National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Junior Analytics Engineer

Synpulse Schweiz AG
London
3 months ago
Applications closed

Related Jobs

View all jobs

Analytics Consultant

Snr. Data Engineer

Senior Analytics and Data Engineer (multiple openings)

Senior Azure Data Engineer - Remote

Senior Azure Data Engineer - Remote

Senior Azure Data Engineer - Remote

Synpulse is aglobal professional services company and a valued partner of leading players inthe financial services and related industries. We optimise the proximity to ourclients and deep domain expertise to create sustainable value using technologyas a business driver. Leveraging our strong network of over 100 ecosystempartners, we accompany our clients throughout their transformation journey –from strategy and development to implementation and management. With our techpowerhouse, Synpulse8, we collaborate with our clients to co-create digitalexperiences with innovative technologies and proprietary methods. Synpulse ispowered by the passion and commitment of its more than 1200 employees, who comefrom over 30 countries.

About the job: 

Design and develop robust, scalable, and efficient data solutions using industry best practices and cutting-edge technologies. Collaborate with stakeholders to understand and translate business requirements into technical specifications and actionable plans. Design and develop solutions systems that adhere to industry standards and regulatory requirements. Work with cutting-edge data products and platforms, notably Palantir Foundry and Palantir AIP Participate in testing, release cycle, and QA processes relating to client deployments. Collaborate with internal and external stakeholders to troubleshoot issues, implement solutions, and successfully deliver software projects within established timelines and budgets. Stay abreast of emerging technologies, trends, and advancements in the financial services industry to drive innovation and maintain our competitive edge.

About you:

You hold a Bachelor's degree in Computer Science, Data Science, Actuarial Sciences or 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 have strong analytical and problem-solving skills, with the ability to think critically and strategically about complex technical challenges. You have experience writing data transformation and application code, particularly in Python and Typescript/Javascript. You have experience with Spark and big data technology. You are familiar with REST APIs and cloud technologies (AWS, Azure, Google Cloud). Ideally, you have experience working with LLMs and LangChain. Ideally, you have a good working knowledge of Agile software delivery frameworks. Ideally, you have experience leading or working on projects across teams and regions. You have knowledge of Financial Services and/or the Insurance industry.

Why us:

A unique opportunity to shape the UK office through participating in internal initiatives (CSR, D&I, recruitment, marketing) A comprehensive onboarding program that offers you time and resources to broaden your skillset and orientate yourself to Synpulse’s values and methods Continual and comprehensive learning and development through our Academy Program Innovative team bonus scheme following our "One Spirit" approach Hybrid working environment

Alongside a competitive salary, you'll get lots of other great benefits too:

25 days annual leave plus bank holidays in England Pension: 6% employer contribution and 3% employee contribution Paid time off for volunteering (2 days per year) Private medical insurance with dental care through Vitality Life insurance Enhanced maternity and paternity leave Employee Assistance Programme with 24/7 mental health support Interest free season ticket loan Access to the Cycle scheme and Tech scheme

Your documents to start the process:

CV

Do you appreciate the spirit of a growing international company with Swiss roots and a strong corporate culture? Then we look forward to receiving your online application at

Our people are our most valuable asset. They drive our growth and anchor our success. They are experts, thought leaders, and trusted partners of our global clients. The Synpulse OneSpirit is reflected in our people and unrivaled culture of collaboration, inclusion, entrepreneurship, and fun. We are good corporate citizen in our communities and we celebrate success together with our Synpulse crypto token. Client ServingTechnology ConsultingEntry LevelHybrid Design and develop robust, scalable, and efficient data solutions using industry best practices and cutting-edge technologies. Collaborate with stakeholders to understand and translate business requirements into technical specifications and actionable plans. Design and develop solutions systems that adhere to industry standards and regulatory requirements. Work with cutting-edge data products and platforms, notably Palantir Foundry and Palantir AIP Participate in testing, release cycle, and QA processes relating to client deployments. Collaborate with internal and external stakeholders to troubleshoot issues, implement solutions, and successfully deliver software projects within established timelines and budgets. Stay abreast of emerging technologies, trends, and advancements in the financial services industry to drive innovation and maintain our competitive edge.

You hold a Bachelor's degree in Computer Science, Data Science, Actuarial Sciences or 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 have strong analytical and problem-solving skills, with the ability to think critically and strategically about complex technical challenges. You have experience writing data transformation and application code, particularly in Python and Typescript/Javascript. You have experience with Spark and big data technology. You are familiar with REST APIs and cloud technologies (AWS, Azure, Google Cloud). Ideally, you have experience working with LLMs and LangChain. Ideally, you have a good working knowledge of Agile software delivery frameworks. Ideally, you have experience leading or working on projects across teams and regions. You have knowledge of Financial Services and/or the Insurance industry. Full-time

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.

The Ultimate Assessment-Centre Survival Guide for Machine Learning Jobs in the UK

Assessment centres for machine learning positions in the UK are designed to reflect the complexity and collaboration required in real-world ML projects. From psychometric assessments and live model-building tasks to group data science challenges and behavioural interviews, recruiters evaluate your statistical understanding, coding skills, communication and teamwork. Whether you specialise in deep learning, reinforcement learning or NLP, this guide offers a step-by-step approach to excel at every stage and secure your next ML role.

Top 10 Mistakes Candidates Make When Applying for Machine-Learning Jobs—And How to Avoid Them

Landing a machine-learning job in the UK is competitive. Learn the 10 biggest mistakes applicants make—plus tested fixes, expert resources and live links that will help you secure your next ML role. Introduction From fintechs in London’s Square Mile to advanced-research hubs in Cambridge, demand for machine-learning talent is exploding. Job boards such as MachineLearningJobs.co.uk list new vacancies daily, and LinkedIn shows more than 10,000 open ML roles across the UK right now. Yet hiring managers still reject most CVs long before interview—often for avoidable errors. Below are the ten most common mistakes we see, each paired with a practical fix and a live resource link so you can dive deeper.