Data Scientist
Aiimi Ltd, United Kingdom
Job Description
You will join Aiimi as part of a Data Science team, working with our clients across multiple sectors, helping them to explore
next-generation data science techniques and tools to drive incremental business value from their data assets.
Previous experience in data science in an asset management-intensive environment and a passion for how information
(data and content) can be used to drive business value would be ideal for this role!
This is a client-facing role which will see you work on exciting client projects throughout the UK. Due to this, a willingness to
travel and work away from home are essential to this role.
Requirements
You will be responsible for collaborating with business subject matter experts to discover the information hidden in various
sources of content and data, helping our clients make smarter decisions to reduce service failure and deliver better
outcomes to their customer base. As you begin your role with Aiimi, your primary focus will be in applying data mining
techniques, statistical analysis, building high quality predictive algorithms and models, using machine learning techniques to
classify data and content, and build recommendation systems.
Your role will be involved in the following areas:
• Liaising with our clients so that their information can be used in context, be relevant and be easily consumed by those
who need it
• Analysing and interpret patterns and trends
• Developing new and innovative ways of working in order to drive efficiencies in the business
• Creating new triggers and associated interventions to affect future outcomes
• Prove/disproving hypothesis and theories into facts and informed points of view
• Supporting strategic planning
• Fulfilling timely reporting requirements including dashboards and balanced scorecards
• Ensuring new models, reports and data architectures are promoted and published to centralised self-service data
warehouses as required
• Data engineering, analysis and building machine learning models using Python and SQL
You will be responsible for:
• Building and optimizing classifiers using machine learning techniques
• Data mining and statistical analysis using state-of-the-art methods
• Extending data with third-party and publicly available source of information
• Identifying new data collection processes to include information that is relevant for building analytic systems
• Profiling, cleansing, and verifying the quality of data used for analysis
• Identifying root cause issues of poor data quality and working with data and content owners to identify new
processes to remedy
• Creating automated anomaly/error detection systems
• Measuring the accuracy of predictive models and continually improving their performance
• Presenting analytical results in a clear manner using visualisation tools
• Utilise user centred design methodologies to personalise and maximise end-user experience information
strategies: data management, content management, business intelligence, mobile, collaboration/social, business
process management/workflow, digital, employee, customer
• Information management steering group policy governance, security
Accountabilities:
Analytics
• Identify patterns in data, working with the business to interpret meaning and associated business value
• Find ways of capturing insight from all appropriate internal and external sources of content and data
• Find ways to extract data from content (classification and content analytics) so that it can be more easily
analysed and integrated into other data sources
• Visualisation of information so that it is relevant, in context and consumable
• Cost and benefits analysis, return on investment analysis, risk assessment, and business case development to
support transformation
• Identify data quality issues, identify root cause, and initiative transformation to improve data capture and
associated data quality
• Provide advice and support to answer queries, determine route cause analysis of issues, and support incidents
and emergencies
• Provide support in collating information that is required for subject access requests, legal matters, customer
requests, complaints, year book, regulation, business plans, performance reviews, budgets, and strategic
programmes
• Supply of data extracts for other colleague analysis requirements
Governance
• Ensure that information management policies and all associated policies are adhered and non-compliance
breaches are disclosed
• Contribute to the continual improvement of the information strategy and associated policies and standards
• Contribute to the data management strategy and associated master data management, metadata
management,