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Data Scientist

Ref: : 24478416 (Additional Resources Ltd.)
Location: :

Stonehouse - South West

Rate: £60K (Permanent) +
Industries: IT
Functional Areas: IT

Data Scientist

Location: Stonehouse (Hybrid Home/ Office Working)

Salary: GBP 60k (Flexibility for the right candidate) Pensions 25 day holidays Cycle to work

The Client:

Our client is at the forefront of technical documentation and data management with an unrivalled track record spanning more than 50 years. They are a leading supplier of technical writing, technical translation, technical illustrating and integrated logistics support services to government and industry clients throughout the UK and Europe.

The Role:

They are looking for a Data Scientist to join their team based at Stonehouse, Gloucestershire. You will be an experienced data scientist who will use your skills to produce advanced solutions and insights such as graph databases and analytics, machine learning, image and text processing etc.

Responsibilities:

* Developing advanced machine learning models in Python
* You will be focussing on: image processing; Natural Language Processing; and standard ML models such as regression models, random forests, clustering etc.
* Extracting and manipulating data from existing SQL data stores such as PostgreSQL and SQL Server.
* Developing and maintaining data science models in production, including deploying via containerisation methods such as Docker etc.
* Creating data pipelines and a mechanism to monitor and manage these jobs.
* Designing and building repositories to hold wrangled data.
* Researching new ML techniques and keep abreast of latest developments in machine learning, reading latest literature to identify relevant techniques.


Experience:

* Minimum of 3 years` industry experience writing high-quality, production-grade Python code, with familiarity of code reviews, agile development and version control (Git).
* Detailed knowledge and real-experience on a range of AI techniques
* Computer vision and image processing experience with R-CNN, OpenCV etc.
* Commercial experience in building, developing and testing machine learning solution and models in Python using a range of libraries including: Pandas, numpy, scipy, scikit-learn, Keras, TensorFlow, PyTorch.
* Extensive Natural Language Processing experience including text classification, topic modelling, named entity extraction, relationship extraction and text summarisation.
* Experience of native graph databases is preferred, or at least experience of building networks in Python using Networkx.


Skills and Qualifications:

* A degree in a quantitative discipline (eg Data Science, Mathematics, Statistics, Computer Science, Physics etc) from a reputable university.
* Knowledge of SQL for accessing and processing data. PostgreSQL is preferred but general SQL knowledge is more important.
* Should be familirar with common NLP tools and frameworks including: Stanford`s Stanza, Spacy, NLTK, BERT, GLOVE, Spark NLP etc.
* Development and deployment technologies including continuous integration tools (e.g. Jenkins) and containerisa


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