Specialist – Data Science

To identify business requirements, apply data science techniques/approaches (For example: pattern detection, graph and statistical analysis) and provide decision logic to support the business to achieve desired outcomes

1.Data Science
Work with business stakeholders to identify business requirements and expected outcomes in order to model/frame meaningful business scenarios which impact critical business processes and/or decisions
Identify, acquire and prepare data using data wrangling methods in R, Python, SQL in infrastructure including SAS, Spark, Hadoop, NOSQL and relational database environments in order to provide decision logic
Recommend and explain to business users statistical and machine learning methods for problems (for example customers and market segmentation) in order to aid understanding and support achievement of business requirements/expected outcomes
Work with Data Architect to support data collection, integration and retention requirements based on input collected from the business and benchmark selected
analytical models against best practices to ensure correct
approach is being taken
Suggest ongoing improvements to methods and
algorithms that identify new information and findings in
order to support the achievement of expected business
outcomes
Liaise with external vendors, attend vendor presentations
and conferences and conduct research in order to keep
abreast of new and current machine learning and data
wrangling techniques

2. Policies, Processes,
Systems and Procedures
Adhere to all relevant organisational and departmental
policies, processes, standard operating procedures and
instructions so that work is carried out to the required
standard and in a consistent manner while delivering the
required standard of service to customers and
stakeholders
3. Self-Management
Manage self in line with the bank’s people management
policies, procedures, processes and practices to ensure
adherence and to maximise own contribution to business
performance
4. Customer Service
Demonstrate Our Promise and apply the ADCB Service
Standards to deliver the bank’s required levels of service
in all internal and external customer interactions

Minimum Experience
At least 3 years of experience in data or statistical
analysis, with mathematical and causal modeling skills
Minimum Qualifications
Bachelor’s Degree in Mathematics, Statistics, Computer
Science, Physics, Economics or Operations Research
Professional Qualifications TOGAF Certification or Equivalent
Knowledge and Skills The ability to communicate with the business to
understand requirements and present back findings and
recommendations by demonstrating the potential value to
the organization
The ability to identify solutions to loosely defined
business problems by leveraging pattern detection over
potentially large datasets
Programming skills, including Hadoop MapReduce or
other big data frameworks, Java, statistical modelling
(like SAS or R), SQL and depending on the scope of the
project, text mining, machine learning or deep learning
Statistics skills such as distributions, statistical testing,
regression
Storytelling with data
Data-modelling and information classification expertise at
the enterprise level
Job Code: 1859
Effective Date of JP: 210218
Version: 1
Understanding of machine learning techniques and
algorithms, such as k-NN, Naive Bayes, SVM, Decision
Forests
Ability to assess rapidly changing technologies and apply
them to business needs