Senior Data Scientist

Job Title: Senior Data Scientist
Contract Type: Contract
Location: City of London, London
Salary: £0.00 per annum
Start Date: ASAP
Reference: BBBH5658
Contact Name: Adam Holmes
Contact Email: aholmes@venquis.com
Job Published: November 21, 2016 10:46

Job Description


1. Responsibilities
* Collect, collate and curate Data form across the Talent, Rewards and Performance business.
* Work with TRP Consultants and participate in client engagements focused on Advanced Business Analytics, in Talent, Rewards, Performance and enterprise wide 'People Analytics' etc.
* Lead solutioning efforts to define and develop Big Data architectural components, that will interoperate seamlessly with other elements of the broader information architecture
* Focus on strategy, design and execution of data-centric business problems, and in the process create unique analytical solutions comprising Big Data management supported by advanced analytical techniques (e.g., R, machine learning, neural networks, A/B testing, etc)
* Analyse data growth and lead capacity/sizing activities to arrive at the most appropriate commercial and technical solution
* Generate and test working hypotheses, prepare and analyze historical data, identify patterns from samples for reporting of trends and support Predictive Analytics
* Leverage Data Visualization techniques and tools to effectively demonstrate patterns, outliers and exceptional conditions in the data
* Create performance metrics and tracking processes to measure the effectiveness of Advanced Analytics solutions
* Conceptualize necessary Data Governance models to support the technical solution and assure the veracity of the data
* Work collaboratively with other members of the Data, Analytics and IT teams to innovate and create compelling data-based stories and experiences
* Stay conversant in new analytic technologies, architectures and languages - where necessary - for storing, processing and manipulating this type of data
* Develop a flair for the exploratory and experimental side of the role; required to tease out interesting and previously unknown insights in vast pools of data
2.1 Must have Hard Skills
* Masters/Ph.D. in Computer Science, Statistics, Engineering or similar technical field and 3-5+ years' experience in a relevant role
* Well versed at applying advanced analytical techniques to large and varied data sets, generated and flowing at a rapid rate. Sample techniques include, but are not limited to:
o Data visualization (Tableau/Qlikview)
o Data mining and predictive modelling (e.g. SPSS, Alteryx, R, MatLab,)
o Applied machine learning and natural language processing
o Collaborative filtering and recommender systems
o Social network analysis and statistical text mining
o Neural networks
o Event detection and tracking
* Proficient with programming languages supported by a big data platform, like Java, Python, C++, or ECL, etc.
* Strong experience of managing and retrieving large scale information in one or more industry areas like retail, healthcare, telecommunications, finance, particle physics, software engineering, social networks, etc