Graduate Data Scientist

Graduate Data Scientist - NAV01O8

Company: Worley

Primary Location: IND-MM-Navi Mumbai

Other Locations: IND-MM-Pune, IND-MM-Mumbai

Job: Digital Solutions

Schedule: Full-time

Employment Type: Employee

Job Level: Experienced

Job Posting: Jul 19, 2024

Unposting Date: Aug 18, 2024

Reporting Manager Title: Head of Data Intelligence

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Building on our past. Ready for the future

Worley is a global professional services company of energy, chemicals and resources experts headquartered in Australia. 

Right now, were bridging two worlds as we accelerate to more sustainable energy sources, while helping our customers provide the energy, chemicals and resources that society needs now.

We partner with our customers to deliver projects and create value over the life of their portfolio of assets. We solve complex problems by finding integrated data-centric solutions from the first stages of consulting and engineering to installation and commissioning, to the last stages of decommissioning and remediation. Join us and help drive innovation and sustainability in our projects.

MAJOR ACCOUNTABILITIES OF POSITION:
 Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress Utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI applications that scale from multi-user to enterprise class
 Managing Data Science project life cycle from exploratory data analysis to productization (Alpha/Beta Release) .Manage small team to collaborate with Architecture, Data Warehouse, Data Governance teams for providing analytics as service.
 Mentor team member for AI/ML development
 Verifying data quality, and/or ensuring it via data cleaning Supervising the data acquisition process if more data is needed Finding available datasets online that could be used for training Defining validation strategies Defining the preprocessing or feature engineering to be done on a given dataset.
 Defining data augmentation pipelines Training models and tuning their hyperparameters Analyzing the errors of the model and designing strategies to overcome them Deploying models to production.
 Development of the ML algorithms that could be used to solve a given problem and ranking them by their success probability.
 Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world

Knowledge / Experience / Competencies Required

IT Skills & Experience (Priority wise):

1. Proven experience as a Data Scientist AI/ML or similar role

2. Ability to write robust code in Python.

3. Experience in the Generative AI components like LLMs, LangChain, LlamaIndex, OpenAI, Mistral, Llama etc.

4. Experience in supervised/semi-supervised and unsupervised machine learning algorithms.

5. Experience using the cognitive APIs machine learning studios on cloud.

6. Up to speed on NLP (Summarization, Translation models, Named Entity Recognition)

7. Hands-on knowledge of image processing with deep learning (CNN, RNN, LSTM, GAN)

8. Understanding of complete AI/ML project life cycle.

9. Understanding of data structures, data modelling and software architecture.

People Skills:
 Ability to communicate clearly and concisely and a flexible mindset to handle a quickly changing culture
 Ability to work independently and/or as part of cross-domain big team
 Professional and open communication to all internal and external interfaces.
 Accurately report to management in a timely and effective manner.

Other Skills:
 Outstanding analytical and problem-solving skills
 Taking ownership of the tasks in hand and being accountable for deliverables.

Education  Qualifications, Accreditation, Training:

 Minimum 47 years experience as a Data Scientist on AI and ML projects.
 Masters in information technology / Big Data/Data Science/AI/Computer Science or related field

Moving forward together


We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation.

And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology.

Whatever your ambition, theres a path for you here. And theres no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change.,