Senior Data Scientist

Key Skills

Java Programming, Python Programming, Database, SQL, Automation Testing, Big Data Technology, Aartificial intelligence, Machine learning techniques, Deep Learning, Data Analytics, Janusgraph, Neural Networks, Statistical modeling, ETL frameworks, Transformer, Data extraction, Data Analysis

Job Description

At Jacobs, we'll inspire and empower you to deliver your best work so you can evolve, grow and succeed – today and into tomorrow. With more than 55,000 people in 40+ countries, working at Jacobs offers an exciting range of opportunities to develop your career within a supportive and diverse team who always strive to do the right thing for our people, clients and communities.

People are Jacobs’ greatest asset, and we offer a competitive package to retain and attract the best talent.

In addition to the benefits you’d expect, UK employees also receive free single medical cover and digital GP service, family friendly benefits such as enhanced parental leave pay, free membership of employee assistance and parental programmes, plus reimbursement towards relevant professional development and memberships.

We also give back to our communities through our Collectively program which incorporates matched-funding, paid volunteering time and charitable donations.

Work-life balance and flexibility is a key focus area for Jacobs. We’re happy to discuss hybrid, part-time and flexible working hours, patterns and locations to suit you and our business.

We are looking for an experienced data scientist who has a deep background delivering complex data-centric solutions.

 Here’s What You’ll Need:

The successful candidate will be responsible for applying data science techniques and technologies to a range of problems to help our clients operate more efficiently and to better exploit the value in their data.

• Degree qualification in a related discipline, or relevant experience
• Significant experience using Big Data, Machine Learning, Artificial Intelligence, and Data Visualisation methods to index, search, categorise, and exploit data on large-scale projects, including the following, using a wide range of COTS, open source, and bespoke technologies:
• Exploratory Data Analysis
• Statistical Methods
• Automation Systems
• Deep Learning
• Neural Networks
• Training Data Sets
• Data Driven Analysis
• Anomaly Detection
• Streaming, Time Series, and Graph Analytics
• Data Extract, Transform, Load (ETL)
• Data Flow and Ingest Engineering
• Ingest, Process, Tagging at Scale
• Bulk data (collection, storage, and processing of large sets of related data records) and Streaming (continuous real-time delivery of data for processing) capabilities
• Exploratory Data Visualizations
• Network Graph Display

Dashboard Display

• Excellent collaboration, communication, report writing and presentation skills with the ability to communicate cloud security-related concepts to a broad range of technical and non-technical staff in an intelligent, articulate, and persuasive manner
• The ability to be security cleared to SC
• Effective communication skills (written and verbal) to properly articulate complicated cloud reports to management and other IT development partners