Data Scientist

We are rapidly expanding our data capabilities to leverage innovative technologies, such as AI and ML, to automate and improve our products and processes. This role will join a new team to drive this change throughout our business with the opportunity to make a real difference. We are looking for someone who can get stuck in and lead from the front!

•Develop and execute tailored data automation strategies, enhancing efficiency and reducing manual processes

•Collaborate closely with data engineering teams to seamlessly integrate automated processes

•Implement and reinforce data security measures specific throughout the automation lifecycle

•Leverage cloud platforms (AWS) to scale and optimise data automation and workflow

•Translate business needs into effective data automation solutions, collaborating with stakeholders in the financial sector

•Explore and incorporate innovative data sources and technologies to enhance automation capabilities

•Stay updated on industry trends, emerging technologies, and best practices in financial data automation

•Provide training and support for internal teams to ensure a smooth transition to automated data processes

•Contribute insights to strategic planning sessions, aligning data automation initiatives with overall business goals

Requirements

We are looking for:

•Commercial experience in a data science role

•Proficiency in data science methodologies and algorithms

•Strong programming skills in Python or R including package management

•Experience with statistical analysis and hypothesis testing

•Competency in machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch)

•Ability to clean, preprocess, and analyze large datasets

•Solid understanding of data visualization techniques and tools

•Experience of maintaining cloud infrastructure, preferably AWS

•Effective communication of complex findings to non-technical stakeholders

It would be nice if you had:

•Experience working in Financial Services and with Financial Data, with exposure to Alternatives a real bonus

•Skills in data engineering and pipeline development

•Experience of building and maintaining machine learning and AI models

•Familiar with python, including package management

•Eagerness to get involved and share responsibility for the platform

•Experience of MLOps is a plus

Benefits

• 24 days annual leave rising to 29 days
• Enhanced parental leave
• Medicash (Health Cash Plans)
• Wellness Days
• Flexible Fridays (Opportunity to finish early)
• Birthday day off
• Employee assistance program
• Travel loan scheme
• Charity days
• Breakfast provided
• Social Events throughout the year
• Hybrid Working

We are an Equal Opportunity Employer. Our policy is not to discriminate against any applicant or employee based on actual or perceived race, age, sex or gender (including pregnancy), marital status, national origin, ancestry, citizenship status, mental or physical disability, religion, creed, colour, sexual orientation, gender identity or expression (including transgender status), veteran status, genetic information, or any other characteristic protected by applicable law.