This is a great opportunity to join a world-renowned company and build a rewarding career. You will be joining an exceptional and supportive team, working alongside colleagues from around the globe. We promote opportunity and inclusion and will give you access to ongoing training to help you develop and grow. We reward high performance and support colleagues in local community based voluntary activities. This all helps to make our company a great place to work.
Successful apprentices will continuously relate what they are learning with their work at Bank of America, as they progress through their degree programme.
Being part of GIS offers you the opportunity to be part of a world-class information security workforce.
Training and Development:
Your training and development is our top priority with extensive formal training offered at the start of the programme in addition to on the job support, educational speaker events and mentorship throughout
Responsibilities:
As an apprentice, you will join one of our teams in GIS EMEA. Key tasks and responsibilities may include but are not limited to:
Building an understanding of the Banks security policy, standards, and requirements
Develop a strong understanding of established processes and guidelines to handle common issues
Accurate documentation, record-keeping, analysis and response to incoming information security inquiries or issues
Monitor assigned queues and work cases in an efficient and effective manner
Collaborate with team members to resolve more complex problems and/or escalate as necessary
Adapt to change and learning of new technology/processes
Supporting technical and non-technical colleagues performing specialised GIS functions to drive operational efficiencies.
Partnering and developing key relationships with stakeholders across the team and outside of the team
Training Outcome:
Upon completion, there are a number of careers which an apprentice can choose depending upon their interest
Employer Description:At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities, and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We are devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organisation. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us!Working Hours :Monday - Friday, 9.00am - 5.00pm.Skills: Communication skills,IT skills,Attention to detail,Organisation skills,Customer care skills,Problem solving skills,Presentation skills,Administrative skills,Number skills,Analytical skills,Logical,Team working,Creative,Initiative,Non judgemental,Patience....Read more...
Data Scientist (GIS) - Remote
(Data Scientist, Data Science, Data Analyst, Data Analysis, ETL, Sparse data, Spatial data processing, QGIS, Spatial data storage, PostGIS, Jupyter notebooks, Python, Azure Data Factory, Cosmos DB, PostgreSQL, Statistics, Data Analytics, C# .NET, Data Scientist, Data Science, Data Analyst, Data Analysis)
Our client is a prestigious technology company who focus in the Insurance market. They have been a market leader for many years and their worldwide client base has never been stronger, with significant growth in the last 12 months. They are looking for a Data Scientist with a strong GIS focus to be responsible for analysing large datasets to extract actionable insights, build predictive models and develop data-driven solutions to complex problems. You will play a major part in data visualization, statistical analysis and collaboration with cross-functional teams to implement data-driven decision making.
We are seeking a GIS focused Data Scientist with experience of tabular data statistics using Python and Jupyter notebooks and strong QGIS and PostGIS for spatial data processing and spatial data storage respectively. You will need an understanding of data licensing and its implications, full ETL pipeline experience and full data lifecycle management knowledge.
Essential skills include ETL, Jupyter notebooks, Python, QGIS, PostGIS, strong Data Visualization and presentation, expertise in Data Science and Data Analysis and proficiency in Statistics and Data Analytics. Knowledge of Azure Data Factory, Cosmos DB, PostgreSQL and C#.NET is highly desirable, as is any experience in the Insurance industry. Excellent problem-solving and analytical skills and strong written and verbal communication skills are expected.
We are keen to hear from talented Data Scientist candidates from all backgrounds.
This is a truly amazing opportunity to work for a prestigious brand that will do wonders for your career. They invest heavily in training and career development; top performers are guaranteed a career path into senior and lead positions within 12 months.
Location: London / Remote
Salary: £35k - £45k + Bonus + Pension + Excellent Benefits
To apply for this position please send your CV to Nathan Warner at Noir Consulting.
(Data Scientist, Data Science, Data Analyst, Data Analysis, ETL, Sparse data, Spatial data processing, QGIS, Spatial data storage, PostGIS, Jupyter notebooks, Python, Azure Data Factory, Cosmos DB, PostgreSQL, Statistics, Data Analytics, C# .NET, Data Scientist, Data Science, Data Analyst, Data Analysis)
NOIRUKTECHREC
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Join a cutting-edge engineering team developing autonomous systems for the next generation of marine and defence technology. This is a fantastic opportunity for an experienced Software Engineer to take a leading role in designing, developing, and delivering advanced software solutions that operate in challenging real-world environments.
Youll work across the full software lifecycle, from concept and design through to integration, testing and delivery, as part of a multidisciplinary engineering team shaping the future of maritime autonomy.
What youll be doing
- Designing and developing software for advanced autonomous systems
- Supporting integration and delivery activities across complex engineering projects
- Collaborating with hardware, systems and domain experts throughout the development lifecycle
- Engaging directly with end users to refine functionality and performance
- Taking a lead role in development discussions and cross-team collaboration
What youll bring
- Proven experience in software design and delivery
- A degree (or equivalent experience) in Software Engineering, Computer Science, or a related discipline
- Knowledge of autonomous system architectures and the marine or defence domain
- Strong understanding of software engineering processes, tools, and lifecycles
- Experience working in multi-disciplinary engineering environments
Technical skills
Essential:
- Java development
- Java build systems (e.g. Maven)
- Experience with the Atlassian toolset (Jira, Confluence, Bitbucket)
- Knowledge of ISO 9001 quality principles
Desirable:
- HMI / UI development (e.g. JavaFX)
- GIS development
- Communication and control system interfaces
- Git version control
- UML design
Why apply?
- Hybrid and flexible working options (full-time, part-time or condensed hours)
- Excellent professional development and progression opportunities
- Collaborative and innovative engineering culture
- Competitive salary, pension and benefits
Security Clearance: Applicants must be eligible to obtain UK Security Clearance (SC).
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We are seeking an Project Data Processor to join Fugro working within the Marine Asset and Integrity(MAI) Service Line of the business.
The Project Data Processor will perform the role by taking ownership of a project from setup and throughout the project life-cycle with support from senior DPs. To provide feedback and handovers relating to each project to senior personnel.
The Project Data Processor supports senior colleagues by analysing day‑to‑day post‑processed office and field‑acquired geospatial data on medium‑complexity projects and ensuring the completeness and quality of all interpreted information. The position also contributes advanced expertise in developing and implementing GIS applications and maintaining awareness of the latest updates where relevant. Additional duties involve, identifying opportunities for process improvement, recommending enhancements to existing workflows, and clearly communicating requirements to software developers. While the role typically follows established guidelines and procedures, it may deviate when appropriate to meet project needs.
At Fugro, every role contributes to the success, safety, and growth of our business and our people. As an Project Data Processor, you will play a key part in upholding these values through your commitment to data excellence.
Your role and responsibilities:
Performing necessary computations and compiling survey reports for complex assignments
Analysing and processing collected geospatial data for client delivery, applying strong problem‑solving skills to project challenges.
Highlight any software issues and recommend improvements.
Seek out and bring to the attention any training requirements to the Processing Supervisor
Assistance may be required to review work scope reviews.
What you’ll need to thrive in this role:
BSC, MSC or equivalent in a relevant survey related discipline;
Good understanding of survey and processing principles;
An excellent communicator (verbally and written) and able to form good working relationships with clients and colleagues at all levels;
Ability to prioritise workload to meet project operational deadlines;
Good attention to detail, quality and safety;
Disciplined, self-motivated and flexible team player;
Knowledge of CAD/GIS packages and EIVA processing software
About Us
Who we are Do you want to join our Geo-data revolution? Fugro’s global reach and unique know-how will put the world at your fingertips. Our love of exploration and technical expertise help us to provide our clients with invaluable insights. We source and make sense of the most relevant Geo-data for their needs, so they can design, build and operate their assets more safely, sustainably and efficiently. But we’re always looking for new talent to take the next step with us. For bright minds who enjoy meaningful work and want to push our pioneering spirit further. For individuals who can take the initiative, but work well within a team.
What we offer
Fugro provides a positive work environment as well as projects that will satisfy the most curious minds. We also offer great opportunities to stretch and develop yourself. By giving you the freedom to grow faster, we think you’ll be able to do what you do best, better. Which should help us to find fresh ways to get to know the earth better. We encourage you to be yourself at Fugro. So bring your energy and enthusiasm, your keen eye and can-do attitude. But bring your questions and opinions too. Because to be the world’s leading Geo-data specialist, we need the strength in depth that comes from a diverse, driven team.
Our view on diversity, equity and inclusion
At Fugro, our people are our superpower. Their variety of viewpoints, experiences, knowledge and talents give us collective strength. Distinctive beliefs and diverse backgrounds are therefore welcome, but discrimination, harassment, inappropriate behaviour and unfair treatment are not. Everybody is to be well-supported and treated fairly. And everyone must be valued and have their voice heard. Crucially, we believe that getting this right brings a sense of belonging, of safety and acceptance, that makes us feel more connected to Fugro’s purpose ‘together we create a safe and liveable world’ – and to each other.
Benefits of joining our team
Extensive career & training opportunities both nationally and internationally.
Competitive salary
Contributory pension scheme
Flexible working hours and the potential to work 2 days a week from home in accordance with your manager and corporate policies
Private medical insurance
Health cash plan
Group life assurance
Group income protection
Electric car scheme
Cycle to work scheme
Discounted gym membership
Discounts platform
The Fugro Card (pre-paid virtual visa card, which earns cash back automatically when money is spent at any participating retailers)
Enhanced maternity and paternity pay
Long service awards
Fugro values awards
Employee referral bonus scheme
Disclaimer for recruitment agencies:
Fugro does not accept any unsolicited applications from recruitment agencies. Acquisition to Fugro Recruitment or any Fugro employee is not appreciatedApply for this ad Online!....Read more...
Were looking for an Analytics Engineer to join a high-impact data team building products that directly influence commercial performance and revenue growth. This role sits at the intersection of data engineering, analytics, and product, with clear visibility on how technical decisions translate into real business outcomes.
Youll take ownership of the data infrastructure that powers revenue-generating tools used by sales and commercial teams. From designing scalable data pipelines to building robust data models, youll create the foundations that enable real-time insights, automated lead generation, and smarter decision-making across the organisation.
This is an opportunity to scale proven data products from successful prototypes into enterprise-grade platforms, while mentoring others and shaping best practice as the data estate grows.
What youll be doing
- Owning and architecting end-to-end data infrastructure for commercial and sales-facing tools
- Designing and building scalable ELT pipelines and data models to support applications, dashboards, and analytics products
- Writing and optimising SQL and Python to process large, complex datasets
- Building and maintaining dbt models, tests, and documentation
- Monitoring pipeline health, data quality, and performance metrics
- Leading technical architecture discussions and making design decisions that support future scale
- Collaborating closely with analytics, data engineering, sales operations, and market intelligence teams
- Mentoring team members on analytics engineering best practices
- Ensuring high standards around testing, version control, CI/CD, and documentation
What youll need
- Strong SQL skills for large-scale data transformations
- Strong Python skills for data pipeline development
- Hands-on experience with dbt / dbt Cloud
- Experience working in GCP, particularly BigQuery
- Infrastructure-as-code experience (e.g. Terraform)
- Strong experience with Git and modern version control workflows
- Solid understanding of data modelling (dimensional models, star schemas)
- Experience implementing data quality and testing frameworks
What will help you succeed
- Strong architectural thinking and ability to design for scale
- Proactive approach to identifying data quality and performance issues
- Ability to communicate clearly with non-technical stakeholders
- Experience mentoring or guiding other engineers
- Familiarity with CI/CD pipelines for data transformations
- Knowledge of enterprise data warehouse design principles
- Exposure to geospatial analytics (e.g. BigQuery GIS)
- Experience working with data visualisation tools such as Tableau
- Interest in advanced analytics, predictive modelling, or AI-driven insights
- Understanding of data governance, lineage, and metadata management
- Experience with modern data stack tools (e.g. Airbyte, Fivetran)
- A continuous-learning mindset in a fast-evolving data environment
Why join?
- Work on data products with direct, measurable commercial impact
- High ownership and influence in a small, collaborative team
- Mix of hands-on technical work and strategic architecture decisions
- Hybrid working with regular in-person collaboration in London
- Opportunity to shape how data is used across a growing, global organisation
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