Data scientist Work, Jobs in Anstey, Lec (with Salaries)

Data Scientist
Blue Light Card —Leicester
- Hybrid work
- Machine learning
- Free parking
- Annual leave
Lead Data Scientist /Deep Learning Practitioner
Capital One UK —Nottingham
- Full-time
- Hybrid work
- In-person
- Analytics
- Work from home
Pricing, Data & Analytics Cohort
Hastings Direct —Leicester
- Full-time
- Hybrid work
- Analysis skills
- Presentation skills
- Communication skills
- Annual leave
Data Scientist
Flint Bishop —Derby
- Full-time
- Analysis skills
- Bachelor's degree
- Machine learning
- Free parking
- Employee discount
Quick apply
Manager, Commercial AI
AMETEK, Inc. —Leicester
- £80,000 - £90,000 a year
- CRM software
- Travel
- AI
Head of Analytics
Dunelm —Leicester
- Analysis skills
- Communication skills
Data Lead - FTC
KP Snacks —Ashby-De-La-Zouch
- Temporary
- Hybrid work
- PMP
- ERP systems
- Travel
- Flexitime
- Employee assistance programme
Quick apply
12d
External - AI Architect (m/f/*)
Solventum —Loughborough
- Full-time
- Computer Science
- Master's degree
- Machine learning
Full Stack Engineer- Data Science Focus
Sperry Rail, Inc. —Derby
- Full-time
- Analysis skills
- Maths
- Machine learning
Quick apply
1d
Commercial Co-ordinator
Lear Corporation —Coventry
- Data analysis skills
- Master's degree
- Analysis skills
Full Stack Engineer, Data Science Focus with React
Sperry Rail, Inc. —Derby
- Full-time
- Presentation skills
- Machine learning
- Continuous improvement
Quick apply
1d

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Ecommerce Computer Analyst & Scientist
FILLAROMA LTD —Weston and Meir North
Perform predictive modelling and data analysis to support pricing, offers, and sales forecasting. Machine learning: 2 years (preferred).
£35,420.00 - £65,982.51 a year
Quick apply
7d

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Data Scientist

Blue Light Card -
Leicester

Apply Now

Job details

Benefits

Free parking
On-site gym
Annual leave
Company pension
Company events
Employee assistance programme
Private medical insurance
Flexible schedule
On-site parking

Qualifications

Dashboard visualisation
Stakeholder collaboration
Stakeholder liaison
Statistical analysis
Machine learning
Machine learning modelling
Forecasting
Regression analysis
A/B testing
Data science

Full job description

Blue Light Card. Individually great, together unstoppable

The Role and the Team

At Blue Light Card, our members are at the centre of everything we do. The Data Scientist team builds the algorithms and models that help us understand member behaviour, anticipate their needs, and keep our members engaged with the platform.

We’re looking for a Data Scientist, Decision Sciences, with a focus on retention and member engagement. You'll evaluate pipelines and results of retention models and identify improvements in outputs to improve the retention strategy. You'll partner closely with stakeholders across the organisation, translating complex questions into well-designed solutions, and communicating your findings in ways that land with both technical and non-technical audiences alike.

What You’ll Do

Design, develop, and iterate on machine learning models across the member lifecycle, with a particular focus on retention, churn prediction, and customer lifetime value

Evaluate existing model pipelines and outputs, identifying and implementing improvements to increase accuracy and business impact

Work closely with the CRM Lifecycle team to connect model outputs to retention strategies, capturing feedback and incorporating it back into model development

Build forecasting models and marketing mix models to support financial planning and commercial decision-making

Translate ambiguous business problems into well-defined data science approaches, conducting deep-dive analyses across member behaviour, commercial performance, and marketing effectiveness

Build and interpret A/B tests and holdout experiments to support evidence-based decision-making

Create dashboards and visualisations that help the wider organisation understand model results and progress

Act as a trusted partner to business and analytics stakeholders, understanding their goals and proactively identifying where data science can add value

What You’ll Bring

Significant experience as a Data Scientist, with a background in marketing analytics, ecommerce, or a loyalty or membership-driven environment

Strong Python proficiency for data manipulation, statistical modelling, and machine learning, alongside advanced SQL skills and experience with dbt

Solid grounding in statistical methods including regression, causal inference, and experimental design, with hands-on experience building and interpreting A/B tests

Practical experience building predictive models, particularly in retention or customer engagement contexts, with working knowledge of MLOps practices and model deployment pipelines

Experience collaborating with CRM or lifecycle marketing teams, with the ability to shape model outputs into actionable recommendations

The ability to communicate complex findings clearly to non-technical stakeholders, and to build reusable data products that others can act on independently

Familiarity with CLV modelling frameworks such as BG/NBD, Pareto/NBD, or ML-based approaches would be a bonus, but is not essential

Our Culture

Our mission is simple – make heroes happy. Our members are the real-life heroes who keep us all safe, cared for, and thriving. It's what gets us up in the morning and pushes us to go further, think bigger, and create something that truly matters. By focusing on their happiness, we create amazing experiences, deliver unrivalled discounts, innovative products, and world-class service.

We don't just follow the usual path - we look for smarter, bolder ways to deliver real impact. We take ownership, move fast, and work shoulder to shoulder to build something special.

We're committed to building a diverse and inclusive team where everyone feels they belong. Different perspectives and experiences help us grow, innovate, and better reflect the communities we serve.

We promote hybrid working, and value in-person collaboration so encourage time in our offices, where you can make the most of our fully stocked snack drawers – either the HQ in Leicestershire, or London, Holborn office. The frequency and office location will vary depending on the role and team. We aim to be flexible, but we aren't able to offer fully remote working.

Blue Light Card is an equal opportunities employer. We believe that employing a diverse workforce is key to our success. We make recruiting decisions based on your experience and skills. In the event of a high number of applications, we'll prioritise candidates who meet both the essential and desirable criteria for the role.

What We Offer

Hybrid working and flexible hours

EV charging and free parking onsite at HQ

25 days annual leave plus an additional day off for your birthday, and a buy and sell holiday scheme of up to 5 days

A company bonus scheme

Your own Blue Light Card and exclusive access to thousands of discounts

Generous funded BUPA medical insurance covering pre-existing conditions

Auto-enrolment pension scheme via salary sacrifice, with employer NI savings reinvested into pensions

Enhanced parental leave and absence leave

Healthcare cashback plan

Employee assistance programme (including mental health support) and mental health first aiders

Great social events e.g., festive party, summer party, team socials, sports matches

Regular company-wide recognition events e.g. monthly Light’s Up and annual Shine awards

Relaxed dress code and modern office space (games area, chill-out areas, book club, free drinks/snacks)

Onsite gym at HQ (including access to free HIIT & stretch classes)

Strong learning and development culture and personal growth fund

#LI-Hybrid

Apply Now

Refine Your Search

data scientist jobs in anstey, lec

Data Scientist

Lead Data Scientist /Deep Learning Practitioner

Pricing, Data & Analytics Cohort

Data Scientist

Manager, Commercial AI

Head of Analytics

Data Lead - FTC

External - AI Architect (m/f/*)

Full Stack Engineer- Data Science Focus

Commercial Co-ordinator

Full Stack Engineer, Data Science Focus with React

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