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Simplify Software Experts LLC/ Simpli Software Solutions Inc

Data Scientist

London
Posted 21 days ago
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Data Scientist

Data Scientist I

Location: London – London / Reading, UK

We are looking for a Data Scientist to join the Data Science Consulting Team based in Reading/London. There are already 25+ Data Scientists in the entire Data Science team, and we continue to grow apace! This new role is responsible for analyzing extremely large datasets, creating bespoke client reports, exploring new datasets, and building new algorithms to deliver services to clients.

Responsibilities:

  • Explore and extract data from multiple sources and interrogate this data to create meaningful insights
  • Scope and define the approach to typical projects that Data Science Consulting Team works on
  • Research, develop, and test solutions to problems that use both supervised and unsupervised learning models
  • Discuss technical and analytical aspects of your work with clients
  • Maintain and improve our machine learning pipelines, processes and products
  • Use tools and languages such as Python, SQL and Tableau for reporting and analysis on our AWS data platform
  • Work with our India based Data Engineering team and our Sales and Market Research Teams in the US and UK
  • Have knowledge of a Broader set of techniques available for each type of ML problem. Typically having real in-depth knowledge in a couple of areas (e.g. Forecasting, Segmentation etc.)
  • Critically think about what features are required to address a client business problem, and transform the data to achieve this
  • Confidently be relied upon to create models that are robust and do not suffer from issues such as multicollinearity, overfitting, data leakage etc.
  • Have knowledge of advanced machine learning algorithms such as random forest, gradient boosting, and support vector machines
  • Experience in feature engineering and selection techniques
  • Understanding of model evaluation metrics and cross-validation techniques

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Requirements:

To be successful in this role, candidates should possess a blend of technical expertise, analytical acumen, and strong communication skills. The ideal candidate will also be a proactive problem-solver with a passion for learning and a collaborative spirit. This role is perfect for someone eager to contribute to a dynamic team and grow their career in the field of data science. A profound understanding of statistical methods will further enhance the candidate's ability to excel in this position.

  • 4+ years’ experience of working within the Data Science domain
  • Proven experience of managing Data Science projects independently
  • A desire to understand the why, and dig into data to understand what makes people tick
  • A Bachelor’s degree in a subject such as Applied Mathematics, Statistics, Economics, Psychology, Sociology, Physics, Engineering, Computer Science, etc. (a Master’s Degree or higher is a plus)
  • Solid data analytics skills; proven proficiency with SQL, Python & Pandas is a must
  • The ability to understand business problems, draw conclusions from data and recommend actions on how best to solve these problems
  • Strong communications skills, and an ability to document requirements and work with other team members
  • An appreciation for general Quant Market Research techniques would be beneficial but not necessary
  • Experience with TV viewing data, the TV industry and/or Media Industry experience; this isn’t a pre-requisite, but a genuine interest is
  • A curiosity about data and enjoy building data visualisations that clearly articulate insight

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Our Vision:

We are creating the most tech and data-forward research business on the planet, where primary research, AI, and big data work together to solve complex marketing, content, and product development challenges.

Our Values:

  • Radical Candor
    • Caring personally while challenging directly – offering feedback that is honest and clear, but always rooted in genuine empathy and respect for the individual.
  • Client Obsession
    • Maintaining an unwavering focus on understanding and exceeding client needs and expectations, consistently delivering value, and building lasting partnerships through proactive communication, responsiveness, and a relentless commitment to client success.
  • Unmatched Expertise
    • A level of deep, specialised knowledge and skill that exceeds industry standards, allowing delivery of innovative, tailored solutions to complex client challenges, driving superior outcomes. Fostering growth for our talent and establishing a reputation for excellence.
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Skills

Data Analysis
Machine Learning
Python
SQL
Tableau
Feature Engineering
Statistical Methods
Data Visualization
Client Communication
Problem Solving
Cross-Validation
Supervised Learning
Unsupervised Learning
Data Extraction
Algorithm Development
Model Evaluation

Location

London, England, United Kingdom

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