London, United Kingdom
Data Scientist - FinTech
FinTech – London
Salary: Up to £70,000 + Bonus + Benefits
SQL, Quantitative, Hadoop, Matlab, R, Python, MongoDB, Data Mining, AI, Machine Learning, Artificial Intelligence, Postgres, Apache Spark, D3.JS, Cassandra, Data Analysis, Graph Theory, PhD, Pandas, Spark
A revolutionary Fintech organisation that has grown rapidly over the last 4 years with their exceptional product which is taking the energy sector by storm are seeking are seeking a data scientist to join their disruptive technology team. This organisation have a winning mentality, built from great values, which is why they are the driving force behind their success within the market and take pride in having a competitive advantage over their competitors.
This Data Scientist role will involve a self-starter with great experience of working with multiple technologies such as Kafka, R, Python. Matlab and Hadoop. You will need strengths in RDBMS (SQL, NoSQL, MySQL, MongoDB) with data-mining and data modelling expertise.
AI and machine learning concepts are vital for this role as it will be used for quantitative analysis on big-data. Experience with tools such as MATLAB for financial modelling is a great bonus within this role and other statistical analysis tools.
You will use your strengths in data analysis to create revolutionary solutions to deliver to their impressive list of global clients. You will need to come from a strong academic background with a PhD and a passion for big-data.
Key requirements within this role are as follows:
- At least 3 years’ experience as a data scientist - Required
- A great team player with the ability to work collaboratively with a team - Essential
- Great experience with modelling data - Essential
- A background in artificial intelligence and machine-learning - Required
- A degree in either mathematics or computer science from a top tier university - Essential
This Data Scientist opportunity will allow autonomy in a challenging role, where you will get the chance to work within a dynamic culture, fun environment with company share options. This role offers R&D work with great financial backing, allowing you to take full control of the best big data solutions.
If this data Scientist role is of any interest, please contact Jon Kay @ Harrington Starr.