Data Scientist

Clear Business; Sale; Hybrid; GBP 40,000 - 60,000; Full time

Job summary

A leading data-driven company in the UK is seeking a Data Scientist to join their innovative team. In this role, you will develop predictive models to shape strategic outcomes, drive model optimization, and uncover insights from customer data. Essential qualifications include strong skills in Python and SQL, along with a passion for problem-solving and continuous improvement. The position offers a hybrid working model with a range of benefits, including flexible working and comprehensive well-being support.

Benefits

Pension contributions

Generous discounts

25 days holiday

Birthday off

Cycle to work loans

Comprehensive well-being support

Qualifications

• Proven experience in building and implementing data science models.
• Strong Python and SQL skills with a solid grasp of machine learning techniques.
• Ability to visualize data and communicate insights to senior stakeholders.

Responsibilities

• Build and refine large datasets to support model development.
• Design and implement machine learning models aligned to key business metrics.
• Uncover trends and patterns in customer data to deliver actionable insights.
• Collaborate with data engineers to build efficient data pipelines.

Skills

Python

SQL

Machine Learning

Data Visualization

Statistics

Problem-Solving

Tools

Dashboarding tools

Job description

Are you passionate about turning data into decisions that drive real business impact? At Clear Business, our well‑established data science team is at the forefront of transforming how we understand and serve our customers. We're looking for a Data Scientist to join us in developing predictive models that directly shape strategic outcomes. In this high‑impact role, you'll harness raw data to create actionable insights that reduce churn, boost upsell opportunities, increase revenue, and lower operational costs. You’ll be central to our mission of optimising customer management and delivering measurable commercial value.

What We Want You To Do

• Build and refine large datasets to support model development.
• Design and implement machine learning models aligned to key business metrics.
• Uncover trends and patterns in customer data to deliver actionable insights.
• Collaborate with data engineers to build efficient data pipelines.
• Drive model optimisation through experimentation and stakeholder feedback.
• Create a centralised feature store to democratise AI and ML capabilities.
• Act as a subject matter expert in machine learning and AI across the business.
• Own end-to-end data science workflows — from dataset creation to model deployment.

What Success In The Role Looks Like

• A suite of models that deliver measurable commercial benefits.
• A fully functioning feature store supporting scalable machine learning across teams.
• Improved business metrics including acquisition, retention, churn, and debt.
• Clear demonstration of model accuracy and relevance to business challenges.
• Streamlined data science pipelines and impactful stakeholder insight packs.

What You Need to Have Already Done to Be Right for This Role

• Proven experience in building and implementing data science models.
• Strong Python and SQL skills, with a solid grasp of machine learning techniques.
• Ability to visualise data and communicate insights to senior stakeholders.
• Excellent problem‑solving skills and a passion for continuous improvement.

Skills

• Experience with dashboarding tools to monitor model performance.
• Strong grasp of statistics, hypothesis testing, and experimental design.
• Excellent communication skills and a problem‑solving mindset.

Our Story

Clear Business was established with the goal of simplifying our customers' lives and making our colleagues' experiences more rewarding. As one of the top providers for small businesses in the UK, we offer a truly distinctive service by providing all essential services in one place: Phone, Broadband, Mobile, Water, Gas, Green Electricity, Payment Services, and Insurance. For more than two decades, our growth journey has been marked by various accolades, such as Investors in People, The Northern Contact Centre Awards 2023, and Learning at Work Week Awards 2023. Our latest achievement was receiving the 'One to Watch' award from Best Companies.

Why Choose Clear Business?

At Clear Business, we don’t just do jobs, we do careers. We’ve got ambitious growth plans, and our people will grow with us. So, we’ll give you everything you need to develop and succeed. That means things like flexible working, a totally transparent rewards structure, a diverse and inclusive workplace, and the control to drive your own career and shape your own opportunities. Clear Business is a great place to work, made better by you.

Benefits

• Pension contributions and life assurance coverage.
• Generous discounts at numerous high street and online retailers.
• 25 days holiday, increasing to 28 days through length of service.
• Enjoy your birthday off every year.
• Purchase up to 10 additional holidays and sell up to 5 days per year.
• Cycle to work and travel loans for people wanting a greener commute.
• Comprehensive well‑being support, including round‑time access to a GP, mental health assistance, fitness programs, and complimentary legal and financial advice.

The Important Extras

• Hybrid working model: the choice to work remotely for three days.
• Join or giving back initiative and support with charity fundraising and volunteering activities.
• Enjoy fantastic on‑site amenities including a complimentary gym, free parking, a subsidised café, and an on‑site bar for post‑work drinks, quiz nights, and social gatherings.
• Full time/Permanent contract of 37.5 hours per week.
• No weekends and every bank holiday off.

What Happens Next

If you’re looking for a new challenge with great benefits at an award‑winning company, then Clear Business is the place for you. To be part of our continued success click 'Apply' today to take the next step in your career.

Across Clear Business, we’re passionate about creating an inclusive team and celebrating our diversity. We want talented people with great skills and matching values to join our teams. All successful candidates will be subject to pre‑employment checks.

Please note that this vacancy may close early if we receive a sufficient number of suitable applications; however, we may retain your application on file for future opportunities.