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- Tasks: Lead data product growth for institutional investors and drive actionable insights.
- Company: Semrush is a global leader in online marketing technology with a strong reputation.
- Benefits: Enjoy flexible hours, unlimited PTO, corporate events, and employee support programs.
- Why this job: Make a meaningful impact in finance while collaborating with top-tier clients and teams.
- Qualifications: 5+ years in data science with expertise in financial markets and strong Python skills.
- Other info: Join a diverse team committed to inclusion and innovation in a fast-paced environment.
The predicted salary is between 43200 - 72000 £ per year.
Senior Data Scientist, Financial Markets (Product Sales Team)
Join to apply for the Senior Data Scientist, Financial Markets (Product Sales Team) role at Semrush
Senior Data Scientist, Financial Markets (Product Sales Team)
Join to apply for the Senior Data Scientist, Financial Markets (Product Sales Team) role at Semrush
Are you ready to be part of something big? We’re hiring for the Senior Data Scientist, Financial Markets (Product Sales Team) on our Sales Team!
In this role, you’ll engage with key decision-makers, forge impactful relationships with some of the world’s most influential organizations, and directly contribute to the growth of Semrush.
Why Semrush?
We are a global leader in online marketing technology, meeting market demand with rapid scaling. Don’t miss the chance to join our unstoppable momentum and make history with us!
Some highlights of our success include:
- Semrush named a Leader in The Forrester Wave: Search Engine Optimization Solutions, Q3 2025
- $400M+ Annual Recurring Revenue
- 118,000+ paying customers worldwide
- 1M+ freemium users
- Exceptional demand for our new Enterprise platform, with deals secured from global giants like P&G, Tesla, FedEx, Samsung, Amazon, and others.
If you\’re looking for a role where your impact will be visible and meaningful, we’d love to hear from you.
Tasks in the role
We are seeking a Senior Data Scientist, Financial Markets with a deep background in quantitative research and financial markets to lead the growth of our alternative data feed products tailored for institutional investors. This is a high-impact role at the intersection of product, strategy, sales, marketing, and client success, with a focus on delivering actionable intelligence to the world’s leading hedge funds, asset managers, investment banks, and PE/VC firms.
You will drive the vision, integration, and adoption of data products including Clickstream, Semrush APIs, Mobile/App data, Backlinks, Brand, and Social solutions —with a clear mandate to build out best-in-class solutions for systematic and discretionary investment workflows .
Key Responsibilities:
- Lead and scale a portfolio of data feed products across quant, discretionary, and hybrid financial institutions
- Leverage alternative data experience (e.g., credit card, receipt, or web data) to build valuable and usable investment signals
- Evaluate and integrate internal and third-party datasets to expand coverage, quality, and commercial appeal
- Backtest and analyze data utility using quant-driven evaluation frameworks and real-world client feedback
- Champion the end user, tailoring product design to fit systematic, discretionary, and hybrid workflows
- Identify gaps in the alternative data market and lead product innovation beyond
- traditional feeds
- Collaborate closely with engineering to shape delivery formats, latency, and accessibility
- Author compelling research (white papers, notebooks, and case studies) to educate clients and drive adoption
- Work cross-functionally with Sales, GTM, Product, and Customer Success to ensure commercial success and client enablement
What we’re looking for
Key Qualifications:
- 5+ years of experience in a quantitative research, data science, or alternative data strategy role
- Deep familiarity with quant/data science fund workflows, including alpha discovery, signal validation, and portfolio integration
- Demonstrated success in launching and growing data products and/or strategies within institutional finance
- Strong command of Python, SQL, and data engineering/statistical tooling
- Skilled in translating complex datasets into clear, actionable value for both internal stakeholders and clients
- Experience collaborating across sales, product, and engineering to drive outcomes
- Excellent written and verbal communication skills—capable of engaging both technical and non-technical audiences
- Entrepreneurial mindset with the ability to work autonomously and move initiatives from 0 to 1
- Strong technical acumen with the ability to translate complex technical concepts into business value for customers and internal teams
Preferred Skills:
- Deep network in the buy-side and alternative data community
- Experience with time-series, transactional, or behavioral data sets
- Background in building research and marketing collateral for sophisticated institutional buyers
- Prior experience evaluating or acquiring third-party datasets
A Bit About The Team
The Sales team is at the forefront of empowering businesses to achieve online visibility and digital marketing success.
Through our One Semrush selling approach and world-class enablement programs, we equip our team with the tools, resources, and training needed to:
- Exceed sales goals
- Maximize earning potential
- Deliver meaningful results for our clients
To learn more about our business and vision, explore the Semrush Analyst Day 2024 presentation from New York City.
What’s In It For You
- Flexible working hours
- Unlimited PTO
- Flexi Benefit for your hobby
- Employee Support Program
- Loss of family member financial aid
- Employee Resource Groups
- Meals, snacks, and drinks at the office
- Corporate events
- Teambuilding
- Training, courses, conferences
- Gifts for employees
A Little More About Our Company
Semrush is a leading online visibility management SaaS platform that enables businesses globally to run search engine optimization, pay-per-click, content, social media and competitive research campaigns and get measurable results from online marketing.
We\’ve been developing our product for 17 years and have been awarded G2\’s Top 100 Software Products, Global and US Search Awards 2021, Great Place to Work Certification, Deloitte Technology Fast 500 and many more. In March 2021 Semrush went public and started trading on the NYSE with the SEMR ticker.
10,000,000+ users in America, Europe, Asia, and Australia have already tried Semrush, and over 1,700 people around the world are working on its development. The Semrush team is constantly growing.
Our Diversity, Equity, and Inclusion commitments
Semrush is an equal opportunity employer. Building a better future for marketers around the world unites people from all backgrounds. Even if you feel that you don’t 100% match all requirements, don’t be discouraged to apply! We are committed to ensure that everyone feels a sense of belonging in the workplace.
We do not discriminate based upon race, religion, creed, color, national origin, sex, pregnancy, sexual orientation, gender identity, gender expression, age, ancestry, physical or mental disability, or medical condition including medical characteristics, genetic identity, marital status, military service, or any other classification protected by applicable local, state or federal laws.
Our new colleague, we are waiting for you!
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Senior Data Scientist, Financial Markets (Product Sales Team) employer: Semrush
Contact Detail:
Semrush Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist, Financial Markets (Product Sales Team)
✨Tip Number 1
Network with professionals in the financial markets and data science sectors. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and decision-makers at Semrush. Building these relationships can give you insights into the company culture and the specific needs of the role.
✨Tip Number 2
Familiarise yourself with Semrush's products and services, especially those related to alternative data feeds. Understanding how these products work and their impact on institutional investors will allow you to speak knowledgeably during interviews and demonstrate your genuine interest in the role.
✨Tip Number 3
Prepare to discuss your experience with quantitative research and data science in detail. Be ready to share specific examples of how you've successfully launched data products or strategies in the past, as this will showcase your expertise and align with the key responsibilities of the position.
✨Tip Number 4
Stay updated on trends in the financial markets and alternative data landscape. Being knowledgeable about current events and emerging technologies will not only help you in interviews but also show that you're proactive and engaged in the field.
We think you need these skills to ace Senior Data Scientist, Financial Markets (Product Sales Team)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in quantitative research and data science, particularly within financial markets. Use specific examples that demonstrate your success in launching and growing data products.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role at Semrush and explain how your background aligns with their needs. Mention your familiarity with alternative data and your ability to translate complex datasets into actionable insights.
Showcase Technical Skills: Clearly outline your proficiency in Python, SQL, and any other relevant data engineering or statistical tools. Provide examples of how you've used these skills in previous roles to drive outcomes.
Highlight Communication Abilities: Since the role requires engaging with both technical and non-technical audiences, emphasise your excellent written and verbal communication skills. Include examples of how you've successfully communicated complex concepts to diverse stakeholders.
How to prepare for a job interview at Semrush
✨Showcase Your Quantitative Skills
As a Senior Data Scientist, you'll need to demonstrate your expertise in quantitative research. Be prepared to discuss specific projects where you've successfully applied data science techniques, particularly in financial markets. Highlight your experience with alternative data and how it has driven investment decisions.
✨Understand the Product Landscape
Familiarise yourself with Semrush's product offerings, especially those related to financial markets. During the interview, articulate how your background aligns with their data feed products and how you can contribute to their growth. This shows that you're not just interested in the role but also in the company's mission.
✨Prepare for Technical Questions
Expect technical questions that assess your proficiency in Python, SQL, and data engineering. Brush up on your coding skills and be ready to solve problems on the spot. You might also be asked to explain complex datasets and how you would translate them into actionable insights for clients.
✨Demonstrate Cross-Functional Collaboration
Since the role involves working closely with sales, product, and engineering teams, prepare examples of how you've successfully collaborated across different functions in previous roles. Highlight your communication skills and ability to engage both technical and non-technical audiences, as this will be crucial for driving outcomes at Semrush.
