Data Scientist I in London

Data Scientist I in London

London Full-Time 28800 - 48000 £ / year (est.) No home office possible
MarketCast, Inc.

At a Glance

  • Tasks: Analyse large datasets and create bespoke reports to deliver insights for clients.
  • Company: Join a leading data science consulting team at MarketCast, where innovation thrives.
  • Benefits: Enjoy 29 days of annual leave, flexible hours, and work-from-home options.
  • Other info: Be part of a diverse team that values empathy, client success, and professional growth.
  • Why this job: Make a real impact in data science while growing your skills in a dynamic environment.
  • Qualifications: 2-4 years in data science, strong skills in SQL and Python, and a passion for problem-solving.

The predicted salary is between 28800 - 48000 £ per year.

We are looking for a Data Scientist to join the Data Science Consulting Team based in Reading/London. This new role is responsible for analysing extremely large datasets, creating bespoke client reports, exploring new datasets and building new algorithms to deliver services to clients.

Responsibilities include:

  • 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.

It’ll be helpful if you have:

  • A blend of technical expertise, analytical acumen, and strong communication skills.
  • A proactive problem-solver with a passion for learning and a collaborative spirit.
  • A profound understanding of statistical methods.

Requirements include:

  • 2-4 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.

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.

At MarketCast, we don’t just accept differences - we embrace them, support them, and thrive on them for the benefit of our global culture and success. MarketCast is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of age, disability, gender reassignment, marital status, pregnancy and maternity, race, religion or beliefs, sex and sexual orientation.

In addition to your salary, MarketCast believes in providing a competitive total rewards package for its employees. MarketCast offers employees a holistic and wide array of benefits, such as:

  • Generous annual leave of 29 days, PLUS Bank Holidays.
  • Flextime with core hours between 10 am and 3 pm.
  • 2 days’ work from home, per week.
  • A suite of benefits, including free movie tickets.
  • Enhanced maternity pay.
  • Regular social events in both of our UK locations.
  • Professional growth and career development, including LinkedIn Learning.

All benefits are subject to eligibility requirements, and the terms of our official plan may be modified or amended from time to time.

Data Scientist I in London employer: MarketCast, Inc.

At MarketCast, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters collaboration and innovation. Our Reading location provides a dynamic environment for Data Scientists to thrive, with generous benefits such as 29 days of annual leave, flexible working hours, and opportunities for professional growth through initiatives like LinkedIn Learning. Join us to be part of a passionate team dedicated to transforming data into impactful insights while enjoying a supportive atmosphere that values diversity and personal development.
MarketCast, Inc.

Contact Detail:

MarketCast, Inc. Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Scientist I in London

✨Tip Number 1

Network like a pro! Reach out to current Data Scientists or team members at MarketCast on LinkedIn. A friendly chat can give you insights into the company culture and maybe even a referral!

✨Tip Number 2

Prepare for your interview by brushing up on your technical skills. Be ready to discuss your experience with Python, SQL, and machine learning algorithms. We want to see how you tackle real-world data problems!

✨Tip Number 3

Show off your passion for data! Bring examples of your past projects or visualisations to the interview. This will demonstrate your analytical skills and your ability to communicate insights effectively.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our awesome team!

We think you need these skills to ace Data Scientist I in London

Data Analysis
Machine Learning
Python
SQL
Tableau
Feature Engineering
Statistical Methods
Problem-Solving Skills
Communication Skills
Project Management
Model Evaluation Metrics
Cross-Validation Techniques
Analytical Skills
Curiosity about Data
Collaboration

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with Python, SQL, and any machine learning projects you've worked on. We want to see how your skills match what we're looking for!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to our team. Be sure to mention any relevant projects or experiences that showcase your analytical skills.

Showcase Your Problem-Solving Skills: In your application, don’t just list your skills—show us how you've used them to solve real-world problems. We love candidates who can think critically and creatively about data challenges!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining our awesome team!

How to prepare for a job interview at MarketCast, Inc.

✨Know Your Data Science Stuff

Make sure you brush up on your technical skills, especially in Python, SQL, and machine learning algorithms. Be ready to discuss your experience with supervised and unsupervised learning models, as well as any projects you've managed independently.

✨Show Off Your Problem-Solving Skills

Prepare to talk about how you've tackled complex data problems in the past. Think of specific examples where you’ve used critical thinking to derive insights from large datasets and how those insights led to actionable recommendations.

✨Communicate Clearly

Since strong communication skills are key for this role, practice explaining your technical work in simple terms. You might be asked to discuss your findings with clients, so being able to articulate your thought process is crucial.

✨Be Curious and Collaborative

Demonstrate your passion for data by discussing your curiosity about different datasets and your eagerness to learn. Highlight any experiences where you’ve worked collaboratively with teams, especially across different locations, to solve data challenges.

Data Scientist I in London
MarketCast, Inc.
Location: London

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