Senior Consultant Data Scientist - Predictive Analytics in London

Senior Consultant Data Scientist - Predictive Analytics in London

London Temporary 60000 - 80000 £ / year (est.) Home office (partial)
North Highland

At a Glance

  • Tasks: Drive success through data analytics and predictive modelling to unlock valuable insights.
  • Company: Join a forward-thinking consultancy that values innovation and collaboration.
  • Benefits: Competitive pay, flexible working days, and opportunities for professional growth.
  • Other info: Onsite work in London 2-3 days a week; equal opportunity employer.
  • Why this job: Make a real impact by transforming businesses with your data-driven solutions.
  • Qualifications: Degree in a quantitative field and experience in applied data science required.

The predicted salary is between 60000 - 80000 £ per year.

As a Senior Consultant Data Scientist – Predictive Analytics, you will play a crucial role in driving success through your expertise in data analytics and predictive modelling. By applying your skills in causal inference, experimentation, and econometrics, you will help our clients unlock valuable insights and make data‑driven decisions that transform their businesses.

You Will

  • Utilize advanced statistical and mathematical models to analyze complex data and uncover meaningful patterns and trends.
  • Design and implement robust experimentation and A/B testing frameworks to evaluate the impact of client initiatives.
  • Collaborate cross‑functionally with business stakeholders to understand their challenges and translate data insights into practical solutions.
  • Develop data pipelines and analytical workflows using SQL, Python, and other relevant technologies.
  • Effectively communicate your findings and recommendations to both technical and non‑technical audiences.
  • Continually expand your knowledge and stay up‑to‑date with the latest advancements in the field of data science and predictive analytics.

Ideally We’d Like

  • A bachelor’s or master’s degree in a quantitative field such as Statistics, Economics, or Computer Science.
  • Extensive experience in applied data science, with a strong background in causal inference, regression modelling, and difference‑in‑differences analysis.
  • Proficiency in SQL and Python (or R) for data manipulation, analysis, and model development.
  • Proven track record of successfully delivering data‑driven projects and translating insights into actionable business recommendations.
  • Excellent communication and stakeholder management skills, with the ability to collaborate effectively with both technical and non‑technical teams.
  • A self‑motivated, adaptable, and problem‑solving mindset, with a genuine passion for driving positive change through data‑driven solutions.

Contract & Location

This is an initial 3‑6 month contract that requires onsite working in London 2‑3 days per week.

Requirements

Applicants must be authorized to work in the United Kingdom, without the need for visa sponsorship by North Highland. Work visa sponsorship will not be provided, either now or in the future, for this position. This is a temporary employee (PAYE) opportunity working via an Umbrella company.

Equal Opportunity

North Highland is an equal opportunity employer, and we adhere to all applicable laws and regulations to ensure a fair and equitable workplace. All qualified applicants will receive fair and impartial consideration without regard to race, color, sex, gender identity, religion, national, age, sexual orientation, disability, veteran status, or any other characteristic protected by law. We handle all information in accordance with local privacy standards and maintain strict confidentiality.

Senior Consultant Data Scientist - Predictive Analytics in London employer: North Highland

At North Highland, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a Senior Consultant Data Scientist in London, you will benefit from a dynamic environment that encourages professional growth through continuous learning and exposure to cutting-edge data analytics projects. Our commitment to diversity and inclusion ensures that every voice is valued, making it a rewarding place to contribute to meaningful change.

North Highland

Contact Details:

North Highland Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Consultant Data Scientist - Predictive Analytics in London

Network Like a Pro

Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the field. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.

Show Off Your Skills

Don’t just tell them what you can do; show them! Create a portfolio of your projects, especially those involving predictive analytics and data science. We recommend using platforms like GitHub to showcase your work. It’s a great way to demonstrate your expertise in SQL, Python, and more.

Ace the Interview

Prepare for your interviews by practicing common questions related to data science and predictive modelling. We suggest doing mock interviews with friends or using online resources. Remember, it’s not just about answering questions; it’s about communicating your findings clearly to both technical and non-technical audiences.

Apply Through Our Website

When you find a role that excites you, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team and making a difference with data-driven solutions.

We think you need these skills to ace Senior Consultant Data Scientist - Predictive Analytics in London

Data Analytics
Predictive Modelling
Causal Inference
Experimentation
Econometrics
Statistical Modelling
A/B Testing

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Senior Consultant Data Scientist role. Highlight your experience in predictive analytics, causal inference, and any relevant projects you've worked on. We want to see how your skills align with 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 help our clients make data-driven decisions. Keep it engaging and personal – we love to see your personality come through.

Showcase Your Technical Skills:Don’t forget to mention your proficiency in SQL and Python (or R). We’re keen to know how you’ve used these tools in past projects. If you have examples of A/B testing or data pipelines, definitely include those!

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows you’re serious about joining our team!

How to prepare for a job interview at North Highland

Know Your Data Science Stuff

Make sure you brush up on your knowledge of causal inference, regression modelling, and A/B testing. Be ready to discuss specific projects where you've applied these techniques, as this will show your practical experience and understanding of the concepts.

Show Off Your Technical Skills

Since SQL and Python (or R) are key for this role, prepare to demonstrate your proficiency. You might be asked to solve a problem or analyse a dataset during the interview, so practice coding challenges and be ready to explain your thought process.

Communicate Like a Pro

You’ll need to convey complex data insights to both technical and non-technical audiences. Practice explaining your past projects in simple terms, focusing on how your findings led to actionable business recommendations. This will highlight your communication skills.

Be Ready to Collaborate

This role involves working with various stakeholders, so think of examples where you've successfully collaborated across teams. Highlight your ability to understand different perspectives and translate data insights into practical solutions that drive positive change.