Scientist, Data Personalization

Kampala - Uganda

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Assist in applying data mining techniques and conduct statistical analysis to large structured and unstructured data sets to understand and analyse phenomena. Model business problems discovering insights and opportunities through statistical algorithmic machine learning and visualisation techniques working closely with clients data and technology teams to turn data into critical information used to make sound business decisions.

Assists in building machine learning models from and utilises distributed data processing and analysis methodologies. Competent in Machine Learning programming in R or Python with supplementary still in Matlab Java etc. Familiar with the Hadoop distributed computational platform including broader ecosystem of tools such as HDFS / Spark / Kafka.
Codes tests and maintains scientific models and algorithms and identifies trends patterns and discrepancies in data and determines additional data needed to support insight. Processes cleanses and verifies the integrity of data used for analysis.
Liaise and collaborate with the Data Science Guild providing support to stakeholders in the department for its data centric needs. Collaborate with subject matter experts to select the relevant sources of information and translates the business requirements into data mining/science outcomes. Presents findings and observations to team for development of recommendations.
Supports business integration through integrating model outputs into end-point production systems incorporating business requirements and knowledge of best practices.
Supports various mathematical statistical and simulation techniques to answer business questions within specific areas of focus. Develops modelling solutions that enable the forecast of quality data outcomes. Ensures that volumetric predictions are modelled so that resource requirements are optimally considered. Supporting reporting production ensuring sustainable and effective modelling solutions.
Use data profiling and visualisation techniques using tools to understand and explain data characteristics that will inform modelling approaches. Communicate data information to business with respective stakeholders presenting trends correlations and patterns found in complicated datasets in a manner that clearly and concisely conveys meaningful insights and defend recommendations under the supervision of data scientists.

Qualifications :

First Degree in Information Studies Information Technology or related
3-4 yearse experience in working with unstructured data (e.g. Streams images) Understanding of data flows data architecture ETL and processing of structured and unstructured data. Using data mining to discover new patterns from large datasets. Implement standard and proprietary algorithms for handling and processing data.
Experience with common data science toolkits such as SAS R SPSS etc.
Experience with data visualisation tools such as Power BI Tableau etc.
3-4 years proven development experience in software and software engineering. Understanding of financial services data processes systems and products. Experience in technical business intelligence. Knowledge of IT infrastructure and data principles. Project management experience. Experience in building models (credit scoring propensity models churn etc.)

Additional Information :

Technical Competencies:

Data Analysis
Database Administration
Data Integrity
Knowledge Classification
Research & Information Gathering

Behavioural Competencies:

Adopting Practical Approaches
Articulating Information
Challenging Ideas
Checking Things
Examining Information
Exploring Possibilities
Interacting with People
Interpreting Data
Meeting Timescales

Remote Work :

Employment Type :

Full-time

Assists in building machine learning models from and utilises distributed data processing and analysis methodologies. Competent in Machine Learning programming in R or Python with supplementary still in Matlab Java etc. Familiar with the Hadoop distributed computational platform including broader ecosystem of tools such as HDFS / Spark / Kafka.
Codes tests and maintains scientific models and algorithms and identifies trends patterns and discrepancies in data and determines additional data needed to support insight. Processes cleanses and verifies the integrity of data used for analysis.
Liaise and collaborate with the Data Science Guild providing support to stakeholders in the department for its data centric needs. Collaborate with subject matter experts to select the relevant sources of information and translates the business requirements into data mining/science outcomes. Presents findings and observations to team for development of recommendations.
Supports business integration through integrating model outputs into end-point production systems incorporating business requirements and knowledge of best practices.
Supports various mathematical statistical and simulation techniques to answer business questions within specific areas of focus. Develops modelling solutions that enable the forecast of quality data outcomes. Ensures that volumetric predictions are modelled so that resource requirements are optimally considered. Supporting reporting production ensuring sustainable and effective modelling solutions.
Use data profiling and visualisation techniques using tools to understand and explain data characteristics that will inform modelling approaches. Communicate data information to business with respective stakeholders presenting trends correlations and patterns found in complicated datasets in a manner that clearly and concisely conveys meaningful insights and defend recommendations under the supervision of data scientists.

Qualifications :

First Degree in Information Studies Information Technology or related
3-4 yearse experience in working with unstructured data (e.g. Streams images) Understanding of data flows data architecture ETL and processing of structured and unstructured data. Using data mining to discover new patterns from large datasets. Implement standard and proprietary algorithms for handling and processing data.
Experience with common data science toolkits such as SAS R SPSS etc.
Experience with data visualisation tools such as Power BI Tableau etc.
3-4 years proven development experience in software and software engineering. Understanding of financial services data processes systems and products. Experience in technical business intelligence. Knowledge of IT infrastructure and data principles. Project management experience. Experience in building models (credit scoring propensity models churn etc.)

Additional Information :

Technical Competencies:

Data Analysis
Database Administration
Data Integrity
Knowledge Classification
Research & Information Gathering

Behavioural Competencies:

Adopting Practical Approaches
Articulating Information
Challenging Ideas
Checking Things
Examining Information
Exploring Possibilities
Interacting with People
Interpreting Data
Meeting Timescales

Remote Work :

Employment Type :

Full-time

Key Skills

Laboratory Experience
Immunoassays
Machine Learning
Biochemistry
Assays
Research Experience
Spectroscopy
Research & Development
cGMP
Cell Culture
Molecular Biology
Data Analysis Skills

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About Company

Standard Bank Group

Standard Bank Group is a leading Africa-focused financial services group, and an innovative player on the global stage, that offers a variety of career-enhancing opportunities – plus the chance to work alongside some of the sector’s most talented, motivated professionals. Our clients ... View more

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