Data Scientist - Noida, India - British Council

British Council

Verified Company

Noida, India

3 weeks ago

Posted by:

Deepika Kaur

beBee Recuiter

Description

Data Scientist

Date:18-May-2023

Location:
Noida, South Asia, IN

Company:
British Council

We support peace and prosperity by building connections, understanding and trust between people in the UK and countries worldwide.

We work directly with individuals to help them gain the skills, confidence and connections to transform their lives and shape a better world in partnership with the UK.

We support them to build networks and explore creative ideas, to learn English, to get a high-quality education and to gain internationally recognised qualifications.

Working with people in over 200 countries and territories, we are on the ground in more than 100 countries. In we reached 650 million people.

Job Title:
Data Scientist

Purpose of job:

Data Scientist will be a part of the Data Science & Analytics team and will perform the essential functions of delivering Data Science projects for the organisation.

The role will define business problems that Data Science can help solve and should be able to independently create an analytical solution to these problems and embed solutions into business operations.

Role specific skills:

Good hands on experience in providing Analytics insights using Machine Learning algorithms (regression, time series, clustering, text analytics, predictive modelling and others)
Can work independently in the analytics project lifecycle
Understand requirement, Model using R / Python, Provide Insights and work with stakeholders to help them use those insights
Ability to visualize different views of data and derive descriptive analysis from different data sources and Hands on experience with any of the visualization tools (Power Bi, Tableau, QlickView)
Exposure / experience with deep learning algorithms will be an added advantage
Good to have exposure to google analytics, SEO, Social Media Marketing, Campaign Analytics.
Understand the nature, structure & quality of data, identify data issues and suggest solutions by testing hypotheses and statistical validation of results.
Sourcing data (structured and unstructured) from various internal and external systems, cleansing and preparing for reporting and analysis
Exposure to Azure synapse or Azure Machine learning services, connecting data lakes and deploying models over cloud

Knowledge of:

Essential

2+ Years of experience with depth and breadth of ML Algorithms and Tools

Programming skills

R / Python with Machine Learning / Statistical modelling
Demonstrated experience in coming up solutions to loosely

- defined business problems by leveraging structured and unstructured data sets

Proficiency in Machine Learning, Regression / Time Series, Classification / Text Analytics models, multivariate testing, and optimization of algorithms

Desirable

3+ Years of experience with depth and breadth of Analytics Algorithms and Tools

Programming skills

R / Python with Machine Learning / Statistical modelling
Demonstrated experience in coming up solutions to loosely

defined business problems by leveraging structured and unstructured data sets

Proficiency in Machine Learning, Regression / Time Series, Classification / Text Analytics models, multivariate testing, and optimization of algorithms

Experience in using Azure Machine Learning and Synapse Analytics
Azure Data Scientist Certification
Exposure of AI, Deep Learning
Exposure to Web Analytics

Accountabilities, responsibilities and main duties:

(including people management and finance)

Consultancy, Technical & problem-solving

Data engineering and manipulation. Able to select and use the most appropriate tools and techniques to manipulate and transform the data for data science products. Can collaborate with data engineers.
Programming and build (data science). Use programming tools to undertake analysis and create scalable data products. Identify and reuse common approaches and code. Document and test code to ensure its quality
Understanding product delivery. Use different product delivery methods (such as Agile) and phases to make decisions. Work collaboratively with other professionals. Use knowledge of product management to deploy data science products into the organisation. Demonstrate data science is used effectively to support products and services.

Internal customer focus

Builds an indepth understanding of the specific operational context, opportunities and challenges and ensure that the advice and support rendered is based on supported evidence.
Proactively seeks internal customer and other stakeholder feedback to monitor satisfaction with the standard of functional advice and business support provided, enabling improvements to be made where issues are identified
Ensure ontime & error free delivery, proactively escalate issues when required
Able to communicate with all the internal and external stakeholders, able to articulate the solution, status updates, technical findings, make