Sr Data Scientist

Campaign Monitor
remote, united kingdom
2 months ago
Create job alert

The Company:

Marigold helps brands foster customer relationships through the science and art of connection. Marigold Relationship Marketing is a suite of world-class martech solutions that help marketers create long term customer love and loyalty. Marigold provides the most comprehensive set of use cases for marketers at any level. Headquartered in Nashville, Tennessee, Marigold has offices globally across the United States, Europe, Australia, New Zealand, South America and Central America, as well as in Japan.
 

What You’ll Do:

Collaborate with product, engineering, and data science teams to design, develop, and deploy highly scalable solutions

Work through all phases of the data science life cycle, including data collection, cleaning, analysis, modeling, validation, and deployment

Research, fine-tune, benchmark and align Large Language Models for practical application in digital marketing

Investigate, analyze, and address data quality issues and model performance issues in a timely manner

Deliver technical documentation and reports for use by internal teams, customers, and partners

Conduct exploratory data analysis to identify trends, patterns, and insights that will inform model development

Ideal Qualifications:

Degree in Data Science, Computer Science, Statistics, or a related field, or equivalent combination of education and experience

7+ years of experience in data science, with a focus on deploying models in enterprise, high-scale environments

Advanced understanding of statistical modeling, machine learning algorithms, and data analysis techniques

Proficient in Python, R, or similar languages for data science, and performance tuning of models

Experience working with SQL databases such as MySQL, PostgreSQL, or equivalent

Experience with big data processing tools such as Apache Spark, Databricks, Clickhouse, or equivalent

Excellent communication skills, both verbal and written, with the ability to explain complex technical concepts to non-technical stakeholders

Demonstrated ability to produce clear and concise technical documentation

Nice to Have:

Experience with Large Language Models, Retrieval Augmented Generation, Embeddings, and Vector Databases in a production environment

Experience with real-time data streaming and processing frameworks such as Kafka, Kinesis, or similar

Advanced experience working with distributed computing and big data technologies such as Databricks, Snowflake, Clickhouse or similar

Experience delivering data models and insights at scale, processing and analyzing large datasets in real time

What We Offer: (Required)

The competitive salary and benefits you’d expect!

Generous time off (we call it Open Time Away) as well as paid holidays and a birthday benefit day off.

Retirement contributions. 

Employee-centric and supportive remote work environment with flexibility.

Support for life events including paid parental leave.

Related Jobs

View all jobs

Sr Data Scientist - voice

Sr. Data Scientist, FCGT

▷ 15h Left! Sr. Delivery Consultant - Data Scientist, AWSProfessional Services Israel

Sr Business Development Manager, Advertising Measurement and Data Science (MADS), Amazon Advertising

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.

AI Jobs in the Public Sector: MOD, NHS & Gov Digital Service Opportunities

Artificial intelligence (AI) has rapidly evolved from a niche field of computer science into a transformative force reshaping industries across the globe. From healthcare to finance and from education to defence, AI-driven tools and techniques are revolutionising how we approach problems, improve efficiency, and make data-driven decisions. Nowhere is this transformation more apparent than in the United Kingdom’s public sector. Key government entities, including the Ministry of Defence (MOD), the National Health Service (NHS), and the Government Digital Service (GDS), are increasingly incorporating AI into their operations. Consequently, AI jobs within these bodies are growing both in number and strategic importance. In this comprehensive blog post, we will explore the landscape of AI jobs across the UK public sector, with a close look at the MOD, the NHS, and the Government Digital Service. We will delve into the reasons these organisations are investing heavily in AI, the types of roles available, the essential skills and qualifications required, as well as the salary ranges one might expect. Whether you are a new graduate keen to make a meaningful impact through your technical skills or a seasoned professional looking for your next career move, the public sector offers a wealth of opportunities in AI. By the end of this article, you will have a clearer understanding of why AI is so crucial to the public sector’s success, which roles are in demand, and how you can tailor your application to stand out in a competitive and rewarding job market.

Contract vs Permanent AI Jobs: Which Pays Better in 2025?

n the ever-evolving world of technology, the competition for top talent in artificial intelligence (AI) is intense—and the rewards are significant. By 2025, AI roles in machine learning, natural language processing, data science, and robotics are expected to be among the highest-paid professions within the UK technology sector. As an AI professional, deciding between contracting (either as a day‑rate contractor or via fixed-term contracts) and permanent employment could drastically impact your take‑home pay, job security, and career trajectory. In this article, we will delve into the various types of AI roles in 2025—particularly focusing on day‑rate contracting, fixed-term contract (FTC) roles, and permanent positions. We will compare the earning potential across these three employment types, discuss the key pros and cons, and provide practical examples of how your annual take‑home pay might differ under each scenario. Whether you are already working in AI or looking to break into this booming field, understanding these employment options will help you make an informed decision on your next move.