Data Scientist

Clear Business
Greater Manchester
2 days ago
Create job alert
Overview

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.


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.
  • 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.

Success Criteria

  • Deliver a suite of models that provide measurable commercial benefits.
  • Implement a fully functioning feature store supporting scalable machine learning across teams.
  • Improve business metrics including acquisition, retention, churn and debt.
  • Demonstrate clear model accuracy and relevance to business challenges.
  • Streamline data science pipelines and produce impactful stakeholder insight packs.

Qualifications

  • Proven experience 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 all essential services in one place: Phone, Broadband, Mobile, Water, Gas, Green Electricity, Payment Services and Insurance.


Over two decades of growth have been recognised with awards such as Investors in People, the Northern Contact Centre Awards 2023 and the Learning at Work Week Awards 2023. We recently received 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 have ambitious growth plans and our people will grow with us. We’ll give you everything you need to develop and succeed: flexible working, a transparent rewards structure, a diverse and inclusive workplace, and the control to drive your own career.


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 a greener commute.
  • Comprehensive well‑being support including round‑the‑clock access to a GP, mental health assistance, fitness programmes, and complimentary legal and financial advice.

Extras

  • Hybrid working model: work remotely for three days a week.
  • Join or giving‑back initiative with charity fundraising and volunteering activities.
  • On‑site amenities: complimentary gym, free parking, 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 or bank holidays off.

What Happens Next

If you’re looking for a new challenge with great benefits at an award‑winning company, Click Apply today to take the next step in your career.


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.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist (Globally Renowned Retail Group)

Data Scientist / Software Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.