Senior Data Scientist 3-month FTC FE fundinfo Remote (United Kingdom) in London

Senior Data Scientist 3-month FTC FE fundinfo Remote (United Kingdom) in London

London Full-Time No working from home possible
Financial Express

Senior Data Scientist 3-month FTC FE fundinfo Remote (United Kingdom) Join to apply for the Senior Data Scientist 3-month FTC FE fundinfo Remote (United Kingdom) role at Financial Express Senior Data Scientist 3-month FTC FE fundinfo Remote (United Kingdom) 1 week ago Be among the first 25 applicants Join to apply for the Senior Data Scientist 3-month FTC FE fundinfo Remote (United Kingdom) role at Financial Express Job Description Join our team and lead the charge in transforming investment fund data with cutting-edge AI and cloud technologies! This is a 3-month Fixed Term Contract inside IR35. Building an enterprise solution for transitioning from SQL Procedures to API for our products, leveraging team knowledge and requirements. Designing and building a generic solution that caters to all our products, avoiding bespoke solutions. Developing tooling and systems to deliver advanced AI tools, including models as a service, custom-built models, and Large Language Models. Collaborating with the development team to design the operating model for AI systems and integrate them with existing products. Creating frameworks and boilerplates to accelerate the adoption of AI-driven services within our product portfolio. Providing expert guidance to teams adopting new tools and frameworks, ensuring adherence to architecture norms and standards. Job Description Join our team and lead the charge in transforming investment fund data with cutting-edge AI and cloud technologies! This is a 3-month Fixed Term Contract inside IR35. Your key responsibilities as a Senior Data Scientist will include: Building an enterprise solution for transitioning from SQL Procedures to API for our products, leveraging team knowledge and requirements. Designing and building a generic solution that caters to all our products, avoiding bespoke solutions. Developing tooling and systems to deliver advanced AI tools, including models as a service, custom-built models, and Large Language Models. Collaborating with the development team to design the operating model for AI systems and integrate them with existing products. Creating frameworks and boilerplates to accelerate the adoption of AI-driven services within our product portfolio. Providing expert guidance to teams adopting new tools and frameworks, ensuring adherence to architecture norms and standards. You will need the following experience and skills to join us as a Senior Data Scientist: You have experience working with applications and data in a cloud environment. You are proficient in SQL and Python. You have experience working with data pipelines, data warehouses, data lakes, and data quality tooling. You have experience with Microsoft services such as Databricks and Azure Services. You are experienced in working with LLM and Prompt Engineering. You have experience working with RESTful APIs and microservices. FE fundinfo is a leading investment management technology and data company connecting asset managers to distributors in the UK, Europe and Asia Pacific. We are proud of our vast, diverse, and highly skilled team, who help to make our industry Better Connected and Better Informed. At FE fundinfo, we foster a collaborative and innovative work environment. We offer flexible working hours, hybrid work options, and regular team events to ensure a healthy work-life balance. Our commitment to continuous learning means youll have access to numerous learning opportunities and the chance to work on exciting projects that make a real impact. Apply now and well aim to get back to you with feedback within 5 working days. Seniority level Seniority level Mid-Senior level Employment type Employment type Contract Job function Job function Science Industries IT System Data Services Referrals increase your chances of interviewing at Financial Express by 2x Sign in to set job alerts for “Senior Data Scientist” roles. 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Senior Data Scientist 3-month FTC FE fundinfo Remote (United Kingdom) in London employer: Financial Express

At Financial Express, we pride ourselves on being an exceptional employer that champions professional growth and innovation within the financial services sector. Our collaborative and inclusive culture, combined with a hybrid working model, ensures that you can thrive whether you're in our London office or working remotely. With generous benefits such as enhanced parental leave, sponsored learning opportunities, and a focus on employee wellbeing, we empower our team to navigate complexity with confidence and achieve meaningful success.

Financial Express

Contact Details:

Financial Express Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Scientist 3-month FTC FE fundinfo Remote (United Kingdom) in London

Get to Grips with Data Visualisation Tools

If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.

Join Local Business Intelligence Meetups

Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Financial Express!

Engage with Online BI Communities

Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.

Leverage Your University’s Career Support

If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!

Some tips for your application 🫡

Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.

Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.

Tailor Your Documents for Us:When applying for a full-time role at Financial Express, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!

Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.

How to prepare for a job interview at Financial Express

Show off your analytical skills

In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!

Practice your technical know-how

Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.

Portfolio of Projects

Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.

Know their business model

Get familiar with Financial Express’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.