Join ANNA Money as a Data Science Intern

We're on the lookout for sharp, curious minds to join our data team for a 3-month internship that could turn into something much longer. Youll work on real projects with real impact not just number crunching in the corner.

Were building clever tools to make life easier for small businesses and data plays a big role in everything we do, from fraud detection to AI automation. If you're excited about solving tricky problems and learning fast in a high-growth fintech, wed love to meet you.

Salary : £35,000 per annum (or more, depending on what you bring to the table)

Location : Hybrid or fully remote just join us for at least 5 days during onboarding, and then 1 day a week in either our London (Kings Cross) or Cardiff office

Duration : 3 months (with a good chance well ask you to stick around)

Start date : Whenever you're ready well work around you

Visa : Youll need the right to work in the UK during your internship we cant sponsor visas for this role

About ANNA

ANNA is a UK-based financial service designed for freelancers and small businesses. One of the Top 25 UK Startups 2024 by Bloomberg . Were growing quickly, both in active users and revenue, and are looking for talented interns to join us in developing key business administration and compliance areas.

You can learn more about us here.

What You Will Be Doing

We will assign you one of the projects based on your interests and competencies.

Samples of the projects that you might be working on:

Improving our AI chat-based tax assistant, Tax Terrapin (try it yourself), ensuring it delivers exceptional, personalised, and proactive support to small business customers.
Enhance fraud detection models and create transaction monitoring rules to identify fraudulent activities efficiently.
Develop a digital profile of our customers neural network embeddings we could use for many downstream tasks.
Develop LLM-based multi-modal systems for interviewing our customers and performing other information requests.

And What Exactly You Will Be Doing

Design systems to provide context-aware, personalised responses based on business profiles, transactions, and documents.
Built and implemented efficient LLM applications using modern Python frameworks with providers like OpenAI, Anthropic, and Google.
Work with data annotators to test new AI use cases and collect datasets based on user history logs.
Deploy applications to real customers using Google Cloud, Kubernetes, and advanced CI/CD pipelines.
Create LLM-based multi-modal systems.

Key Features Of The Internship

Dedicated mentor who will provide consistent guidance and ensure that the results of experiments reach clients. Weekly syncs with the Head of Data Science to discuss challenges, brainstorm solutions, and receive constructive feedback to ensure your success.
Cross-functional team where developers and designers will assist you. We use the Agile framework and believe in hypothesis testing using a minimum valuable product.
Salary, bank holidays, and other typical corporate perks.

Expected Outcomes

You will improve the lives of tens of thousands of ANNAs clients.
The technical and practical experience gained will be highly valuable for your future career anywhere in AI, Data Science, and Machine Learning, especially in fintech.
If you and we are satisfied with the results, we will make you a job offer that will wait until graduation.
We will help you start building your personal brand by highlighting your work and achievements in a post on the company blog. I.e., Meet Our Intern Georgia Hirth .

Requirements

Minimum:

Proficiency in Python, SQL, and libraries for data manipulation and exploration like Pandas and NumPy.
Experience in natural language processing (NLP), time-series data modelling or graph-based models.
Basic understanding of statistical analysis: you should know how to differentiate good results from statistical noise.

Desirable the more of the below you have, the higher salary you will have:

Demonstratable experience in building software solutions to solve real-life challenges.
Have a deep understanding of statistical machine learning and optimisation techniques.
Experience with DevOps tools (Git, Github-actions, Docker, etc.).
Experience with MLOps tools (DVC, MLflow, Seldon, KServe )
Experience solving real-world tasks with prompt engineering, RAG, testing and evaluation techniques for LLMs.
Experience with object-oriented Python, web-scraping, and cloud services.
Experience working with financial data.

LNKD1_UKTJ

Morigerati SRL Societa' Agricola jobs

Data Science Intern