Machine Learning Intern, London

As a leading financial services and healthcare technology company based on revenue SS&C is headquartered in Windsor Connecticut and has 27000 employees in 35 countries. Some 20000 financial services and healthcare organizations from the worlds largest companies to small and mid-market firms rely on SS&C for expertise scale and technology.

Job Description

Job Title
Summer Internship Machine Learning

Location: London Hybrid

Get To Know Us:
SS&C is a global provider of investment and financial software-enabled services and software for the financial services and healthcare industries. Named to Fortunes Fintech 50 list SS&C is headquartered in Windsor Connecticut and has more than 27000 employees in 35 countries. Some 20000 financial services and healthcare organizations from the worlds largest companies to small and mid-market firms rely on SS&C for expertise scale and technology.

Our Fund Services business delivers innovative solutions to investment managers and financial institutions globally. This internship offers an exciting opportunity to work alongside experienced software engineers and machine learning specialists on enterprise-scale applications supporting the financial services industry.

Why You Will Love It Here!
Flexibility: Hybrid Work Model
Your Future: Professional Development Reimbursement including access to SS&C University
Work/Life Balance: Competitive holiday scheme
Your Wellbeing: Competitive benefits designed to support the wellbeing of our staff
Diversity & Inclusion: Committed to Welcoming Celebrating and Thriving on Diversity
Training: Hands-On Team-Customised throughout your career

What You Will Get To Do:
Support the development and deployment of machine learning solutions within the Fund Services business
Build and enhance software applications and machine learning pipelines using Python
Work with supervised and unsupervised machine learning techniques to solve business challenges
Assist in the design testing and optimisation of machine learning models and neural networks
Collaborate with global development teams within a distributed working environment
Work with modern technologies including Docker databases CI/CD pipelines and frontend tools
Participate in technical discussions code reviews and continuous improvement initiatives

What You Will Bring:
Currently studying towards a Bachelors Degree in Computer Science or a related field
Experience using Python for systems or software development
Strong knowledge of statistics probability and machine learning concepts
Understanding of supervised and unsupervised statistical techniques including regression clustering and dimensionality reduction
Strong knowledge of neural networks and machine learning methodologies
Strong analytical and problem-solving skills
Ability to work effectively within a distributed global team
Drive curiosity and passion to learn new technologies and skills

Desirable Skills
Experience using Docker
Experience using MongoDB
Experience using PostgreSQL
Experience using Angular
Experience using GitHub version control
Experience with CI/CD tools such as GitHub Actions

We encourage applications from people of all backgrounds to enable us to bring diverse perspectives to our thinking and conversation. Its important to us that we strive to have a workforce that is diverse in the widest sense.

Thank you for your interest in SS&C Technologies Careers. If applicable to further explore this opportunity please apply directly with us through our Careers page on our corporate website.

Unless explicitly requested or approached by SS&C Technologies Inc. or any of its affiliated companies the company will not accept unsolicited resumes from headhunters recruitment agencies or fee-based recruitment services.

Applications will be accepted on an ongoing basis until the position is filled.

SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race color religious creed gender age marital status sexual orientation national origin disability veteran status or any other classification protected by applicable discrimination laws.