PDG Consulting
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Data Scientist
role at
PDG Consulting .
Fincons Group is looking for an experienced AI / Machine Learning Engineer to support data-driven initiatives across complex business and operational environments. This role focuses on identifying high-impact AI/ML use cases, developing and deploying machine learning solutions, and working closely with cross‑functional stakeholders to turn data into actionable insights. The ideal candidate brings a strong technical foundation, a problem‑solving mindset, and the ability to communicate effectively with both technical and non‑technical teams.
Responsibilities
Identify AI/ML Opportunities: Partner with cross‑functional business and technical teams to identify and define AI and machine learning use cases that improve efficiency, performance, and decision‑making. Help shape project scope, objectives, and success metrics.
End‑to‑End ML Delivery: Own machine learning projects throughout their lifecycle, including data collection, preprocessing, model development, deployment, and ongoing monitoring in production environments.
Programming & Data Engineering: Develop clean, maintainable code (primarily in Python) to build data pipelines, implement ML models, and automate analytical workflows. Use SQL for data extraction and transformation.
Data Analysis & Modeling: Analyze large, complex datasets from operational systems (e.g., ERP, MES, IoT, or similar sources) to identify trends, engineer features, and build predictive or prescriptive models.
Stakeholder Communication: Translate technical findings into clear, actionable insights for non‑technical stakeholders to support data‑driven decisions.
Qualifications & Experience
Experience: 3+ years of hands‑on experience in AI, Machine Learning, or Data Science. Experience in industrial, manufacturing, or operational environments is a plus.
Technical Skills:
Strong proficiency in Python and common ML libraries (e.g., scikit‑learn, TensorFlow, PyTorch)
Solid SQL skills for querying and data manipulation
Experience with data visualization tools (e.g., Power BI, Tableau, or similar)
Basic understanding of MLOps concepts, including model deployment and monitoring
Problem‑Solving: Demonstrated ability to break down complex problems and deliver practical, data‑driven solutions.
Communication & Collaboration: Strong communication skills with the ability to work effectively across technical and non‑technical teams.
Nice to Have
Experience with cloud platforms such as AWS, Azure, or GCP
Exposure to time‑series analysis, anomaly detection, optimization techniques, or similar advanced analytics
Familiarity with operational or manufacturing data and processes (e.g., quality, maintenance, supply chain)
Job Details
Seniority level : Mid‑Senior level
Employment type : Full‑time
Job function : Engineering and Information Technology
Industries : Software Development
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Data Scientist
role at
PDG Consulting .
Fincons Group is looking for an experienced AI / Machine Learning Engineer to support data-driven initiatives across complex business and operational environments. This role focuses on identifying high-impact AI/ML use cases, developing and deploying machine learning solutions, and working closely with cross‑functional stakeholders to turn data into actionable insights. The ideal candidate brings a strong technical foundation, a problem‑solving mindset, and the ability to communicate effectively with both technical and non‑technical teams.
Responsibilities
Identify AI/ML Opportunities: Partner with cross‑functional business and technical teams to identify and define AI and machine learning use cases that improve efficiency, performance, and decision‑making. Help shape project scope, objectives, and success metrics.
End‑to‑End ML Delivery: Own machine learning projects throughout their lifecycle, including data collection, preprocessing, model development, deployment, and ongoing monitoring in production environments.
Programming & Data Engineering: Develop clean, maintainable code (primarily in Python) to build data pipelines, implement ML models, and automate analytical workflows. Use SQL for data extraction and transformation.
Data Analysis & Modeling: Analyze large, complex datasets from operational systems (e.g., ERP, MES, IoT, or similar sources) to identify trends, engineer features, and build predictive or prescriptive models.
Stakeholder Communication: Translate technical findings into clear, actionable insights for non‑technical stakeholders to support data‑driven decisions.
Qualifications & Experience
Experience: 3+ years of hands‑on experience in AI, Machine Learning, or Data Science. Experience in industrial, manufacturing, or operational environments is a plus.
Technical Skills:
Strong proficiency in Python and common ML libraries (e.g., scikit‑learn, TensorFlow, PyTorch)
Solid SQL skills for querying and data manipulation
Experience with data visualization tools (e.g., Power BI, Tableau, or similar)
Basic understanding of MLOps concepts, including model deployment and monitoring
Problem‑Solving: Demonstrated ability to break down complex problems and deliver practical, data‑driven solutions.
Communication & Collaboration: Strong communication skills with the ability to work effectively across technical and non‑technical teams.
Nice to Have
Experience with cloud platforms such as AWS, Azure, or GCP
Exposure to time‑series analysis, anomaly detection, optimization techniques, or similar advanced analytics
Familiarity with operational or manufacturing data and processes (e.g., quality, maintenance, supply chain)
Job Details
Seniority level : Mid‑Senior level
Employment type : Full‑time
Job function : Engineering and Information Technology
Industries : Software Development
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