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Lexisnexis Risk Solutions
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Data Scientist - Cape Town ( Open to other locations) Are you looking to develop your Data Scientist experience? Would you enjoy working on our cutting-edge products? Join us in shaping a more just world. About Us : Lexis Nexis, a part of RELX, is a leading global provider of legal, regulatory, and business information. We help customers increase
Job Source: Lexisnexis Risk SolutionsTalenco Recruitment Specialists
Durban, KwaZulu-Natal
These jobs were popular with other job seekersand execute cutting-edge AI and BI solutionsdata science projectsanalytics and machine learning models to address business challenges and generate actionable insightsdata strategies, build models, and embed models into software-driven business processes Data Analysis and Modeling: Develop and deploy mac
Job Source: Talenco Recruitment SpecialistsRecruitech
Durban North, KwaZulu-Natal
These jobs were popular with other job seekers Reference: DUR000086-MN-1 An exciting opportunity to join a software consulting house with over 3 decades of tech driven solutions using the latest cutting-edge technology. Our client is seeking a Data Scientist with a strong background in machine learning. The ideal candidate must be willing to travel
Job Source: RecruitechRecruit Assist
Durban, KwaZulu-Natal
These jobs were popular with other job seekers Recruit Assist Data Analyst/Scientist (Background stats/machine learning/T-SQL, R, Python, Excel.) Durban Permanent Full Time Published: 6 days ago Non EE/AA Easy apply Introduction DATA SCIENTIST/ANALYST to assist in the development of new AI offerings, monitoring of existi
Job Source: Recruit AssistLexisnexis Risk Solutions
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Senior Data Scientist - Cape Town ( other locations will be considered) Are you looking to develop your Data Scientist experience? Would you enjoy working on our cutting-edge products? Join us in shaping a more just world. About Us : Lexis Nexis, a part of RELX, is a leading global provider of legal, regulatory, and business information. We help
Job Source: Lexisnexis Risk SolutionsRecruitech
Durban, KwaZulu-Natal
Send an email about this job to a friend or to yourself. An exciting opportunity to join a software consulting house with over 3 decades of tech driven solutions using the latest cutting-edge technology. Our client is seeking a Data Scientist with a strong background in machine learning. The ideal candidate must be willing to travel to the office d
Job Source: RecruitechLexisnexis Risk Solutions
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Would you like to work with our complex data-sets?About the Role As a Senior Data Scientist, you will analyze data, build models, and offer insights for business decisions. Your role involves collaborating with cross-functional teams to discover opportunities for growth and improvement. Responsibilities Conducting statistical analysis and modeling
Job Source: Lexisnexis Risk SolutionsXcede Group
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These jobs were popular with other job seekers Are you a Data Scientist with a passion for solving complex problems in the financial services industry? One of our clients, a consulting firm, is seeking a highly skilled and experienced professional to join their team and help drive business success for our clients. The following will be required fro
Job Source: Xcede Group,
R 400000 ZA Per annum
Simera Sense is fast becoming a leading mid to high-resolution earth observation camera supplier for Cube Sats and small satellites. Our optical payload products aim to offer complete space imaging solutions for small satellites with plans to expand. We are a fast-growing, dynamic team of enthusiastic engineers that supplies space and satellite companies from around the globe. Our company is based in Somerset West, close to all amenities and diverse natural beauty, providing great lifestyle options. To apply for this position, go to our website: https://simera-sense.com/jobs/
Job Purpose:
The purpose of the job is to develop sophisticated models and algorithms to transform raw data into actionable insights, analyse data to uncover insights that inform organisational decisions and predict future trends, and create predictive models and machine learning algorithms to drive innovation and strategic decision-making within a company.
Key Performance Areas and Responsibilities:
Model Development: Develop sophisticated models and algorithms that transform raw data into actionable insights. This includes exploring various statistical and machine-learning techniques to extract meaningful patterns from complex datasets and working with diverse data sources, including PLM (Product Lifecycle Management), ERP (Enterprise Resource Planning), MOM (Manufacturing Operations Management), on-site equipment, Saa S applications, etc.
Data Analysis: Analyse large volumes of data to uncover valuable insights and identify trends, correlations, and anomalies that can inform critical business decisions.
Report Development: Building data visualisation tools, dashboards, and reports and integrating data from multiple business systems into a cohesive and comprehensive visualisation.
Predictive Modelling: Create predictive models using statistical methods and machine learning algorithms. These models will help us anticipate trends.
Collaboration: Work closely with all internal teams to understand business requirements and translate them into data-driven solutions.
Automation: Writing programs to automate data collection and processing.
Required Qualifications:
Bachelor’s Degree in Mathematics, Computer Science, Data Science, or Statistics.
A Master's Degree or Ph D will be advantageous.
Required Experience:
Programming Languages: Proficiency in languages like Python or R is crucial.
Data Wrangling and Cleaning: Ability to prepare, clean, and process large and complex datasets.
Data Visualization: Skill in creating clear and informative visualisations to communicate insights.
Statistical Analysis: Understanding of statistical concepts and techniques.
Machine Learning: Knowledge of machine learning algorithms and their application.
Domain Knowledge: Familiarity with the specific industry or domain you’re working in.
Problem-solving: Data scientists must be adept at formulating questions, designing experiments, and solving complex problems.
Communication: Ability to convey findings and insights to technical and non-technical stakeholders.
Required Competencies:
Achievement orientation
Concern for order, quality and accuracy
Initiative
Information seeking
Customer service orientation
Analytical thinking
Conceptual thinking
Self-control
Self-confidence
Flexibility
What we offer:
The opportunity to work in the fast-growing space industry.
Niche global market for optical payloads for microsatellites.
Cutting-edge technology at your fingertips
A competitive salary
A friendly working environment.
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