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Senior Data Scientist

Location: Remote-first (UK-based)
Salary: £70,000

The Company

A Series D tech scale-up is reshaping the travel and hospitality industries through advanced machine learning and forecasting. Purpose-built for this space, their platform leverages deep learning to drive revenue optimisation, automation, and real-time analytics. With a growing client base of major global travel brands, they’re hiring exceptional talent to push the boundaries of what’s possible in commercial strategy.

The Role

As a Senior Data Scientist within the Forecasting Algorithms team, you’ll design and deploy high-frequency demand forecasting models that directly support pricing decisions. You’ll own the full development lifecycle-from modelling to deployment-while collaborating closely with science, product, and engineering stakeholders.

This is a hands-on role suited to someone who thrives on building, testing, and deploying complex statistical models in a production environment. You’ll work in a modern MLOps setup, contributing to libraries and frameworks used across the company’s data science organisation.

Key Responsibilities:

• Design and deploy time series forecasting models with a strong focus on accuracy and scalability

• Improve existing model performance and drive innovation through new methodologies

• Develop internal ML and forecasting libraries using Python

• Translate product goals into technical solutions in collaboration with leadership

• Implement validation frameworks, unit tests, and monitoring pipelines

• Stay current with advances in machine learning and apply them where appropriate

Tech Stack:

• Python (Pandas, Polars, SciPy, Scikit-learn, NumPy)

• Dagster, Argo, GCP

• Kibana, Elastic

• DevOps-first approach for model deployment

Skills & Experience:

Essential:

• Strong background in statistics, machine learning, and time series forecasting

• Experience with modern ML models (e.g. transformers, CNNs, attention mechanisms)

• Proficiency in writing production-level Python code

• Familiarity with CI/CD practices, testing, and model validation

• Confident working across teams and taking ownership of delivery

• Strong communication and problem-solving skills

Desirable:

• Experience in demand forecasting or operations research

• Familiarity with Bayesian methods, Monte Carlo simulations, or reinforcement learning

• Exposure to high-scale SaaS or B2C products

Why Apply?

• Build forecasting systems powering global commercial strategies

• Collaborate with a world-class data science team

• Up to £70,000 + equity in a high-growth AI company

• Excellent benefits: private healthcare, mental health support, nursery benefit (UK), and generous PTO

How to Apply

To apply, please send your CV to Daniel Abbasi via the Apply link on this page.

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Data Scientist – Forecasting

REMOTE

We’re looking for a Data Scientist to join a global company to work within the forecasting team. You will develop detailed and accurate forecasting models to support the customer and pricing optimisation teams to shape the future of data-driven decision making.

Responsibilities

• Analyse and interpret model behaviour, delivering actionable insights to both internal stakeholders and external clients.
• Design and build robust machine learning models for demand forecasting at scale.
• Contribute to a growing library of forecasting algorithms, leveraging tools from operations research, statistics, and computer science.
• Validate model improvements through a rigorous testing framework, similar to CI/CD practices in software development.

Requirements:

• PhD or Masters in a related field
• Python
• Pandas, Scikit-learn, NumPy
• GCP preferred
• Forecasting experience (nice to have)

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Director of Data Science
Location: Preferably Bay Area (1-2 days/week in office), but remote with travel is possible
Salary: $240,000-$275,000 base + equity
Work Authorization: U.S. Citizen or Green Card required

Overview:
A high-growth tech company in the business travel space is seeking a Director of Data Science to lead a core team focused on machine learning, pricing, personalization, and lead conversion. This role demands strong people leadership, technical depth, and a startup-ready mindset.

Key Responsibilities:

• Lead and manage a team of senior and staff data scientists.

• Drive roadmap development for data science initiatives across product areas.

• Collaborate with engineering, analytics, and product teams.

• Guide strategic projects like lead scoring and pricing optimization.

• Set high-performance standards, manage performance, and build team structure.

Requirements:

• 10+ years of total experience, including 4+ years in leadership roles.

• Proven ability to manage and grow high-performing teams.

• Hands-on knowledge of machine learning (e.g., Python, SQL) and ability to engage in technical discussions.

• Experience working closely with senior leadership and cross-functional stakeholders.

• Strong performance management skills with a willingness to make tough decisions.

Preferred:

• Background in fast-paced, high-growth environments.

• Familiarity with pricing, personalization, or search algorithms.

• Experience scaling immature functions and leading through ambiguity.

Compensation:
Equity offered (typically 20,000-30,000 options/year). Four-year vesting with a one-year cliff.

Interview Process:

1. Initial conversation with senior team member

2. Leadership interview

3. Take-home technical exercise + presentation

4. Final interview with executive leadership

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Senior Data Scientist – Product

Fully Remote

Green Card OR U.S. Citizens ONLY

Comp: 180K-225K Base Salary

We’re looking for a bold and entrepreneurial Senior Data Scientist to join a high-impact team focused on growth and search optimization. In this role, you’ll drive core product initiatives like search relevance, personalization, and onboarding funnels, directly influencing user experience and company growth.

You’ll work on a small, agile team reporting directly to company leadership, with immediate ownership of key projects. From building ranking algorithms and next-best-action models to deploying deep learning solutions in production, you’ll shape the roadmap for search and lodging at scale. This is a high-autonomy role for someone who thrives in a fast-paced, startup environment and wants to help build innovative systems from the ground up.

What You’ll Do:

• Own and lead search-related product initiatives end-to-end

• Build and deploy deep learning models (e.g., ranking, personalization)

• Identify and execute high-ROI growth levers across the user funnel

• Collaborate with cross-functional partners in Product, Engineering, and Analytics

• Mentor junior talent and help scale the data science function

• Contribute to the team roadmap and help define technical direction

What You’ll Bring:

• Proficiency in Python (pandas, scikit-learn), SQL, and deep learning frameworks (PyTorch Lightning preferred)

• Experience deploying ML models to production, ideally in partnership with engineering teams

• Cloud experience (AWS preferred) and Airflow for ML pipelines

• Background in ranking systems, personalization, or recommendation engines (preferred)

• Strong communication skills and the ability to operate independently in ambiguous settings

• Track record of impact in high-growth tech startups or similar fast-paced environments

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SENIOR/PRINCIPLE DATA SCIENTIST

MIAMI/FLORIDA

4 DAY IN OFFICE REQUIREMENT

UP TO $190k

Full Right to Work in the U.S.

We’re partnering with a leading global food and beverage brand that is embarking on a transformative journey to become a data-driven organization with the goal of better leveraging advanced analytics solutions in the QSR industry.

The Role

This would be the first hire for a Data Science team and responsible for helping shape the future of data science in this company

• Building a function from the ground up
• Hiring, building and scaling a team of data science professionals
• Drive marketing initiatives, customer segmentation and customer value assessment
• Collaborate with data and software engineers to support data science solutions through the entire product lifecycle, including data wrangling, exploratory analysis, hypothesis testing, modeling, rapid prototyping, business validation and testing, and deployment.
• Apply a variety of advanced analytical techniques including predictive modelling, machine learning, time series analysis, simulation, and optimization to address specific business challenges.

Your Skills & Experience

• 6+ years working in core Data Science roles ideally across retail
• Proficient in Python & SQL
• Experience leveraging first party data (combined with 3rd party) to create an addressable audience-based media segmentation
• Proven experience as both an IC and a manager
• Experience working with a variety of statistical and modeling techniques including hypothesis testing, supervised learning (classification and regression), forecasting, unsupervised clustering, and optimization

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Data Scientist
Up to £90,000
Hybrid – Manchester (2x days per week).

THE COMPANY
I’m excited to announce an exciting opportunity for a Data Scientist to join a global media organisation.

THE ROLE
In this role, you will take the lead on a variety of projects aimed at optimising revenue, shaping pricing strategies, and conducting competitor analysis.

SKILLS AND EXPERIENCE
SQL,
Python
Statistical Modelling – Regression, propensity etc
A/B testing

APPLY
Send an email to register your interest

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Data Science Manager – REMOTE

We are working with a fintech start up looking for a Data Science Manager to join the team. You will manage a team of 5 Data Scientists in both technical and personal development. You will lead on forecasting and regression models as well as deployment using skills such as Docker and Kubernetes.

Requirements:

• 5+ years Data Science experience
• 2 years management experience
• Forecasting, Time Series & Regression modelling
• Web scraping
• Software development skills
• Python, SQL, Docker, Kubernetes
• Experience working in a fintech or in a similar field

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Data Scientist – Digital Audience Analytics

Location: Manchester (Hybrid – 2 days onsite)
Salary: £60,000-£90,000

The Company

A global leader in multimedia content creation is expanding its advanced analytics hub to drive smarter, more personalised audience engagement. Operating across publishing, audio, and outdoor media, this organisation produces content for the UK’s best-loved consumer brands. They are now recruiting a Data Scientist – Digital Audience Analytics to unlock deeper insights into how audiences interact with their digital ecosystem.

The Role

As a Data Scientist – Digital Audience Analytics, you will be instrumental in understanding customer engagement patterns-how often audiences interact, where, and with what content. Your models and insights will inform programme targeting, communication strategies, and personalisation initiatives to maximise reach, loyalty, and conversion.

You will work closely with product, marketing, and content teams to ensure data shapes every customer touchpoint.

Key Responsibilities:

• Develop models to predict customer engagement patterns, channel preferences, and lifecycle behaviour.

• Analyse digital footprint data (page views, clicks, time spent, etc.) to uncover trends and opportunities for personalisation.

• Identify key audience segments based on behavioural, demographic, and transactional data.

• Support targeting strategies by developing recommendation systems and engagement scoring models.

• Present findings and actionable insights to product, marketing, and content teams.

• Help build experimentation frameworks to continuously refine audience strategies.

Skills & Experience:

• Strong background in predictive modelling, segmentation, and customer analytics.

• Skilled in SQL, Python, and digital analytics platforms (e.g., Google Analytics, Looker).

• Experience working with digital customer journey data across web, mobile, and app ecosystems.

• Ability to communicate data-driven insights clearly to non-technical stakeholders.

• Familiarity with recommendation engines, user journey analysis, or churn prediction models is advantageous.

Register your interest by sending your CV to Daniel Abbasi via the apply link on this page.

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