Data Scientist - KT

DCI CONSULTANTS PRIVATE LIMITED; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

DCI CONSULTANTS PRIVATE LIMITED seeks a data science professional with 4+ years of experience to solve high-impact problems, deploy ML models in the cloud, and guide end-to-end data engineering for analytics. You will collaborate with IT and business units, stay at the forefront of AI innovations, and contribute to scalable data-driven solutions across the organization.

The role emphasizes strong programming in Python/R/SQL, deep learning expertise, and effective communication and visualization

Qualifications

• 4+ years of active data science work with a reputable employer.
• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related quantitative discipline.
• High proficiency in problem-solving for data science (e.g., MECE, root cause analysis).
• Familiarity with MLOps, end-to-end model development and deployment in cloud environments (e.g., AWS).
• Deep learning theory and practice (transformers, reinforcement learning); AI engineering (embeddings, LLMs, GenAI, LangChain/LangGraph, vector DBs).
• Experience with data engineering for data science (ELT, structured data).
• Strong team player; superb communication and visualization skills.
• Strong programming in Python (and frameworks), R, SQL, Shell scripting.

Responsibilities

• Engage in high impact problem-solving exercises and assist in selecting and implementing algorithms.
• Support project management efforts and ensure correctness, efficiency, and integrity of team solutions.
• Engage IT and business stakeholders to co-create high-value data science solutions.
• Stay at the cutting edge of data science by surveying the landscape and uplifting technical proficiency.

Skills

Problem solving

MECE framework

Root cause analysis

Team collaboration

Communication

Data visualization

Python programming

R programming

SQL

Shell scripting

Education

Bachelor's or Master's in Computer Science/Data Science/Statistics/Mathematics/Engineering

Tools

Python

R

SQL

Shell scripting

LangChain

LangGraph

Vector databases

ELT concepts

Job description

What You Will Do

• You will engage in high impact problem-solving exercises, assist in the selection and implementation of algorithms, support project management efforts, and be responsible for the correctness, efficiency, and integrity of your team's solutions.
• Contribute to the team’s technical workflow, processes, and methods. You will be responsible for organizing your team’s efforts, uplifting overall practices where possible, and reviewing the work of your peers to ensure high standards and conformity to best practice.
• Engage key stakeholders from IT and business units to co-create high-impact and high value solutions for the Customer. This involves frequent engagement and building of effective partnerships with technical units like system project leaders and data engineers, and our business units.
• Stay at the cutting edge of data science innovations by actively surveying the landscape and consistently uplifting your technical proficiency.

Requirements

• 4+ years of active data science work with a reputable employer.
• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative discipline.
• High proficiency in problem-solving for data science (e.g., with suitable frameworks like MECE, root cause analysis, etc.).
• Familiarity in MLOps as a framework, with strong experience of end-to-end model development and deployment in the cloud (e.g., AWS).
• Seasoned in the theory and execution of deep learning algorithms and architectures (e.g., transformer models, reinforcement learning), AI Engineering (e.g., neural embeddings, LLM models, building of GenAI systems with frameworks like LangChain and LangGraph, vector databases, EDD, etc.), optimization, statistical modelling, and multi-criteria decision analysis.
• Experience with data engineering for data science (e.g., ELT concepts, structured table transformation experience, database technologies, etc).
• Strong team player.
• Superb communication and visualization abilities.
• Strong programming and development skills in Python (and accompanying frameworks), R, SQL, Shell scripting.

Working Location: Central