Job Description

About the Role

We are seeking a Data Scientist (Machine Learning) to develop and deploy advanced analytics and machine learning solutions that support business operations and digital transformation initiatives. The successful candidate will work closely with cross-functional teams to analyze large datasets, build predictive models, and deliver actionable insights to improve operational efficiency and business performance.

Key Responsibilities

• Develop, train, validate, and deploy machine learning models for predictive analytics and optimization.

• Analyze structured and unstructured datasets to identify trends, patterns, and business opportunities.

• Design and implement data pipelines for data collection, cleansing, feature engineering, and model training.

• Build forecasting, classification, regression, clustering, and anomaly detection models.

• Collaborate with business stakeholders to understand requirements and translate them into data-driven solutions.

• Evaluate model performance and continuously improve model accuracy and reliability.

• Develop dashboards and reports to communicate insights and recommendations.

• Work with data engineers to integrate machine learning models into production systems.

• Ensure data quality, governance, and compliance with organizational standards.

• Research and evaluate new machine learning algorithms and emerging technologies.

Requirements

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related discipline.

• 3–8 years of experience in Data Science, Machine Learning, or Advanced Analytics.

• Strong programming skills in Python (Pandas, NumPy, Scikit-learn).

• Experience with machine learning frameworks such as TensorFlow, PyTorch, or XGBoost.

• Strong knowledge of supervised and unsupervised learning techniques.

• Experience with SQL and relational databases.

• Familiarity with cloud platforms such as AWS, Azure, or GCP.

• Experience with data visualization tools such as Power BI or Tableau.

• Knowledge of Git, Docker, and MLOps concepts is an advantage.

• Strong analytical, problem-solving, and communication skills.

Preferred Skills

• Experience in time-series forecasting and predictive maintenance.

• Knowledge of optimization techniques and operations research.

• Experience with big data technologies such as Spark or Hadoop.

• Familiarity with Generative AI and Large Language Models (LLMs) is a plus.

• Experience working in the utilities, energy, manufacturing, or industrial sectors is highly desirable.

Key Competencies

• Strong analytical and statistical thinking.

• Ability to communicate complex technical concepts to non-technical stakeholders.

• Excellent problem-solving and critical thinking skills.

• Self-motivated with the ability to work independently and in a collaborative team environment.

• Strong stakeholder management and project delivery skills.

About Unison Group

Unison Consulting was launched in Singapore on September 2012, the hub of the financial industry, with innovative visions in the technocratic arena. We are a boutique next-generation Technology Company with strong business-interests in Liquidity risk, Market Risk, Credit Risk and Regulatory Compliance.

Unison provides technology consulting and services to implement Risk Management and Risk Analytics System for Financial Institutions. Our services suite comprises of Techno-Functional consulting, systems integration, Business Intelligence, information management, and custom development of IT solutions, plus project management expertise for financial institutions.

We have expertise in latest cutting edge technology to achieve better total cost of ownership. Through our qualified professionals, we assist you drive your unique risk management strategies, whether that means efficient monitoring, improving risk appetite of the financial institutions, complying with regulations, or capturing growth opportunities through innovation, this is what maximizes your decision taking potential. At Unison Consulting, we view clients as partners, and our success is only measured by the success of our partners. So we put it all on the table in order to exceed expectations.

Our staff consists of young, energetic and innovative consultants who are never afraid to challenge the conventions and push the boundaries in an effort to help our clients. For every project, no matter how large or how small, we strive to not only meet your needs, but deliver a showcase in your field.

Industry

IT & Software

Company Size

51-200 employees

Headquarters

Unknown

Year Founded

2012

Website

com.sg

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