Data Scientist
IntaPeople are currently supporting a leading provider of technology services within the UK MOD industry. If you’re looking for a new challenge and want to work on innovative, cutting-edge solutions using Machine Learning and AI this could be an opportunity for you.
We are building a new data science for the future which has been created with data, data science and analytics at It’s hard to ensure we become a data-led company.
About the role
As a Data Scientist you will be responsible for delivering a range of Machine Learning and AI models, and for developing and delivering our graph capabilities. You will work as part of a new team of data scientists working in these areas, as well as working closely with our software development and product teams.
In this role, you will have the opportunity to:
- Extract and manipulate data from existing SQL data stores such as PostgreSQL and SQL Server. In addition, we are embracing graph databases.
- Develop advanced machine learning models in Python, focussing on: image processing; Natural Language Processing; and standard ML models such as regression models, random forests, clustering etc.
- Develop and maintain data science models in production, including deploying via containerisation methods such as Docker etc.
- Create data pipelines and a mechanism to monitor and manage these jobs.
- Work in agile teams, with code reviews and source control.
- Research new Machine Learning techniques and keep abreast of latest developments in machine learning, reading latest literature to identify relevant techniques.
- Learn new skills, to test and prove new technologies or capabilities and drive what you discover into working production solutions.
- We encourage writing blogs and whitepapers on contemporary and latest developments in data science and machine learning to reach a wide audience.
About you
Ideally, you’d hold most of the experience listed below although not all is essential -
- A relatable degree with a quantitative discipline such as Data Science, Mathematics, Statistics, Computer Science, Physics)
- Ideally 3+ years’ industry experience writing high quality, production-grade Python code, with familiarity of code reviews, agile development and version control (Git).
- As a Data Scientist you will have detailed knowledge and real experience on a range of AI techniques (eg supervised and unsupervised machine learning techniques, deep learning, graph data science and analytics)
- Having commercial experience in building, developing and testing machine learning solution and models in Python using a range of libraries including: Pandas, PyTorch, numpy, scipy, scikit-learn, Keras or TensorFlow.
- Knowledge of SQL for accessing and processing data
- Extensive Natural Language Processing experience including text classification, topic modelling, named entity extraction, relationship extraction and text summarisation. Familiarity with common NLP tools and frameworks including: Stanford’s Stanza, Spacy, NLTK, BERT, GLOVE, Spark NLP etc.
- Computer vision and image processing experience
- Development and deployment technologies including continuous integration tools (e.g. Jenkins) and containerisation technologies (e.g. Docker, Kubernetes).
- Knowledge of graphs/networks, and graph algorithms such as pathfinding, centrality algorithms, and community detection. Experience of native graph databases is preferred, or at least experience of building networks in Python using Networkx.
- Emerging and contemporary fields of ML, eg synthetic data and privacy; Explainable AI and frameworks/tools such as SHAP and LIME.
Benefits package at a glance:
- A Starting salary of £55,000 - £60,000 (depending on experience)
- Remote working model is flexible on an individual basis – most engineers are require to attend the office 1-2 days per month (near Gloucester)
- 25 days annual holiday plus up to 5 additional days.
- The chance to work on cutting edge projects
- Professional development, with support for training courses, certifications and conferences.
- An environment that encourages entrepreneurial spirit.
- Cycle-to-work scheme and other benefits.
- Hackathons and other company events
Please note as this project will be working within the UK MoD and other central government departments you will need to hold SC Clearance or be eligible for SC Clearance before starting onsite.
You will also need to work in the UK without sponsorship and who have lived in the UK for the last 5+ years continuously.
For more information click APPLY now or call Nathan Handley on 02920 252 500 for a confidential chat.
This location is easily commutable from Gloucester, Cirencester, Ross on wye, Stroud and many other neighboring towns/villages.