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Senior Technical Talent Advisor and Community Development - A.I, Machine Learning and Data Science.

Director & Co-Founder @ www.Abso-Fashion-Lutely.co.uk
Director & Founder of Data Science & Big Data Analytics IT Job Board http://datasciencebigdataanalytics.jobboard.io/


Data Scientist, Statistician, Insight Analyst, Chief Data Scientists, Data Architect, Data Engineer, Data Analyst, Statistics Consultant, Research Engineer, Quantitative Analyst, Developer, Engineer, Pre-Sales / Post Sales engineer, Sales Engineer, Software Engineer, Systems Engineer, Technical Evangelist, Client Services Engineer, Architects (Cloud, Solutions & Enterprise), Cloud & Big data Analytics, Microsoft Azure and consulting roles.

The above is not an exclusive list and I work on a diverse range of roles and technologies. Contact me:  0044 788 135 1363

I am currently studying with Udacity to further my career in Data Science, Big Data Analytics, Programming, Algorithms, Artificial Intelligence, Computer Science, Statistics, Physics, Psychology & Visualizing Algebra.

I specialise in the following:

• Talent Manager and also responsible for expanding our internal team; vetting, meeting & technically testing candidates
• Providing advice around legal, accounting and general recruitment to the community
• Utilising the latest social media strategies for recruitment Twitter,Github Etc ..
• Setting up interviews, negotiating extensions, offers & contracts
• Developing new relationships and bringing in new business
• Client & account management
• Attending and arranging technical conferences to better my understanding of the technologies and markets I specialise in

I own & run the following groups on LinkedIn:
• ASP.Net MVC 3, MVC 4 & MVC5 Ninjas
• Cloud & Big data
• Microsoft Azure Ninjas
• Data Scientist & Analytics UK
• HTML5 Ninjas
• Java Blackbelt
• Hadoop Experts UK & EMEA
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Wednesday, 10 September 2014

Data Science & Big Data Analytics

Do you fancy a job in Data Science & Big Data Analytics?

I currently have a number of positions available in UK, Amsterdam, Germany, Australia, Silicon Valley & South Africa

My clients are especially interested in hearing from gifted scientists who not only have exceptional data analysis and problem solving abilities but also have what it takes to discern the hidden patterns and signals within different data sets.

Preferred Experience and Skills:

·        Advanced degree in applied mathematics, statistics, machine learning, engineering, economics, social sciences, or related fields (Master's degree required, PhD preferred).

·        Strong algorithmic and programming skills. Capable of designing and programming new data mining algorithms.

·        Solid grounding in applied mathematics and statistics including expertise in several of the following (or related) techniques: Bayesian modelling, multivariate regression, logistic regression, machine learning, cluster analysis, decision trees, time series analysis and forecasting, factor analysis, structural equation modelling, item response theory, Markov chains, and data visualization.

In addition you need to be familiar with disciplines such as:

·        Machine learning: using computers to improve as well as develop algorithms  

·        Natural Language Processing 

·        Conceptual Modeling: to be able to share and articulate modelling 

·        Statistical analysis: to understand and work around possible limitations in models 

·        Predictive Modeling: most of the big data problems are towards being able to predict future outcomes 

·        Hypothesis testing: being able to develop hypothesis and test them with careful experiments

You will need experience in “Big Data” as well as predictive modelling, optimization, machine learning, neural networks using a range of advanced technical tools (Python, SAS, Hadoop, R, Matlab, Machine learning, natural language processing, CPlex, C++, etc.)

A big data scientist understands how to integrate multiple systems and data sets. You need to be able to link and mash up distinctive data sets to discover new insights. This often requires connecting different types of data sets in different forms as well as being able to work with potentially incomplete data sources and cleaning data sets to be able to use them.

 For more info contact me on:


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