Related Skills: SQL, SAS, SPSS, Python, ETL, MS SSIS, SAP BODS, IBM DataStage, BI, OBIEE, SSRS, PowerBI, Tableau, Qlik, MicroStrategy, Excel, VBA
Sample Job Description
At KE Solutions, we’re proud to stand at the forefront of the Big Data revolution. Using the latest analytic tools and processes, we’re able to maximize our offerings and deliver unparalleled service and support. To help carry us even further, we’re searching for an experienced data analyst to join our team. The ideal candidate should be highly skilled in all aspects of data analytics, including mining, generation, and visualization. Additionally, you should be committed to transforming data into readable, goal-driven reports for continued innovation and growth.
Develop, implement, and maintain leading-edge analytic systems, taking complicated problems and building simple frameworks
Identify trends and opportunities for growth
through analysis of complex data sets
Evaluate organizational methods and provide
source-to-target mappings and information-model specification documents for
Create best-practice reports based on data
mining, analysis, and visualization
Evaluate internal systems for efficiency,
problems, and inaccuracies, developing and maintaining protocols for handling,
processing, and cleaning data
Work directly with management and users to
gather requirements, provide status updates, and build relationships
Bachelor’s degree in Mathematics, Computer
Science, Economics, or Statistics
Proven analytic skills, including mining,
evaluation, analysis, and visualization
Technical writing experience in relevant
areas, including queries, reports, and presentations
Strong SAS, Python, SQL or Excel skills with
the ability to learn other analytic tools
Prior experience with database and model
design and segmentation techniques
Experience in ETL and Business Intelligence
(BI) would be an asset
Practical experience in statistical analysis
through the use of statistical packages including Excel, SPSS, and SAS
Proven success in a collaborative,
Related Skills: Python, SAS, Hadoop, Spark, Machine Learning, Supervised Learning, Unsupervised Learning, Reinforcement Learning, Deep Learning, NLP, Image Recognition, Classification, Clustering, Statistics, Mathematics, Programming, Story Telling, Kaggle, Unstructured Data, Data Science, Data Mining, CRISM, Predictive Modelling, Forecasting, SQL, NoSQL, Analytics, Scraping, pandas
Sample Job Description
KE Solutions is looking for a Data Scientist who will support our product, operations, sales, and marketing teams with insights gained from analyzing big data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining and data analysis methods, using a variety of data tools, building and implementing models, creating algorithms and running simulations. They must have a proven ability to drive business results with their data-driven insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Responsibilities for Data Scientist
Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
Assess the effectiveness and accuracy of new data sources and data gathering techniques.
Develop custom data models and algorithms to apply to data sets.
Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
Develop company A/B testing framework and test model quality.
Coordinate with different functional teams to implement models and monitor outcomes.
Develop processes and tools to monitor and analyze model performance and data accuracy.
Qualifications for Data Scientist
Strong problem solving skills with an emphasis on product development.
Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
Experience working with and creating data architectures.
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
Excellent written and verbal communication skills for coordinating across teams.
A drive to learn and master new technologies and techniques.
We’re looking for someone with extensive experience manipulating data sets and building statistical models, has a Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:
Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.
Experience using web services: Redshift, S3, Spark, DigitalOcean, etc.
Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.
Related Skills: SAS, Excel, Emblem, Python, VBA, SQL, Home and Auto, Travel, Pricing, Reserving, OSFI, IFRS, Actuarial Science, CAS, SOA, Modelling, Data Analysis, R, Property Casualty, P&C, Insurance, Math
Sample Job Description
KE Solutions is looking for a Junior Actuarial Analyst to join our expert team of consultants in the Toronto Property & Casualty practice. The P&C team provides consulting services to the financial services industry specializing in general insurance (i.e. other than life and health insurance). The ideal candidate will have strong mathematical, communication and interpersonal skills. Proven experience with programming in R and Python is considered a strong asset for this role. Day-to-day tasks involve supporting our team of consultants and/or analysts on various assignments, including:
Maintain and improve internal reserving databases, including reserve class mappings and data reconciliation
Quarterly reserving analysis:
Maintain quarterly reserving system files including rolling forward projects each quarter and importing the most recent data
Calculate the initial reserve projections based on different assumptions/methodologies
Perform actual versus expected analysis, including explanation of large movements during the quarter
Produce quarterly underwriting year/accident year exhibits for management, group reserve and board meetings
Monitor losses due to catastrophic events
Develop improvements in methods and procedures as necessary to improve efficiency of reserving procedure
Assist with technical accounting to complete quarterly reports to P&C and year-end reports for OSFI
Assist in preparing Appointed Actuary Report annually
Completed Bachelor’s degree in actuarial science, mathematics, statistics, finance or any other major with significant quantitative course work with a minimum overall GPA of 3.0 (please provide transcript copy with application)
Successful completion of 2 or more actuarial exams highly preferred.
2+ years of P&C reserving work experience
Excellent Microsoft Excel skills
Strong written and oral communication skills
Well organized and detail oriented
Interest and ability to think beyond the task at hand