Intern – Data Science – Axiata Digital Labs in Colombo, Western Province
Welcome to our job portal, where Axiata Digital Labs is offering exciting employment opportunities for the position of Intern - Data Science in the Western Province area. We are currently seeking Internship candidates.
We are looking for individuals who possess excellent Engineering and Information Technology skills and have relevant Not Applicable in the field. Moreover, we highly value traits such as honesty, discipline, and accountability in our prospective employees.
At Axiata Digital Labs, we offer a competitive estimated salary of approximately රු. 16,000 - රු. 38,000 (per Month). However, please note that the final salary offer will be determined by the company based on various factors.
As a company operating in the IT Services and IT Consulting industry, we provide a wide range of professional opportunities. If you are interested in exploring a rewarding career path with Axiata Digital Labs, we encourage you to submit your application directly through our website.
Join our growing team and embark on a fulfilling career journey with Axiata Digital Labs. Don't miss out on the chance to be part of our dynamic work environment. Apply now and take the first step towards a bright future.
Job Information
Company: | Axiata Digital Labs |
Position: | Intern - Data Science |
Region: | Colombo - Western Province, Western Province |
Education: | Confidential |
Job Function: | Engineering and Information Technology |
Seniority Level: | Not Applicable |
Salary: | LKR 15.800 - LKR 38.000 per Month |
Job Type: | Internship |
Industry: | IT Services and IT Consulting |
Job Description
Are you passionate about data and eager to apply your skills in a real-world setting? Join our innovative team as a Data Science Intern and take your career to the next level.
Responsibilities:
- Collaborate with team leaders and members to solve client analytics problems and document results and methodologies.
- Assist in developing, training, testing, and validating machine learning algorithms for business problems.
- Work closely with MLOps, DevOps, and other IT teams to deploy developed ML algorithms.
- Participate in experimental design approaches to validate findings or test hypotheses.
- Validate analysis by comparing appropriate samples.
- Employ suitable algorithms to discover patterns.
- Use qualification and assurance information to quantify the accuracy metrics of the analysis.
- Collaborate with data stewards to ensure compliance with access management and control policies and meet qualification and assurance requirements.
- Present findings in easy-to-understand terms for the business.
- Communicate results that may contradict common beliefs, if necessary.
Qualifications/Skills/Knowledge/Experience:
- Currently pursuing a BSc Degree in Electronics, Telecommunications, Electrical, IT, Computer Science, or a relevant degree.
- Previous experience in Data Science, Analytics, ML, AI, or related work in telecommunications or software development is an added advantage.
- Basic knowledge of statistical packages, machine learning algorithms, and familiarity with principles of distributed computing and/or distributed databases such as Hadoop.
- Good communication and interpersonal skills.
- Basic knowledge of business and functional areas.
Benefit
- Gaining experience
- Taught first
- Receiving a bonus for overtime
Application Requirements
- Physically and mentally healthy
- Minimum age of 17 years
- Disciplined and punctual
- Honest and responsible
- Good personality
- Enthusiasm in working and learning
- For other requirements, please check through the job form.
Company address
Province | Western Province |
City | Colombo |
Full Address | Axiata Digital Labs, Parkland Level 11, 33 Park St, Colombo 00200, Sri Lanka |
Google Map | Google Map |
Job Application Information
Make sure you fill out the application form first and wait for HRD to call for an interview before you go to the company in person.
Applying for Free Jobs is free of charge.
If you find a vacancy that indicates fraud, please report it to us.