Data Scientist

Job Description

You will be part of a cross functional Data consulting team spanning data engineering, visualisation, analytics and science. You will be working with our clients across multiple sectors, helping them to explore next generation data analytics and data science techniques and tools to drive incremental business value from their data assets.

Previous experience of data science in an commercially focused environment and a passion for how information (data and content) can be used to drive business value would be ideal for this role! You will have the opportunityto work across four key data areas: Science, Engineering, Analytics and Visualisation and will be expected to
specialise in data science itself.

Due to the nature of the work we do, all applicants will need to be able to travel and potentially work away from home as part of the 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 selfservice data warehouses as required
• Data engineering, analysis and building machine learning models

Data Science

• Building and optimizing classifiers using machine learning techniques
• Data mining and statistical analysis using state-of-the-art methods
• Creating automated anomaly/error detection systems
• Measuring the accuracy of predictive models and continually improving their performance

Data Analysis

• Profiling, cleansing, and verifying the quality of data used for analysis
• 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
• Cost and benefits analysis, return on investment analysis, risk assessment, and business case development to support transformation
• 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

Data Acquisition / Engineering

• 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
• Identifying root cause issues of poor data quality and working with data and content owners to identify new processes to remedy
• 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
• Identify data quality issues, identify root cause, and initiative transformation to improve data capture and associated data quality
• Supply of data extracts for other colleague analysis requirements

Data Visualisation

• 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
• Visualisation of information so that it is relevant, in context and consumable

Technologies / Tools

• Experience in the following technologies, or similar, would be beneficial to the role: Python (Pandas, Sci-kit Learn, Keras, TensorFlow, Matplotlib, Seaborn), R, MatLab, SQL, SSIS, The Elastic Stack, PowerBI, Tableau, Azure Data Factory, Azure Machine Learning Services, AWS, Databricks


Reports to
Head of Data and Analytics

Teamwork
Aiimi operates in a collaborative working environment and encourages all employees to work in conjunction with colleagues where ever possible, whilst also encouraging independent working.

Compensation

• Competitive starting salary
• Up to 10% of basic salary in flexible benefits (to include death in service and critical illness cover as standard plus private healthcare, dental, pension etc.)
•Up to £100 per month allowance for your phone and broadband bills
• 25 Days holiday (plus bank holidays) – increasing by a day every 2 years
• Training and personal development
• Bi-annual company retreats

For more information or to get in touch please email Charlotte Richmond.

We’re a small team working our way through lots of applications, so please bear with us. If you don’t hear from us within two weeks, we’re sorry that it’s not worked out this time. We’ll keep your details on file for any relevant roles that come up – to opt out of this, just drop us an email: crichmond@aiimi.com.

Qualifications

Academic background in Computer Science, Maths, Physics, numerical or statistical disciplines or demonstrable commercial experience in lieu of this

Where did you find out about Aiimi and this opportunity?
Benefits & Perks

What you can look forward to

Flexible benefits. Including death in service and critical illness cover from day one, plus 9% pension contribution and full private health care upon passing probation

Aiimi Team Meetings every month - via Zoom or in-person

25 days annual leave plus bank holidays (and an additional day for every 2 years of employment with us)

Flexible hours and flexible working

Mental wellbeing support. Including paid private counselling, a 24/7 helpline, and regular Aiimi Cares workshops. We also have 16 fully-trained Mental Health First Aiders in our team.

Up to £100 per month allowance towards your mobile phone and broadband bills

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