Job Vacancies at Platinum Careers

Job Description

A Commercial bank is looking for data scientists to join their organization. The Senior Data

Scientists will be key players in the Advanced Analytics group of the Organisation. They will help the organisation:

discover the information hidden in vast amounts of data,

make smarter decisions to deliver even better products, services, improve our customer relationship as well as optimize our business processes.

The Senior Data Scientist’s primary focus will be in applying Artificial Intelligence (AI) / Machine Learning (ML) / Data Mining (DM) techniques, doing Statistical Analysis (SA), and building high quality prediction models/systems integrated with our platforms to bring Business Value.

Responsibilities:

Selecting building, optimizing AI/ML/DM/SA models, and operationalize them in productive environments

AI/ML/DM/SA using state-of-the-art methods

Extending company’s data with third party sources of information when needed

Enhancing data collection procedures to include information that is relevant for building analytic systems

Extracting, Processing, cleansing, verifying the integrity and quality of data used for analysis

Doing ad-hoc analysis and presenting results in a clear manner; constantly tracking of models performance

Integrate model outputs into business applications (like CRM, ERP), and Reporting/Dashboarding tools (Microsoft PowerBI, Reporting Services) or develop if needed web-based front-end layers

Create informative, actionable, and repeatable reporting that highlights relevant business trends and opportunities for improvement

Conduct insightful, ad hoc analyses to investigate ongoing or one-time operational issues

Define and deliver metrics, reporting platforms, dashboards, and analytical models vital for tracking and managing the business

Identify business challenges and initiate process improvement projects

Facilitate the computerization of analytics and data collection processes

Provide analyses for large datasets necessary for decisions using actionable insights

Collaborate with Retail banking, Marketing, Sales, Engineering, Operations, etc. to

build scalable processes and metrics

Responsible for carrying out complex analysis of datasets and conduct appropriate data

validation

Responsible for gathering and cleaning of datasets across multiple data sources

Responsible for spotting vital insights and developing the framework of the

organization’s data system

Provide information on analytic results to business and functional leaders using visualizations to

communicate data and metrics, including data maps, leveraging Tableau, etc.

Coach and educate junior colleagues and new hires; build and deliver training

programs/contents on AI/ML/DM/SA

Skills and Qualifications:

• Excellent understanding of AI/ML/DM/SA techniques and algorithms
• Minimum 10 years of hands-on experience with common data science
• toolkits/frameworks (TensorFlow, Spark ML, Azure ML) and solutions/languages, such as Python, Jupiter, Microsoft AI/ML platform/toolset, SQL-Server ML
• Minimum 10 years of experience in operationalizing in real life / production AI/ML/DM/SA solutions
• Great communication skills, and ability to educate business persons to become data driven
• Ability to uncover use cases from Retail Banking Business problems and needs; ability to translate business problems into AI/ML/Analytics use cases.
• Hands-on Experience with data visualization tools, such Microsoft PowerBI, as well as web front-end developments tools
• Proficiency in using query languages such as SQL, Hive, Pig, as well as ETL tools (Microsoft SSIS, Informatica)
• Experience with Microsoft Big Data and AI platforms/solutions both on-premise and on
• Azure: SQL-Server Big Data Cluster, Azure Data Lake, Synapse Analytics, etc…
• Experienced on Cloud platforms, in particular Microsoft Azure; experience on Linux environments and scripting
• Minimum 5 years of Hands-on experience with Real-Time data Processing tool like
• Kafka, as well as with Spark
• Good applied statistics skills, such as distributions, statistical testing, regression, Deep
• Learning, etc.
• Good scripting and programming skills mainly using Python / Jupiter and leading
• AI/ML frameworks
• Data-oriented personality
• Excellent and hands-on experience on Oracle and MS SQL-Server, and overall database
• design principles

Requirements:

• Master's Degree in appropriate field of study with at least 10 years of equivalent work
• experience in the Retail Banking sector
• Ability to impact operations and effect change without being confrontational
• Detail oriented, analytical and inquisitive
• Ability to work independently and excellent team work spirit
• Extremely organized with strong time-management skills
• Familiar with database and BI/Machine Learning/AI concepts.
• Focus on results and delivery, with a positive and constructive mindset
• Ability to take direction and execute
• Familiar with Agile Project Management Methodologies
• Demonstrate advanced proficiency in Microsoft Office tools

Skills & proficiencies:

• Familiar with Microsoft BI, Big Data and AI Platforms
• Big Picture Thinking
• Work Well Under Pressure
• Communication
• Problem Solving
• Critical Thinking
• Relationship Building

go to method of application »

About our client

• They are an online education company that creates digital products, tech platforms and provides coaching for women who want to launch profitable online courses, so that they can grow their revenue and impact.
• They are on a mission to create wealth opportunities for coaches.
• They are looking for a marketing associate to help attract leads for their digital products and to support clients 
• If you’re hardworking, love marketing and highly organized, then this position is for you!

Here’s what your tasks will be:

• Attract new potential clients by developing, implementing, and executing cutting-edge strategic marketing plans for the company 
• Ensure clear goals for marketing campaigns / programs and track and report on performance versus those goals.
• Work with the CEO to determine the right audience, right messaging, and right marketing tactics to deliver on campaign / program goals.
• Generate the content for use in marketing campaigns, programs, and other initiatives. 
• Run ads across different platforms
• Manage distribution and delivery of marketing emails, social media posts, and other marketing collateral.
• Develop and manage project plans to ensure smooth, on-time delivery of marketing campaigns / initiatives.
• Identify creative, out-of-the box ideas for marketing campaigns that can improve our efforts across the board.

Qualifications

• 2+ years of digital marketing and client service experience.
• Strong written and verbal communication skills
• Excellent at writing copy 
• Extremely familiar with digital platforms.
• Experience with wordpress and SEO
• Collaborative
• Positive
• Highly organized, detail-oriented, and loves to develop new systems and processes.
• Excellent at multitasking
• Takes direction well and enjoys being part of a team.
• Independent, self-starter who executes tasks on time, every time.
• Strong communication skills and willingness to take constructive feedback.
• Loyal, hardworking, and comfortable in a fast paced small-business environment where priorities can change quickly.
• Available to attend daily, weekly, and monthly meetings.
• Available to work full-time, Monday through Friday 
• Want to work from home with an amazing company with a huge mission

go to method of application »

Job Description
Job Overview

To drive all Bank-wide Kafka activities.

Work on other tasks as assigned by the Chief Data Office

Key Responsibilities

• Responsible for full software lifecycle, design and development of microservices and Kafka solutions. Knowledge of consumer groups
• Ensure optimum performance, high availability and stability of solutions.
• Familiarity with cloud environments
• Strong understanding of relational database concepts (SQL-Server, Oracle), with strong knowledge of big data concepts (Spark, BDC, HDFS, Hbase, etc…)
• Demonstrate strong communication skills (written and verbal) and an ability to work in a collaborative team-oriented environment Strong understanding of Confluent Kafka
• Experience with Kafka stream data processing
• Deep understanding on creating, configuring stream application topics
• Experience developing a Kafka Producer API

Skills/Competences

• Expertise in building real-time, performant Kafka solution. Monitoring, redundancy, and performance tuning
• Hands on experience with Kafka connectors and Kafka connect converters
• Knowledge of KSQL, K-streams, Kafka brokers, zookeepers and Kafka Control center is a significant plus
• Ability to impact operations and effect change without being confrontational
• Must demonstrate a deep understanding of API and integration concepts and technologies, such as REST, SOAP, JSON, XML, message queues, and integration pattern/frameworks
• Familiar with database and BI/Machine Learning/AI / Big Data concepts
• Demonstrated consulting skills, with change management concepts and strategies, including communication, culture change and performance measurement system design
• Knowledge of risk data architecture and technology solutions
• Familiar with Agile Project Management Methodologies
• Ability to work independently and excellent teamwork spirit
• Extremely organized with strong time-management skills
• Good communication skill (Oral & Written)
• Demonstrate advanced proficiency in Microsoft Office tools
• Problem Solving, Critical Thinking and Relationship Building
• Detail oriented, analytical and inquisitive
• Self-management
• Big Picture Thinking
• Interpersonal skills

Qualification and Experience

Mandatory

• MSc in relevant field
• 5+ years of Kafka development and Kafka architecture building experience, ideally in the Retail Banking sector
• Excellent analytical skills, written and verbal communication skills
• Strong expertise on Confluent Kafka

Desirable

IT certification and other professional qualification

go to method of application »

Job Description

Job Overview

Drive all organization-wide data governance activities and will be responsibility for improving the quality and managing the protection of sensitive data and information assets.

Establish and ensure adherence to an enterprise data governance framework for data policies, standards and practices to achieve the required level of consistency, quality and protection to meet overall business needs.

Work on other tasks as assigned by the Chief Data Officer

Key Responsibilities

• Establish and govern an enterprise data governance implementation roadmap including strategic priorities for development of information-based capabilities.
• Design and roll out an enterprise-wide data governance framework, with a focus on improvement of data quality and the protection of sensitive data through modifications to organization behaviour policies and standards, principles, governance metrics, processes, related tools and data architecture.
• Define roles and responsibilities related to data governance and ensure clear accountability for stewardship of the company’s principal information assets.
• Serve as a liaison between Business and Functional areas and DMO to ensure that data related business requirements for protecting sensitive data are clearly defined, communicated, and well understood and considered as part of operational prioritization and planning.
• Develop & maintain inventory of the enterprise information maps, including authoritative systems, owners, and make sure the enterprise Data Catalogue is fully maintained.
• Develop and deliver trainings and coaching for increasing Data Citizenship within all segments of the Bank.
• Define indicators of performance and quality metrics and ensure compliance with data related policies, standards, roles and responsibilities, and adoption requirements.
• Lead Senior Management, comprising resources from the Business and Functional areas and IT business and operations functions, to achieve their objectives; resolve issues escalated from Business and Functional areas data governance representatives.
• In conjunction with the DMO, provide progress reports to Board management and oversee periodic updates to the DMO Data Governance Roadmap.
• Coordinate external data sources to eliminate redundancy and streamline the expense related to those services.
• Identify new business opportunities pertaining to the use of information assets to achieve efficiency and effectiveness in the marketplace / represent data as a strategic business asset at the Senior Management table.
• Facilitate the development and implementation of data quality standards, data protection standards and adoption requirements across the enterprise.

Skills/Competences

• Knowledge of industry leading data quality and data protection management practices
• Knowledge of data governance practices, business and technology issues related to management of
• enterprise information assets and approaches related to data protection
• Knowledge of data related government regulatory requirements and emerging trends and issues
• Demonstrated consulting skills, with change management concepts and strategies, including
• communication, culture change and performance measurement system design
• Knowledge of risk data architecture and technology solutions
• Internally and externally recognized subject matter expert that influence the way things are done
• Familiar with Agile Project Management Methodologies
• Familiar with database and BI/Machine Learning/AI concepts Ability to impact operations and effect change without being confrontational
• Ability to work independently and excellent teamwork spirit
• Extremely organized with strong time-management skills
• Ability to take direction and execute
• Good communication skill (Oral & Written)
• Demonstrate advanced proficiency in Microsoft Office tools
• Problem Solving, Critical Thinking and Relationship Building
• Detail oriented, analytical and inquisitive
• Self-management
• Big Picture Thinking
• Interpersonal skills
• Relationship Building

Qualification and Experience

Mandatory

• MSc in relevant field
• 5 years of equivalent work experience in the Data Governance field, ideally in the Retail Banking sector
• Excellent analytical skills, written and verbal communication skills

Desirable

IT certification and other professional qualification