Business Process Automation and AI Development Specialist

fscom
London
1 year ago
Applications closed

Related Jobs

View all jobs

Artificial Intelligence Consultant

Data Scientist

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Data Science Manager - Platforms and Core Capabilities (Metaheuristics)

Role:Business Process Automation and AI Development Specialist

Location:Belfast, London or Dublin, with an option to work hybridly


About fscom


fscom is one of the leading specialist consulting firms providing governance, risk, and compliance solutions to financial services institutions in the UK and Ireland.


We are a firm of deep domain experts who specialise in the asset management, banking, capital markets, digital assets and payments sectors.


At fscom we take a commercial approach to help our clients grow their business in a compliant way providing our clients with in-depth regulatory insight and industry best practice in all areas of financial services regulation to include authorisation, audit, financial crime, cyber security, and regulatory due diligence.


This is an exciting time to be joining fscom and be part of a successful, thriving business, receiving investment from Bridgepoint in October 2022 we are ambitious in our plans. Our people are at the heart of our business and our success, and we are excited about the opportunities available to our current and prospective colleagues.


The Role


We are seeking a highly skilled and motivated Business Process Automation and AI Development Specialist to join our professional services consulting practice. The successful candidate will play a critical role in driving efficiency, innovation, and digital transformation by automating business processes and developing AI solutions. This role requires a deep understanding of business operations, advanced technical skills, and the ability to work collaboratively with various stakeholders.


Key Responsibilities


Business Process Automation:


  • Analyse current business processes to identify opportunities for automation and efficiency improvements.
  • Design, develop, and implement automated workflows using Microsoft 365 environment (Power Automate, CoPilot), BPM (Business Process Management) software, and other relevant technologies.
  • Create and maintain documentation for automated processes, including process maps, workflows, and user guides.
  • Monitor and optimize automated processes to ensure they are functioning as intended and delivering expected benefits.
  • Work with stakeholders to assist in automating processes for new service offerings
  • Design BPA and AI strategy for professional services company


AI Development:


  • Develop and implement AI solutions to solve complex business problems and enhance service offerings.
  • Integrate AI solutions with existing business systems and processes to improve decision-making and operational efficiency.
  • Stay up-to-date with the latest advancements in AI and machine learning and recommend new technologies and methodologies as appropriate.
  • Extensive understanding and technical knowledge of the market trends and factors affecting a consulting business within the financial sector.
  • Understanding risk to the business, ensuring adherence to good governance and mitigating reputational damage to the company in the development of AI products and processes.


Project Management:


  • Lead and manage automation and AI projects from inception to completion, ensuring they are delivered on time, within scope, and within budget.
  • Collaborate with cross-functional teams, including IT, operations, consulting teams, to gather requirements, design solutions, and ensure successful implementation.
  • Communicate project status, risks, and issues to stakeholders and provide regular updates on progress.
  • Proven experience in service delivery across multiple projects and building expertise within teams for delivery to clients
  • Results orientated with determination to deliver against results and KPIs.


Consultation and Support:


  • Provide expert advice and guidance to internal teams on business process automation and AI best practices.
  • Work closely with Head of People to enable skills development and conduct training sessions, workshops to educate stakeholders on new technologies and processes.
  • Offer ongoing support and maintenance for implemented solutions, troubleshooting issues, and making necessary enhancements.
  • Confident, articulate, exceptional presentation skills.
  • Able to build trust and credibility with individuals internally and externally.
  • Effective communicator with a track record of successfully building relationships and trust


Key Criteria:


  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field; advanced degree preferred.
  • Proven experience in business process automation, AI development, and project management.
  • Strong technical skills, including proficiency with RPA tools (e.g., UiPath, Automation Anywhere), BPM software, and AI/ML frameworks (e.g., TensorFlow, PyTorch).
  • Experience with data analysis, data engineering, and working with large datasets.
  • Excellent problem-solving skills and the ability to think critically and creatively.
  • Strong communication and interpersonal skills, with the ability to effectively collaborate with diverse teams and stakeholders.
  • Knowledge of industry-specific regulations and compliance requirements is a plus.
  • This is a senior role with the expectation that the candidate will be a key contributor to direction and growth of the business, role modelling the company values, developing and guiding employees.


fscom reserve the right to expand the criteria for the role dependent upon the number of applications received.


What Will I Get From The Role?


You will have the opportunity to work for an award-winning consultancy business with leading clients. Have a look at our success so far viafscom. This is an exciting opportunity to work for fscom as we are working through a clear strategy of growth and development.


We are an equal opportunities employer.


You will work within a friendly and stimulating working environment where you will have a challenging role that is critical to business success.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.