Data Science & Machine Learning Lead

Responsibilities

• Lead data exploration, data quality assessment, data patterns and identification of data gaps; coordinate with data engineering to enable reliable datasets.
• Drive the complete ML lifecycle from data exploration and feature engineering to model development and validation.
• Design and develop feature engineering pipelines and select appropriate ML approaches (baseline → advanced).
• Analyze the customer data for correctness, quality checks, building context and co-relation.
• Asist in building, training, optimizing, and testing models using AVEVA products, Python or another analytics tool.
• Part of Cloud practice under global services, to play key role of data scientist, who will work with customer and internal team.
• Develop classification, regression, clustering, and forecasting models using appropriate algorithms and tuning techniques.
• Select appropriate algorithms based on problem context.
• Establish robust evaluation: validation strategy, metrics, error analysis, bias checks, and model explainability
• Identify new AI opportunities, contribute to roadmap planning, and promote data-driven decision-making.

Requirements

• 8-12+ years in Data Science / Machine Learning.
• Strong expertise in Python.
• Experience with deep learning frameworks preferred.
• Strong foundation in statistics, probability, and mathematics.
• Strong understanding of analyzing customer data,
• Exposure to cloud platforms (AWS, Azure, GCP) is desirable.
• Ability to interpret complex data and communicate insights clearly.
• Experience with supervised learning (classification/regression) and unsupervised learning (clustering).
• Time series/NLP/deep learning (as relevant to role)
• Experience with tools like Data Bricks or similar is desirable.
• Experience in industry like Oil & Gas, Utilities, Water, Data Center or CPG.
• Experience in developing forecasting, prediction, prescription or anomaly detection models for above industries.
• Strong communication: translate security risk into engineering actions and business impact.
• Ability to drive adoption without "blocking" delivery-pragmatic and risk-based.
• Leadership, mentoring, and cross-functional influence.
• Services at AVEVA
• Find out more: https://www.aveva.com/en/about/careers/
• India Benefits include:
• Gratuity, Medical and accidental insurance, very attractive leave entitlement, emergency leave days, childcare support, maternity, paternity and adoption leaves, education assistance program, home office set up support (for hybrid roles), well-being support
• It's possible we're hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive.
• Find out more: aveva.com/en/about/careers/benefits/
• Hybrid working
• By default, employees are expected to be in their local AVEVA office three days a week, but some positions are fully office-based. Roles supporting particular customers or markets are sometimes remote.
• Hiring process
• Interested? Great! Get started by submitting your cover letter and CV through our application portal. AVEVA is committed to recruiting and retaining people with disabilities. Please let us know in advance if you need reasonable support during your application process.
• Find out more: aveva.com/en/about/careers/hiring-process
• About AVEVA
• AVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life - such as energy, infrastructure,

Benefits

Additional Information

AVEVA is creating software trusted by over 90% of leading industrial companies. Job Title: Data Science & Machine Learning Lead Location: Hyderabad, India Employment Type: Full-time, hybrid work arrangement The job We are seeking a Lead Data Scientist to drive end-to-end model development initiatives. This role will be responsible for translating business problems into scalable machine learning solutions, leading model design and validation, and ensuring measurable business impact through data-driven insights. The ideal candidate combines strong statistical and machine learning expertise with hands-on Python experience and leadership capability. Candidate will analyze the customer data for correctness, quality checks, building context and co-relation. He will assist and build reusable ML use case templates for cloud practice under Global Services, analyse customer data to use for the templatized use cases.

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