World Leading Global Energy Oil Company has an exciting opportunity for a Senior Data Scientist with Machine Vision experience to join this Data Science team Centre of Excellence, taking responsibility for using cutting-edge technology to deliver Data Science projects in an agile fashion to enable insights & improvements to business data and processes.
The organisation is embarking on its journey of digitalisation, using advanced technologies (data science, advanced/predictive analytics, machine learning, blockchain) to enable a step change in decision making, operational efficiency and connect directly & seamlessly with our customers.
Researching machine learning models for forecasting and time series analysis using the latest methods
Write clean and maintainable production-level code, including tests
Work closely with the customer and the Product Owner day-to-day
Work in a highly-collaborative, friendly Agile environment, participate in Ceremonies and Continuous Improvement activities
Documenting and explaining the results of analysis or modelling to both a technical and non-technical audience
Learn new engineering practices, technologies and continuously improving Agile practices
3-5 years of experience in developing end-to-end models using machine learning for statistical forecasting in a business/industry environment, ie feature engineering, model creation and evaluation
Write clean, elegant and maintainable production-level code in Python and experience in version control, testing, refactoring
Experience with the Python scientific stack, eg NumPy, Pandas, Scikit-learn, PyMc3 or similar, etc.
Have experience in at least one out of the following three:
Probabilistic Modelling (eg General Linear Models, Stochastic processes, Bayesian Networks, Hidden Markov Models, Hierarchical Modelling, Time Series Modelling, etc.)
Financial modelling in a strongly collaborative environment (eg developing trading strategies and portfolios, etc.)
Algorithms and optimization (eg linear programming, multi-objective optimization, meta-heuristics, etc.)
Knowledge of Bayesian Statistics and Bayesian/Probabilistic modelling
Strong communication skills, especially explaining technical concepts to business people
Extensive experience working in small, empowered, delivery focused, cross-functional and collaborating teams
Desired Skills and Experience:
Experience in NLP and language modelling, eg topic modelling, relationship extraction, embeddings, ontology creation etc.; and associated python packages eg spaCy, NLTK, Gensim, fastText etc.
Bachelor or Master’s degree in any of the following: statistics, machine learning, bio-informatics, econometrics or relevant areas
Experience working with one of the big cloud environments (eg AWS, Azure, GCP, etc.)
Knowledge of NIX commands
This needs combining with a positive attitude and an ability to work within a large, globally dispersed project team in a multi-cultural environment. You also need to be a self-starter, a logical thinker and a quick learner, with strong initiative and excellent communication, interpersonal and presentation skills, able to write clearly and concisely.
We believe in equality of opportunity for all job applicants regardless of gender, marital status, race, colour, nationality, ethnic origin, creed or religion, disability, sexual orientation or age.
Specialising within Energy Trading, Oil & Gas, Financial Markets and TV & Entertainment, Eaglecliff Recruitment is ISO accredited, a Member of REC and listed within the top 4% for Financial stability by Dun & Bradstreet. Please telephone for an immediate response or email your CV for a reply within one hour. Eaglecliff Ltd is acting in the capacity of an employment agency for permanent recruitment and an employment business for contractor resourcing.
Duration: 6 months Initially
Level of experience (years):
Mid Career (2+ years of experience)
How to apply:
Please mention NLP People as a source when applying