The Data Scientist will be responsible for the design, development, and implementation of quantitative and data-driven models to drive innovation and productivity for origination, due diligence, and investment performance. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.
Job Responsibilities:
CSA DC Sector Lead on a portfolio of projects
Co-ordinating the Civils, Structures and Architectural DC leadership team
Leading bids commercially and technically for multi-disciplinary opportunities with key clients
Ensuring all internal governance is followed both at bid stage and throughout the delivery of projects
Client facing CAM role for at least one key account
Identifying and securing targeted projects / revenue
Presenting to clients and prospective clients
Supporting other Directors in this sector with internal management and strategy
General administrative and management duties appropriate to data centre team
MINIMUM REQUIREMENTS:
• Fully Qualified Engineer (Chartered or equivalent)
• Proven related technical experience
• Recent experience of having worked on Data Centre projects.
Job Responsibilities:
Technical Design Lead on a portfolio of projects supporting Project Managers
Covering a multidisciplinary Team of CSA & MEP sitting across UK&I and Europe
Assisting bids commercially and technically for multi-disciplinary opportunities with key clients
Ensuring all internal governance is followed both at bid stage and throughout the delivery of projects
Presenting to clients and prospective clients
Supporting Directors in this sector with internal management and strategy
General administrative and management duties appropriate to data centre team
Qualifications
MINIMUM REQUIREMENTS:
• Working and collaborating with a team sitting across UK&I and Europe
• Fully Qualified Engineer (Chartered or equivalent)
• Proven related technical experience
• Recent experience having worked on Data Centre projects.
As a member of our professional and globally diverse team, you'll enjoy a supportive work environment that prioritises work-life balance, offering flexible and remote working options. Confident in advising clients with the ability to engage and form strong relationships
Experience in a client-facing role preferrable but not essential, can be in either supporting or managing an assigned client portfolio. We want our workforce to reflect the different and varied markets we operate in and to build a culture of inclusivity that makes colleagues feel welcome, valued and empowered to bring their whole selves to work every day.
The Vendor Data Group is part of the larger Core Development team at Jump Trading and is responsible for curating a centralized source of research and reference data for the firm to utilize. Collaborate with traders and researchers: Understand and meet Quant research and Trading team data needs. Ability and willingness to collaborate with traders and analysts in a real time environment.
Job Title:
Data Product Manager
Job Description:
The role
Reporting into the Product Director, you will be the product data expert - supporting the design, configuration and management of a series of data integrations that will evolve Dentsu's Audience, Insight & Identity capability across Dentsu markets and clients at scale. So, whether you're joining us, or looking to move to a different part of the business, we make sure we create equal opportunities for all.
Our work involves developing data and analytics solutions to regularly ingest and monitor data to detect regulatory and compliance risks such as fraud, bribery and corruption, money laundering, sanctions breaches, know your customer failings (KYC), price fixing, mis-selling of financial products, employee misconduct, trader, and market abuse (surveillance), and much more. SQL Server, PostgreSQL, Oracle, MySQL;
Data visualisation software: Spotfire, Tableau, or Power BI;
Azure cloud computing platform;
Big data technologies such as Spark, Elasticsearch, Hadoop;
Statistical techniques (regression, clustering etc. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. And with a commitment to hiring and developing the most passionate people, we are dedicated to making EY the best employer.
The fact you're now reading this job advert means we've tempted you to find out more about #lifeatHD - we really hope you like what you see, and you'll join us to share in the success of the exciting chapter that lies ahead. Our 4Cs principles are simple: we believe by creating the right culture for our colleagues and giving them the right tools to do their job, we'll deliver good outcomes for every customer, helping us to grow the company profitably and sustainably and allowing us to invest in the communities we serve
We deliver good outcomes for our customers every time by providing great products at the right price with our simple and straightforward service. Please also note that we have a thorough referencing process, which includes credit and criminal record checks.
We operate in EMEA and APAC regions and have the Global mandate to value data centres worldwide for Knight Frank. To extract relevant data from Client's balance sheets, profit and loss statements, construction contracts, power agreements and legal due diligence documents to influence use of variables in cash flow analysis. Newly qualified surveyors or analysts will be considered but will need to demonstrate a keenness to learn the drivers behind data centre valuation. Applications from recruitment agencies will not be accepted nor will fees be paid for unsolicited CVs, even if provided by PSL agencies.
• Create and maintain ETL processes for extracting, transforming and loading data from various sources into our systems - integrate diverse data sources to provide a unified view ensuring seamless data availability to various business applications
• Create entity relationship diagrams, write database queries, maintain data warehouses and data lakes.