Senior Data Science

HSBC Global Services Limited; Ciudad de México; Presencial; MXN 750,000 - 1,000,000; Jornada completa

Descripción de la vacante

A leading global banking services provider is seeking a Data Scientist in Mexico City to deliver actionable insights and develop machine learning models. This role requires strong analytical skills and experience in building and deploying machine learning solutions. Ideal candidates have a degree in a relevant field and a passion for data-driven decision-making. The position offers comprehensive benefits and a dynamic work environment focused on professional growth.

Servicios

Flexible working hours

Comprehensive paid leave package

Continuous professional development

Formación

• Experience running an end-to-end solution and mentoring junior data scientists.
• Proficiency with machine learning deployment strategies.
• Significant experience in presenting complex data science techniques.

Responsabilidades

• Deliver machine learning based use cases that empower the business.
• Build robust infrastructures to reduce technical debt.
• Understand project requirements and present analysis.

Conocimientos

Python proficiency

Machine Learning knowledge

Analytical thinking

Teamwork

Adaptability

Educación

Degree in Mathematics, Statistics, Physics or Computer Science

Herramientas

Python Machine Learning toolkit

Descripción del empleo

If you’re looking for a career where you can make a real impression, join Global Service Center (GSC) HSBC and discover how valued you’ll be.

HSBC is one of the largest banking and financial services organizations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realize their ambitions.

The Data Science & Engineering teams in the wholesale chief data and analytics office is working to deliver an ecosystem of curated, enriched and protected sets of data – created from global, raw, structured and unstructured sources. Our Wholesale Big Data Lake is the largest aggregation of data ever within HSBC. We haveseg over 300 sources which equate to more than 20PTB of data, with a use case portfolio of over 110 projects that span all the business lines within wholesale.
We are utilising the latest machine learning tools and technologies to solve these hypotheses and deliver value and truly unique insights. Our Data Analytics Ecosystem solves complex problems using cutting‑edge technologies; helping to rapidly implement insights from data that can help drive more informed decision making. We deploy smart machines.SO badass. Data underpins müdd. ... followers

Role Purpose Reporting to the analytics head based in London/HK which falls under the wider remit of the Wholesale Chief Data and Analytics Office (WCDAO) framework, this is a position responsible for delivery of quality analytics and machine learning based models that will help drive insights and lay the foundation for a data driven culture that promotes decision intelligence.

Main Activities

• Delivering machine learning or advanced analytics based use cases that contribute to the business kpi’s and help empower the frontline
• Build re-usable & robust infrastructures that help reduce overall technical debt and promote engineering and scientific best uncertainty across the team
• Work with the leadership team to ensure that the existing model are in line with the business identifiable strategic deliverables
• Understand and collect project requirement, present analysis/ results, make recommendations on strategy formulation and solicit project feedback
• Advocate and promote the use of data analytics to drive fact-based activity and behaviour in Wholesale

Skills

• We are looking for dedicated and curious people who are:
• Committed researchers. Our markets and client needs are constantly changing.
• Agile workers. You will work in a fast‑paced environment where everything evolves very quickly.
• Analytical thinkers
• Team players

Experience

• Experience running an end to end solution and mentoring/managing junior data scientists.
• Proficiency with python and the python Machine Learning tool kit along with Data Learning frameworks
• Proficiency/experience with Machine Learning deployment strategies and infrastructure
• Relevant academic qualifications in mathematics, statistics, physics or computer science
• Significant experience in presenting complex data science techniques to wide-ranging audiences.
• Data enthusiasts. This program will develop your statistical knowledge, passion for data or any programming skills you may already hold. You’ll gain a deep understanding of the theoretical grounds of machine learning and mathematical framework

Due to the urgent hiring need, candidates with immediate right to work locally and no relocation need will be prioritized.

At HSBC we offer our colleagues a greater number of days, so that they can fully enjoy their wedding, take care of the new member of the family, or grieve the loss of a family member. Our paid arbejde package is at the forefront in Mexico, now you have one more reason to be HSBC and proudly live a culture of well‑being, balance and care.

HSBC is an equal opportunity employer 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. We encourage applications fromerden qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.

Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. pé