Machine Learning, Data Science Intern Reading, England
Job description
About us
Diagonal Matrix, a boutique Financial Crime technology solutions consultancy, offers IT solutions to counter Financial Crime, Anti-Money Laundering (AML), Know Your Customer (KYC), Bribery, and corruption challenges in the Financial sector. The company developed an AI/ML-based financial fraud detection & monitoring platform, that is intended to change the way the financial industry operates today.
AI/ML Datascienst Intern
Diagonal Matrix Ltd is seeking a Data Scientist, AI/ML Intern to join our team! This internship is to help students gain experience and participants have to come to work in Reading. This is a great opportunity for someone looking to gain experience in marketing and sales.
About this Job:
Any Bachelors or Masters or equallant is ideal.
Degree in Data Science is highly recommended.
About this Job:
- Are you a career beginner or Recent college graduate?
- looking to learn and build career in AI/Machine Learning?
- Are you looking for sponsorship?
- Are you looking for training, hands-on experience and guidence?
- Do you have to do a compulsory internship as part of your university course?
- If you answered yes to all these questions, you are at the right place!
Our team needs 20 UK based AI/ML Data Scientist interns, ideally come to work in Reading, UK and to connect with our team.
As a Machine Learning Intern, you will learn and contribute to:
Job Description:
- Gathering and organizing large datasets.
- Cleaning and preprocessing data to remove noise and inconsistencies.
- Conducting exploratory data analysis to gain insights from data.
- Identifying patterns and trends.
- Selecting relevant features or variables for analysis.
- Creating new features that can improve model performance.
- Developing machine learning models using algorithms such as regression, classification, clustering, or deep learning.
- Training models on data and fine-tuning hyperparameters.
- Assessing model performance using appropriate metrics (e.g., accuracy, precision, recall, F1-score, ROC AUC).
- Conducting cross-validation and testing on holdout datasets.
- Deploying machine learning models to production systems.
- Integrating models into existing applications or workflows.
- Creating data visualizations and reports to communicate insights and results to non-technical stakeholders.
- Proficiency in machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
- Working with data science tools such as Jupyter, pandas, and NumPy.
- Applying statistical techniques to validate hypotheses and make data-driven decisions.
- Understanding the industry or domain in which the data science work is being performed.
- Working with big data technologies such as Hadoop and Spark for processing large datasets.
- Ensuring that models are interpretable and can be explained to stakeholders.
- Designing and conducting A/B tests to evaluate the impact of changes or interventions.
- Adhering to ethical guidelines and ensuring data privacy and security.
- Staying up-to-date with the latest advancements in machine learning and data science.
- Collaborating with cross-functional teams, including data engineers, software developers, and business analysts.
- Managing data science projects, including scoping, timelines, and resource allocation.
- Identifying and defining business problems that can be addressed with data science.
- Monitoring model performance in production and retraining models as needed to maintain accuracy.
- Effectively communicating findings and insights to both technical and non-technical audiences.
Benefits:
- We're a startup company, everything and anything is possible.
- You'll undergo 6 months of rigorious training and help you buildup your sklills and expertise in such a way that you are exteemly confident to solve any complex algoritham.
- You'll be part of a team where you will be able to be creative and to bring your touch of creativity!
- Work in the office, learn a lot about the development of a new company, and the development of a brand.
- This is a fully office based position, and no experience is expected.. Based on your performance, we sponsor visa to hire into permanent roles.
We're expecting 5 days a week in Reading Office.
We're excited to hear more from you!
Job Type: Internship
Contract length: 6 months
Benefits:
UK visa sponsorship
Schedule:
Day shift
Flexitime
Monday to Friday
Expected start date: 02/10/2023
Job Type: Internship
Contract length: 6 months
Benefits:
- Flexitime
- UK visa sponsorship
Schedule:
- Day shift
- Flexitime
- Monday to Friday
Supplemental pay types:
- Bonus scheme
- Commission pay
- Performance bonus
- Tips
- Yearly bonus
Work Location: In person
Expected start date: 18/09/2023
