Data Science & Machine Learning Lead

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.

Key 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.

Desired Skills

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

Our dynamic global team of 700+ engineers, developers, consultants, solution architects and project managers are at the forefront of delivering AVEVA cutting-edge solutions to customers. The work is complex and technical, but immensely rewarding: we empower customers to harness the full transformative potential of AVEVA's solutions. If you're analytical, pragmatic, and driven to make a tangible impact on the sustainability of the industrial sector, our team is the perfect place for you.

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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.

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Hybrid working

By default, employees are expected to be in their local AVEVA office three days a…