Company Overview
Harnham provides specialist Data and AI recruitment and staffing services, along with bespoke training solutions, across multiple industry verticals, operating in the UK, the USA and EU – contact us today to discuss your requirements: info@harnham.com Our recruitment and talent teams cover all aspects of the data and AI pipeline, from collection to consumption, across multiple data roles and functions. Whether you need full-time staff, contract talent, specialized training, Data-qualified graduates, or C-suite executives, Harnham Group is equipped to fulfill all your data talent requirements. Our five core services: * ATD – Rockborne – our graduate development arm – deploys expertly trained data consultants, who have gone through an intensive 12-week data training programme. After two years in the scheme, your consultant could become a * Contract / C2C / Freelance: Whether you’re addressing a talent shortage, augmenting a project team, or encountering resource gaps, our specialist consultants offer bespoke interim talent solutions to address your unique challenges and drive success. * Full-Time / Direct Hiring: From early career professionals to senior management, our comprehensive services enable you to unearth outstanding data talent across various specializations, ensuring your organization thrives in the data-driven era. * Executive Search: With our dedicated executive search team and an extensive network encompassing the director to C-suite level, we assist both global corporations and ambitious startups in securing top-tier leadership talent to accomplish their goals.
About the Role:
We are seeking a highly motivated and experienced Lead Data Scientist with a strong background in marketing analytics and data science to join our dynamic, fast-growing startup. This is a unique opportunity to play a pivotal role in shaping the future of data-driven marketing strategies. As the Lead Data Scientist, you will help drive business decisions through data models, predictive analytics, and experimentation, with a strong emphasis on customer acquisition, retention, and long-term growth.
You’ll be joining a data science team that is both technical and business-oriented, working closely with cross-functional teams to optimize marketing efforts, understand customer behavior, and build impactful data models that drive business performance. If you thrive in a high-growth, data-rich environment and are passionate about applying your data science expertise to solve marketing challenges, we want to hear from you.
Key Responsibilities:
- End-to-End Data Science: Build and deploy predictive models, from inception to production, providing actionable insights around demand-supply matching, customer behavior, and marketing strategy.
- Marketing & Experimentation: Design and run A/B and multivariate tests, ad testing, creative optimization, and marketing spend distribution across various channels (e.g., social media, direct mail, TV).
- Customer Acquisition & Retention: Analyze customer data and identify opportunities for increasing customer lifetime value (LTV), improving retention strategies, and optimizing pricing, promotions, and cross-selling.
- Strategic Thinking: Contribute to long-term business strategy, focusing on how data science can improve marketing decision-making, enhance LTV, and reduce churn.
- Collaborate Cross-Functionally: Work closely with marketing, data engineers, and software teams to integrate models into existing systems, improve processes, and provide ongoing feedback to optimize performance.
- Modeling and Reporting: Help build and manage marketing models, including demand prediction, customer segmentation, and incrementality analysis. Leverage cloud-based platforms (AWS/Snowflake/Fivetran) for data pipeline management.
- Ad-hoc Analysis: Conduct detailed analysis of marketing data to uncover trends, track key metrics, and provide insights to business leaders on campaign performance, user behavior, and market trends.
- Portfolio Management: Oversee and manage projects, ensuring timely delivery and alignment with business goals, while providing leadership to junior team members
What We’re Looking For:
- Experience: Minimum 5+ years of hands-on experience in data science, with a focus on marketing or customer-facing products. Experience with consumer goods (CPG), subscription models, or life sciences is a plus.
- Technical Skills:
- Python (for model development and data analysis, no R)
- ETL processes and familiarity with modern data stacks (e.g., Snowflake, AWS, DBT, Fivetran)
- Tableau for data visualization (a dedicated team member handles most dashboarding)
- Ability to build and deploy machine learning models to production
- Business Acumen: Strong understanding of how data science can impact business goals, particularly in marketing. Ability to think strategically about product marketing, customer behavior, and business outcomes.
- Soft Skills:
- Excellent problem-solving abilities and critical thinking
- High adaptability and comfort in an ambiguous, fast-paced environment
- Strong communication skills with the ability to translate complex technical concepts for business stakeholders
- Positive attitude, curiosity, and a collaborative mindset.
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