analytics team, you will: Provide our clients with the information and insight they need to take the best decisions, improve their performance and minimise risk in projects ranging from advisory missions to technical assignments. Engage with clients to get a detailed understanding of their specific needs and ensure that data and information meets our client’s business requirements. Solve the puzzle of integrating disparate sources of enterprise data and information to model and visualise our clients’ businesses. Develop solutions and processes to implement governance and compliance around enterprise data as a secure and trusted foundation. Design and develop solutions that span Data Science techniques through to AI and automation capability. Work effectively in diverse teams within an inclusive team culture where people are recognised for their contribution. Your work, your choice At Deloitte we believe the best impact is the value we add, not the hours we sit at our desk. We carefully consider agile ways of working, both formal and informal, that allow for the best impact for our people and our clients. Please speak to your recruiter about the working pattern that works best for you. Location: This role can be based in London or regional offices, however, majority of your time will be spent at client site. Some domestic or international travel may be required Work pattern: This is a permanent contract opportunity. Your professional experience We are looking for experienced professionals to align to one or more of our four focus capability areas. We can assist with this alignment during the recruitment process and there will be opportunities to work across all four areas during your career at Deloitte Data and Software Engineering: Experience designing and delivering data architectures, pipelines and solutions, with experience including: Building /optimising logical data model and data pipelines while delivering high data quality solutions that are testable and adhere to SLAs; Design, creation and management of large datasets/data models; Coding in platform-related Big Data languages; Utilising Big Data technologies; Cloud-based architecture and deployment; DevOps, Continuous Integration and Continuous Development (CI/CD); and Full Stack Development (Frontend & Backend). Information Management: Experience delivering services related to one or more core Information Management domains including: Data Strategy; Data Governance; Data Discovery; Data Quality; Data Architecture; or Master Data Management. Data Science, AI and Automation: Experience delivering services related to one or more core Data Science or AI domains: Visualisation; Advanced analytical modelling; Machine learning; Computer vision; Natural language processing; and Artificial intelligence and automation. Working with or knowledge on a range of tools such as: Visualisation, dashboard and reporting tools e.g. Qlikview, Tableau, Power BI, R Shiny; Open source visualisation solutions e.g. Plotly, D3.js; Data Science / Big Data languages e.g. R, Python, Java, Scala; Data Science tools e.g. Alteryx, SAS, SPSS; Data management e.g. SQL, ETL; Big Data technologies e.g. Hadoop, Kafka, Spark; Cloud technologies e.g. AWS, Azure, Google Cloud Platform; DevOps & CI/CD tools e.g. Terraform, Jenkins, CloudFormation; Full Stack Development e.g. Node.js, Angular, React and Django; Automation tools e.g. Automation Anywhere, Blue Prism, UIPath, other automation or workflow toolsets. Experience applicable to all capability areas: Delivering projects or substantive components applicable to the domains listed above. Understanding of, and experience with, the development of solutions beyond the proof of concept stage into industrial-strength products or processes. Strong delivery skills and the ability to work on your own initiative and in many different and challenging environments. Strong planning, organisation and management skills. Exceptional communication, presentation, business writing and professional skills, including being able to liaise with both technical and business contacts at our clients. Additional Desirable Experience Experience working in one or more of our Risk Analytics CPS focus industries. Postgraduate degree in a scientific subject (Mathematics, Natural Sciences, Computer Science, Artificial Intelligence, Robotics, Data Science, Engineering, etc.) or equivalent and/or relevant professional qualification and/or significant relevant consulting/industry expertise. A relevant professional qualification and/or relevant consulting expertise. Experience managing key client relationships and/or managing multiple engagements. Your service line: Risk Advisory In Risk Advisory, our thinking and actions give clients, our people and society the confidence to succeed responsibly in a rapidly changing world. We don’t just work with our clients to manage risk, we help them understand and grab the opportunities it presents too, helping t