Logo of Huzzle

Home

Matches

Explore

Manage

Junior Data Scientist

image

UBS

3mo ago

  • Job
    Full-time
    Entry, Junior & Mid Level
  • Data
    Software Engineering
  • London

AI generated summary

  • You need a Master's in a quantitative field, experience in AI/NLP solutions, proficiency in ML libraries, strong programming skills, and teamwork experience for project delivery.
  • You will assess AI opportunities, support solution design and deployment, develop machine learning and NLP models, and research innovative AI technologies with business partners.

Requirements

  • Master's degree or higher in a quantitative or scientific field
  • 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)
  • 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.

What are the primary responsibilities of the Junior Data Scientist?

The Junior Data Scientist will collaborate with business teams to assess AI/data analytics opportunities, support solution architecture design, implement and deploy AI solutions, maintain and develop machine learning and NLP models, and research new AI technologies.

What qualifications are required for this role?

A Master's degree or higher in a quantitative or scientific field is required for this role.

What programming languages are preferred for this position?

Programming experience in Python, R, Scala, C/C++, Matlab, SQL/Postgres, or similar languages is preferred.

What experience is needed in terms of AI and NLP solutions?

Candidates should have experience designing and developing enterprise-scale AI and NLP solutions, including Named Entity Recognition, Document Classification, and Sentiment Analysis.

Are there any specific machine learning libraries and frameworks that candidates should be familiar with?

Yes, candidates should be familiar with common ML libraries and frameworks such as Pandas, Sklearn, TensorFlow, SparkML, and Pytorch.

Does this position involve teamwork and collaboration?

Yes, the Junior Data Scientist will work closely within a small team, and collaboration is key to achieving the team’s common goals.

Is previous experience in project-based teams required?

Yes, experience working in project-based teams and interacting with stakeholders is important for this role.

What is the location for this job?

The job is located in London.

Does UBS support diversity and inclusion in the workplace?

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

What opportunities for growth and development does UBS offer?

UBS offers new challenges, a supportive team environment, opportunities to grow, and flexible working options when possible.

Is there a commitment to disability inclusion during the recruitment process?

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

image

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.*