VINIRMA Consulting is currently looking for Data Scientist / Data Intelligence Analyst for one of its clients which is a Business Consulting, IT Solutions and Services company in Qatar with the following terms and conditions.
Data scientist / Data Intelligence Analyst will be helping bank to implement various machine learning-based tools or processes within the Bank, such as recommendation engines or automated lead scoring systems.
We are looking at someone to help bank to discover the information hidden in vast amounts of data and help bank to make smarter decisions to deliver better products and services to customers.
The primary focus of the Data scientist will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products.
Depth of knowledge in quantitative analytic methods, data management, visualization, and programming skills suitable to drive data driven decisions.
Researches, models, implements and validates algorithms (predictive and prescriptive) specific to Banking industry to analyze diverse sources of data & achieve targeted outcomes.
COMPETENCIES, KNOWLEDGE AND EXPERIENCE
Bachelor s degree with five (5) years of experience OR Master s degree with two (2) years of experience in a quantitative/analytical/STEM field
Seven to 10 years of experience in the BFS domain working on enterprise DWH like SAP, Oracle or SAS
One (1) year of working experience in Machine Learning, Deep Learning, or Artificial Intelligence
One (1) year of working programming experience in Python, Ruby, R, Matlab, Scala, or Java
One (1) year of hands-on experience with Big Data technologies
Experience in libraries such as TensorFlow, Pytorch, or Keras
Experience in Agile Software Development
Knowledge in Google Analytics and/or Adobe Digital
Adherence to process, system and schedule
Feedback, motivating, mentoring and coaching
Fostering Team work
Building collaborative relationship
Rich working knowledge of SAP / Oracle BI / SAS
Expertise in analyzing large, complex, multi-dimensional datasets using a variety of tools like Python, R, Statistical Analysis System (SAS), or Statistical Package for the Social Sciences (SPSS)
Comfortable with both relational databases and Hadoop-based data mining frameworks
Advanced Structured Query Language (SQL) skills
Proficient in visualization tools like Power Business Intelligence (BI), Tableau
Strong business acumen with the ability to communicate with both business and Information Technology (IT) leaders
Deep understanding of statistical and predictive modeling concepts, machine learning approaches, clustering and classification techniques, and recommendation and optimization algorithms
Detailed Roles and Responsibilities
Primary objectives of the job role include development and tracking of Key Performance Indicators (such as customer numbers, Wealth Management products cross-sell, balances and various profitability measures), customer segmentation design (geographic, industry and sales range as examples), analysis of third party prospect data to help design marketing campaigns and identify customer contact strategies. The main focus of the analyst will be supporting the team s broader efforts in developing information infrastructure, targeting strategies and report automation.
Take decisions with the full knowledge of all the relevant business, economic, political, and competitive environment.
Ensure that the Bank is moving forward with stretched objectives in regards to project activities.
Align functional activities and initiatives with the objectives and mission of the Bank.
Understanding, advocating and supporting the enterprise's business and IT strategies.
Setting the performance metrics of the Business Intelligence and Data management function.
Strong analytical thinking skills, logical in problem solving
Strong understanding of data structures and databases (relational or non) with a proven ability to work with large, structured, and un-structured datasets
Uses quantitative and analytical techniques to accelerate profitable growth and customer engagement - unlocking value across all functional areas of business
Ability to fix issues, streamline code, and automate processes to ensure they work effectively and meet requirements.
High attention to detail, capacity to identify patterns and abnormalities
Provide analytical support to various lines of business to formulate sound business strategies & help is drawing insights from data to make quick, well informed decisions with available information
Develop visualizations and dashboards to deliver insights (eg: Tableau, Power BI, etc.) that effectively communicate results and recommendations.
Engage and collaborate with different teams to understand and create opportunities
Work with Business units and technology teams to develop solution models and provide analysis to support marketing and customer relationship management
Ability to use Big Data tools (Hadoop, Spark, H2O, CDSW, Domino Labs, etc.) to build data analytics solutions
Ability to build Machine L:earning and Artificial Intelligence (AI) models from development through testing and validation
Primarily focuses on daily deliverables of routine and defined outputs, while at the same time developing knowledge of the broader context in which the work is being performed
As a team member of the PMO Team work co-operatively with others on a team.
Provide recommendations for the Section Head of Enterprise Architecture and PMO.
Nominate for training as per Banks s guidelines, conduct performance reviews and manage leave and overtime to ensure efficiency.
Terms and conditions
Joining time frame: 2 weeks (maximum 1 month)
Should you be interested in this opportunity, please send your latest resume in MS Word format at the earliest