Role
Data Scientist

Location
Hong Kong


Business Background
Who are LRQA?
LRQA stands for dedication to clients, market firsts, and deep expertise in risk management. We’ve grown to become a leading global assurance provider, bringing together outstanding expertise in certification, customized assurance, cybersecurity, inspection and training.
While we’re proud of our heritage, it’s who we are today that really matters, because that’s what shapes who we and our clients can become tomorrow. By staying true to our shared values and combining decades of collective experience, we support our clients in building a safer and more sustainable future.


What do we do?
We help our clients negotiate a rapidly changing world, by working with them to manage and mitigate the risks they face. We serve a wide variety of industries, with a core focus on Food & Beverage, Consumer Goods, Transportation & Mobility, Technology & Telco, Construction & Manufacturing, Energy and Renewables and Chemical & Processing.
Our products and services range from independent third-party auditing to certification and training; we also offer consultancy services, real- time assurance technology and data-driven supply chain transformation programs. our innovative end-to- end solutions help our clients shape their own future, rather than letting it shape them.
LRQA currently operates across 51 countries, has more than 2,500 colleagues, generates around £350m in revenue, and supports more than 60,000 clients across a diverse range of sectors and markets.

Responsibilities

• Analyze structured and unstructured data and visualize findings to support the discovery of unique/actionable ESG insights

• Research and test machine-learning and theoretical data models related to major risk areas in key industries, supply chains, markets and geographies

• Develop machine learning / AI pipeline that is applicable to supply chain ESG sector

• Contribute to the ideation, design and evolution of existing and new analytical ESG products or services leveraging access to internal or external data

• Lead project delivery and account management, and demonstrate leadership skills

• Contribute to company data-driven culture by supporting business strategies with data and communicating results to business units

• Work closely with other team leaders across consulting and assessment businesses to achieve end-to-end data driven solutions

• Deliver outputs and presentations to clients

Qualification

• BSc degree in Computer Science, Business and Economics, Statistics or Engineering

• 2+ years of work experience in a relevant discipline

• Strong skills in Python

• Excellent understanding and experience of statistical models and machine learning algorithms such as Forecasting, Classification, Clustering, and Optimization algorithms.

• Strong understanding of statistic al concepts e.g. sampling, power calculation, causality

• Strong knowledge of GCP or AWS platforms

• Critical thinker, proactive and positive attitude, team player and solutions driven.

• Excellent written, verbal, and cross communication skills (English)

• Exceptional attention to detail and a passion for quality

• Ability to monitor, analyze, and manage data to meet client expectations and goals

• Interest in sustainability and working on impactful data-driven solutions

• Previous experience in supply chain / sustainability / social compliance preferred

• Ability to work in a time critical environment and to meet deadlines.

Diversity and Inclusion at LRQA:
We are on a mission to be the place where we all want to work and we are passionate about embracing different perspectives because we understand the value this brings to our business, our clients and each other. We are all about creating a safer and more sustainable future and our inclusive culture is right at the heart of our business.

Together our employees make our communities better and we want you to be part of our diverse team!

LRQA is a leading global assurance provider. The integrity and expertise we bring to our partnership with clients support their journey to a safer, more secure and more sustainable future.