Data Scientist

  • Location: Gibraltar
  • Salary: £45,000 - £55,000 pa
  • Type: Permanent
  • Job reference: 20829

Our client is looking for a Data Scientist to be responsible for the delivery of machine learning algorithms, optimization solutions, complex quantitative analysis and a variety of custom data processes and tools. The individual will work closely with stakeholders in the organisation to ensure that predictive analytics delivers high value across the business.

The key focus is to identify opportunities for predictive analytics and optimization across the business, present ideas, propose analytics / solution approach, gather, explore, cleanse, integrate and analyse data from large operational transactional datasets and external online sources, conduct statistical data exploration and quantitative analysis, assess data quality, share and verify key findings with business, apply supervised and non-supervised machine learning algorithms, fine tune models, test and validate models, build optimisation engines, assess key model characteristics and overall impact, re-iterate certain phases of the process if necessary, assist to implement solution into production environment, educate business stakeholders on model output, impact and behaviour, assist / coach along the business process transformation lifecycle.

Reporting to The Head of Advanced Analytics, the role will be accountable for business functions whilst aligning and proactively working together with the rest of the Analytics, BI, Product, Trading and Marketing teams to support and enable them to meet their KPIs and new propositions.

Qualifications and Educational Requirements

  • BSC in computer science, mathematics or statistics

Specialist Skills and Experience Required

  • Excellent problem-solving skills
  • A true talent in working with data
  • Experience of data analytics at a senior level
  • Experience with modeling platforms R, Python, Knime, Statistica, SAS Miner or Stat, XLStat
  • A balanced set of expertise across a number of domains including supervised and unsupervised machine learning techniques, data engineering, statistical analysis, custom tools development and business consulting.
  • Strong understanding of the data mining methodology i.e. Crisp DM, SEMMA
  • Experience in building models of decision trees, neural networks, random forests, logistic and linear regression, text mining, clustering, ensemble models, uplift modeling 
  • Methods for Validating Models: mean squared error, R squared, Confusion matrix, gains, ROC
  • Expert data manipulation skills SQL, analytical functions, query optimization, Python automation
  • Experience in Big Data environments (MS Azure, Spark, Hive) and/or stream analytics
  • Ability to build relationships with key stakeholders to influence the best practice of data usage
  • Good understanding of business processes within online gaming
  • Passion for digital business
  • Strong understanding and experience working with large transactional data sets, e.g. bet records, site visitor data, transformation and analytics conducted over billions of records
  • Strong application of descriptive analytics and statistical techniques
  • Strong presentation skills, able to simplify and articulate complex domain areas to senior stakeholders.
  • A good knowledge of Sport and Interest in Sports betting
  • Articulate and confident when presenting the output of your work
  • Highly data and statistically driven rather than gut feel
  • Capable of clarifying business hypothesis and apply analytical technique to test them
  • Capability to interpret data and drive business conclusions
  • Has or is keen to gain experience of building or rolling out advanced data mining models to business users
  • Ability to work across functions and locations

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