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Junior Data Scientist

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UBS

1mo ago

  • Job
    Full-time
    Junior Level
  • Data
    IT & Cybersecurity
  • London

AI generated summary

  • You should have a Master's in a quantitative field, 2+ years programming experience, expertise in AI/NLP solutions, and skills in ML libraries. Familiarity with Agentic AI is a plus.
  • You will collaborate with stakeholders to design and implement AI solutions, develop machine learning models, and research innovative technologies to enhance client value.

Requirements

  • Master's degree or higher in a quantitative / scientific field or equivalent work experience
  • Experience in designing and developing enterprise-scale AI and NLP solutions in the areas of Named Entity Recognition, Document Classification, Document Summarization, Topic Modeling, Sentiment Analysis, and OCR text processing.
  • Experience building ML & NLP solutions using common ML libraries and frameworks, including Pandas, Sklearn, TensorFlow, SparkML, Pytorch, etc.
  • Skilled in end-to-end development of ML/NLP models (supervised & unsupervised), including data cleaning, pipeline creation for structured/unstructured data, feature engineering, model selection/ensembles, evaluation metrics, visualization, and advanced statistical modeling (regression, spatial, time series).
  • Ideally 2+ years of programming experience in one or more of the following: Python, R, Scala, C/C++, Matlab, SQL/Postgres, etc. Knowledge of CI/CD pipelines, Git, and GitHub/GitLab.
  • Familiarity with Agentic AI frameworks such as LangGraph, AutoGen, etc is a plus
  • Experience working in project-based teams, collaborating with colleagues, interacting with stakeholders, working to deadlines, and delivering projects that solve specific business problems.

Responsibilities

  • Collaborate with the business to assess opportunities for AI/data analytics technologies and maximize their value/impact for our clients.
  • Support the design of AI/data analytics solution architecture and work with stakeholders to develop implementation roadmaps.
  • Support AI/data analytics solution implementation and deployment.
  • Develop, maintain, and deploy LLM, machine learning, and natural language processing pipelines and models with high performance, quality, and stability.
  • Partner with the business to integrate AI and machine learning solutions across various strategic platforms. Models may span across a variety of domains, including but not limited to: LLM-based agentic AI architectures, natural language processing (e.g., document classification, named entity recognition, topic modeling, advanced and semantic information search, extraction), data analytics (predictive modeling, time-series analytics, pattern recognition, recommendation engines), computer vision (OCR), and voice recognition (speech-to-text).
  • Research and build POCs for new and innovative AI solutions and technologies.

FAQs

What is the job title for this position?

The job title for this position is Junior Data Scientist.

Where is this position located?

This position is located in London.

What type of employment is being offered?

This is a full-time employment position.

What kind of team will I be working with?

You will be working within the IB AI Center of Excellence team, which focuses on building AI products across the Investment Bank.

What is the main focus of the Junior Data Scientist role?

The main focus of the Junior Data Scientist role is to collaborate with data science and business teams to build models, perform exploratory analysis, and develop AI and data analytics solutions.

What qualifications are required for this position?

A Master's degree or higher in a quantitative/scientific field or equivalent work experience is required.

What experience should I have with AI and NLP solutions?

Ideal candidates should have experience in designing and developing enterprise-scale AI and NLP solutions, particularly in areas such as Named Entity Recognition, Document Classification, Document Summarization, Topic Modeling, Sentiment Analysis, and OCR text processing.

What programming languages should I be familiar with?

Candidates should ideally have 2+ years of programming experience in Python, R, Scala, C/C++, Matlab, SQL/Postgres, and be familiar with CI/CD pipelines, Git, and GitHub/GitLab.

Will there be opportunities for growth in this role?

Yes, UBS is committed to providing opportunities for growth and support in career development.

Is there a focus on diversity and inclusion within UBS?

Yes, UBS is committed to fostering diversity, equity, and inclusion as it believes it strengthens the business and brings value to clients.

What kind of projects will I be working on?

You will be working on projects that involve building AI solutions to help colleagues work more efficiently, reduce risks, and generate revenue while providing timely and personalized content for clients.

Is training provided for new tools and technologies?

Yes, the role involves researching and trialing new methods, and training on innovative AI solutions and technologies can be expected.

How does UBS value collaboration within teams?

Collaboration is at the heart of UBS's operations, as the company believes that great work is achieved when teams work together.

Will I need to interact with stakeholders?

Yes, you will collaborate with stakeholders to assess AI/data analytics opportunities and develop implementation roadmaps.

Does UBS provide accommodations for disabilities during the recruitment process?

Yes, UBS is committed to disability inclusion and provides reasonable accommodations/adjustments throughout the recruitment process.

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UBS

Helping you answer some of life's most important questions

Finance
Industry
10,001+
Employees
1862
Founded Year

Mission & Purpose

From gaining new experiences in different roles to acquiring fresh knowledge and skills – at UBS we believe that you should never stop growing and learning because life never stops teaching. We know that it's our people – with their unique backgrounds, skills, experience levels and interests – who drive our ongoing success. Ready to be part of #teamUBS and make an impact? Find out more at ubs.com/careers. UBS works with individuals, families, institutions, and corporations around the world to help answer some of life's questions – whether through award winning wealth management advisory, investment banking and asset management expertise, or private and corporate banking services in Switzerland*. In June 2023, Credit Suisse became a UBS Group company. With more than 124,000 colleagues around the world**, we collaborate across all major financial centers in 50 countries**. Although we all come from different backgrounds and specializations, two things unite us: the conviction that we’re stronger together, and the will and curiosity to constantly innovate. That’s the key to us unlocking our full potential (and what we look for in everyone who joins us). It’s also why we’re regularly recognized as an attractive employer.*