AI Engineer - Data Science

JR United Kingdom; High Wycombe; On-site; GBP 40,000 - 60,000; Full time

Job summary

A leading company in data science and analytics is seeking an AI Engineer to aid enterprises in deploying innovative AI solutions. The role involves collaborating with top-tier organizations, managing client relations, and utilizing cutting-edge technologies to drive effective data-driven decisions.

Benefits

25 days of paid holiday plus bank holidays

Share options

Learning and development budget

Health/Dental Insurance

Office snacks and drinks

Qualifications

• Experience with traditional data science and machine learning.
• Proactive adoption of new AI tools.
• Ability to translate business problems into scalable solutions.

Responsibilities

• Collaborate with clients to design and deploy data science agents.
• Manage stakeholder relationships and deliver solutions.

Skills

Data Science

Machine Learning

Stakeholder Management

Solution Architecture

Job description

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AI Engineer - Data Science, High Wycombe

Client:

Location:

High Wycombe, United Kingdom

Job Category:

Other

EU work permit required:

Yes

Job Views:

1

Posted:

04.06.2025

Expiry Date:

19.07.2025

Job Description:

causaLens delivers digital workers for analytics & data science, transforming the way enterprises automate complex analytics workflows. Our AI agents act as always-on digital workers, eliminating the need for fragmented tools, consultants, and seat licenses. Trusted by industry leaders like Cisco, Johnson & Johnson, and Canon, causaLens empowers teams to achieve insights 10x faster at 1/10th the cost, with guaranteed outcomes and zero overhead.

Requirements

We are seeking AI Engineers with strong data science expertise who are excited to help world-leading enterprises deploy cutting-edge AI agents. The ideal candidate will bring a blend of:

• Experience with traditional data science and machine learning (solid stats, programming, ideally exposure to MLOps, etc.)
• Critical: up-to-speed with the latest AI tools and actively (daily) leverage of the same (co-pilots, MCPs, agentic workflows, RAGs, LLMs). We appreciate these are new and fast-moving technologies, so we are not looking for years of experience with these, but proactive, keen adoption and leverage across.
• Stakeholder management, solution architecture, and delivery. You will work closely with clients, translating business problems into scalable, intelligent solutions.

You’ll collaborate with top-tier enterprises to design and deploy bespoke data science agents, empowering users to fully leverage the capabilities of our platform.

We care about our people’s lives, both inside and outside of causaLens. Beyond the core benefits like competitive remuneration and a good work-life balance, we offer the following:

• 25 days of paid holiday, plus bank holidays
• Carry over/sell holiday options (up to 5 days)
• Share options
• Happy hours and team outings
• Cycle to work scheme
• Friendly tech purchases
• Benefits to choose from, including Health/Dental Insurance
• Special Discounts
• Learning and development budget
• Office snacks and drinks

Logistics

Our interview process consists of screening sessions with the hiring manager and a "Day 0" which involves an approx 3-hour in-person challenge followed by an in-person presentation and interviews.

Have questions? We encourage open dialogue—reach out anytime.

If you require accommodations during the application process or in your role at causaLens, please contact us at [emailprotected]