<ul><li>BSc in Engineering, IT, Computer Science from a Recognized University</li><li>1+ years of working experience in a data science /ML Engineer position</li><li>Experience in data engineering, probability and statistics, machine learning, experimental design, and optimization&nbsp;</li><li>Strategic thinker, able to work independently and as a team&nbsp;</li><li>Lead with Agile and Results driven leadership skills&nbsp;</li><li>Sound technical knowledge&nbsp;</li></ul>

ML Engineer/Senior ML Engineer/Associate Lead ML

jobpost

The job holder is responsible for the Retail Hub planning and execution throughout the Software Development Lifecycle, including gathering and prioritizing requirements, defining the product vision, working closely with cross functional team by supporting to ensure revenue and user satisfaction goals are met. The Senior Executive – User Journey&nbsp;also ensures that the product supports the company’s overall Digitization strategy and goals. He / She is also responsible for vendor related SLA monitoring reports and work with management for follow-up actions.<ul><li>Possess a Degree in Computer Science / MIS / Statistics or any other related field</li><li>Minimum 2-4 years of experience in similar capacity</li><li>Sound analytical skills, knowledge in system development and sales process</li><li>Good interpersonal and communication skills</li><li>Possess the capacity for creative thinking and creative campaign execution</li></ul>

Senior Executive - User Journey

<ul><li>BSc in Marketing or Management</li><li>4 - 5 years’ experience in a similar role</li><li>Excellent communication and negotiation skills</li><li>Excellent attention to detail and problem-solving skills</li><li>Ability to build strong professional relationships</li><li>Ability to handle communications constructively</li></ul>

Senior Executive - Retailer Loyalty

<ul><li>&nbsp;Bachelor’s degree in Computer/Telecommunication Engineering / Data Science (Reading MSc also preferred)</li><li>&nbsp;6+Years of Relevant Experience</li><li>&nbsp;Excellent Knowledge in SQL/DBMS/Advanced MS Excel/Power point Skills</li><li>&nbsp;Data Science and Analytics&nbsp;&nbsp;&nbsp;</li><li>&nbsp;Agile methodologies and enterprise resource planning implementation&nbsp;&nbsp;&nbsp;</li><li>&nbsp;Knowledge on Telecom Business Operations</li><li>&nbsp;Experience in Data Management Lifecycle, Data Modelling and Data Governance</li></ul>

Manager - AI Platforms - Lead ML Engineer/Senior Lead

<ul><li>BSc in Engineering, IT, Computer Science from a Recognized University</li><li>1+ years of working experience in a data science position</li><li>Experience in data engineering, probability and statistics, machine learning, experimental design, and optimization&nbsp;</li><li>Strategic thinker, able to work independently and as a team&nbsp;</li><li>Lead with Agile and Results driven leadership skills</li><li>Sound technical knowledge</li></ul>

Data Scientists/Senior Data Scientist/Associate Lead Data

The Person<ul><li>Bachelor's or Master's degree in a technical relevant field (e.g.,&nbsp;Engineering, computer science)​</li><li>5+ years of product management experience in the telecom industry​</li><li>Strong strategic thinking and problem-solving skills​</li><li>Excellent communication and interpersonal skills​</li><li>Ability to work effectively in a fast-paced and dynamic environment​</li></ul>​Preferred:​​<ul><li>Professional qualifications in Business, Product or Marketing ( CIM or&nbsp;CIMA&nbsp;etc)&nbsp;&nbsp;​</li><li>Knowledge &amp; Qualifications on Analytics &amp; related skills&nbsp;​</li><li>Experience in product management in the Sri Lankan market​</li><li>Knowledge of the Sri Lankan telecom industry​</li></ul>

Product Development Consultant - Mobile

<ul><li>G.C.E Advanced Level</li><li>Diploma in Sales / Management / Marketing will be an added advantage</li><li>Minimum 4-5 years’ experience in the sales field</li><li>Should have analytical skills and fluency in all three languages</li></ul>

Senior Account Manager - Emerging Enterprise - Col 1-15

• Possess a Degree in Engineering / IT / Computer science/ Statistics• Possess a Professional Certificate or Diploma in Engineering / IT degree specializing in computer science / statistics• Sound knowledge in machine learning techniques and algorithms• Hands on experience with Python or R• Sound knowledge in data visualization and communication• Excellent understanding in data engineering in different environments• 2-3 years of experience in the relevant field