Lead Analytics Engineer SME for APM

Lead Analytics Engineer SME for APM

full-time position | Belgrade (Serbia)

We are a rapidly growing international software company headquartered in Pullach (Munich), Germany. We provide advanced, specialized, valuable solutions and support to customer organizations worldwide to transform data into real-world intelligence for critically important business and technical decisions. We specialize in Enterprise Asset Management (EAM), Asset Performance Management (APM), Protection & IED, Network Model Management (NMM), Outage System Management (OMS) software, and analytics.

IPS®SYSTEMS offers outstanding and innovative solutions for the Global Energy Industry and other sectors. We work with many other companies and corporations, such as Megger, CGI, Atos, Accenture, Wipro, etc.

Do you want to contribute to the digital future? The IPS Global Group is looking for a Lead Analytics Engineer SME for APM (Asset Performance Management) to join our team and support delivery of advanced analytics, asset health, predictive modeling, and AI/ML solutions for the energy industry.

Your Responsibilities

Integration, Engineering, Analytics and AI/ML

• Analyze project requirements, support scope definition, and deliver analytics solutions within agreed project timelines
• Design, configure, and optimize mathematical formulas, algorithms, and analytical models for Asset Health, Health Index prediction, Condition Diagnostics, and Fault/Failure Prediction
• Train, validate, and deploy AI/ML models tailored to customer-specific asset datasets and operational environments
• Map source datasets and raw attributes to analytics input variables, optimizing asset health calculation engines and analytical algorithms

APM Implementation, Dashboards & Reporting

• Perform hands-on configuration and implementation of APM solutions, including Health Index analysis, customer-specific analytics, dashboards, and complex analytical reports
• Calculate and configure trend analysis, Probability of Failure (PoF) curves, risk models, and asset health models
• Understand the main asset groups, maintenance procedures, inspection templates, and Reliability Centered Maintenance (RCM), failure modes analysis, and risk/criticality scoring
• Perform deep-dive analysis of historical and real-time asset data to identify KPIs, trends, patterns, and operational anomalies
• Analyze data from multiple sources relevant to APM, including historians, condition monitoring systems, test results, inspections, and equipment measurements such as DGA and dielectric test data

Product Development and Collaboration

• Collaborate with Integration Engineers, Application Engineers, Project Managers, and Product Managers to ensure successful project delivery
• Work closely with core Software Development teams to translate analytical requirements into product features and roadmap improvements
• Contribute to the continuous improvement of APM analytics, models, algorithms, and product capabilities

Client Engagement and Stakeholder Management

• Engage directly with utility customers and end-users to discover business and analytical requirements and translate them into analytics specifications
• Present technical solutions, model results, and validate analytical model results

Your energy

• Degree in Computer Science, Mathematics, Electrical Engineering, or equivalent technical degree
• Proven experience in data analytics, data science, analytics engineering, mathematical modeling, or a similar technical role
• Strong programming and data analysis skills in Python and SQL/T-SQL, and C#
• Hands-on experience with AI/ML model development, validation, and deployment
• Hands-on experience with Power BI, MATLAB, or similar analytics and reporting tools
• Strong understanding of statistical analysis, predictive modeling, algorithms, and data-driven decision-making
• Experience working with large, complex, and heterogeneous datasets, including historical and real-time operational data
• Strong analytical and problem-solving skills, with the ability to translate complex data into practical business and engineering insights
• Strong communication and stakeholder management skills, with the ability to explain complex analytical concepts to both technical and non-technical audiences
• Experience working in Agile and/or Waterfall project environments is an advantage

Nice to have

• Knowledge of power utility assets and TSO/DSO operations is highly desirable but not mandatory

What we offer

• An interesting and varied position in a world-leading, internationally active company where you will have the opportunity to be involved in projects worldwide
• The chance to work with cutting-edge technologies, including Machine Learning (ML) and Artificial Intelligence (AI), shaping the future of the industry
• Hybrid work model with 3 days in the office and 2 days working from home, allowing you to maintain a healthy work-life balance
• Flexible arrival time between 8 AM and 9 AM, letting you start your day at your convenience
• Join a stable company in a thriving industry, offering long-term career security and low employee turnover – a rarity in today’s market
• Comprehensive private healthcare provided after just 6 months of probation
• Gym membership subsidy at a fitness center conveniently located across from the office, along with an in-house small activity room for personal workouts. Plus, enjoy scheduled basketball sessions for some fun and team-building outside of work, promoting your health and well-being
• Culture of trust, teamwork, empowerment, and constructive feedback
• Possibility for further career advancement in a successful growing company
• Your development – our commitment: career opportunities based on each profile and supporting each employee to achieve their professional and career goals