Conversational Banking Data Scientist

Job description

Conversational Banking Data Scientist, Digital Solutions

Some careers shine brighter than others.

If you're looking for a career that will give you plenty of opportunities to develop, join HSBC and your future will be rich with potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.

The most exciting digital revolution in HSBC's history is happening right now. The global digital solutions we are creating will influence the banking behaviour of over 37 million customers worldwide. Such an exciting journey comes with a truly unique career opportunity: working alongside a growing team of experts from world-leading technology companies to embed digital into the heart of the bank.

Our Digital teams are an integrated global group of over 3500 technologists and commercial thinkers, working across our offices in the UK, India, China, Hong Kong, the US, Canada, Poland and Mexico.

Our work includes developing new mobile apps and online experiences; using digital messaging to build the relationship with our customers; building and improving the underlying technology and security platforms; and innovating our propositions to take advantage of new innovation.

As an HSBC employee in the UK, you will have access to tailored professional development opportunities and a competitive pay and benefits package. This includes private healthcare for all UK-based employees, enhanced maternity and adoption pay and support when you return to work, and a contributory pension scheme with a generous employer contribution.

We are currently seeking an experienced individual to join this team in the role of Conversational Banking Data Scientist.

Here at HSBC, we are building a world class chatbot framework, using open source technologies that will enable our customers to interact with us in a conversational manner. This framework is language, use case and infrastructure environment agnostic, enabling different regional markets to easily create and deploy a bespoke chatbot to fit their needs. We are a small and independent team, having the freedom to decide our approach, tools and technologies.

Your responsibilities will include:


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Steer the data science and analytics lifecycle for the AI elements of the chatbot:

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Source and understand the available data that can be used for both extracting insights but also to train the machine learning models used by the chatbot

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Design and develop the ETL pipelines needed to get the above data in the correct format and locations

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Drive the decision making in all analytics/AI tasks for both the first deployment but also the day-to-day operations (including visualisations and reporting, data tagging, and maintaining/improving the model's accuracy during deployments)

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Build the dialogue and natural language understanding engine using the most cutting-edge technologies.

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Participate in a cross-functional and geographically dispersed team

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Work closely with full stack developers and solution architects.

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Work in an Agile Environment

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Convincingly communicate and promote the chatbot technologies and capabilities with stakeholders at all levels.

Desired profile

Qualifications :

To be successful in this role you should meet the following requirements:

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Expertise working with NLP technologies

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Masters or PhD in Statistics, Mathematics, Comp Sci or equivalent experience

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Demonstrable hands-on experience in the field of Machine Learning, Deep Learning, NLP and Data Science using Python

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Comfortable working with Git, AWS, TensorFlow, Spacy, Pandas and ScikitLearn

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Strong understanding of the fundamentals of Computer Science

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Ability to explain and present your work and ideas to non-technical stakeholders

In addition the below expertise is desirable;

·  Subject matter expertise on chatbot frameworks.
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Experience working with either RASA, Dialogueflow, Watson, Wit.ai and/or other major NPL providers

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Experience working in regulated and structured job environments and/or a start-up

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Front-end development skills

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Devops skills

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NoSQL databases

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Big-data and ETL technologies (Spark, Scala, Hadoop, Glue, Athena)

You'll achieve more when you join HSBC.



At HSBC we look to enable our employees to better balance their work / life priorities and have the flexibility required to meet challenging needs as they progress through different life stages. Where possible we will consider the following flexible working options: part-time working, job sharing, term-time working, and working from home and staggered hours. If in considering a role with HSBC you have a need for some flexibility in your working arrangements please discuss this with the recruitment team in the early stages of the application process.

HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment.
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