Lead Data Scientist

Coca-Cola Europacific Partners; Jawa Barat; On-site; IDR 200.000.000 - 300.000.000; Full time

Job summary

A leading beverage company in Indonesia is seeking a Data Science Engineer to apply data science techniques and machine learning algorithms to solve business problems and improve decision-making. The ideal candidate will have over 4 years of experience in data science, be proficient in Python and SQL, and hold a relevant Bachelor's degree. This full-time role offers opportunities to develop impactful solutions in a collaborative environment.

Benefits

Opportunity to work on impactful AI/ML projects

Collaborative team environment

Qualifications

• 4+ years of experience in data science or machine learning.
• Data Science certifications such as Google Professional Data Engineer.
• Experience with data science platforms like AWS Sagemaker is a plus.

Responsibilities

• Develop models to meet business objectives and track metrics.
• Analyze ML algorithms for solving problems.
• Ensure data quality and clean data as needed.
• Deploy models to production.

Skills

Problem-solving skills

Analytical skills

Effective communication

Team collaboration

Adaptability

Education

Bachelor's degree in Computer Science or related field

Tools

Python

R

SQL

TensorFlow

PyTorch

Job description

Data Science Engineer

Job Title: Data Science Engineer

About The Role: To apply data science techniques and machine learning algorithms to solve business problems, improve decision-making, and ensure the efficient deployment of models in production.

What Will You Do:

• Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress
• Analyzing the ML algorithms that could be used to solve a given problem
• Exploring and visualizing data to gain an understanding of it
• Identifying differences in data distribution that could affect performance when deploying the model in the real world
• Verifying data quality, andor ensuring it via data cleaning
• Supervising the data acquisition process if more data is needed
• Defining the preprocessing or feature engineering to be done on a given dataset
• Training models and tuning their hyperparameters
• Analyzing the errors of the model and designing strategies to overcome them
• Deploying models to production

What we are looking for:

• Bachelor's degree in Computer Science, Data Science, Mathematics, or a related field.
• 4+ years of experience in data science, machine learning, or related fields.
• Data Science or Machine Learning certifications (e.g., Google Professional Data Engineer, Microsoft Certified: Azure Data Scientist).
• Experience with specific data science platforms (e.g., AWS Sagemaker, Google AI Platform) is a plus.

Soft Skill Requirements:

• Strong problem-solving and analytical skills.
• Effective communication skills for presenting findings to stakeholders.
• Ability to work collaboratively in a team environment.
• Adaptability and a proactive approach to problem-solving.

Technical Skill Requirements:

• Proficiency in data science tools and languages (Python, R, SQL).
• Expertise in machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Strong knowledge of data processing, feature engineering, and model validation techniques.
• Experience with cloud platforms (e.g., AWS, GCP) and deployment of models to production.

Officer Data Scientist

Menguasai Tools Data: SQL for Data Management, R or Python (Data Processing & Modelling), & Data Visualization Tools (Power BI / Tablue / BI Tools)

Information Security

Junior Data Scientist

Menguasai Tools Data: SQL for Data Management, R or Python (Data Processing & Modelling), & Data Visualization Tools (Power BI / Tablue / BI Tools)

Information Security

Machine Learning Engineer

Full-time I Hybrid (3WFO + 2WFH)

At

We are looking for a ML Engineer with strong expertise in Data Science and exposure to Generative AI to join our growing team.

Key Responsibilities:

• Design, develop, and implement machine learning and generative AI models aligned with business objectives.
• Own end-to-end ML/AI projects: from scoping, data preparation, model development, deployment, monitoring, to continuous improvement.
• Collaborate with stakeholders to translate business needs into actionable technical solutions.
• Proactively identify opportunities where AI/ML can deliver business impact.
• Ensure scalability, reliability, and cost‑efficiency in solutions using best practices in MLOps and cloud‑native architecture.
• Continuously optimize ML pipelines and workflows for performance.
• Stay ahead with the latest AI/ML advancements (esp. Generative AI) and advocate adoption within the team.
• Take ownership and demonstrate accountability across the project lifecycle.

Qualifications:

• 3–5 years of relevant experience in Data Science / Machine Learning.
• Proficiency in Python (preferred), R, or Julia.
• Proven track record in the end-to-end ML lifecycle (data preprocessing, feature engineering, model building, deployment, monitoring, optimization).
• Hands‑on with ML libraries/frameworks (TensorFlow, PyTorch, Scikit‑learn, Keras).
• Familiarity with Generative AI (LLMs, embeddings, prompt engineering, fine‑tuning, vector DBs, RAG).
• Experience with structured databases (MySQL, PostgreSQL, Snowflake) and unstructured data (Elasticsearch, MongoDB).
• Hands‑on with cloud platforms (AWS preferred, GCP/Azure a plus).
• Strong foundation in math, statistics, and problem‑solving.

Why Join Us?

• Opportunity to work on impactful AI/ML projects.
• Collaborative and innovative team environment.

Machine Learning Engineer

At Insignia, we’re looking for a Junior to Mid‑Level ML Engineer who’s excited to work on real‑world AI applications — from data pipelines to model deployment. You don’t need to be an expert yet, but you should already know the basics of machine learning, have built something with Python, and want to go deeper.

You’ll collaborate with senior engineers and data scientists to develop models that power automation, insights, and smart features. If you’re passionate about applied AI, comfortable with code, and eager to ship models that matter, this is your chance to grow fast in a hands‑on environment.

This is a hybrid role based in West Jakarta, blending focused collaboration with flexible execution.

What You’ll Do:

• Assist in designing, training, and deploying machine learning models for production use.
• Work on data preprocessing, feature engineering, and model evaluation workflows.
• Support the development of AI‑powered features, including NLP, classification, or recommendation systems.
• Collaborate with data engineers and software teams to integrate models into applications.
• Write clean, maintainable code in Python using modern ML libraries (PyTorch/TensorFlow).
• Learn and contribute across the ML lifecycle — from experimentation to monitoring.

Who You Are:

• 1–3 years of experience in ML engineering, data science, or related roles — fresh grads with strong projects / internship also welcome.
• Solid foundation in Python, machine learning concepts, and data manipulation (Pandas, NumPy).
• Hands‑on experience with scikit‑learn, PyTorch, TensorFlow, or similar frameworks.
• Familiarity with Jupyter, Git, and basic MLOps practices.
• Bonus: Experience with NLP, computer vision, or GenAI projects (e.g., RAG, LLMs).
• Eager to learn, give/receive feedback, and improve through iteration.
• Fluent in English — written and spoken.

Why Join Us?

Because great ML engineers aren’t born — they’re built through real projects, mentorship, and ownership. If you’re ready to move beyond tutorials and start shipping intelligent systems, let’s talk.

Hybrid role – West Jakarta

Senior Machine Learning Engineer

We are looking for a Senior Machine Learning Engineer (SDE 3) to play a key role in delivering high‑impact projects. This position requires strong technical expertise, ownership, and the ability to work across complex systems that blend data engineering and software development.

Key Responsibilities:

• Lead the development and implementation of key strategic projects.
• Provide technical and maintenance support for existing systems.
• Contribute to the continuous improvement of in‑house enterprise systems.

Qualifications:

• 5+ years of experience as a Software Engineer, with a strong foundation in both Data Engineering and Software Development.
• Proven expertise in big data technologies and cloud platforms (Google Cloud Platform or AWS), especially within distributed pipelines.
• Knowledge of graph databases is a strong plus.
• Solid understanding of machine learning concepts and real‑world applications.
• Strong skills in data analysis and log exploration.
• Excellent problem‑solving, troubleshooting, and a collaborative, proactive mindset.

Why Join Us?

• Take ownership of mission‑critical projects that directly impact business growth.
• Work with cutting‑edge technologies across big data, cloud, and ML systems.
• Be part of a dynamic and innovative environment that values initiative and expertise.

Sr. Machine Learning Engineer

At Insignia, we’re looking for a Machine Learning Engineer who’s built more than just models — someone who’s deployed RAG‑based solutions across different cloud environments, and knows how to make them scale without breaking.

You don’t need to be a generalist — but you should be comfortable jumping between data pipelines, vector stores, and infrastructure quirks depending on the client or project.

What You’ll Do:

• Design, build, and optimize RAG‑based architectures using tools like LangChain, LlamaIndex, and vector databases.
• Deploy and manage ML systems across AWS, GCP, Azure, or any cloud our clients choose.
• Improve retrieval quality, reduce latency, and balance cost‑efficiency at scale.
• Collaborate with data scientists, engineers, and product teams to productionize AI features.
• Write clean, maintainable code — because smart systems only work if they’re sustainable.

Who You Are:

• Strong foundation in Python, ML fundamentals, and data pipelines.
• Hands‑on experience with RAG‑based systems and tools like Hugging Face, Pinecone, Weaviate, or FAISS.
• Comfortable working across multiple cloud platforms and adapting to new infrastructures.
• Bonus: Background in data engineering, ETL pipelines, or MLOps is highly valued.
• Curious, collaborative, and excited about real‑world AI applications.

Why Join Us?

Because great AI isn’t built once — it’s maintained, optimized, and evolved. If you’re ready to build systems that learn, adapt, and keep running — let’s talk.

Data Scientist

As a Data Scientist, you value learning, data, scale, and agility. You’ll collaborate across teams, turning complex data into actionable insights by asking the right questions and delivering the answers that matter.

Responsibilities:

• Collecting, analyzing, and modeling data to support business decision making. Building machine learning models, creating dashboards, and collaborating across teams to drive data driven initiatives in a tech startup environment.

Data Scientist Qualifications:

• Minimum Bachelor’s degree in Information Technology, Computer Science, Statistics, Mathematics, or related fields
• 2+ years of experience in Data Science/Analysis (fresh graduates will be considered for junior positions)
• Understanding of data analysis, statistics, and machine learning
• Familiarity with working with big data and processing raw data into insights
• Proficient in Python/R, SQL, and familiar with Jupyter, Google Colab, or Excel
• Understanding of basic statistics, visualization, and simple machine learning models
• Experience with pandas, numpy, matplotlib, seaborn, or scikit-learn is a plus
• Able to create reports and visualizations to support decision-making