At a Glance
- Tasks: Lead Analytics and Data Science, shaping strategy and driving data-driven decision making.
- Company: Well-known consumer-focused organisation with a collaborative and entrepreneurial culture.
- Benefits: Salary up to £140,000, competitive benefits, and hybrid working in London.
- Other info: Opportunity to influence and build a critical data capability in a dynamic environment.
- Why this job: Make a real impact by uniting teams and enhancing data literacy across the organisation.
- Qualifications: Leadership experience in Analytics and Data Science, strong commercial background, and technical credibility.
The predicted salary is between 70000 - 90000 £ per year.
This is a senior leadership role created to bring clarity, focus and direction to Analytics and Data Science at a pivotal point in the organisation’s data journey. You will take ownership of a newly unified function, with the opportunity to shape strategy, improve how data is used across the business and ensure analytics and data science deliver clear, measurable value.
The Company
They are a well known, consumer focused organisation with a central team that operates in a lean, agile way. While the wider group spans multiple businesses, this role sits at the centre, influencing rather than controlling. The culture is collaborative and entrepreneurial, with a strong emphasis on customer experience and commercial outcomes.
The Role
You will lead Analytics, Insight and Data Science as a single capability, working closely with senior stakeholders and peers across data, technology and the wider business. Your responsibilities will include:
- Defining and delivering the Analytics and Data Science strategy aligned to broader data and AI priorities.
- Uniting analytics and data science teams into a cohesive, high performing function.
- Driving self service analytics adoption and improving data literacy across the organisation.
- Overseeing the redesign and rationalisation of dashboards and reporting.
- Guiding the development and deployment of predictive models and machine learning solutions.
- Acting as a senior advisor to leadership teams, championing data driven decision making.
- Partnering with data product, engineering, governance and architecture teams to enable scalable delivery.
- Building a culture focused on experimentation, quality and business impact.
Your Skills and Experience
To be successful in this role, you are likely to bring:
- Leadership experience across both Analytics and Data Science teams.
- Strong commercial experience within consumer facing or digital organisations.
- A track record of delivering data transformation and improving data adoption.
- Experience rolling out self service analytics at scale.
- Exposure to deploying data science or machine learning models into production.
- The ability to influence senior stakeholders and communicate complex ideas clearly.
- Technical credibility across analytics, data science, SQL and Python or R.
- Experience working with modern cloud data platforms and BI tools.
What They Offer
Salary up to £140,000 base. A competitive benefits package. A senior role with visibility and influence across the organisation. Hybrid working from a central London office. The chance to shape and mature a critical data capability.
How to Apply
If you are a strategic data leader looking for a role with real scope to influence and build, please apply to learn more.
Head of Data Science And Analytics in City of London employer: Harnham
As a leading consumer-focused organisation based in London, we pride ourselves on fostering a collaborative and entrepreneurial work culture that prioritises customer experience and commercial success. In this pivotal Head of Data Science and Analytics role, you will have the unique opportunity to shape our data strategy and drive impactful change, all while enjoying a competitive salary and benefits package, along with the flexibility of hybrid working. Join us to lead a high-performing team and make a significant contribution to our data journey.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data Science And Analytics in City of London
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We think you need these skills to ace Head of Data Science And Analytics in City of London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Harnham, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Harnham. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Harnham
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Harnham!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
