Analytics Engineer- Palantir Practice

Synpulse8; London; On-site; GBP 50,000 - 90,000; Full time

Job summary

Join a dynamic team at a globally recognized management consulting firm as an Analytics Engineer, where you'll design and implement cutting-edge data and AI solutions for financial services clients. This role offers the opportunity to collaborate with cross-functional teams, mentor junior members, and stay at the forefront of emerging technologies. If you're passionate about driving business success through innovative data solutions and have a strong background in technology projects, this is the perfect opportunity for you.

Qualifications

• Minimum 2 years of experience in technology projects within financial institutions.
• Strong analytical and problem-solving skills with a strategic mindset.

Responsibilities

• Design and develop scalable data solutions using Palantir and other technologies.
• Collaborate with stakeholders to translate business requirements into technical plans.

Skills

Python

Data Transformation

Analytical Skills

Problem-Solving

Communication Skills

Education

Bachelor's degree in Computer Science

Bachelor's degree in Actuarial Sciences

Bachelor's degree in Engineering

Tools

Palantir Foundry

Palantir AIP

Spark

Agile

Job description

We are an established, globally active management consulting company with offices in Switzerland, Germany, Austria, UK, USA, Singapore, Hong Kong, the Philippines, Australia, Indonesia, and India. We are a valued partner to many of the world's largest international financial services and insurance firms. We support our clients at all project management stages, from the development of strategies and operational frameworks to technical implementation and handover. Our expertise in business and technology, combined with our methodic approach, enables us to create sustainable added value for our clients' businesses.

About the job:

We seek a highly skilled and motivated Analytics Engineer to join our dynamic team. You will play a pivotal role in designing, developing, and implementing data and AI solutions tailored to the unique needs of our financial services clients. As an Analytics Engineer, you will collaborate closely with cross-functional teams to deliver high-quality, scalable, and intuitive Data and Gen AI workflows that enhance our clients' operational capabilities and drive business success. In this role, you will interact with clients, Business Analysts, and Engineers, analyzing and validating business requirements and translating them into detailed data and analytics solutions. Key responsibilities include:

• Design and develop robust, scalable, and efficient data solutions using industry best practices and cutting-edge technologies, notably Palantir Foundry and Palantir AIP.
• Collaborate with stakeholders to understand and translate business requirements into technical specifications and actionable plans.
• Architect, develop, and implement complex software solutions leveraging data and GenAI capabilities.
• Provide technical guidance and mentor junior team members to foster a culture of continuous learning and improvement.
• Stay abreast of emerging technologies, trends, and advancements in the financial services industry to drive innovation and maintain our competitive edge.

About you:

• Ideally, you have a minimum of 2 years of work experience delivering technology projects within financial institutions or enterprise firms.
• You hold a Bachelor's degree in Computer Science, Actuarial Sciences, Engineering, or a quantitative field.
• You have excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and communicate technical concepts to non-technical stakeholders.
• You possess strong analytical and problem-solving skills, with the ability to think critically and strategically about complex technical challenges.
• You are a fast learner, comfortable iterating quickly in uncertain environments.
• You have strong product intuition and an understanding of product management practices.
• You have experience writing data transformation and application code, particularly in Python.

Great to have:

• Experience or interest working with Palantir platforms.
• Experience with Spark and big data technologies.
• Active experimentation with LLMs and LangChain.
• Good working knowledge of Agile software delivery frameworks.
• Knowledge of financial services and/or the insurance industry.