Data Scientist

Anaplan; Manchester; Remote; GBP 70,000 - 110,000; Full time

Job summary

Anaplan seeks a versatile Data Scientist to join the Functional Analytics team. You will design and develop ML engines integrated into Anaplan Applications to solve enterprise problems, crafting scalable pipelines and actionable insights.

You’ll lead customer onboardings, customize ML models for client logic, and work with Data Science and Engineering partners to productionize models and maintain performance.

Qualifications

• Proven data science experience from prototype to production.
• Strong modeling with ML and time-series forecasting.
• Production-grade Python coding with CI/CD practices.
• Experience with Snowflake/Databricks data pipelines and dbt.
• Cloud experience (AWS/GCP/Azure) and Parquet data formats.

Responsibilities

• Lead technical deployment of ML engines for new clients with Customer Success and Engineering.
• Design scalable analytic capabilities that integrate into Anaplan Applications.
• Develop robust ML models for demand sensing and cold-start forecasting.
• Build scalable data pipelines (SQL/Python) to extract temporal signals from retail data.
• Collaborate with engineers to deploy production ML pipelines using MLOps tools.

Skills

Data Science

Predictive Modeling

Python Proficiency

Data Warehouses

Cloud Infra

MLOps

Time Series Forecasting

Supply Chain Knowledge

Quantitative Degree

Education

MS/PhD in CS/AI/Statistics/Data Science

Tools

LightGBM

XGBoost

PyTorch

dbt

Snowflake

Databricks

MLflow

Optuna

Job description

At Anaplan, we are a team of innovators focused on optimizing business decision‑making through our leading AI‑infused scenario planning and analysis platform so our customers can outpace their competition and the market.

What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.

Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best‑in‑class platform.

Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebratingour wins – big and small.

Supported by operating principles of being strategy‑led, values –based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!

About The Role

We are seeking a versatileData Scientist to join the Functional Analytics team.The core mission of our team is to design and develop new functional analytic capabilities or“engines”that integrate directly into Anaplan Applications to solve complex enterprise business problems.

In this role, you will develop best‑in‑class ML models and pipelines to drive automated, actionable insights at scale. Beyond core development, you will act as a key technical partner for our customers. You will play a highly visible role in driving customer onboardings, getting hands‑on with client data to customize and fine‑tune our MLenginesso they seamlessly adapt to complex business realities and specific customer needs.

Your Impact

• Customer Onboarding & Engine Customization: Lead the technical deployment of our engines for new clients. Partner closely with customers, Customer Success, Product, and Engineering to adapt and customize ML models, ensuring they accurately reflect client‑specific business logic, operational guardrails, and unique data nuances.
• Analytic Engine Development: Design and develop scalable functional analytic capabilities that seamlessly integrate into Anaplan Applications, translating raw customer data into automated, high‑value business insights.
• Advanced Modeling & Timeseries Forecasting: Design, train, and implement robust Machine Learning (LightGBM, XGBoost) and Deep Learning (PyTorch) models specifically focused on complex demand sensing and resolving cold‑start forecasting problems.
• Feature Engineering Pipelines: Build and optimize scalable data pipelines leveraging a hybrid SQL/Python architecture (dbt, Snowflake) to extract rich, localized temporal signals from high‑volume transactional retail data.
• End‑to‑End Deployment (MLOps): Partner with our engineers to transition your models from prototype into scalable, monitored, and reliable production pipelines using tools like MLflow and Optuna.

Your Skills

• Strong hands‑on professional experiencein Data Science, successfully buildingand deployingsystems from prototype to production in a fast‑paced environment.
• Strong predictive modeling foundation: Extensive experience with traditional ML algorithms, Deep Learning frameworks, and complex time‑series forecasting.
• Experience developing production‑grade Python code: High proficiency in Python, Pandas, and modern software practices (testing, clean code, code review, CI/CD).
• Data & Pipeline Expertise: Hands‑on experience optimizing data models and access patterns for modern data warehouses (Snowflake, Databricks) utilizing SQL and transformation tools like dbt.
• Cloud & Data Infrastructure: Experience working with scalable cloud infrastructure (AWS, GCP, or Azure), and handling columnar data formats like Parquet.
• MLOps Exposure: Experience with tools and frameworks for training, tracking, deploying, and monitoring models in production (e.g., MLflow, Optuna, Prefect, or Airflow).
• Background in supply chainforecasting, enterprise AI, or retail analytics
• M.S. or Ph.D. in Computer Science, Artificial Intelligence, Statistics, Data Science, or a related quantitative field.

Our Commitment to Diversity, Equity, Inclusionand Belonging (DEIB)

We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.

Privacy & AI Notice

C andidate data processed during our recruitment activities is handled in accordance with our Candidate Privacy Notice . This may include the use of artificial intelligence or automated tools to assist our team in evaluating qualifications.