Data Scientist
Nottingham / £50000 - £60000 annum
INFO
SALARY:
£50000 - £60000
LOCATION
Nottingham
Permanent
Are you a Data Scientist who enjoys building real‑world models that drive commercial decisions, not just experimentation? I'm hiring for a Data Scientist to join a leading data and analytics consultancy working across customer insight, marketing, and predictive modelling.
This is a brilliant opportunity to work on high‑impact data products, combining advanced analytics, business understanding, and client‑facing delivery in a collaborative, product‑focused environment.
The company
This is a well‑established data consultancy that sits at the intersection of data provision, analytics, and product development. They work with high‑volume customer data across sectors like utilities, telecoms, financial services, and charities - using data to solve real commercial problems and drive better decisions.
They've built out a Customer Intelligence Platform, where data science, analytics, and product teams collaborate to create scalable, reusable data products.
Where you fit
You'll sit within the Data Science team, working closely with Product Managers, Data Analysts, and subject‑matter experts.
This is a hands‑on modelling role with strong client interaction, where you'll take problems from discovery through to delivery - combining technical expertise with commercial thinking.
What you'll be doing
- Build predictive models (often propensity modelling / scoring models) to solve real customer and business problems
- Work directly with clients to understand challenges, run discovery sessions, and shape analytical approaches
- Develop and refine models, including training, testing, and optimisation
- Lead rapid prototyping and proof‑of‑concept work using Databricks notebooks
- Define features, model structures, and scoring outputs for data products
- Translate analytical outputs into clear, actionable insights and presentations for clients
- Contribute to the development of scalable, reusable data products within the platform
Example project
You might build a model that predicts which customers are most likely to repay debt, then segment them to determine the best engagement strategy - using behavioural and demographic patterns to optimise outcomes.
Tech stack
- Python & SQL (essential)
- Databricks (core analytics environment)
- Azure‑based data platform (with flexibility depending on client environments)
What you bring
Must‑haves
- 3+ years experience in data science
- Strong Python and SQL skills
- Experience building and evaluating predictive models
- Understanding of data modelling and feature engineering
- Ability to translate data into clear commercial insight and recommendations
- Confident communicator - comfortable working directly with clients
- Consultancy or client‑facing experience
Nice to have
- Experience with Databricks or cloud platforms (Azure, etc.)
- Background in customer, marketing, or transactional data
- Exposure to industries like telecoms, financial services, or utilities
Why this role
- Work on end‑to‑end data science projects - not just isolated modelling
- Strong balance of technical work and commercial impact
- Opportunity to contribute to product development and innovation
- Exposure to multiple clients, industries, and use‑cases
- Collaborative team environment with analysts, SMEs, and product teams
Working pattern
- Hybrid: 1 day per week in London
- Open to candidates based in the Midlands who can commute weekly
- Additional flexibility for the right candidate
- UK travel to clients may be required depending on project work
CONTACT
Kelsey Norris
Recruitment Consultant
SIMILAR
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Expert-level SQL + solid Python for product analytics
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London
£60000 - £80000
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To Apply for this Job Click Here
Job Title: Product Data Scientist – Hybrid – Up to £80,000
Location: London (Hybrid, 2 days p/w in office)
Salary: Up to £80,000 + benefits
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Analyse user behaviour to uncover insights, identify pain points, and influence product direction.
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Design experiments and support a culture of testing, learning, and iteration.
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Define and align key business metrics, ensuring consistency and accuracy across teams.
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Build and maintain dashboards and tools to empower stakeholders with self-serve insights.
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Conduct deep-dive analyses to support strategic initiatives and provide clear recommendations.
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Collaborate across functions to close data gaps and drive analytics best practice.
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Stay current on industry trends and champion innovative approaches to product data science.
The Candidate
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Proven experience in analytical roles, ideally within a digital-first or tech-led business.
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Skilled in SQL, Python or R, plus familiarity with BI tools (e.g. Looker, Tableau, Lightdash).
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Ability to translate business challenges into clear analytical projects and recommendations.
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Strong data storytelling and presentation skills, with confidence engaging senior stakeholders.
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Curious, proactive, and detail-oriented problem solver.
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Team player with strong collaboration skills.
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Salary up to £80,000 + bonus
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Hybrid working (2 days per week in London office)
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Competitive annual leave package
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Pension scheme and healthcare support
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Employee discounts and perks
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Regular team socials and recognition initiatives
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Strong learning and development opportunities
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To Apply for this Job Click Here
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London/Essex | Hybrid (1 day a month in office)
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Managing and optimising Google Ads campaigns
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Shopping campaign strategy and execution
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Working in a fast-paced, high-volume environment
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Strong hands-on Google Ads experience (essential)
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Background in retail or eCommerce
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Experience managing Shopping campaigns
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Able to balance strategic thinking with hands-on delivery
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Strong analytical and commercial mindset
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Comfortable working with senior stakeholders
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Thrives in a fast-paced, high-growth environment
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High-impact individual contributor role
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Opportunity to work closely with senior leadership
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Fast-moving, collaborative culture
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Annual cash bonus on top of base salary
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Clear opportunity to join at Manager or Senior Manager level, depending on experience
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Stage 1: 90-minute online interview with a live data task
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Stage 2: Final interview with the wider team
Find out more and apply via the link below!

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Senior PPC Manager
London
£55000 - £65000
+ Digital Analytics
PermanentLondon
To Apply for this Job Click Here
Senior PPC Manager
London | Hybrid (3 days office – Wednesday, Thursday + 1 flexible day)
Up to £65,000 + benefits
We’re partnering with a fast-paced, high-growth consumer business looking to hire a hands-on PPC professional to drive paid search performance across high-volume digital campaigns. This is an individual contributor role with significant visibility across the business.
The Role
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Managing and optimising Google Ads campaigns
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Performance analysis and campaign optimisation
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Budget management and ROI improvement
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Shopping campaign strategy and execution
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Working in a fast-paced, high-volume environment
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Strong hands-on Google Ads experience (essential)
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Background in retail or eCommerce
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Experience managing Shopping campaigns
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Able to balance strategic thinking with hands-on delivery
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Strong analytical and commercial mindset
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Comfortable working with senior stakeholders
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Thrives in a fast-paced, high-growth environment
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High-impact individual contributor role
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Opportunity to work closely with senior leadership
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Fast-moving, collaborative culture
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Annual cash bonus on top of base salary
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Clear opportunity to join at Manager or Senior Manager level, depending on experience
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Stage 1: 90-minute online interview with a live data task
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Stage 2: Final interview with the wider team
Find out more and apply via the link below!

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Senior Marketing Data Analyst
London
£60000 - £75000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Senior Marketing Data Analyst – Analytics, Marketing Science
London | Hybrid (3 days office / 2 WFH)
Up to £75,000 + benefits
We’re working with a leading customer experience and marketing analytics agency within a global network. The team delivers insight-led marketing effectiveness and customer analytics across a range of major client accounts.
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Key areas:
- End-to-end campaign and customer journey analysis
- Marketing effectiveness and performance measurement
- Client-facing insight delivery and presentations
- Dashboard oversight and reporting quality
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- Strong SQL and/or Python
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- Strong stakeholder and client communication skills
- Experience mentoring or guiding junior analysts
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- Strong understanding of segmentation, measurement, and customer analytics
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- High-profile client exposure
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- Clear progression and account rotation
Interview Process
- Stage 1: Competency & experience interview
- Stage 2: In-person interview with presentation/task
Find out more and apply via the link below!

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