Lead Data Scientist - Data Cloud Acceleration

Zeta Global; London; Hybrid; GBP 75,000 - 85,000; Full time

Job summary

A leading marketing technology firm in London seeks an experienced machine learning expert to join their Data Cloud Acceleration team. The role focuses on end-to-end ML product ownership, from prototype to production. Candidates should have strong Python skills and a familiarity with various ML frameworks. This is a hybrid role offering flexibility and a competitive salary range of £75,000 to £85,000.

Benefits

Workplace culture of trust and belonging

Colleagues with shared goals

Flexibility to work where you think best

Qualifications

• Ability to translate growth ideas into metrics and experiments.
• Experience with rapid prototyping and productionizing models.
• Track performance and retrain models as necessary.

Responsibilities

• Frame growth ideas into actionable experiments.
• Build and refine ML models and services.
• Make models self-serve for analysts and engineers.
• Educate team members on ML practices.

Skills

End to end ML product ownership

Fluency in Python

Experience with LLM or diffusion models

Comfort with MLOps stacks

SQL proficiency

Grounding in statistics

Version control and CI/CD

Job description

WHO WE ARE

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform - powered by one of the industry's largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.

About the team

We're a small band of business savvy technologists who treat machine learning as a means, not an end. Our charter: find revenue shaping opportunities, ship the first working model or service in days or weeks, watch how the market reacts, then double down-or pivot-fast. Ego takes a back seat to curiosity, and "good enough for now" often beats "perfect but late."

What you'll do

• Frame & focus. Translate fuzzy growth ideas into moldeable problems, pick the metrics that matter, and design bite-sized experiments to learn quickly.

• Build fast, in or out of the box. Finetune a foundation model when it's the 80percent solution; spin up a from scratch architecture only when the use case truly needs it.

• Own the full lifecycle. Prototype in notebooks, productionize via Python APIs or lightweight microservices, and wire up offline scoring, real-time inference, and monitoring.

• Make it self-serve. Wrap models in simple endpoints, SDKs, or SQL functions so analysts and engineers can self select the magic without a helpdesk ticket.

• Instrument & iterate. Track performance drift, cost, and business lift; retrain or retire ruthlessly based on evidence.

• Teach the village. Run demos, share code snippets, and mentor teammates on pragmatic ML patterns that survive first contact with customers.

Preferred experience (great to have, but not required)

• End to end ML product ownership-from prototype notebook to cloud native service

• Fluency in Python with libraries such as scikitlearn, PyTorch, TensorFlow, XGBoost, LightGBM

• Experience choosing and finetuning foundation/LLM or diffusion models when they're the quickest path to value

• Comfort with feature stores, vector databases, and MLOps stacks (Airflow/Prefect, MLflow, Kubeflow, SageMaker, Vertex, or equivalents)

• Both batch and low latency serving patterns (REST, gRPC, or streaming)

• SQL that hunts for signal in messy data and A/B results

• Solid grounding in statistics and experimental design, plus the storytelling chops to explain lift to non-data partners

• Version control, CI/CD, and a bias toward shipping thin vertical slices over monoliths

You'll thrive here if you...

• Think "impact > model elegance." You pick the simplest approach that moves the KPI.

• Prototype loudly. You'd rather show a working demo than a 40page deck.

• Stay humble. If a spreadsheet baseline wins, you celebrate-and then raise the bar.

• Translate effortlessly. You can chat GPU kernels at noon and revenue funnels at 12:05.

• Love ambiguity. Blank whiteboards signal possibility, not paralysis.

Why join Zeta's Data Cloud Acceleration team

• Velocity. Your models meet customers in weeks, not quarters.

• Tool freedom. Choose the stack that fits the problem-no six month procurement saga.

• Breadth. Projects jump from ad-tech optimization to identity resolution to GenAIpowered personalization.

• Colleagues who get it. Sharp minds, low egos, and a shared hunger for measurable business results.

• Global flexibility. Work where you think best-our culture is built for distributed teams.

This is a hybrid role based out of our London, UK office.

SALARY RANGE

The salary range for this role is 75,000 - 85,000 GBP, depending on location and experience.

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual's sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.

We're committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here: https://zetaglobal.com/blog/a-look-into-zetas-ergs/

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases

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