At a Glance
- Tasks: Collaborate with teams to build AI-powered solutions and enhance financial technology.
- Company: Join SimCorp, a leader in innovative FinTech solutions.
- Benefits: Attractive salary, bonus scheme, work-life balance, and tailored professional development.
- Other info: Dynamic environment with opportunities for growth and learning.
- Why this job: Be part of a pioneering team driving AI adoption in finance.
- Qualifications: 3+ years in technical consulting or applied AI, strong communication skills.
The predicted salary is between 74295 - 90805 £ per year.
What Makes Us, Us
Join some of the most innovative thinkers in Fin Tech as we lead the evolution of financial technology.
If you are an innovative, curious, collaborative person who embraces challenges and wants to grow, learn and pursue outcomes with our prestigious financial clients, say Hello to Sim Corp!
At its foundation, Sim Corp is guided by our values — caring, customer success-driven, collaborative, curious, and courageous.
Our people-centered organization focuses on skills development, relationship building, and client success.
We take pride in cultivating an environment where all team members can grow, feel heard, valued, and empowered.
If you like what we’re saying, keep reading!
WHY THIS ROLE IS IMPORTANT FOR US
The AI Enablement team is a newly established, cross-functional team within Sim Corp that builds organizational capability and accelerates AI adoption across all business functions.
We partner with product teams and functional leaders to deliver AI literacy programmes, co-build sophisticated AI solutions, manage reusable component libraries, and drive value measurement across the enterprise.
As an AI Solutions Consultant, you will be a key member of Sim Corp's newly established AI Enablement team.
You will work at the intersection of business and technology, partnering directly with functions to co-build AI-powered solutions using the latest enterprise AI platforms.
WHAT YOU WILL BE RESPONSIBLE FOR
- Partner directly with business functions to either advise on or co-build AI-powered solutions using no/low-code and enterprise AI platforms, specifically Microsoft Copilot (Studio) and Claude.
- Advise functions on the selection, configuration, and integration of AI tools into their existing workflows and systems.
- Support in the end-to-end delivery of functional and cross-functional low-code AI solutions – from requirements gathering and solution design through to testing, deployment, and iteration.
- Advise functions on connectors to enterprise systems and MCP servers.
- Develop and document reusable components – including prompts, agents, workflow templates, and integration patterns – for inclusion in the shared component repository.
- Collaborate with the enterprise AI Foundation team to ensure solutions are built on approved infrastructure, meet security requirements, and are compliant with relevant regulations (e. g.
EU AI Act, GDPR).
- Support user adoption by working closely with the AI Learning Consultant to develop role-specific training and additional adoption materials for deployed solutions.
- Conduct solution assessments and proof-of-concept evaluations to validate feasibility and value before full-scale build.
- Contribute to best practice dissemination by helping documenting lessons learned, solution patterns, and reusable assets.
WHAT WE VALUE
- 3+ years of experience in technical consulting or applied AI roles.
- Proven ability to advise/support in building AI-powered solutions using no/low-code platforms (specifically, Copilot (Studio) and Claude).
- Ability to work directly with business stakeholders to translate requirements into functional technical solutions.
- Understanding of large language models, prompt engineering, MCP servers, system connectors, and API integrations.
- Strong communication and stakeholder skills.
- Understanding of responsible AI principles, data privacy considerations, and enterprise security requirements.
- Structured problem-solving approach; able to balance technical depth with pragmatic delivery under time constraints.
- Knowledge and experience with Python
- Fluent English; additional languages are a plus.
- Experience in financial services or investment management
Benefits
Attractive salary and bonus scheme are essential for any work agreement.
However, in Sim Corp, we believe we can offer more.
Therefore, in addition to the traditional benefit scheme, we provide a work & private life balance.
We also practice a tailored approach to professional development to support the direction you want to take
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AI Solutions Consultant employer: SimCorp
At SimCorp, we pride ourselves on being an exceptional employer, offering a dynamic and inclusive work culture that fosters professional growth and collaboration. As part of the Deutsche Börse Group, our UK-Nordics team benefits from flexible working hours and hybrid arrangements, alongside tailored development opportunities that empower employees to thrive in their careers. Join us to lead impactful consulting engagements while contributing to a global environment that values diversity and innovation.
StudySmarter Expert Advice🤫
We think this is how you could land AI Solutions Consultant
✨Get Involved in Data Science Meetups
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✨Show Off Your Projects
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✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like SimCorp.
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We think you need these skills to ace AI Solutions Consultant
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at SimCorp, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at SimCorp. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at SimCorp
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at SimCorp!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
