At a Glance
- Tasks: Support data transformation and promote AI initiatives across the business.
- Company: Established investment house with a focus on innovation and technology.
- Benefits: Competitive contract pay, exposure to cutting-edge technologies, and professional growth.
- Other info: Dynamic role with significant autonomy and collaboration with senior stakeholders.
- Why this job: Make a real impact by leveraging data and AI to drive business success.
- Qualifications: 2+ years in AI, data science, or analytics; strong communication skills required.
The predicted salary is between 72000 - 88000 £ per year.
Data & AI Analyst [Contract], Investment Manager, London [Onsite]
We are working with a long-standing investment house that is seeking to hire a data & AI analyst, on a contractual basis [6-month rolling contract], to support the business through a period of significant data transformation.
This is a role where you'll work across the business, promoting change and identifying use cases for emerging technologies.
You will also support wider initiatives to improve business-wide automation practices.
Working closely with senior stakeholders, you will help evaluate how data, AI, and emerging technologies can be leveraged to drive more effective decision-making, streamline business processes, and support long-term strategic objectives.
It is a broad role with significant autonomy and stakeholder exposure, working closely with teams across investment, operations, and technology.
Responsibilities
- Support the delivery of data, AI, and automation initiatives across the business.
- Partner with stakeholders to identify opportunities for process improvement and technology adoption.
- Assess emerging technologies and translate technical concepts into practical business applications.
- Contribute to the implementation and embedding of new tools, processes and AI-driven ways of working.
Requirements
- 2+ years' experience in AI, machine learning, data science, analytics, quantitative research or a related field.
Exceptional candidates from alternative backgrounds will also be considered.
- Working knowledge of tools such as Python, SQL and Power BI (or other BI tools) for data analysis, reporting and automation.
- Excellent communication skills, capable of engaging effectively with both technical and non-technical stakeholders.
- Undergraduate degree from a leading university in a quantitative, mathematical, technical or STEM-related discipline.
Due to demand, we are advertising this role anonymously.
If you would prefer to speak to someone before submitting a CV, please send a blank application to the role and someone will be in touch to discuss.
We can only respond to highly qualified candidates.
Data & AI Analyst [Contract] in City of London employer: Undisclosed
Experis is an exceptional employer, offering a dynamic work environment in London or Manchester where collaboration and innovation thrive. With a strong focus on employee growth, we provide comprehensive benefits including a contributory pension programme, medical and dental cover, and generous holiday allowances, ensuring our team members feel valued and supported in their professional journey.
StudySmarter Expert Advice🤫
We think this is how you could land Data & AI Analyst [Contract] in City of London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Undisclosed before they're even advertised!
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Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
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We think you need these skills to ace Data & AI Analyst [Contract] in City of London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Undisclosed, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Undisclosed, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Undisclosed’s attention and show the tangible impact of your work.
How to prepare for a job interview at Undisclosed
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Undisclosed.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Undisclosed.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Undisclosed.
