Engineer - data science

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 active (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 the 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.

Benefits

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
• Pension scheme
• Happy hours and team outings
• Referral bonus program
• Cycle to work scheme
• Friendly tech purchases
• Benefits to choose from, including Health/Dental Insurance
• Special Discounts
• Learning and development budget
• Work abroad days
• 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 hours 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 [email protected]

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 active (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 the 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.

Benefits

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
• Pension scheme
• Happy hours and team outings
• Referral bonus program
• Cycle to work scheme
• Friendly tech purchases
• Benefits to choose from, including Health/Dental Insurance
• Special Discounts
• Learning and development budget
• Work abroad days
• 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 hours 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 [email protected]