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Athena Resourcing Solutions
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London, Greater London
Data Scientist
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Job Type: Full-time |
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Salary: £35,000.00 - £45,000.00 Year |
Overview
Data Analyst / Data Scientist A leading international consultancy are currently seeking to appoint an inquisitive and ambitious Marketing & Data Sciences Consultant to join their expanding and highly successful Marketing & Data Science team - a specialist business unit of Statisticians and Marketing Scientists who act as consultants for statistical input into client proposals, providing technical advice, as well as support to research teams in the design & execution of all of their international projects. As an international player and one of the top five globally you will have access to a global network of 200 plus Marketing and Data scientists who all share the same vision to learn, develop and share the latest cutting edge methods. Having access to seasoned industry experts in every area of marketing and data science is one of their great USP’s and a principle reason for applying for this position. The role of the Marketing & Data Science department is to provide support in the following areas to all business units: · Research consultancy - Methodological & Statistical advice · Advanced analytics – including segmentation, modelling & forecasting, data fusion & integration, pricing research, marketing effectiveness, volume estimation etc · Big data analytics · Data science development and production - Automation of analytics processes Purpose of the Marketing & Data Sciences Consultant role The purpose of this role is utilising Big Data and Statistical Analysis expertise to develop and support solutions for the business. There are a number of areas that the candidate will focus on: Overcoming operational challenges in dealing with online behavioural data Many of the data processing stages we have to go through with some of our most high revenue projects like purchase journey studies are time consuming – like web scraping, extracting aggregates from big data-sets, merging big data from different sources and custom taxonomies of web url based on associated information. The successful candidate will be required to streamline and create efficiencies around these processes Key Responsibilities · Analyse and interpret behavioural data collected from desktop and mobile metering software to understand opportunities in the customer journey · Run analytics to measure key performance indicators · Processing, cleansing and verifying the integrity of data used for analysis using Hive, SQL, SAS and R · Application of data mining techniques to digital data to identify key insights · Provide insight and analytical support for digital projects across the business · Use of statistical techniques to analyse digital data according to client requirements · Deploy new methodologies to ensure better value for data · Ability to extract insights from unstructured data sets using NLP and Machine Learning Techniques Skills & Experience required · Post Grad Degree or equivalent in Statistics, Mathematics, Data Science, Analytics Advanced knowledge of R · Experience with SAS/SPSS - Experience writing SQL queries · Exposure to Big Data languages: Hive, PIG · Experience with handling, integrating and modelling digital behavioural data. Including segmentation and predictive analytics integrating and modelling retail audit data. · Experience in building & working with Cloud Servers · Exposure to Big Data technologies as Hadoop, Hive, R, PIG · Experience in working with Big Data environments like Hue in order to collect, store, process and analyse big sets of data · Experience with integration of data from multiple data sources Web-scraping · Retrieving information from webpages: product characteristics, reviews… · Parsing XML Knowledge of “rvest” package in R (or similar) · Ability to transform the scraped data into a usable format · Understanding of marketing statistical methods such as segmentation, clustering, correspondence analysis, factor analysis, regression analysis, TURF analysis · Understanding of the following statistical techniques: classification methods, regression methods, association rules, clustering methods, pattern analysis · Ability to apply the previous techniques into digital data: finding products that are purchased together, identifying web pages that are often visited in the same session, identifying groups of customers with the same buying patterns · Experience with data visualization tools · Experience in core analytic methods such as predictive modelling and network analysis · Familiarity with API data extraction Athena Resourcing Solutions is an employment agency and employment business. We are an equal opportunities employer and we welcome applications from candidates of all races, genders, ages, religions and beliefs, sexual orientations and people with disabilities. Due to the high volume of applications we receive we are very sorry but it is not always possible to respond to each applicant personally. Only those applicants who are short listed for the position can be contacted. If you have not heard from us within two days please assume that your application for this particular position has been unsuccessful. By submitting your CV to us and/or applying for any job vacancy advertised by us, you agree to your data being processed by us and to receive job alert emails / job related information or other career development related information.