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To excel at this role, you should be detail-oriented, objective and be able to articulate technical details succinctly and clearly. We are looking for demonstrable experience of working on a wide variety of data science and machine learning projects in a commercial or academic environment, knowledge of data best practices and a keen interest of staying abreast of the latest technological developments that are relevant.
What we offer
At GreySpark Partners, you are empowered to take ownership of your work and intellectual development and to build a network that will further your career ambitions. We offer a clearly defined career path and apply a meritocratic process in promoting the next tranche of leaders in our growing firm. You will have the opportunity to work in a team-focused, dynamic business that recognises success.
Statistical analysis of financial data (client/product/trade datasets)
Working with business analysts to define and gather data requirements
Analysing the ML algorithms that could be used to solve a given problem and ranking them by their success probability
Supervising the data acquisition process if more data is needed
Defining validation strategies
Defining data augmentation pipelines
Analysing the errors of the model and designing strategies to overcome them
Deploying models to production
Skills & Qualities
Proficiency with machine learning APIs and computational packages (examples: TensorFlow, LightGBM, PyTorch, Keras, Scikit-Learn, NumPy, SciPy, Pandas, H2O, SHAP, Catboost)
Experience with big-data technologies such as Hadoop, Spark, SparkML, etc
Ability to understand various data structures and common methods in data transformation
Excellent pattern recognition and predictive modelling skills
Experience with large imbalanced datasets
You have proven capability to interact with clients and deliver results, taking ideas to production
Technical skills (optional):
Experience with data visualisation tools Qlikview, Tableau, matplotlib
You have experience working in DevOps cultures. You are comfortable working with CI/CD tools (ideally IBM UrbanCode Deploy, TeamCity or Jenkins), monitoring tools and log aggregation tools.
Ideally, you would have worked with VMs and/or Docker.
Experience with Agile technologies (JIRA) and version control software (Git / Subversion)
University degree in computer science, mathematics, engineering or other quantitative subjects