This forward-thinking company offers a powerful enterprise platform that leverages AI to deliver predictive analytics and actionable insights, helping top-tier clients across industries such as asset management, banking, retail, supply chain, telecoms, utilities, etc. significantly improve their business performance.

• Cloud & Distributed Systems: Scale and manage distributed systems with Kubernetes in a multi-cloud environment.
• Backend Development: Build and maintain Python microservices to ensure platform scalability.
• Cloud Infrastructure: Oversee infrastructure across AWS, Azure, and GCP, managing clusters and microservices. Kafka experience is a plus.
• Cross-Functional Collaboration: Work closely with Data Scientists, Engineering, and ML teams to align technical solutions with business objectives.

Key attributes of the suitable Senior Back End Developer include:

• Flexibility: Strong backend and infrastructure skills, with a broad understanding of technologies.
• Python Expertise: Demonstrated experience building and deploying Python microservices.
• Kubernetes: Proven ability to manage clusters and multi-service applications.
• Cloud Experience: Familiarity with AWS, Azure, and GCP environments.

This forward-thinking company offers a powerful enterprise platform that leverages AI to deliver predictive analytics and actionable insights, helping top-tier clients across industries such as asset management, banking, retail, supply chain, telecoms, utilities, etc. significantly improve their business performance.

• Cloud & Distributed Systems: Scale and manage distributed systems with Kubernetes in a multi-cloud environment.
• Backend Development: Build and maintain Python microservices to ensure platform scalability.
• Cloud Infrastructure: Oversee infrastructure across AWS, Azure, and GCP, managing clusters and microservices. Kafka experience is a plus.
• Cross-Functional Collaboration: Work closely with Data Scientists, Engineering, and ML teams to align technical solutions with business objectives.

Key attributes of the suitable Senior Backend Engineer include:

• Flexibility: Strong backend and infrastructure skills, with a broad understanding across technologies.
• Python Expertise: Demonstrated experience building and deploying Python microservices.
• Kubernetes: Proven ability to manage clusters and multi-service applications.
• Cloud Experience: Familiarity with AWS, Azure, and GCP environments.

Since its inception in the last 10 years, our client has pioneered Causal AI—a groundbreaking advancement in machine intelligence. They’ve launched decisionOS, the first enterprise decision-making platform powered by Causal AI, and have raised $40+ million in Series A funding. Recognised by Gartner and included in Otta’s 2022 Rocket List, our client is at the forefront of AI innovation, helping businesses across various sectors make informed, impactful decisions.

• Own Value Delivery: Lead the value framing and delivery during pre-sales and post-sales, ensuring alignment with data science teams, use case owners, and executives.
• Act as Technical Expert: Conduct and coordinate demos and platform trials, showcasing the business value of the client’s solutions.
• Define Deliverables: Own technical deliverables and customer success during the pre-sales period.
• Identify Opportunities: Look for upselling and cross-selling opportunities within the existing customer base.
• Collaborate Across Teams: Work with Commercial, Product, and Engineering teams to meet customer priorities and achieve pre-sales success.

You are a strategic thinker with a solid foundation in AI and pre-sales experience. To excel in this role, you should have:

• Experience: At least 2 years of pre-sales experience in an enterprise analytics company or consulting. Ideally with familiarity with Machine Learning/AI
• Enterprise Deals: Proven experience supporting large enterprise software deals.
• Commercial Acumen: Excellent commercial awareness and the ability to influence senior stakeholders with a creative, problem-solving approach.
• Education: Bachelor’s degree or higher in Computer Science, Engineering, or related fields.

They are seeking a “Value Consultant” (covers pre and post sales solutions) to join their dynamic team in London. This role offers a unique opportunity to work closely with the Director of Value Engineering, fostering personal development while contributing to a platform designed to optimize every business on the planet.

As a Value Consultant, you will collaborate with world-class engineers, data scientists, and commercial executives to elevate their platform as a leader in tech. Your role will involve identifying customer pain points and crafting innovative solutions using their platform. Your responsibilities will include:

– Leading value framing and delivery during pre-sales and post-sales for stakeholders including data science teams, use case owners, and executives.

– Engaging with subject matter experts to uncover market limitations and identify where Causal AI can add value.

– Acting as a technical expert in client meetings, conducting demos, and coordinating platform trials to showcase the business value of their solutions.

– Defining technical deliverables and ensuring customer success during the pre-sales period.

– Identifying upselling and cross-selling opportunities within their customer base.

– Collaborating with commercial, product, and engineering teams to ensure customer priorities are met, delivering ROI and success in the pre-sales process.

– Bachelor’s degree or higher in Computer Science, Engineering, or related fields.

– 2+ years of pre-sales experience at an enterprise analytics company or consulting experience.

– Proven track record in supporting large enterprise software deals.

– Experience with ML/AI technologies.

– Domain expertise in one or more of the following verticals: Retail, FMCG, Banking, Manufacturing, Marketing Analytics, Consumer Goods, Supply Chain.

– Strong commercial awareness and the ability to influence and guide senior stakeholders on technical solutions.

– A creative, problem-solving approach and motivation driven by business growth.

– Ability to work effectively in a diverse and complex organization, engaging with multiple verticals.

You’ll be at the forefront of AI innovation, working to solve real-world business problems with cutting-edge technology. They offer significant opportunities for personal and professional growth, a collaborative work environment, and the chance to make a tangible impact on leading businesses globally.

**Apply Now:**

If you’re a strategy consultant with strong platform analytics and AI experience or have worked in an enterprise analytics company, ready to take on an exciting challenge and drive real business value, they want to hear from you!

Their enterprise platform goes beyond predictions and provides insights around AI and suggested actions that directly improve business outcomes for leading businesses in asset management, banking, retail, supply chain, telecoms, utilities, etc. Off the back of Series-A Funding, they are growing at a phenomenal rate!

The Senior Data Scientist will be working on the development of AI-driven models and decision applications using their technology to directly impact client business needs.

You will work alongside researchers, engineers, and executives and work directly with their customers to solve their client’s most pressing business needs

Key attributes of the suitable Senior Data Scientist include:

• At least 3 years of experience in a commercial data science role
• Strong communication skills with the ability to explain to both technical and non-technical stakeholders
• Experience in Retail, Supply Chain, Financial Services, Telecoms, Public Sector, etc.

Their enterprise platform goes beyond predictions and provides insights around AI and suggested actions that directly improve business outcomes for leading businesses in asset management, banking, retail, supply chain, telecoms, utilities, etc. Off the back of Series-A Funding, they are growing at a phenomenal rate!

The Data Scientist will be working on the development of AI-driven models and decision applications using their technology to directly impact client business needs.

You will work alongside researchers, engineers, and executives and work directly with their customers to solve their client’s most pressing business needs

Key attributes of the suitable Data Science Consultant include:

• At least 2 years experience in commercial data science
• Strong communication skills with the ability to explain to both technical and non-technical stakeholders
• Experience in working in a consulting environment/willingness to work with prospective clients

Their enterprise platform goes beyond predictions and provides insights around AI and suggested actions that directly improve business outcomes for leading businesses in asset management, banking, retail, supply chain, telecoms, utilities, etc. Off the back of Series-A Funding, they are growing at a phenomenal rate!

The Data Scientist will be working on the development of AI-driven models and decision applications using their technology to directly impact client business needs.

You will work alongside researchers, engineers, and executives and work directly with their customers to solve their client’s most pressing business needs

Key attributes of the suitable Data Scientist include:

• At least 18 months experience in a commercial data science role
• Strong communication skills with the ability to explain to both technical and non-technical stakeholders
• Experience in Retail, Supply Chain, Financial Services, Telecoms, Public Sector, etc.