Data Scientist Iii - India - RELX

RELX

Verified Company

India

3 weeks ago

Posted by:

Deepika Kaur

beBee Recuiter

Description

Data Scientist III

Are you interested in working with data and analytics to solve problems?

Are you interested in bringing your Machine Learning and NLP expertise to projects?

About our Team

About the Role

You will be responsible for building, testing, and maintaining our NLP solutions.

You will work throughout the whole life cycle of data science projects:
design, implementation, productionisation and beyond. You will deliver efficient and production-ready Python code. You will collaborate with the technology team to deploy and productionize our data science pipelines.

Responsibilities:

Data collection, data analysis, model development, defining quality metrics, quality assessment of models and regular presentations to stakeholders.
Creating productionready Python packages for each component of data science pipelines (such as preprocessing and model inference) and their deployment together with the technology team
Integration of data science components and endtoend quality assessment.
Keeping our data science pipelines robust against model drift and ensuring continuous output quality; development of needed tools and strategies for maintenance such as automatic model retraining.
Establishing the reporting process of the performance of the pipeline, and automatic retraining strategy for the existing pipelines

Requirements:

At least 3 years of relevant applied experience and Msc/MTech in the field of computer science, data science, artificial intelligence, mathematics, statistics, bioinformatics or other quantitative fields or at least 4 years of relevant experience. International working/education experience is a plus
Strong handson knowledge of Python, able to write unit tests and production ready code adhering to best practices and objectoriented programming principles.
Data processing, cleaning, and analysis skills: experience with Pandas, NumPy, Matplotlib, SciPy
Handson machine learning experience on classification, regression, clustering, and text Mining. You have a good understanding of Neural Networks, Random Forests, Logistic Regression, SVM, K-Means etc., and are a confident user of Scikitlearn, PyTorch and/or Tensorflow.
Very good communication and presentation skills, in particular proven ability to convey data science concepts effectively to nontechnical audiences.
Willingness to learn, analytical thinking, problem solving skills; ability to translate complex requirements into practical solutions.
Experience with Git, basic DevOps and CI/CD skills, cloud computing (AWS, Azure).
Interest and willingness to gain experience in MLOps and data science productionization.
Nice to Have
Is a plus: Experience with SOTA deep learning approaches in the NLP domain such as LLMs and finetuning for specific use cases such as named entity recognition and relation extraction.
Is a plus: Experience in later stages of data science life cycle such as optimizing productionisation (techniques such as parallelization, multithreading etc.) and automated model retraining.
Is a plus: MLOps frameworks (SageMaker, Kubeflow, MLFlow) and/or big data processing frameworks (Spark, Hadoop, Databricks).
Is a plus: Software engineering skills: additional programming languages such as Java, SQL and relational databases, semistructured and unstructured document formats such as JSON and XML, REST interfaces and microservices, UML.

Work in a way that works for you

We promote a healthy work/life balance across the organisation.

With an average length of service of 9 years, we are confident that we offer an appealing working prospect for our people.

With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

Working flexible hours flexing the times when you work in the day to help you fit everything in and work when you are the most productive

Working with us

We are an equal opportunity employer with a commitment to help you succeed. Here, you will find an inclusive, agile, collaborative, innovative and fun environment, where everyone has a part to play.

Regardless of the team you join, we promote a diverse environment with co-workers who are passionate about what they do, and how they do it.

Working for you

At Elsevier, we know that your wellbeing and happiness are key to a long and successful career.

These are some of the benefits we are delighted to offer:

Group Health Insurance Policy (covering self and family)
Group Life insurance/accident policy
Generous longservice awards
New Baby gift
Subsidised food provided (applies to India
Chennai)
Casual Leave, Sick Leave, Privilege Leave, Compassionate Leave, Special Sick Leave, Gazetted Public Holiday and Maternity/Paternity Leave
Free Transport provided to and from the office (applies to India-Chennai)

About Us

A global leader in information and analytics, we help researchers a