Senior Data Scientist

SCIENTIFIC INFRA AND PRIVATE ASSETS PTE. LTD.; Singapore; Hybrid; SGD 100,000 - 125,000; Full time

Job summary

A leading analytics firm in Singapore is seeking a skilled professional to develop model pipeline tools to convert unstructured financial data. The ideal candidate has 3-4 years of experience in machine learning and programming languages including Python and R. This full-time position offers a competitive salary, healthcare, and pension benefits, with flexible work arrangements requiring a minimum of three office days. Interested candidates should apply by sending their CV and cover letter to [e-mail].

Benefits

Competitive salary

Healthcare and pension plan

Flexible work arrangements

Qualifications

• 3-4 years professional experience required.
• Experience in building and deploying applications.
• Knowledge of machine learning techniques and applications.

Responsibilities

• Develop model pipeline tools to convert unstructured data.
• Liaise with the production team to maintain developed models.
• Provide analysis and commentary on investment outlook.

Skills

Machine learning technology

Big data processing framework

Programming languages (Python, R)

Data collection methodologies

Web technologies (Javascript, HTML-CSS)

Education

Degree in Computer Science or IT

Master's degree or data engineering certification (e.g. IBM)

Tools

Spark

MongoDB

AWS

Prodigy

Job description

About Scientific Infra

Scientific Infra is a provider of market indices, benchmarks and valuation analytics for investors in unlisted infrastructure equity and private debt. EDHECinfra maintains the infraMetrics® platform: an online information system that gives access to key market indices including the infra300® and infra100® series. InfraMetrics® also includes a wealth of valuation data and analytics, risk metrics, a fund strategy analysis tool providing robust performance quartiles for any segment, strategy or vintage, and peer group analyses allowing investors to compare themselves against comparable segments of the market.

Responsibilities

• The successful applicant will be responsible for the development of model pipeline tools to convert unstructured financial and textual data into structured data formats
• Liaise with the production team to implement and maintain the developed models.>
• Providing ongoing analysis and commentary of the investment outlook of an infrastructure sector.
• Work closely with the Head of Data to develop other data products as necessary.

Skills and Qualifications

This is an opportunity for a candidate with:

• 3-4 years professional experience
• Work experience in building and deploying applications and machine learning technology
• Familiar with different programming/statistics language
• Knowledge in big data processing framework and cloud services (e.g. Spark, MongoDB, AWS)
• Knowledge of the data collection methodologies and its tools in industry scenario (e.g. Prodigy, Amazon MTuck)
• Knowledge of machine learning techniques and applications (including image processing, natural language processing, Python, R, MySQL)
• Knowledge of XBRL/iXBRL is desirable
• Familiar with web technologies (i.e. Javascript, HTML-CSS)
• Degree in Computer Science, IT, or similar field; Master - is a plus
• Data engineering certification (e.g. IBM) - is a plus

This is a full-time, permanent position.

Remuneration is competitive and includes a bonus for meeting performance objectives.

Attractive salary and bonus, healthcare and pension plan coverage. Flexible work is available, but with an expectation of a minimum three days in the office. The salary will be determined according to EDHEC's pay scale, the candidate's qualifications and experience.

A work pass is necessary.

Flexible work is available, but with an expectation of a minimum three days in the office.

To apply for this offer, please send a CV and a cover letter to: [e-mail].

To know more about Scientifc Infra: https://edhec.infrastructure.institute/mission