Specialist Data Scientist

Empowering Africa's tomorrow, together one story at a time. With over 100 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 Specialist Data Scientist - Financial Modelling (AVP)Leverage deep data science expertise in advanced statistics, data wrangling, data mining, data analysis, feature engineering &predictive modeling, storytelling, distributed computing & data visualization, 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 Descriptiono Participate in design thinking processes to determine & confirm hypotheses and priority questions / data challenges & related metrics to be solved foro Translate business questions to be solved into data requirements & define a data solutions to deliver against these requirementso Proactively partner with the data engineering team to refine the data requirements deliver raw data to Data Science teams for interpretation & analysiso Design fit for purpose data interpretation & analysis approaches & create customized data models, algorithms, machine learning tools and recommendation engines to achieve the desired business outcomeso 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 intuitiono Analyze & interpret complex data setso Apply quality assurance frameworks to test model & analysis techniques (e.g. algorithms, models) & overall data qualityo Apply the testing frameworks to monitor and analyse model performance & data integrity on all data assignmentso Produce business insights and recommendations based on data analysis & modeling concluded & where relevant with knowledge and experience of e.g. Databricks, Python, Hadoop, Apache Sparko Use storytelling and data visualization techniques to maximize impact & deliver a user friendly product to businesso 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. dashboards, reports etc.o Present data analysis (trends, insights, forecasts) & findings to business & show tangible business impact to be derived from the data science processo Facilitate peer reviews & feedback on data solutionso Refine data analysis based on business & peer reviewso Contribute to the assessments of the effectiveness and accuracy of new data sources & data gathering techniqueso 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 providedo 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 datao Develop and retain models on customer behavior, retention and segmentationo Build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organizationo Use machine learning tools and statistical techniques to produce solutions to problemso Assess the effectiveness of data sources and data-gathering techniques and improve data collection methodso Conduct research from which you'll develop prototypes and proof of conceptso Look for opportunities to use insights/datasets/code/models across other functions in the organisationo Development of standardised modelling of behaviour/retention/value in customerso Maintenance of dictionaries: codes, dimensions, setting up tables etco Run and compare models on a regular basiso Run Cluster specific scenarios to cover specific local issueso Business process maintenance (segmentation, primacy etc)o Produce appropriate documentation and training material to enable handover to a BAU team.o KVD Predictionso Using and deriving value from implemented modelsAccountability: Risk & Governanceo Identify data risks and mitigate these (pre, during & post solution deployment / data delivery)o Create business cases & solution specifications for various governance processes (if required)o Apply data quality assurance frameworks and tools to guarantee data quality & data integrity (always) for specific data solutionso Contribute to risk, governance, compliance & broader regulatory processes as a data science expert (if & when required)Accountability: Peopleo Coach & mentor other data scientistso Conduct peer reviews, testing, problem solving within and across the broader teamThe following degrees and/or subjects may be particularly useful:o Data scienceo Industrial engineeringo Mathematicso Statisticso Actuarial scienceo Business mathematics and informaticso Additional Job DescriptionAdditional Job DescriptionEnsure 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 Additional Job DescriptionAdditional Job DescriptionEnsure 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.Experience, Knowledge and Skills RequiredBachelors degree in Maths, Science, Statistics or relevant.3-5 Years experience in predictive modellingExperience in SAS, SQL and Python requiredExperience in Databricks would be advantageous Education Bachelor's Degree: Information Technology Absa Bank Limited is an equal opportunity, affirmative action employer. In compliance with the Employment Equity Act 55 of 1998, 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