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Specialist Data Scientist page is loadedSpecialist Data Scientist Apply remote type Hybrid locations Johannesburg time type Full time posted on Posted Yesterday time left to apply End Date : June 24, (4 days left to apply) job requisition id R-Empowering Africa's tomorrow, together…one story at a time.

With over years of rich history and strongly positioned as a local bank with regional and international expertise, a career with our family offers the opportunity to be part of this exciting growth journey, to reset our future and shape our destiny as a proudly African group.

Job Summary Leverage deep data science expertise in advanced statistics, data wrangling, data mining, data analysis, feature engineering & predictive modeling, storytelling, distributed computing & data visualisation, machine learning tools & data intuition to define, build, operationalize & continuously improve data solutions that deliver relevant, quality assured, accurate & commercially impactful data to the business.Job Description Required : Bachelor's Degrees or Advanced Diploma : Statistics, Physical, Mathematical, Information Technology or Computer Sciences 3+ years experience in data science or data analytics.

Preferred : Experience in the financial services sector Experience or exposure to contact center or call center environments Knowledge & Skills : Data visualization, analysis and presentation experience Machine learning, time series analysis & forecasting experience Exposure to AWS and / or Databricks Key areas of responsibility Data Science

• Participate in design thinking processes to determine & confirm hypotheses and priority questions / data challenges & related metrics to be solved for
• Translate business questions to be solved into data requirements & define a data solutions to deliver against these requirements
• Proactively partner with the data engineering team to refine the data requirements deliver raw data to Data Science teams for interpretation & analysis
• Design fit for purpose data interpretation & analysis approaches & create customized data models, algorithms, machine learning tools and recommendation engines to achieve the desired business outcomes
• Use advanced data science skills to mine & interpret data.

These include but are not limited to : advanced statistics, data wrangling, data mining, data analysis, feature engineering & predictive modeling, distributed computing, machine learning tools & data intuition

• Analyse & interpret complex data sets
• Apply quality assurance frameworks to test model & analysis techniques (e.g.
• Apply the testing frameworks to monitor and analyse model performance & data integrity on all data assignments
• Produce business insights and recommendations based on data analysis & modeling concluded & where relevant with knowledge and experience of e.g.

Java, Scala, Python, Hadoop, Apache Spark & Kafka

• Use storytelling and data visualization techniques to maximize impact & deliver a user friendly product to business
• Contribute to the consolidation of data solutions into viable end products (in the language of business) that can be leveraged on an ongoing basis e.g.
• Present data analysis (trends, insights, forecasts) & findings to business & show tangible business impact to be derived from the data science process
• Facilitate peer reviews & feedback on data solutions
• Refine data analysis based on business & peer reviews
• Contribute to the assessments of the effectiveness and accuracy of new data sources & data gathering techniques
• Promote data literacy with your business stakeholders by sharing best practices and showing tangible business impact & recommendations as a direct result of the the data solutions provided
• Stay ahead of the curve on data science trends & leading practice data science tools and techniques & transition the organisation to advanced methods for the continuous optimization of dataAccountability : Risk & Governance
• Identify data risks and mitigate these (pre, during & post solution deployment / data delivery)
• Create business cases & solution specifications for various governance processes (if required)
• Apply data quality assurance frameworks and tools to guarantee data quality & data integrity (always) for specific data solutions
• Contribute to risk, governance, compliance & broader regulatory processes as a data science expert (if & when required)Accountability : People
• Coach & mentor other data scientists
• Conduct peer reviews, testing, problem solving within and across the broader team Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework and Absa Policies and Policy Standards.Understand and manage risks and risk events (incidents) relevant to the role.

Education Bachelor's Degree : Information Technology (Required), Bachelor's Degree : Statistics (Required)Absa Bank Limited is an equal opportunity, affirmative action employer.

In compliance with the Employment Equity Act 55 of , preference will be given to suitable candidates from designated groups whose appointments will contribute towards achievement of equitable demographic representation of our workforce profile and add to the diversity of the Bank.

Absa Bank Limited reserves the right not to make an appointment to the post as advertised About Us Absa Group Limited ("Absa Group") is listed on the Johannesburg Stock Exchange and is one of Africa's largest diversified financial services groups.

Absa Group offers an integrated set of products and services across personal and business banking, corporate and investment banking, wealth and investment management and insurance.

Absa Group owns majority stakes in banks in Botswana, Ghana, Kenya, Mauritius, Mozambique, Seychelles, South Africa, Tanzania (Absa Bank Tanzania and National Bank of Commerce), Uganda and Zambia and has insurance operations in Botswana, Kenya, Mozambique, South Africa and Zambia.

Absa also has representative offices in China, Namibia, Nigeria and the United States, as well as securities entities in the United Kingdom and the United States, along with technology support colleagues in the Czech Republic.

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