Data Scientist 

ONGOING by Charlotte Richmond


You will join Aiimi as part of an exploration team, working with our clients in various sectors to exploit next generation data science techniques to create artificial intelligence (AI) alongside advanced business intelligence to ensure value in data whilst improving predictive capabilities. You will use machine learning to automate current processes working in a collaborative approach with other Aiimi team members and clients alike.

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. 

Purpose of the Role 

You will be comfortable communicating with stakeholders of all levels to discover the information hidden in various sources of content and data, with a view to helping our clients make intelligent decisions to 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 and AI techniques to classify, cluster and predict actions using both internal and existing 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 data science solutions can drive efficiencies in the business
  • Creating enterprise integrated solutions that include new triggers and associated interventions to affect future outcomes
  • prove/disproving hypothesis and theories using statistical/computation techniques
  • supporting strategic planning and assist in data science strategy and roadmaps
  • fulfilling timely reporting requirements including dashboards, scorecards and reports
  • Ensuring new models, reports and data architectures are promoted and published to a production and centralised self-service data warehouses as required

Responsibilities of the Role

  • Building and optimizing machine learning algorithms (LM, GLM, Random forest, Naïve Bayes, etc)
  • Data mining (Summarisation, classification, regression, clustering, anomaly detection)
  • statistical/computational analysis (significance, normality, gaussian processes)
  • Extending data with third party and publicly available source of information (ETL, joining, merging wrangling, mashing)
  • Identifying new data collection processes to include information that is relevant for building analytic systems (API, Batch, realtime)

Experience required

  • Demonstrable experience in delivering information analysis
  • Extensive experience designing complex relational databases for simultaneous multiple users
  • Extensive experience of business suite systems from SAP, Microsoft, Intergraph, Schneider & Open Text
  • Experience of content management systems, classifications and content analytics
  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
  • Experience of using named entity recognition (NER), such as OpenNLP, Stanford, GATE, Lingpipe
  • Experience with common data science toolkits, such as SciKit-Learn, NumPy, MatLab, and Machine Learning toolkits such as Weka and Apache Mahout
  • Experience with data visualisation tools, such as D3.js, Kibana, Power BI
  • Proficiency in using query languages such as SQL, Hive, Pig
  • Proficiency in using NoSQL databases, such as MongoDB, Elastic
  • Proficiency in the collection, preparation (including clean-up of missing and incomplete data) and enrichment of data for transport and ingestion with tools such as Logstash
  • Good applied statistics skills, such as distributions, statistical testing, regression
  • Good scripting and programming skills, such as R, python, Java 

Reports to   

Professional Services Manager


BSc Mathematics/Statistics, Computer Science, Physics, Information Management or equivalent


We would like to see applications from those who have the following skill set:

  • SQL Server 2016
  • Data modelling
  • ETL
  • Microsoft Access & Microsoft Excel
  • Microsoft PowerPoint, Microsoft Visio
  • UX/UI User Centred Design
  • HTML
  • Excellent analytical and problem solving skills
  • Highly motivated with great organisation, multi-tasking and communication skills
  • Autonomous, proactive and analytical
  • Attention to detail and demand for things to be accurate
  • Can be trusted to handle personal and sensitive information
  • Gifted at being able to represent information in such a way that it looks great and is easy to consume
  • Inquisitive to explore how interconnected information sources can be leveraged to drive insight
  • Experienced in structuring and delivering presentations to non-technical as well as technical target audiences
  • Experience of working on projects deploying Agile methodologies
  • Can work in a pressurised environment to business-critical timescales
  • Experience in advising stakeholders, senior managers and directors
  • Excellent verbal and written presentation skills
  • Strong experience and skills in influencing, negotiating and analysis are essential

Team Work 

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


  • Competitive 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 10% of basic salary in bonus
  • 25 days annual leave plus Bank Holidays (you will receive an additional day of annual leave for every 2 years of your employment)

To apply for this role please email