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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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Data Scientist – Inventory & Pricing Analytics

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

The Company

A global content powerhouse is building a next-generation analytics hub, reshaping how millions interact with digital media across publishing, audio, and out-of-home platforms. With data at the core of their strategic direction, they are expanding their team and hiring a Data Scientist to focus on optimising one of their largest revenue streams-advertising inventory.

The Role

As a Data Scientist – Inventory & Pricing Analytics, you will play a pivotal role in optimising the company’s advertising inventory, pricing models, and revenue performance. You will work across datasets covering sales activity, inventory levels, supplier lead times, and customer demand to develop predictive models that inform effective pricing and stock management strategies.

This role demands both technical acumen and commercial awareness, as you’ll directly impact profitability through smarter pricing, stock optimisation, and predictive inventory management.

Key Responsibilities:

• Develop predictive and statistical models to optimise inventory management, pricing strategies, and advertising sales performance.

• Analyse inventory turnover, sales rates, supplier lead times, and customer demand to inform stock and order management decisions.

• Create dynamic pricing models based on supply, demand, seasonality, and campaign data.

• Deliver actionable insights that maximise revenue opportunities across multiple media channels.

• Collaborate with commercial, sales, and supply teams to embed data-driven decision-making across the business.

• Build scalable, reusable models and frameworks to inform long-term inventory and pricing strategy.

Skills & Experience:

• Strong statistical modelling and predictive analytics expertise.

• Proficiency in SQL and Python (or R) for data manipulation and model development.

• Experience working with commercial, sales, or inventory datasets.

• Strong stakeholder management skills with the ability to translate complex data into clear commercial recommendations.

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

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Head of Data Science & Analytics

£100,000-£120,000

Manchester (Hybrid)

The Company

A global content leader is establishing a cutting-edge analytics hub to revolutionise how millions engage with digital media. Operating across publishing, audio, and out-of-home platforms, they create content for some of the most recognisable consumer brands in the UK. With a vast, intricate dataset spanning audience behaviour, advertising effectiveness, and engagement trends, they are now seeking a Head of Data Science & Analytics to spearhead this transformation.

This is a rare, high-impact opportunity to build a centre of excellence within a business where data will directly drive content strategy, monetisation, and organisational direction.

The Role

As Head of Data Science & Analytics, you will architect and deliver predictive modelling and analytics strategies to enhance audience engagement and optimise revenue streams. You will lead a growing team specialising in digital analytics, revenue optimisation, and audience segmentation.

You will operate as both a strategic advisor and a technical authority-partnering closely with product, editorial, and commercial stakeholders while embedding scalable, best-in-class data science practices throughout the organisation.

Key Responsibilities:

• Lead and develop a high-performing team of data scientists, analysts, and engineers across multiple analytics domains.

• Define, implement, and evangelise best practices across product, digital, revenue, and audience analytics.

• Oversee the design and deployment of predictive and statistical models, with particular emphasis on inventory management, customer behaviour analysis, and campaign optimisation.

• Build reusable frameworks for experimentation, dynamic pricing, and targeted content strategies.

• Partner with senior stakeholders to ensure data-driven insights are actionable and integrated into key strategic decisions.

• Drive cultural and organisational change to enhance data-driven decision-making capabilities across the business.

• Own the UK analytics roadmap while fostering collaboration across European markets.

• Advise and influence at C-suite level, delivering insights that materially impact commercial outcomes.

Skills & Experience

Essential:

• Minimum of 8 years’ experience in data science, analytics, or insight leadership roles.

• Expertise in SQL, A/B testing methodologies, and building statistical or predictive models.

• Proven success leading cross-functional teams within product, content, or commercial analytics environments.

• Strong stakeholder management capabilities, particularly in fast-paced, dynamic organisations.

• Demonstrated ability to develop talent and embed a high-performance, data-centric culture.

• Ability to translate complex data into clear, commercially actionable narratives for non-technical stakeholders.

• Prior experience within media, publishing, audio, or entertainment sectors.

Benefits

• Salary: Up to £120,000

• Hybrid Working: 2 days per week onsite in Manchester

How to Apply

Please send your CV to Daniel Abbasi at Harnham using the Apply link on this page or connect with Daniel directly to explore the opportunity in more detail.

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Data Scientist – 2 days a week in Manchester

We are working with a global media business who are looking to add a Head of Data Science to their growing team. The company have presence across the UK & EU and are looking to expand their network further.

Key Requirements:

• Python & SQL skills
• Segmentation & Propensity modelling
• Statistics – Linear Regression
• Strong communication and stakeholder skills

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Head of Data Science – 2 days a week in Manchester

We are working with a global media business who are looking to add a Head of Data Science to their growing team. The company have presence across the UK & EU and are looking to expand their network further.

Key Requirements:

• Python, SQL skills
• Segmentation, Customer Data skills
• Management skills
• Experience working within Media

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Director of Data Science – Pricing, Lead Scoring & Personalization

Location: San Francisco (Remote Eligible)

Salary: $250-280k base + equity

We are looking for a Director of Data Science to lead a high-impact team focused on pricing optimization, lead scoring, and customer personalization for a rapidly growing travel platform backed by top investors. This role is ideal for a data science leader who can define strategy, develop predictive models, and drive measurable business impact through advanced analytics and machine learning.

Key Responsibilities:

• Lead and scale a high-performing team of data scientists and analysts, fostering a culture of experimentation, collaboration, and innovation.
• Develop dynamic pricing models that optimize revenue, improve conversion rates, and enhance market competitiveness.
• Enhance lead scoring and customer personalization by building predictive models that identify high-value leads, optimize sales funnels, and improve user experiences.
• Design and analyze A/B tests, causal inference models, and other experimentation techniques to measure and optimize product, marketing, and operational decisions.
• Establish frameworks for data quality, governance, and self-service analytics to ensure consistency and accessibility across the company.
• Collaborate with Product, Finance, Marketing, Sales, and Operations to define key business metrics, analyze performance, and provide strategic recommendations to executive leadership.

Qualifications:

• 10+ years of experience in data science or analytics, including at least 5 years in leadership roles.
• Expertise in predictive modeling, dynamic pricing, and lead scoring using machine learning and statistical methods.
• Strong experience with SQL, Python, R, and BI tools such as Looker, Tableau, or Sigma.
• Proven ability to translate data insights into business strategy and influence executive stakeholders.
• Deep knowledge of A/B testing, experimentation, and customer segmentation.
• Industry experience in B2B SaaS or travel is a strong plus.
• Bachelor’s degree in a technical field required; Master’s or MBA preferred.

This is an opportunity to shape the data science strategy at a fast-growing company, driving decisions that will transform pricing, customer engagement, and business growth.

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